☆ 4.7 Review

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

ENERGY & FUELS (2022)

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Article Chemistry, Physical

Application of machine learning and Box-Behnken design in optimizing engine characteristics operated with a dual-fuel mode of algal biodiesel and waste-derived biogas

Prabhakar Sharma et al.

Summary: This study predicts and optimizes the combustion and exhaust emission characteristics of a variable compression dual-fuel combustion engine using waste-derived biogas and third-generation algal biodiesel. An Artificial Neural Network (ANN) based prognostic model is developed to estimate various parameters. The Multi-Output Response Surface Methodology (RSM) is employed to optimize the dual-fuel combustion parameters. The results demonstrate the effectiveness of the developed model.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2023)

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Article Energy & Fuels

Evaluation of wind energy potential: a case study

Bekir Adem Cakmakci et al.

Summary: In this study, the wind energy potential of the Kirklareli University Kayali Campus was evaluated using statistical distribution methods. The most suitable model and turbine model were determined, and the annual wind speed, wind direction, and electrical energy generation were predicted.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Thermodynamics

Optimization of a vertical axis wind turbine with a deflector under unsteady wind conditions via Taguchi and neural network applications

Wei-Hsin Chen et al.

Summary: Vertical axis wind turbines (VAWTs) are a sustainable and versatile means of energy production. In this study, the impact of unsteady wind conditions on the performance of VAWTs with deflectors is analyzed using the Taguchi method and a neural network model. The results show that the mean TSR has the greatest impact on the power coefficient, and the optimal operation of the VAWTs can be significantly improved under the guidance of the neural network model.

ENERGY CONVERSION AND MANAGEMENT (2022)

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Article Chemistry, Physical

Characteristics of hydrogen production from steam gasification of plant-originated lignocellulosic biomass and its prospects in Vietnam

Anh Tuan Hoang et al.

Summary: This review analyzed the key factors affecting hydrogen production yield from steam gasification of plant-originated lignocellulosic biomass and evaluated the effects of these factors on tar formation reduction. It also provided detailed information on the separation process of produced hydrogen and discussed the technological, environmental, and economic challenges of biomass gasification. Furthermore, it profiled the potential of Vietnam in developing its hydrogen economy and identified primary factors hindering the widespread application of biomass for hydrogen production, along with proposed solutions.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2022)

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Review Chemistry, Multidisciplinary

Cutting fluid corrosion inhibitors from inorganic to organic: Progress and applications

Haogang Li et al.

Summary: This article discusses the research status and application of cutting fluid corrosion inhibitors, analyzes the film formation mechanism, suitability, and performance of inorganic and organic corrosion inhibitors, and studies the influence of temperature, concentration, and metal surface state on corrosion inhibition effect. The future research directions, such as establishing a molecular dynamics model of corrosion inhibitor failure and accelerating corrosion, and developing general-purpose green additives, are also prospected.

KOREAN JOURNAL OF CHEMICAL ENGINEERING (2022)

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Article Engineering, Multidisciplinary

Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques

Mehdi Jamei et al.

Summary: In this study, different machine learning models were compared to predict the density of various nanofluids in thermal energy applications. The results demonstrated that the MARS model outperformed the others.

MEASUREMENT (2022)

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Article Engineering, Chemical

Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model -prediction using modern machine learning techniques

Zafar Said et al.

Summary: A direct sol-gel technique was used to produce rGO-Fe3O4-TiO2 ternary hybrid nanocomposites, and prediction models were developed to forecast their stability and density. Machine learning techniques played a crucial role in the prediction models and proved to be more accurate than traditional analytical methods.

POWDER TECHNOLOGY (2022)

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Article Energy & Fuels

Properties of water-based fly ash-copper hybrid nanofluid for solar energy applications: Application of RBF model

Praveen Kanti et al.

Summary: The study investigated the thermal conductivity and viscosity of fly ash-copper hybrid nanofluid for solar energy applications, showing significant enhancements in dynamic viscosity and thermal conductivity at specific concentrations and temperatures. Models were proposed to estimate the nanofluid properties, and a neural network was utilized to predict effective thermal conductivity and relative viscosity. The outcomes were used to calculate Mouromtseff number and heat transfer efficiency for solar energy applications.

SOLAR ENERGY MATERIALS AND SOLAR CELLS (2022)

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Article Energy & Fuels

Influence of longitudinal fin arrangement on the melting and solidification inside the triplex tube latent heat thermal storage system

Jay R. Patel et al.

Summary: A two-dimensional melting/solidification model of Phase Change Material (PCM) was developed and the effect of longitudinal fins on the performance of both melting and solidification rate of PCM was studied in this research. It was found that three fins in the bottom portion were more effective for melting enhancement, while L-shaped fins provided similar melting enhancement and a slight reduction in solidification time. Moreover, increasing the number of fins with reduced length showed the most significant improvement in the combined melting-solidification duration, with a 60.77% reduction in time.

JOURNAL OF ENERGY STORAGE (2022)

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Article Green & Sustainable Science & Technology

Recent advancements in latent heat phase change materials and their applications for thermal energy storage and buildings: A state of the art review

Faisal Hassan et al.

Summary: This review discusses the applications of phase change materials (PCMs) in energy conservation and thermal control. Various methods, such as adding highly thermal conductivity nanoparticles and encapsulation, have been used to improve the low thermal conductivity of PCMs. PCMs have a wide range of applications, including in photovoltaic, thermal management, and food packaging. Based on analysis of recent literature, phase transition temperature, phase transition enthalpy, and thermal conductivity are identified as important parameters for selecting suitable PCMs.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2022)

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Article Green & Sustainable Science & Technology

4E (energy, exergy, economic and environmental) investigation of LFR using MXene based silicone oil nanofluids

Mokhtar Ghodbane et al.

Summary: The study conducted a numerical investigation of an industrial process in the El-Oued region of Algeria using a linear Fresnel reflector (LFR) coupled with a Therminol 66 oil storage tank. By utilizing different concentrations of MXene/silicone oil nanofluids, the study showed improvements in thermal conductivity and thermal efficiency, cost reduction, and reduction in greenhouse gas emissions.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2022)

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Article Green & Sustainable Science & Technology

Solar organic Rankine cycle and its poly-generation applications - A review

Pammi Raj Gupta et al.

Summary: The solar Organic Rankine Cycle system is a reliable renewable energy technology that can generate various useful energy outputs by combining it with poly-generation units, including electricity, heating, cooling, drying, desalination, and hydrogen. This review study mainly focuses on the cogeneration, trigeneration, and poly-generation applications of the solar Organic Rankine Cycle.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2022)

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Article Thermodynamics

Assessment of alumina/water nanofluid in a glazed tube and sheet photovoltaic/thermal system with geothermal cooling

Sanjeev Jakhar et al.

Summary: This article evaluates the performance of NF in a PV/T system in Pilani, India, showing that NF performs better in terms of improving electrical efficiency and reducing temperature difference under the equal Re comparison criterion. However, under the equal pumping power evaluation criterion, NF's performance is inferior.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2022)

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Article Green & Sustainable Science & Technology

Supply and Demand Characteristics of Palm Kernel Shell as a Renewable Energy Source for Industries

H. Handaya et al.

Summary: Converting biomass into energy can reduce dependency on fossil fuels and decrease greenhouse gas emissions. Palm kernel shell, a high-energy oil palm biomass, has potential as a renewable energy source. Studying the supply chain of palm kernel shell and establishing a sustainable supply chain model are crucial in realizing the potential of this renewable energy source.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2022)

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Article Green & Sustainable Science & Technology

Efficiency Improvement of Ground-Mounted Solar Power Generation in Agrivoltaic System by Cultivation of Bok Choy (Brassica rapa subsp. chinensis L.) Under the Panels

Manoch Kumpanalaisatit et al.

Summary: An agrivoltaic system, combining solar power generation and crop production, has the potential to increase land value and revenue. A study conducted at a solar power plant in Thailand found that planting crops under the solar panels reduced module temperature and increased power generation, despite the lower crop yield.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2022)

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Review Green & Sustainable Science & Technology

A Systematic Review on the Renewable Energy Development, Policies and Challenges in Nigeria with an International Perspective and Public Opinions

Justin Ugwu et al.

Summary: Due to the threat posed by fossil fuels, many countries have turned to renewable energy for power generation. However, most African countries have not yet realized the importance of renewable energy. Nigeria has abundant renewable energy sources, but the utilization level is low due to factors such as policy implementation, financial issues, unfavorable government policies, and lack of research.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2022)

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Review Green & Sustainable Science & Technology

Enhanced Geothermal Systems - Promises and Challenges

Anirbid Sircar et al.

Summary: Geothermal energy is an important part of the world's energy resources. This study focuses on the utilization and development of deep-sea geothermal resources. By employing enhanced geothermal systems (EGS) technology, the permeability and fluid saturation of reservoirs can be improved to enhance energy extraction efficiency. Additionally, the study evaluates the use of technologies such as hydraulic fracturing and hydro shearing, and discusses associated control measures. It also analyzes various simulators for reservoir characterization and description.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2022)

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Article Agricultural Engineering

Recent advances in computational fluid dynamics (CFD) modelling of photobioreactors: Design and applications

Panneerselvam Ranganathan et al.

Summary: This study reviews the application of computational flow modelling in photobioreactors and discusses an integrated modelling approach for these reactors. It also reviews intensified systems for improving the performance of photobioreactors. Future considerations include the development of multi-scale modelling methods and low-cost efficient computational frameworks, as well as the use of process intensification techniques to enhance hydrodynamics, mixing, and mass transfer in photobioreactors.

