4.5 Article

Optimization of performance and emission characteristics of CI engine fueled with waste safflower oil biodiesel and its blends

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Energy & Fuels

Predictive Modelling and Optimization of Performance and Emissions of Acetylene Fuelled CI Engine Using ANN and RSM

Gavaskar Thodda et al.

Summary: This study focused on analyzing the performance and exhaust emissions of a single-cylinder CI engine operating with acetylene and diesel on dual fuel mode using ANN model and RSM optimization tool. The experiments showed that the optimum operating conditions were a high flow rate of acetylene injection, higher injection pressure, a specific compression ratio, and injection timing. The developed ANN model was able to accurately predict the output parameters with low error range and high accuracy.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2023)

Article Thermodynamics

Performance optimization through response surface methodology of an integrated coal gasification and CI engine fuelled with diesel and low-grade coal-based producer gas

Deepak Kumar Singh et al.

Summary: The study aims to determine the optimal operating condition of dual fuel engines for improved performance and reduced emissions. Through response surface methodology, the optimal values of gasifier equivalence ratio, compression ratio, and engine load were optimized.

ENERGY (2022)

Article Thermodynamics

Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine

Suleyman Simsek et al.

Summary: This study aimed to determine the optimal ratio of animal waste fat biodiesel and corresponding engine responses using artificial neural networks (ANN) and response surface methodology (RSM). Results showed that both ANN and RSM had high accuracy in predicting engine responses, with R values above 0.97 for ANN and R-2 values above 0.95 for RSM. The developed ANN model had a mean absolute percentage error (MAPE) ranging from 3.787% to 10.730%, while RSM had a MAPE ranging from 2.004% to 11.461%. Overall, the study found good agreement between the optimal results and the predicted results, with a maximum error rate of 3.863%.

ENERGY (2022)

Article Agricultural Engineering

Process modelling and thermodynamic performance optimization of biomass air gasification fuelled with waste poultry litter pellet by integrating Aspen plus with RSM

J. V. Tirkey et al.

Summary: This study investigates the processing of waste poultry litter pellet biomass for the generation of enriched hydrogen syngas using biomass gasifier. Model validation and sensitivity analysis were performed, and multi-objectives optimization of gasification parameters was carried out using RSM. The results show good agreement and optimized values of key parameters.

BIOMASS & BIOENERGY (2022)

Article Environmental Sciences

Valorisation of hazardous medical waste using steam injected plasma gasifier: a parametric study on the modelling and multi-objective optimisation by integrating Aspen plus with RSM

Deepak Kumar Singh et al.

Summary: The study highlights the importance of using gasification technology to process medical waste for environmental and sustainable development benefits. Through simulation and experimental validation, optimization of gasification parameters can lead to higher quality and efficiency of hydrogen syngas production.

ENVIRONMENTAL TECHNOLOGY (2022)

Article Thermodynamics

Performance and emission analysis of triple fuelled CI engine utilizing producer gas, biodiesel and diesel: An optimization study using response surface methodology

Deepak Kumar Singh et al.

Summary: This study focuses on the gasification of waste Madhuca longifolia biomass and the use of a triple fuel CI engine. By optimizing the input parameters using response surface methodology (RSM), the study found the best combination of operating variables for optimal performance. The results provide valuable insights for integrated gasification and triple-fuelled mode CI engines.

THERMAL SCIENCE AND ENGINEERING PROGRESS (2022)

Article Chemistry, Physical

Modeling and multi-objective optimization of variable air gasification performance parameters using Syzygium cumini biomass by integrating ASPEN Plus with Response surface methodology (RSM)

Deepak Kumar Singh et al.

Summary: This study developed a robust method for modeling and optimizing variable air gasification parameters using ASPEN Plus simulator and Response Surface Methodology (RSM). A comprehensive thermochemical equilibrium-based model of downdraft gasifier was developed by minimizing Gibbs free energy, and good agreement was attained between simulated and experimental results. The air gasification process was modeled in four phases, including biomass drying, decomposition, gasification, and gas filtration, with sensitivity analysis performed to obtain syngas composition and optimize gasification performance.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2021)

Article Energy & Fuels

Performance and emission optimization