BIORESOURCE TECHNOLOGY (2022)

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Article Chemistry, Physical

A unique artificial intelligence approach and mathematical model to accurately evaluate viscosity and density of several nanofluids from experimental data

Shiva Singh et al.

Summary: In this research, a unique single feed-forward multilayer perceptron neural network based on data transformation technique and mathematical models was proposed for the prediction of density and dynamic viscosity of nanofluids. The experiments showed that the density and dynamic viscosity of nanofluids increase with concentration and decrease with temperature. The MLPNN model had a small deviation compared to experimental results.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2022)

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Review Energy & Fuels

Progress in Development of Photocatalytic Processes for Synthesisof Fuels and Organic Compounds under Outdoor Solar Light

Alexey Galushchinskiy et al.

Summary: With photovoltaics being a mature technology, society is willing to invest in the development of new technologies based on solar light. Funding for photocatalytic and photoelectrocatalytic technologies has exponentially increased in the past decade, with the European Commission allocating over 75 million euros from 2019 onwards. This review provides an overview of these processes for synthesizing bulk commodities and chemicals, and discusses the potential impact of solar-driven chemistry on society and the economy.

ENERGY & FUELS (2022)

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Article Energy & Fuels

Comparative thermal performance enhancement study of a reverse-irradiated and direct-irradiated direct absorption solar collector using silver nanofluid

Varun Kumar Gupta et al.

Summary: This study investigates the application of plasmonic nanofluids in direct absorption solar collectors. The experimental results show that using a reverse-irradiated DASC system can reduce temperature gradient and improve thermal conversion efficiency.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Energy & Fuels

Predicting bio-oil yield obtained from lignocellulosic biomass pyrolysis using artificial neural networks

Marianela Ortiz-Alvarez et al.

Summary: This study used Artificial Neural Networks to model the bio-oil yield from pyrolysis of lignocellulosic biomass and obtained an accurate prediction model through validation.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Energy & Fuels

A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms

Rajasekaran Rajamoorthy et al.

Summary: Intelligent Transport System (ITS) aims to improve traffic efficiency by reducing traffic problems. Users connected to smart cities can access information such as traffic issues and real-time travel information in advance. To solve the problem of traffic jams caused by electric vehicles (EVs) heading to charging stations, an optimized charging scheduling algorithm based on Grey Sail Fish Optimization (GSFO) is proposed.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Energy & Fuels

Coordination of thermal/wind energies in power-to-gas process for cost/pollution abatement considering wind energy recovery

Reza Hemmati et al.

Summary: This paper discusses the utilization of thermal and wind energies in the power to gas (P2G) process, aiming to reduce operating costs and environmental pollution.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Energy & Fuels

Hydrogen rich syngas production from food waste via an integrated two-stage process of in-situ steam gasification after fast pyrolysis

Aayush Raizada et al.

Summary: This study introduced an integrated two-stage process for treating mixed food waste and producing syngas with higher hydrogen fraction. The proposed approach had higher hydrogen and CO fraction compared to the conventional overlapping process at the same temperature, and the hydrogen fraction and syngas yield further increased at a higher temperature.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Energy & Fuels

Pathways of lignocellulosic biomass deconstruction for biofuel and value-added products production

Shams Forruque Ahmed et al.

Summary: This paper addresses the gaps in the existing literature review works by comprehensively evaluating different pretreatment methods and applications of lignocellulosic biomass (LCB) and incorporating techno-economic considerations. The review finds that physical and chemical pretreatment methods, although effective, are highly dependent on energy and chemicals, producing waste and inhibitory compounds. Biological pretreatment can address these challenges but has longer incubation times. Integrated/coupling methods have gained popularity for improving chemical yield but come at a high cost of operation. Process integration and optimization are needed to make pretreatment processes more techno-economically feasible.

FUEL (2022)

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Article Energy & Fuels

Prediction-Optimization of the Effects of Di-Tert Butyl Peroxide-Biodiesel Blends on Engine Performance and Emissions Using Multi-Objective Response Surface Methodology

Prabhakar Sharma

Summary: This study investigated the impact of the additive di-tert butyl peroxide (DTBP) on the combustion and emission properties of waste cooking oil biodiesel-diesel blends. Optimization was performed using the multi-objective response surface technique. The results showed that the usage of DTBP in biodiesel blends significantly improved the combustion and emission properties.

JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2022)

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Article Energy & Fuels

Statistical and Continuous Wavelet Transformation-Based Analysis of Combustion Instabilities in a Biodiesel-Fueled Compression Ignition Engine

Prabhakar Sharma et al.

Summary: This article presents an experimental evaluation of cyclic variability or combustion instabilities of waste cooking oil biodiesel-diesel blends powered compression ignition engine. Advanced in-vehicle combustion analyzer with a piezoelectric pressure sensor was used for accurate measurements, eliminating experimental uncertainty. Statistical and wavelet analysis methods were used to investigate cyclic variation in combustion. The results of both methods were in agreement with each other, indicating self-validation. Overall combustion analysis, including wavelet analysis and statistical method, suggests that biodiesel blending enhances combustion stability in unmodified diesel engines, resulting in a more silent and smoother engine operation compared to conventional diesel fuel.

JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2022)

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Article Energy & Fuels

Comparative evaluation of AI-based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe3O4-coated MWCNT hybrid nanofluids for potential application in energy systems

Prabhakar Sharma et al.

Summary: This paper presents a metamodel framework to predict the thermophysical parameters of Fe3O4-coated MWCNT hybrid nanofluids. GEP and ANFIS models are used for prediction and are validated and compared. The results show that the GEP model outperforms the ANFIS model in most indicators. The generated metamodel can be used to replace expensive and repetitive laboratory procedures.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

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Article Green & Sustainable Science & Technology

Energy-related approach for reduction of CO2 emissions: A critical strategy on the port-to-ship pathway

Anh Tuan Hoang et al.

Summary: The maritime sector is working towards finding efficient solutions to change energy consumption patterns of ports and ships in order to ensure sustainable operation and reduce CO2 emissions. This review work presents the main methods and criteria for monitoring CO2 emissions from ports and ships, as well as thoroughly examines the application of renewable energy technologies and energy-saving techniques in reducing CO2 in ports and ships. The key finding is that port-to-ship interactions utilizing zero-emission energy sources or nearly zero-emission approaches offer significant benefits for CO2 emission reduction.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Engineering, Chemical

Experimental investigation on thermal conductivity of fly ash nanofluid and fly ash-Cu hybrid nanofluid: prediction and optimization via ANN and MGGP model

Praveen Kumar Kanti et al.

Summary: Experimental results show that the thermal conductivity of hybrid nanofluid increases with temperature and concentration, and a new calculation method is proposed. The use of MGGP and ANN methods for TC prediction demonstrates excellent predictive capabilities for both fly ash and hybrid nanofluid.

PARTICULATE SCIENCE AND TECHNOLOGY (2022)

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Article Computer Science, Artificial Intelligence

Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction

Humphrey Adun et al.

Summary: Solar energy technologies are a viable alternative to fossil fuels for global energy demands. This study explores the use of machine learning to predict the thermophysical properties of nanofluids for cost-effective synthesis of nanofluid-based solar energy technologies. The implementation of a novel optimizable Gaussian process regression model showed superior predictive performance in estimating the viscosity of a wide range of hybrid nanofluids, making the design of nanofluid-based solar energy technologies more cost-effective.

NEURAL COMPUTING & APPLICATIONS (2022)

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Article Engineering, Environmental

Biomass-derived biochar: From production to application in removing heavy metal-contaminated water

Wei-Hsin Chen et al.

Summary: Wastewater treatment can help reduce water shortages and recover energy and nutrients. Adsorption-based wastewater purification is a desirable method for removing heavy metals, even at low concentrations. Biochar has received significant attention for controlling water contamination due to its numerous advantages and tunable properties. Studying the link between biochar and resource rehabilitation, as well as its application in wastewater treatment, is crucial.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2022)

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Article Energy & Fuels

Recent advances on improved optical, thermal, and radiative characteristics of plasmonic nanofluids: Academic insights and perspectives

Zafar Said et al.

Summary: This study reviews the application of plasmonic nanofluids in the solar thermal field and their potential role in enhancing the optical properties. It provides an overview of the preparation methods, thermophysical properties, and applications in solar collectors, automotive cooling, and biomedical applications. This work fills the gap in comprehensive reviews of plasmonic nanofluids and aids researchers in keeping up with the latest trends and identifying research gaps in the optical properties of nanofluids for further improving the performance of solar collectors and reducing thermal losses.

SOLAR ENERGY MATERIALS AND SOLAR CELLS (2022)

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Review Chemistry, Physical

Recent advances on the role of nanomaterials for improving the performance of photovoltaic thermal systems: Trends, challenges and prospective

Praveen Kumar Tyagi et al.

Summary: This paper provides a comprehensive review of the use of nanofluids and nano-enhanced phase change materials for thermal energy storage applications in PV/T systems. It emphasizes the impact of nanomaterials on thermophysical properties and highlights the critical selection criteria for phase change materials in TES applications. The paper also discusses the potential future research directions in this field, aiming to enhance the thermal performance of nanomaterial-based PV/T systems.

NANO ENERGY (2022)

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Review Energy & Fuels

Recent advances on the applications of phase change materials for solar collectors, practical limitations, and challenges: A critical review

Abed Mourad et al.

Summary: This review presents recent advancements in integrating PCMs into solar collectors and discusses strategies and improvement approaches to enhance their performance.

JOURNAL OF ENERGY STORAGE (2022)

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Article Green & Sustainable Science & Technology

Energy, exergy, exergoeconomic, and exergoenvironmental analysis of an innovative solar-geothermal-gas driven polygeneration system for combined power, hydrogen, hot water, and freshwater production

M. H. Khoshgoftar Manesh et al.

Summary: In this study, an innovative solar-geothermal-natural gas-driven polygeneration system is proposed, which utilizes various technologies and analyses to produce power, hydrogen, hot water, and freshwater. Through evaluation and analysis, the energy efficiency, exergy efficiency, cost, and environmental impact of the system are determined, and the best organic fluid is identified.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2022)

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Article Thermodynamics

Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends

Ibham Veza et al.

Summary: The recently invented grasshopper optimization algorithm (GOA) was used to optimize the performance and emissions of a diesel engine running on a ternary fuel blend. Regression modeling was used to calculate the mathematical equations between the factors (ethanol ratio, biodiesel ratio, engine load) and the responses (BSFC, BTE, HC, CO2, NOx, CO). The results showed that the grasshopper optimization algorithm successfully maximized BTE and minimized the other responses, indicating its potential for improving engine performance and emissions.

CASE STUDIES IN THERMAL ENGINEERING (2022)

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Article Green & Sustainable Science & Technology

The Effect of Wood Tar and Molasses Composition on Calorific Value and Compressive Strength in Bio-coke Briquetting

Erlina Yustanti et al.

Summary: Biomass-based materials have the potential to replace conventional cokes in steel manufacturing, reducing energy consumption and improving waste management. This study developed a bio-coke using wood tar and molasses as binders, and achieved high calorific value and compressive strength. The results demonstrate that this bio-coke meets certain requirements for the steelmaking industry.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2022)

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Article Energy & Fuels

Precise prediction of performance and emission of a waste derived Biogas-Biodiesel powered Dual-Fuel engine using modern ensemble Boosted regression Tree: A critique to Artificial neural network

Prabhakar Sharma et al.

Summary: This study investigates the use of waste-derived biodiesel and biogas as fuel for a dual-fuel diesel engine. A Boosted Regression Trees (BRT) model is utilized to accurately predict engine performance and emissions parameters, outperforming an ANN model in all statistical metrics.

FUEL (2022)

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Article Green & Sustainable Science & Technology

Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale Organic Rankine Cycle (ORC) using hybrid nanofluid

Zafar Said et al.

Summary: This work examined the thermal performance of a small-scale solar organic Rankine cycle system and successfully predicted the energy efficiency of the solar collector and the energy-exergy efficiency of the ORC system using machine learning algorithms. The experimental results showed significant improvements in thermal and exergy efficiency under specific flow rates and concentrations. The GPR-based models performed exceptionally well, outperforming the BRT-based model in terms of prediction accuracy.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Green & Sustainable Science & Technology

Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms

Huseyin Bakir et al.

Summary: The concentration of greenhouse gases in the atmosphere is rapidly increasing, causing harmful effects on living organisms, the environment, and ecological balance. This study focuses on India, one of the top contributors to global greenhouse gas emissions, and uses various metaheuristic algorithms to forecast the country's future greenhouse gas trajectory. The study collects economic and energy indicators of India from 1990 to 2018 and predicts CO2, CH4, F-gases, N2O, and total greenhouse gas emissions separately by the year 2050. The results suggest that greenhouse gas emissions in India are projected to increase significantly by 2050 compared to current data.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Energy & Fuels

Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm

Yan Cao et al.

Summary: This study utilized machine-learning approaches to simulate the electrical performance of PV/T systems cooled by water-based nanofluids, finding the ANFIS as the most effective method. The optimized condition with 30 lit/hr of water-silica nano-coolant at a radiation intensity of 788.285 W/m(2) maximized electrical efficiency by 27.7%. The ANFIS model successfully predicted a large amount of experimental data and an external database with a low average relative deviation and high R-squared value.

ENERGY REPORTS (2022)

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Article Energy & Fuels

Performance evaluation of adaptive neuro-fuzzy inference system, artificial neural network and response surface methodology in modeling biodiesel synthesis from palm kernel oil by transesterification

E. Betiku et al.

Summary: The modeling capabilities of ANFIS, ANN, and RSM were assessed in the transesterification process, with ANFIS and ANN models showing higher precision and accuracy compared to RSM. By optimizing process input variables, ANFIS-GA achieved the highest PKOB yield.

BIOFUELS-UK (2021)

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Article Thermodynamics

Influence of base fluid, temperature, and concentration on the thermophysical properties of hybrid nanofluids of alumina-ferrofluid: experimental data, modeling through enhanced ANN, ANFIS, and curve fitting

S. O. Giwa et al.

Summary: The study investigated the suspension of hybrid nanoparticles in conventional fluids to improve the thermophysical properties of nanofluids, specifically focusing on the trio influence of volume concentration, base fluid, and temperature on the electrical conductivity and viscosity of hybrid alumina-ferrofluids. The results showed that an increase in volume concentration enhanced the viscosity and electrical conductivity of the hybrid alumina-ferrofluids, while a rise in temperature enhanced their electrical conductivity but detracted the viscosity. Additionally, DW-based hybrid alumina-ferrofluid exhibited lower viscosity and higher electrical conductivity compared to the EG-DW-based counterpart.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Thermodynamics

Thermal conductivity modeling of nanofluids with ZnO particles by using approaches based on artificial neural network and MARS

Akbar Maleki et al.

Summary: Nanofluids with high thermal conductivity are used to improve heat transfer in porous media. In this study, different methods were used to model the thermal conductivity of nanofluids containing ZnO particles, with artificial neural network (ANN) proving to be the most effective.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Thermodynamics

Viscosity, thermal conductivity and density of carbon quantum dots nanofluids: an experimental investigation and development of new correlation function and ANN modeling

A. M. Mirsaeidi et al.

Summary: This study investigates the effects of carbon quantum dots (CQDs) as additives on the thermophysical properties of nanofluids. The presence of CQDs significantly enhances the viscosity and thermal conductivity of nanofluids. Empirical equations and artificial neural network models are developed to accurately predict the properties of nanofluids, showing excellent agreement with experimental data.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Thermodynamics

Applying different types of artificial neural network for modeling thermal conductivity of nanofluids containing silica particles

Akbar Maleki et al.

Summary: In this study, GMDH and multilayer perceptron artificial neural networks were used to determine the thermal conductivity of nanofluids containing silica particles and different base fluids. The models showed good agreement with experimental results, with R2 values reaching up to 0.9998.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Thermodynamics

Thermal-electrical-hydraulic properties of Al2O3-SiO2 hybrid nanofluids for advanced PEM fuel cell thermal management

Saifuddin Khalid et al.

Summary: The study demonstrates that in PEM fuel cell applications, the 10:90 ratio of Al2O3-SiO2 hybrid can achieve optimal performance, with thermal and electrical conductivity decreasing as the percentage of Al2O3 increases, while viscosity performance exhibits the opposite trend. Considering the dominance of thermal properties over viscosity and electrical conductivity, the 10:90 ratio is the most suitable for implementation.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Thermodynamics

A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications

Rashid Pourrajab et al.

Summary: This research accurately predicted the thermal conductivity of hybrid nanofluids using locally weighted linear regression, outperforming other models in terms of prediction accuracy. Sensitivity analysis identified volume fraction, temperature, and nanoparticle size as the most important factors influencing thermal conductivity.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Review Thermodynamics

A review on the properties, preparation, models and stability of hybrid nanofluids to optimize energy consumption

Hamed Eshgarf et al.

Summary: Nanofluids and hybrid nanofluids are new heat transfer media with superior heat transfer characteristics that have gained significant attention. Hybrid nanofluids exhibit more suitable heat transfer performance and thermophysical properties compared to traditional heat transfer fluids and single nanofluids. Current research focuses on investigating the properties, preparation, and stability of hybrid nanofluids.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Review Thermodynamics

An updated review of nanofluids in various heat transfer devices

Eric C. Okonkwo et al.

Summary: Nanofluids have received increasing attention due to their enhanced thermophysical properties and wide range of thermal applications. Recent reviews have highlighted the progress made in 2019 regarding nanofluid preparation and their application in various heat transfer devices, while also discussing the challenges and future prospects of nanofluids as next-generation heat transfer fluids.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Environmental Studies

A framework for 'right to energy' to meet UN SDG7: Policy implications to meet basic human energy needs, eradicate energy poverty, enhance energy justice, and uphold energy democracy

Chian-Woei Shyu

Summary: Access to electricity has improved globally in the past 30 years, but an estimated 831 million people still lack access. The UN SDG7 aims to ensure affordable, reliable, sustainable, and modern energy for all. Some scholars advocate for energy access as a fundamental human right that should be safeguarded by government actions.

ENERGY RESEARCH & SOCIAL SCIENCE (2021)

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Article Chemistry, Physical

Optimizing density, dynamic viscosity, thermal conductivity and specific heat of a hybrid nanofluid obtained experimentally via ANFIS-based model and modern optimization

Zafar Said et al.

Summary: In this study, rGO/Co3O4 nanocomposite was synthesized and optimized using a Marine Predators Algorithm to obtain experimental data on thermophysical properties. The thermal conductivity and viscosity of the nanocomposite nanofluid were found to increase significantly at 60 degrees C with 0.2% particle loading.

JOURNAL OF MOLECULAR LIQUIDS (2021)

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Article Thermodynamics

Forecasting the thermal conductivity of a nanofluid using artificial neural networks

Sara Rostami et al.

Summary: This study evaluated the influence of incorporating MWCNT on the thermal conductivity of paraffin numerically, finding that an ANN with six neurons in the hidden layer had higher accuracy and correlation coefficient compared to other ANN.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Green & Sustainable Science & Technology

Recent trends on nanofluid heat transfer machine learning research applied to renewable energy

Ting Ma et al.

Summary: Nanofluids have been gaining attention in the research and development of renewable and sustainable energy systems, as the addition of solid nanoparticles with high thermal conductivity can enhance heat transfer. However, the complex nature of nanofluids, including nonlinear effects and contradictory results, presents challenges. Machine learning methods show promise in predicting thermophysical properties and evaluating performance in heat transfer research.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

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Article Green & Sustainable Science & Technology

Wind turbine power curve modeling using radial basis function neural networks and tabu search

Despina Karamichailidou et al.

Summary: This study proposes a new method based on artificial neural networks for non-parametric modeling of wind turbines, using radial basis function networks and additional input variables to enhance accuracy; it introduces a new training algorithm based on tabu search technique to further improve modeling accuracy.

RENEWABLE ENERGY (2021)

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Article Energy & Fuels

Optimisation of two-stage biomass gasification for hydrogen production via artificial neural network

Hannah O. Kargbo et al.

Summary: The study developed an artificial neural network model to predict and optimize the gasification process using experimental data, reducing time and costs in development and testing. The model accurately predicts gas composition and yield to achieve high carbon conversion, high hydrogen yield, and low carbon dioxide levels in the output.

APPLIED ENERGY (2021)

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Article Engineering, Chemical

Ionanofluids with [C2mim][CH3SO3] ionic liquid and alumina nanoparticles: An experimental study on viscosity, specific heat and electrical conductivity

Elena Ionela Chereches et al.

Summary: This research experimentally studied the properties of 1-ethyl-3-methylimidazolium methanesulfonate ([C(2)mim][CH3SO3]) ionic liquid and its ionanofluids with Al2O3 nanoparticles of different mass concentrations, showing that viscosity and specific heat increase with nanoparticle concentration while electrical conductivity decreases. These new fluids have the potential to be alternative high temperature heat transfer fluids for solar applications.

CHEMICAL ENGINEERING SCIENCE (2021)

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Article Thermodynamics

Bladeless rotational piezoelectric energy harvester for hydroelectric applications of ultra-low and wide-range flow rates

Bin Bao et al.

Summary: A bladeless rotational piezoelectric energy harvester using a tipping bucket is proposed in this paper, which converts mechanical energy into electric energy through magnetic interaction between a magnetic wheel and a piezoelectric cantilever beam. Experimental results demonstrate that 940 mu J of electrical energy can be stored when the proposed structure charges a 470 mu F capacitor at 1000 mL/min flow rate.

ENERGY CONVERSION AND MANAGEMENT (2021)

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Review Green & Sustainable Science & Technology

A review on the application of hybrid nanofluids for parabolic trough collector: Recent progress and outlook

Arun Kumar Tiwari et al.

Summary: The Parabolic trough collector (PTC) is the most established solar concentration technology worldwide. The study compares various researches to evaluate the effect of nanofluids on thermal parameters for PTC and suggests that using hybrid nanofluids can significantly enhance thermal properties. Metal oxide hybrid nanofluids show more promise in enhancing thermal conductivity compared to oxide ones.

JOURNAL OF CLEANER PRODUCTION (2021)

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Review Chemistry, Physical

Machine learning-based approaches for modeling thermophysical properties of hybrid nanofluids: A comprehensive review

Akbar Maleki et al.

Summary: In recent years, models based on intelligence methods have been introduced to predict the thermophysical properties of hybrid nanofluids, with artificial neural networks considered a very attractive approach for modeling dynamic viscosity and thermal conductivity. Other intelligent methods such as support vector machine and adaptive neuro fuzzy interface system are also applicable for accurate modeling of the rheological properties of hybrid nanofluids. Confidence and accuracy of these models are influenced by factors such as the modeling algorithm used and the input parameters considered.

JOURNAL OF MOLECULAR LIQUIDS (2021)

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Review Energy & Fuels

Review on Application of Nanotechnology for Asphaltene Adsorption, Crude Oil Demulsification, and Produced Water Treatment

Umer Farooq et al.

Summary: Nanotechnology is widely recognized for its significant applications in the oil and gas industry, particularly in the separation of water and oil and purification of produced water. Selective adsorption and magnetic action can improve emulsion separation efficiency.

ENERGY & FUELS (2021)

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Review Chemistry, Applied

Progress on the lignocellulosic biomass pyrolysis for biofuel production toward environmental sustainability

Anh Tuan Hoang et al.

Summary: Biomass plays a critical role in meeting the increasing global energy demand and sustainable energy development goals. The study extensively reviewed the impact of key pyrolysis parameters on the distribution of products from lignocellulosic biomass. Factors such as carbon and hydrogen content, economic assessments, and technical orientations for biofuel production were discussed to optimize current pyrolysis technologies and produce high-quality bio-oil. Further research and awareness of lignocellulosic biomass in pyrolysis technology can lead to the production of sustainable and renewable carbon-neutral fuels.

FUEL PROCESSING TECHNOLOGY (2021)

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Article Engineering, Chemical

A unique thermal conductivity model (ANN) for nanofluid based on experimental study

Ashutosh Pare et al.

Summary: The study utilized artificial neural networks to simulate and predict the effects of nanoparticle concentration and temperature on the thermal conductivity of nanofluids, with the final results showing good agreement with experimental data.

POWDER TECHNOLOGY (2021)

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Article Green & Sustainable Science & Technology

Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison

Umit Agbulut et al.

Summary: The prediction of global solar radiation is essential for solar energy systems and investment policies. This study used four different machine learning algorithms and seven statistical metrics to predict daily solar radiation accurately. The artificial neural network algorithm was found to be the best performer among all models.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

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Review Green & Sustainable Science & Technology

Review of ternary hybrid nanofluid: Synthesis, stability, thermophysical properties, heat transfer applications, and environmental effects

Humphrey Adun et al.

Summary: Research on nanofluids has shown that hybrid nanofluids, particularly ternary nanofluids, significantly improve the thermal conductivity and heat transfer properties of base fluids. The type, size, and ratio of nanoparticles are important factors in determining the effectiveness of ternary nanofluids. Further study is needed to understand the effects of combining different types of nanoparticles, particle sizes, shapes, and base fluids in three-particle nanofluids.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Energy & Fuels

On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach

Mehdi Jamei et al.

Summary: A novel data-driven dynamic model was proposed to predict the specific heat capacity (SHC) of nanofluids, showing superior performance compared to other methods. Sensitivity analysis revealed that the mean diameter of nanoparticles and the SHC of base fluid are major critical factors influencing the SHC of nanofluids.

JOURNAL OF ENERGY STORAGE (2021)

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Review Chemistry, Physical

A critical review of specific heat capacity of hybrid nanofluids for thermal energy applications

Humphrey Adun et al.

Summary: This paper focuses on the specific heat capacity of hybrid nanofluids and presents the synthesis, characteristics, and stability of these fluids. The study shows that volume concentration and temperature are crucial factors influencing the specific heat capacity of hybrid nanofluids.

JOURNAL OF MOLECULAR LIQUIDS (2021)

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Article Thermodynamics

Heat transfer enhancement of modified flat plate heat exchanger

Salman Al Zahrani et al.

Summary: The study aims to improve the thermal performance of flat plate heat exchangers by introducing two newly developed modified versions. Experimental and numerical analyses show that FPHEm2 outperforms its counterparts, reducing pressure drop and enhancing heat transfer rate. This suggests that FPHEm2 could be a viable replacement for traditional flat plate heat exchangers.

APPLIED THERMAL ENGINEERING (2021)

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Review Computer Science, Artificial Intelligence

A systematic review on overfitting control in shallow and deep neural networks

Mohammad Mahdi Bejani et al.

Summary: This paper discusses the differences between shallow and deep neural networks in processing features, as well as the issue of overfitting. It provides a systematic review of overfitting control methods, categorizing them into passive, active, and semi-active subsets. Additionally, it highlights the adjustment of model complexity to data complexity, and the relationship between overfitting control, regularization, network compression, and network simplification.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

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Article Chemistry, Physical

The thermophysical properties and enhanced heat transfer performance of SiC-MWCNTs hybrid nanofluids for car radiator system

Xiaoke Li et al.

Summary: Hybrid nanofluids show promising potential in the field of heat transfer fluids, with studies showing significant enhancement in thermal conductivity and heat transfer performance. The experimentally studied silicon carbide-multiwalled carbon nanotubes hybrid nanofluids as coolants in automobile engine cooling systems exhibited improved thermophysical properties, with increased thermal conductivity as volume concentration increased. The application of SiC-MWCNTs hybrid nanofluids in car radiator systems demonstrates enhanced convective heat transfer coefficient compared to pure ethylene glycol, showcasing their potential benefits in heat transfer applications.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2021)

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Article Energy & Fuels

Application of Response Surface Methodology for Optimization of Fuel Injection Parameters of a Dual Fuel Engine Fuelled with Producer Gas-Biodiesel blends

Prabhakar Sharma et al.

Summary: This study developed a mathematical model to establish a correlation between controllable engine input parameters and their dependent responses. Experimental data showed that the model can predict output responses very close to experimental results.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)

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Article Energy & Fuels

Record decline in global CO2 emissions prompted by COVID-19 pandemic and its implications on future climate change policies

Xuan Phuong Nguyen et al.

Summary: The year 2020 saw the significant impact of the COVID-19 outbreak worldwide, leading to a sharp decline in global CO2 emissions and reduced production and movements among cities and regions. Addressing climate change remains crucial during and after the pandemic, and leveraging COVID-19 recovery plans to advance the climate agenda is seen as a strategic opportunity.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)

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Review Energy & Fuels

Synthesis pathway and combustion mechanism of a sustainable biofuel 2,5-Dimethylfuran: Progress and prospective

Anh Tuan Hoang et al.

Summary: In recent years, 2,5-Dimethylfuran (DMF) has been identified as a promising new biofuel that is synthesized from renewable lignocellulosic biomass. Research has focused on synthesis pathways, decomposition mechanisms, combustion characteristics, and production strategies for commercialization. Further investigations are needed to understand the combustion and emission formation characteristics of using DMF in engines.

FUEL (2021)

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Article Thermodynamics

Heat transfer enhancement investigation in a novel flat plate heat exchanger

Salman Al Zahrani et al.

Summary: This study aims to enhance the thermal performance of the basic plate heat exchanger (FPHE) by proposing a new flow arrangement. Computational fluid dynamics simulations show that the modified FPHE has significantly higher Nusselt number and friction factor compared to the basic FPHE.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2021)

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Review Green & Sustainable Science & Technology

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Tanveer Ahmad et al.

Summary: This study focuses on the use of AI techniques in the energy sector, exploring AI's advantages in solar and hydrogen power generation, supply and demand management control, and recent technological advances. The findings show that AI is becoming a key enabler in enhancing operational performance and efficiency in the energy industry to remain competitive in a cutthroat environment.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Mathematics, Interdisciplinary Applications

Bayesian model selection in the M-open setting - Approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator

Riko Kelter

Summary: This paper introduces a computationally efficient method, PSIS-LOO-CV, for Bayesian model selection in big data. By discussing various model views and methods, and demonstrating with examples, it guides researchers on comparing competing models based on ELPD estimates and conducting posterior predictive checks.

JOURNAL OF MATHEMATICAL PSYCHOLOGY (2021)

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Article Chemistry, Physical

Interfacial molecular layering enhances specific heat of nanofluids: Evidence from molecular dynamics

Ivan Carrillo-Berdugo et al.

Summary: The significant enhancement of specific heat in nanofluids by nanoparticles is mainly attributed to the strong chemisorption interaction of fluid molecules at the nanoparticle surfaces. This insight provides sufficient understanding for nanofluid research and promotes the application of nanofluids in energy conversion and thermal management processes.

JOURNAL OF MOLECULAR LIQUIDS (2021)

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Article Thermodynamics

Modelling the viscosity of carbon-based nanomaterials dispersed in diesel oil: a machine learning approach

Ismail Adewale Olumegbon et al.

Summary: This study developed a machine learning model based on support vector regression to accurately predict the viscosity of different carbon nanomaterials in diesel oil. The model showed excellent predictive performance, with correlation coefficients and root mean square errors exceeding existing models.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Article Green & Sustainable Science & Technology

Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network

Lei Shi et al.

Summary: This study utilizes a neural network model to predict the thermophysical properties of magnetic nanofluids, demonstrating its accuracy compared to previous theoretical models and providing a theoretical basis for heat transfer.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

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Article Green & Sustainable Science & Technology

Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems

Kelvin O. Yoro et al.

Summary: This critical review examines recent advances in modeling and simulation within the energy sector, with insights on approaches, challenges, and prospects, as well as a systematic discussion on model validation in renewable and sustainable energy systems. The review presents several categories of sustainable energy system models that support energy policies, showcasing how energy system modeling is evolving to tackle challenges in design, operation, and control. A comprehensive assessment of current approaches, challenges, and prospects in modeling renewable and sustainable energy systems behavior and performance is provided, along with highlighting areas for further research and development.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

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Review Green & Sustainable Science & Technology

A comprehensive review on the application of nanofluid in heat pipe based on the machine learning: Theory, application and prediction

Xianling Wang et al.

Summary: This paper introduces the key factors influencing the application of nanofluids in heat pipes: viscosity, thermal conductivity, and stability. It reviews the applications of nanofluids in different types of heat pipes and summarizes the mechanisms of heat transfer enhancement or inhibition. The study highlights challenges such as uncertainty in thermal conductivity and viscosity, as well as the need for a standard in machine learning algorithms, and suggests exploring nanoscale mechanisms and expanding databases to address these challenges.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

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Article Green & Sustainable Science & Technology

A parametric analysis of the cooling performance of vertical earth-air heat exchanger in a subtropical climate

S. F. Ahmed et al.

Summary: This study investigates the cooling performance of a vertical Earth-Air Heat Exchanger (EAHE) in a subtropical climate through parametric analysis, exploring the impact of key parameters such as air velocity, pipe diameter, and length. The findings show that pipe diameter, air velocity, and pipe length significantly affect cooling performance, while pipe material has minimal impact. The optimal performance resulted in reducing outlet air temperature by up to 8.21 degrees Celsius.

RENEWABLE ENERGY (2021)

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Review Energy & Fuels

Physical and hybrid modelling techniques for earth-air heat exchangers in reducing building energy consumption: Performance, applications, progress, and challenges

S. F. Ahmed et al.

Summary: This paper reviews the physical and hybrid EAHE modelling techniques used in buildings, highlighting their prospects, benefits, progress, and challenges. The study found that hybrid modelling is more effective than physical models, but requires consideration of operational conditions and key parameters during model development. In terms of generalization capability and training data, physical models have advantages.

SOLAR ENERGY (2021)

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Article Energy & Fuels

Data-driven analysis of molten-salt nanofluids for specific heat enhancement using unsupervised machine learning methodologies

Dipti Ranjan Parida et al.

Summary: This study investigated the relationship between system parameters and specific heat enhancement in molten-salt nanofluids. Machine learning methods revealed the order of influence of different parameters on specific heat enhancement percentage, such as concentration, temperature, and density ratio.

SOLAR ENERGY (2021)

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Article Energy & Fuels

Influence of Nanoparticles and Surfactants on Stability and Rheological Behavior of Polymeric Nanofluids and the Potential Applications in Fracturing Fluids

Wenyue Tang et al.

Summary: Polymeric nanofluids consisting of surfactants, nanoparticles, and polymers were developed to improve the hydraulic performance of fracturing operations in oilfields. These nanofluids showed enhanced viscosity, stability, and resistance to temperature and shear in complex reservoir conditions, while also altering the wettability of reservoir rock to improve fluid distribution and flow.

ENERGY & FUELS (2021)

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Article Thermodynamics

On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective - A comprehensive assessment of data analysis techniques

Mehdi Jamei et al.

Summary: The main aim of this study was to investigate the performance of four robust machine learning methods in predicting the specific heat capacity of metal oxide-based nanofluids for solar energy applications. The results demonstrated that the KELM model outperformed other models significantly, with sensitivity analysis showing the mean nanoparticle diameter and base fluid SHC having the greatest impact on predicting SHC.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2021)

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Review Thermodynamics

A review of stability, thermophysical properties and impact of using nanofluids on the performance of refrigeration systems

Gokhan Yildiz et al.

Summary: The popularity of using nanoparticles in thermal engineering applications, particularly in refrigeration systems, is increasing. Nanofluids show improved thermal properties and system performance, but challenges such as stability and high viscosity need to be addressed for sustained performance improvement.

INTERNATIONAL JOURNAL OF REFRIGERATION (2021)

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Article Chemistry, Physical

Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods

Mehdi Jamei et al.

Summary: The study developed two modern ensemble machine learning models based on 2384 datasets to accurately estimate the specific heat capacity of molten salt-based nanofluids. The models were validated and it was found that the specific heat capacity of the molten salt base fluid is the most significant factor in estimating the specific heat capacity of molten salt-based nanofluids.

JOURNAL OF MOLECULAR LIQUIDS (2021)

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Article Chemistry, Physical

Thermophysical properties using ND/water nanofluids: An experimental study, ANFIS-based model and optimization

Zafar Said et al.

Summary: The study optimized the thermophysical properties of water-based nanodiamond nanofluids using fuzzy logic and the marine predators' algorithm. The results showed significant effects of nanodiamond on the thermal conductivity and viscosity of water fluids under certain conditions, and the best performance parameters were identified after optimization.

JOURNAL OF MOLECULAR LIQUIDS (2021)

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Review Green & Sustainable Science & Technology

A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels

Anh Tuan Hoang et al.

Summary: Research on biodiesel as a potential biofuel strategy, using artificial neural network (ANN) models to predict engine performance and emission characteristics, highly accurate and reliable.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2021)

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Review Green & Sustainable Science & Technology

A critical review on the development and challenges of concentrated solar power technologies

M. Shahabuddin et al.

Summary: Concentrated solar power technology has the advantage of energy storage and overcoming the intermittency of solar power, making it a promising energy option. However, challenges such as high temperature requirements, low efficiency, and non-zero emissions need to be addressed.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2021)

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Review Thermodynamics

Application of ANN technique to predict the thermal conductivity of nanofluids: a review

Chai Meijuan

Summary: This study conducts a thorough analysis of the use of intelligent methods in modeling the thermal conductivity of nanofluids. It is found that artificial neural networks provide more detailed predictions compared to statistical correlations, with accuracy being correlated to factors such as structure, functions, input variables, and algorithms. The trial-and-error process is used to determine the optimal configuration of neural networks, considering all variables influencing the precision of nanofluids.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

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Review Thermodynamics

Recent advances on nanofluids for low to medium temperature solar collectors: energy, exergy, economic analysis and environmental impact

Zafar Said et al.

Summary: The paper summarizes the application of nanofluids in solar thermal systems and focuses on the role of nanofluids in enhancing the performance of solar collectors. It also discusses the various applications of nanofluids in low and medium temperature solar systems.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2021)

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Article Chemistry, Analytical

Proposed ANFIS Based Approach for Fault Tracking, Detection, Clearing and Rearrangement for Photovoltaic System

Ahmed F. Bendary et al.

Summary: In recent decades, photovoltaic systems have made significant contributions to electric power networks. However, one of the main challenges faced is the loss of modules, which can impact system efficiency. To address this issue, a fault detection method using the adaptive neuro-fuzzy inference system is proposed in this study, showing its effectiveness and high performance in practical applications.

SENSORS (2021)

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Article Energy & Fuels

Envisioning the UN Sustainable Development Goals (SDGs) through the lens of energy sustainability (SDG 7) in the post-COVID-19 world

Rajvikram Madurai Elavarasan et al.

Summary: The study aims to guide the post-pandemic era towards sustainable development by prioritizing energy sustainability, with a qualitative analysis focusing on renewable energy transition, digital transformation of the energy sector, and energy affordability in the post-COVID world.

APPLIED ENERGY (2021)

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Article Energy & Fuels

Rotating liquid sheet contactor: A new gas-liquid contactor system in CO2 absorption by nanofluids

Morteza Mehdipour et al.

Summary: The research introduced a rotating liquid sheet (RLS) contactor for CO2 absorption, and found that tube rotation enhances gas-liquid mass transfer while increasing gas flow rate and CO2 concentration decrease capture efficiency. In all experimental conditions, ZnO nanofluids were more effective than SiO2 nanofluids.

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION (2021)

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Article Chemistry, Physical

Efficacy evaluation of oxide-MWCNT water hybrid nanofluids: An experimental and artificial neural network approach

Vikas Kumar et al.

Summary: The temperature-dependent thermophysical properties of different hybrid nanofluids were investigated in this study, with CeO2-MWCNT/water hybrid nanofluid showing the highest efficacy and excellent thermophysical properties. An optimized artificial neural network (ANN) model accurately predicted the properties of hybrid nanofluids across four thermophysical parameters, with an excellent correlation with experimental results.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2021)

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Article Energy & Fuels

Exploring the Exhaust Emission and Efficiency of Algal Biodiesel Powered Compression Ignition Engine: Application of Box-Behnken and Desirability Based Multi-Objective Response Surface Methodology

Prabhakar Sharma et al.

Summary: The Sustainable Development Goals aim to ensure access to clean, affordable, and sustainable energy for everyone. This paper investigates the combustion and emission characteristics of Azolla Pinnata oil biodiesel-diesel blends using multi-objective response surface methodology (MORSM). The study optimizes engine operating parameters to achieve the best performance and lowest emission, validating the experimental methods.

ENERGIES (2021)

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Article Thermodynamics

Implementation of phase change materials for thermal regulation of photovoltaic thermal systems: Comprehensive analysis of design approaches

Sandro Nizetic et al.

Summary: This study investigated various PVT-PCM solar collector designs and analyzed the thermal properties of PCM materials used in these systems. Results showed that PVT-PCM collector design greatly impacts system efficiency, with electrical efficiency improvement usually less than 20% and thermal efficiency improvement up to 70%. Existing literature lacks in addressing the economic and environmental evaluation of PVT-PCM systems, highlighting the need for further research in this area.

ENERGY (2021)

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Review Energy & Fuels

Carbon Nanofibers as Potential Catalyst Support for Fuel Cell Cathodes: A Review

Shaik Gouse Peera et al.

Summary: PEMFCs have potential for transportation applications, but face challenges in cost and durability due to Pt/C catalysts. Recent efforts focus on developing durable carbon supports for improved performance.

ENERGY & FUELS (2021)

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Article Energy & Fuels

Multifractal Analysis and Neural Network Prediction of Pore Structures in Coal Reservoirs Based on NMR T2 Spectra

Yong Sun et al.

Summary: Low-field nuclear magnetic resonance (NMR) is widely used to characterize the pore structure of coal. The T-2 spectra of different coal samples show typical distributions, and the pore structure has correlations with the T-2c values. Multifractal analysis and a BP neural network model can predict the T-2c values accurately. The trained BP neural network model is reliable for predicting T-2c values of similar coal samples.

ENERGY & FUELS (2021)

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Article Thermodynamics

Improving environmental performance of a direct absorption parabolic trough collector by using hybrid nanofluids

Amirarsalan Mashhadian et al.

Summary: The study demonstrates that hybrid nanofluids have better optical properties than mono nanofluids and can enhance the thermal efficiency of direct absorption parabolic trough collectors. By using hybrid nanofluids, significant improvements in reducing CO2 emissions and water consumption are achieved compared to using water as a heat transfer fluid.

ENERGY CONVERSION AND MANAGEMENT (2021)

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Article Economics

Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications

Anh Tuan Hoang et al.

Summary: The COVID-19 pandemic has had significant impacts on various industries worldwide, especially on the energy sector. Developing sustainable resources and renewable energy infrastructure is seen as a promising and effective strategy in response to this challenge. Short-term policy priorities should be identified, while mid-term and long-term action plans should be formulated in achieving a more sustainable energy future.

ENERGY POLICY (2021)

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Article Energy & Fuels

Experimental investigation of solar energy-based water distillation using inclined metal tubes as collector and condenser

Anh Tuan Hoang et al.

Summary: The new model of solar water distiller was experimented with under Thailand climatic conditions to improve productivity by modifying the structure and water flow rate.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)

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Article Energy & Fuels

Mission, challenges, and prospects of renewable energy development in Vietnam

Xuan Phuong Nguyen et al.

Summary: The paper discusses the opportunities, potentials, challenges, and goals of renewable energy development in Vietnam, and proposes policy and economic solutions for the implementation of national energy policy goals set for 2030 and vision to 2045.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)

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Review Chemistry, Multidisciplinary

Data-driven modelling techniques for earth-air heat exchangers to reduce energy consumption in buildings: a review

Shams Forruque Ahmed et al.

Summary: The efficiency of building energy has been improved through modeling earth-air heat exchangers. While models are suitable for real-time activity due to their simple structure, they have poor generalization capacity. Model development is limited by constrained parameters and complex boundary conditions of the heat exchangers.

ENVIRONMENTAL CHEMISTRY LETTERS (2021)

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Article Environmental Sciences

Environmental federalism in EIA policy: A comparative case study of Paran′a, Brazil and California, US

John J. Loomis et al.

Summary: The research focuses on comparing national and subnational EIA systems in Brazil's Paraná and California in the US, revealing different approaches to EIA policy. California has the most institutionally and technically competent EIA system among the studied cases.

ENVIRONMENTAL SCIENCE & POLICY (2021)

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Article Engineering, Electrical & Electronic

AI Ethics for Sustainable Development Goals

Anibal Monasterio Astobiza et al.

IEEE TECHNOLOGY AND SOCIETY MAGAZINE (2021)

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Article Thermodynamics

On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network

Mehdi Jamei et al.

Summary: This study conducted a comprehensive data-intelligence analysis on various types of oil-based hybrid nanofluids using the Extended Kalman Filter-Neural network (EKF-ANN) approach, revealing that this model outperformed other methods in predicting thermal conductivity.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2021)

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Article Thermodynamics

Experimental and numerical investigation on the thermal performance of triple tube heat exchanger equipped with different inserts with WO3/water nanofluid under turbulent condition

Arun Kumar Tiwari et al.

Summary: This study investigated a novel design called Triple Tube Heat Exchanger to enhance overall heat transfer and effectiveness by using WO3/water nanofluid and various inserts. The results demonstrated significant thermal performance improvement with rib-type insert in both experimental and computational fluid dynamics methods.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2021)

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Article Thermodynamics

Experimental study on heat transfer, friction factor, entropy and exergy efficiency analyses of a corrugated plate heat exchanger using Ni/water nanofluids

B. Saleh et al.

Summary: The experimental study on nickel/water nanofluids flow in a corrugated plate heat exchanger shows significant improvements in overall heat transfer performance with increasing nanoparticle loadings and Reynolds numbers, but this enhancement is accompanied by an increase in friction factor and pumping power.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2021)

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Article Green & Sustainable Science & Technology

Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process

Anh Tuan Hoang et al.

Summary: Renewable energy plays a vital role in smart cities by reducing pollution and improving living environment quality. Designing energy systems based on clean and renewable standards is considered a sustainable solution for smart cities.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Engineering, Chemical

Modeling of energy efficiency for a solar still fitted with thermoelectric modules by ANFIS and PSO-enhanced neural network: A nanofluid application

Mehdi Bahiraei et al.

Summary: An accurate model for predicting the energy efficiency of a single-slope solar still equipped with thermoelectric modules is developed using ANFIS and PSO-enhanced ANN. Cu2O nanoparticles are utilized in the basin, and experimental data is used for training the models. PSO-ANFIS model shows superior prediction performance compared to PSO-ANN.

POWDER TECHNOLOGY (2021)

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Article Engineering, Chemical

Experimental studies and ANN predictions on the thermal properties of TiO2-Ag hybrid nanofluids: Consideration of temperature, particle loading, ultrasonication and storage time

Weikai Ji et al.

Summary: The preparation, stability, thermal properties, and prediction of TiO2-Ag hybrid nanofluids were studied in this research. Ultrasonication treatment was found to alleviate the sedimentation of nanofluids, and artificial neural networks were established to effectively predict the thermal properties of nanofluids, saving experiment time and cost.

POWDER TECHNOLOGY (2021)

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Article Engineering, Chemical

An experimental investigation of thermal conductivity and dynamic viscosity of Al2O3-ZnO-Fe3O4 ternary hybrid nanofluid and development of machine learning model

Humphrey Adun et al.

Summary: The study investigates the effects of different mixture ratios and volume concentrations of hybrid nanofluids on their thermal properties, with the best performance found in the 1:1:1 mixture ratio. A machine learning model accurately predicts the thermal conductivity and viscosity, which can be applied to solar thermal systems.

POWDER TECHNOLOGY (2021)

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Review Thermodynamics

Machine learning technology in biodiesel research: A review

Mortaza Aghbashlo et al.

Summary: Biodiesel research utilizes machine learning techniques, such as artificial neural networks, to address complex production and control challenges. ML technology is applied in modeling transesterification processes, physico-chemical characteristics, and internal combustion engine studies. Future research may focus on real-time monitoring and control of biodiesel systems to enhance production efficiency and environmental sustainability.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2021)

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Article Green & Sustainable Science & Technology

Heat transfer growth of sonochemically synthesized novel mixed metal oxide ZnO+Al2O3+TiO2/DW based ternary hybrid nanofluids in a square flow conduit

Waqar Ahmed et al.

Summary: The research demonstrates that novel ZnO + Al2O3+TiO2/DW based ternary composite nanofluids exhibit enhanced thermal conductivity and heat transfer coefficient at different concentrations, making them suitable for nano coolant applications and energy management in industrial settings.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

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Review Chemistry, Physical

Recent advances in using nanofluids in renewable energy systems and the environmental implications of their uptake

Omid Mahian et al.

Summary: Nanofluids, mixtures of common liquids and solid nanoparticles with enhanced thermal and optical properties, have been studied for over two decades despite barriers to commercial adoption. Research has focused on the effects of adding nanoparticles on the thermal efficiency and emission reductions in renewable energy systems, particularly in solar systems.

NANO ENERGY (2021)

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Article Energy & Fuels

Synthesis of Fe3O4-Al2O3-ZnO/water ternary hybrid nanofluid: Investigating the effects of temperature, volume concentration and mixture ratio on Specific heat capacity, and development of Hybrid machine learning for prediction

Humphrey Adun et al.

Summary: In this experimental study, the specific heat capacity of water-based Fe3O4-Al2O3-ZnO nanofluids was investigated. Results showed a linear effect of temperature on specific heat capacity, with an increase in volume concentration leading to a decrease in specific heat capacity. The support vector regression model provided the most accurate prediction of experimental data, with a maximum deviation of 0.2% compared to the experimental results.

JOURNAL OF ENERGY STORAGE (2021)

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Article Energy & Fuels

A modeler's guide to handle complexity in energy systems optimization

Leander Kotzur et al.

Summary: This article discusses how to deal with complexity issues in energy system model design, including how to avoid complexity factors, how to reduce systematic complexity, and provides guidance for energy system modelers to overcome computational limitations.

ADVANCES IN APPLIED ENERGY (2021)

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Review Green & Sustainable Science & Technology

Evaluation of a PV-TEG Hybrid System Configuration for an Improved Energy Output: A Review

Umar Abubakar Saleh et al.

Summary: This study examines the hybrid utilization of solar energy and thermoelectric generators to improve energy efficiency, investigating various integration and experimental methods. It was found that thermoelectric generators effectively compensate for energy losses in solar photovoltaic cells by converting excess heat into electricity.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2021)

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Article Green & Sustainable Science & Technology

Effect of Fluid Flow Direction on Charging of Multitube Thermal Energy Storage for Flat Plate Solar Collectors

Ramalingam Senthil

Summary: The thermal performance of a multitube latent heat storage based on paraffin wax and a flat plate solar collector is studied, with the preferred fluid flow mode for charging from the periphery to the center. During the discharge process, water temperature increased by 40 degrees Celsius in 30 minutes.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2021)

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Article Thermodynamics

Artificial intelligence-based model prediction of biodiesel-fueled engine performance and emission characteristics: A comparative evaluation of gene expression programming and artificial neural network

Prabhakar Sharma

Summary: The study compared the prognostic capability of gene expression programming (GEP) and artificial neural network (ANN) in estimating engine performance and emission characteristics, with slightly better accuracy shown by the ANN model. Experimental data were used to develop predictive models, demonstrating both techniques as efficient machine identification tools.

HEAT TRANSFER (2021)

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Article Energy & Fuels

Modelling the performance and emissions of ethanol-gasoline blend on a gasoline engine using ANFIS

Amit Kumar Thakur et al.

Summary: This study investigates the importance of ANFIS in modeling gasoline engine performance and emissions, finding high accuracy in forecasting engine parameters using different fuels.

INTERNATIONAL JOURNAL OF AMBIENT ENERGY (2021)

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Article Environmental Studies

Taking an environmental ethics perspective to understand what we should expect from EIA in terms of biodiversity protection

Alan Bond et al.

Summary: Environmental Impact Assessment (EIA) has the potential to contribute to biodiversity protection, but is limited by its political context. The paper explores the relationship between different levels of protection and ethical positions, highlighting biodiversity protection as a moral consideration.

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW (2021)

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Article Green & Sustainable Science & Technology

Optimal Investment Strategy for Solar PV Integration in Residential Buildings: A Case Study in The Philippines

Charmaine Samala Guno et al.

Summary: This study analyzes the economic viability of integrating solar photovoltaic (PV) in developing countries, particularly in rural areas. The findings suggest that the optimal investment strategy for low to medium income households is a 10-year installment plan without down payment.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2021)

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Article Thermodynamics

An experimental study on heat transfer and fluid flow of rough plate heat exchanger using Al2O3/water nanofluid

M. Attalla et al.

EXPERIMENTAL HEAT TRANSFER (2020)

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Article Energy & Fuels

Analysis of the performance of an integrated small-scale biomass gasification system in a Canadian context

J. Littlejohns et al.

BIOMASS CONVERSION AND BIOREFINERY (2020)

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Article Thermodynamics

Thermal conductivity prediction of nanofluids containing CuO nanoparticles by using correlation and artificial neural network

Ali Komeilibirjandi et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2020)

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Article Thermodynamics

Predictive modeling of biomass gasification with machine learning-based regression methods

Furkan Elmaz et al.

ENERGY (2020)

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Article Engineering, Aerospace

Radial basis function neural network aided adaptive extended Kalman filter for spacecraft relative navigation

Vincenzo Pesce et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2020)

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Article Mathematics, Applied

Nanofluids as coolant in a shell and tube heat exchanger: ANN modeling and multi-objective optimization

Mohammad Hojjat

APPLIED MATHEMATICS AND COMPUTATION (2020)

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Article Computer Science, Artificial Intelligence

Application of neural network and weighted improved PSO for uncertainty modeling and optimal allocating of renewable energies along with battery energy storage

Amin Masoumi et al.

APPLIED SOFT COMPUTING (2020)

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Article Thermodynamics

Energetic and Exergetic Performances of Plate Heat Exchanger Using Brine-Based Hybrid Nanofluid for Milk Chilling Application

Atul Bhattad et al.

HEAT TRANSFER ENGINEERING (2020)

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Article Thermodynamics

Heat Transfer and Flow Characteristics of Al2O3/Water Nanofluid in Various Heat Exchangers: Experiments on Counter Flow

Dariush Mansoury et al.

HEAT TRANSFER ENGINEERING (2020)

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Article Engineering, Chemical

Performance enhancement of waste heat extraction from generator of a wind turbine for freshwater production via employing various nanofluids

Hadi Rostamzadeh et al.

DESALINATION (2020)

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Article Thermodynamics

Reliable solar irradiance prediction using ensemble learning-based models: A comparative study

Junho Lee et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

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Article Thermodynamics

Numerical simulation of aggregation effect on nanofluids thermal conductivity using the lattice Boltzmann method

Hamed Tahmooressi et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2020)

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Article Thermodynamics

Impact of different surfactants and ultrasonication time on the stability and thermophysical properties of hybrid nanofluids

Hong Wei Xian et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2020)

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Article Physics, Multidisciplinary

Applying artificial neural network and curve fitting method to predict the viscosity of SAE50/MWCNTs-TiO2 hybrid nanolubricant

Zhixiong Chen et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

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Article Physics, Multidisciplinary

Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 - Cu nanoparticles dispersed in ethylene glycol

Yeping Peng et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

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Article Physics, Multidisciplinary

Experimental evaluation and artificial neural network modeling of thermal conductivity of water based nanofluid containing magnetic copper nanoparticles

Mahyar Ghazvini et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

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Article Engineering, Chemical

Stability, thermophysical and electrical properties of synthesized carbon nanofiber and reduced-graphene oxide-based nanofluids and their hybrid along with fuzzy modeling approach

Zafar Said et al.

POWDER TECHNOLOGY (2020)

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Review Green & Sustainable Science & Technology

Clean gaseous fuel application in diesel engine: A sustainable option for rural electrification in India

S. Das et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

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Article Green & Sustainable Science & Technology

Combined heat and power from hydrothermal geothermal resources in Germany: An assessment of the potential

S. Eyerer et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

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Article Green & Sustainable Science & Technology

Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

Junliang Fan et al.

RENEWABLE ENERGY (2020)

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Article Energy & Fuels

Application of support vector regression and artificial neural network for prediction of specific heat capacity of aqueous nanofluids of copper oxide

Ibrahim Olanrewaju Alade et al.

SOLAR ENERGY (2020)

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Article Thermodynamics

Improvement of photo-thermal energy conversion performance of MWCNT/Fe3O4 hybrid nanofluid compared to Fe3O4 nanofluid

Yijie Tong et al.

ENERGY (2020)

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Article Thermodynamics

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

Fei Wang et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

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Review Mechanics

Heat transfer enhancement with nanofluids in plate heat exchangers: A comprehensive review

Naimish S. Pandya et al.

EUROPEAN JOURNAL OF MECHANICS B-FLUIDS (2020)

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Article Green & Sustainable Science & Technology

Sustainable energy development in the major power-generating countries of the European Union: The Pinch Analysis

Weihua Su et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Green & Sustainable Science & Technology

Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation

Ali Etem Gurel et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Engineering, Chemical

A novel comparative experimental study on rheological behavior of mono & hybrid nanofluids concerned graphene and silica nano-powders: Characterization, stability and viscosity measurements

Iman Kazemi et al.

POWDER TECHNOLOGY (2020)

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Review Green & Sustainable Science & Technology

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

R. Ahmed et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

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Review Chemistry, Physical

Application of conventional and hybrid nanofluids in different machining processes: A critical review

Mohammad Hemmat Esfe et al.

ADVANCES IN COLLOID AND INTERFACE SCIENCE (2020)

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Article Automation & Control Systems

Prediction of nanofluids viscosity using random forest (RF) approach

Majid Gholizadeh et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

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Article Engineering, Multidisciplinary

Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

Marcus Stoffel et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)

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Article Energy & Fuels

Graph Neural Networks for Prediction of Fuel Ignition Quality

Artur M. Schweidtmann et al.

ENERGY & FUELS (2020)

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Article Energy & Fuels

Artificial Neural Networks To Distinguish Charcoal from Eucalyptus and Native Forests Based on Their Mineral Components

Fernanda Maria Guedes Ramalho et al.

ENERGY & FUELS (2020)

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Article Energy & Fuels

Predictive correlations for NOx and smoke emission of DI CI engine fuelled with diesel-biodiesel-higher alcohol blends-response surface methodology approach

Saravanan Subramani et al.

FUEL (2020)

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Review Green & Sustainable Science & Technology

An updated review on the properties, fabrication and application of hybrid-nanofluids along with their environmental effects

Liu Yang et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Chemistry, Physical

Rheological behavior of hybrid MWCNTs-TiO2/EG nanofluid: A comprehensive modeling and experimental study

Shu-Rong Yan et al.

JOURNAL OF MOLECULAR LIQUIDS (2020)

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Article Chemistry, Physical

An experimental study on characterization, stability and dynamic viscosity of CuO-TiO2/water hybrid nanofluid

Amin Asadi et al.

JOURNAL OF MOLECULAR LIQUIDS (2020)

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Article Chemistry, Physical

Viscosity and isobaric specific heat capacity of alumina nanoparticle enhanced ionic liquids: An experimental approach

Elena Ionela Chereches et al.

JOURNAL OF MOLECULAR LIQUIDS (2020)

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Review Energy & Fuels

Internal combustion engines powered by syngas: A review

M. Fiore et al.

APPLIED ENERGY (2020)

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Article Mathematics, Interdisciplinary Applications

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

Yaohao Peng et al.

CHAOS SOLITONS & FRACTALS (2020)

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Article Engineering, Chemical

Nanoparticles migration due to thermophoresis and Brownian motion and its impact on Ag-MgO/Water hybrid nanofluid natural convection

Sahar Goudarzi et al.

POWDER TECHNOLOGY (2020)

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Article Engineering, Chemical

Synergistic mechanism of thermal conductivity enhancement and economic analysis of hybrid nanofluids

Mingyan Ma et al.

POWDER TECHNOLOGY (2020)

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Article Energy & Fuels

Refining Fuel Composition of RP-3 Chemical Surrogate Models by Reactive Molecular Dynamics and Machine Learning

Song Han et al.

ENERGY & FUELS (2020)

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Article Thermodynamics

Data analysis of a monitored building using machine learning and optimization of integrated photovoltaic panel, battery and electric vehicles in a Central European climatic condition

Hassam Ur Rehman et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

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Article Energy & Fuels

Gene expression programming-based model prediction of performance and emission characteristics of a diesel engine fueled with linseed oil biodiesel/diesel blends: An artificial intelligence approach

Prabhakar Sharma

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2020)

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Article Energy & Fuels

Comparative study of the fuel quality and torrefaction performance of biomass and its molded pellets: effects of temperature and residence time

Kehui Cen et al.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2020)

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Article Thermodynamics

Performance analysis of a plate heat exchanger using various nanofluids

Dan Zheng et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2020)

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Review Green & Sustainable Science & Technology

Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

Ioannis Antonopoulos et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

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Review Energy & Fuels

Nanofluids as solar spectrum splitters: A critical review

Muhammad Usman Sajid et al.

SOLAR ENERGY (2020)

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Article Chemistry, Multidisciplinary

Comparative Analysis of Machine Learning Models for Nanofluids Viscosity Assessment

Mohammadhadi Shateri et al.

NANOMATERIALS (2020)

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Review Radiology, Nuclear Medicine & Medical Imaging

A primer for understanding radiology articles about machine learning and deep learning

Takeshi Nakaura et al.

DIAGNOSTIC AND INTERVENTIONAL IMAGING (2020)

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Article Chemistry, Physical

Understanding the Specific Heat Enhancement in Metal-Containing Nanofluids for Thermal Energy Storage: Experimental and Ab Initio Evidence for a Strong Interfacial Layering Effect

Ivan Carrillo-Berdugo et al.

ACS APPLIED ENERGY MATERIALS (2020)

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Article Thermodynamics

Artificial neural network integrated with thermodynamic equilibrium modeling of downdraft biomass gasification-power production plant

Sahar Safarian et al.

ENERGY (2020)

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Article Thermodynamics

A neural network-based predictive model for the thermal conductivity of hybrid nanofluids

Humphrey Adun et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2020)

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Article Engineering, Marine

Systematic complexity reduction of wave-to-wire models for wave energy system design

Markel Penalba et al.

OCEAN ENGINEERING (2020)

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Review Energy & Fuels

Application of machine learning tools for energy efficiency in industry: A review

Diogo A. C. Narciso et al.

ENERGY REPORTS (2020)

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Review Green & Sustainable Science & Technology

Machine learning applications in urban building energy performance forecasting: A systematic review

Soheil Fathi et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

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Article Green & Sustainable Science & Technology

Optimization of PV/T Solar Water Collector based on Fuzzy Logic Control

Omer K. Ahmed et al.

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED (2020)

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Review Computer Science, Artificial Intelligence

Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

Dervis Karaboga et al.

ARTIFICIAL INTELLIGENCE REVIEW (2019)

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Article Thermodynamics

Presentation of new thermal conductivity expression for Al2O3-water and CuO-water nanofluids using gene expression programming (GEP)

Saber Yekani Motlagh et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2019)

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Article Thermodynamics

Localized solar heating via graphene oxide nanofluid for direct steam generation

Mohammad Mustafa Ghafurian et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2019)

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Review Green & Sustainable Science & Technology

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

Muhammad Naveed Akhter et al.

IET RENEWABLE POWER GENERATION (2019)

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Article Thermodynamics

A novel comprehensive experimental study concerned synthesizes and prepare liquid paraffin-Fe3O4 mixture to develop models for both thermal conductivity & viscosity: A new approach of GMDH type of neural network

Amin Shahsavar et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2019)

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Article Engineering, Civil

Spatiotemporal Traffic Flow Prediction with KNN and LSTM

Xianglong Luo et al.

JOURNAL OF ADVANCED TRANSPORTATION (2019)

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Article Chemistry, Physical

Synthesizes, characterization, measurements and modeling thermal conductivity and viscosity of graphene quantum dots nanofluids

F. Sedaghat et al.

JOURNAL OF MOLECULAR LIQUIDS (2019)

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Review Green & Sustainable Science & Technology

A review of heat transfer enhancement techniques in plate heat exchangers

Ji Zhang et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

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Article Chemistry, Multidisciplinary

Experimental Convection Heat Transfer Analysis of a Nano-Enhanced Industrial Coolant

Eva Alvarez-Regueiro et al.

NANOMATERIALS (2019)

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Review Energy & Fuels

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

Amir Mosavi et al.

ENERGIES (2019)

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Article Chemistry, Physical

A soft computing approach for estimating the specific heat capacity of molten salt-based nanofluids

Muhammed A. Hassan et al.

JOURNAL OF MOLECULAR LIQUIDS (2019)

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Article Chemistry, Physical

Nanofluid viscosity modeling based on the friction theory

Roghayeh Bardool et al.

JOURNAL OF MOLECULAR LIQUIDS (2019)

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Article Engineering, Chemical

Fuzzy modeling and optimization for experimental thermophysical properties of water and ethylene glycol mixture for Al2O3 and TiO2 based nanofluids

Zafar Said et al.

POWDER TECHNOLOGY (2019)

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Article Green & Sustainable Science & Technology

Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges

Inkyu Lee et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

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Article Chemistry, Inorganic & Nuclear

Synthesis, preparation and the experimental study of silver/water nanofluid to optimize convective heat transfer in a shell and tube heat exchanger

Shima Nazarzade et al.

INORGANIC AND NANO-METAL CHEMISTRY (2019)

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Review Green & Sustainable Science & Technology

An overview of world geothermal power generation and a case study on China-The resource and market perspective

Liangyu Xia et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

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Article Energy & Fuels

Prognostication of lignocellulosic biomass pyrolysis behavior using ANFIS model tuned by PSO algorithm

Mortaza Aghbashlo et al.

FUEL (2019)

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Article Physics, Multidisciplinary

Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles

Davood Toghraie et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)

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Review Green & Sustainable Science & Technology

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Efficiency of geothermal power plants: A worldwide review

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Application of the FCM-based neuro-fuzzy inference system and genetic algorithm-polynomial neural network approaches to modelling the thermal conductivity of alumina-water nanofluids

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Experimental study of forced convective heat transfer of nanofluids in a microchannel

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Effect of alumina nanoparticles in the fluid on heat transfer in double-pipe heat exchanger system

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Correlating heat transfer and friction in helically-finned tubes using artificial neural networks

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Heat transfer analysis for shell-and-tube heat exchangers with experimental data by artificial neural networks approach

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Prediction of Heat Transfer Rates for Shell-and-Tube Heat Exchangers by Artificial Neural Networks Approach

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Optimum design of plate heat exchanger with staggered pin arrays

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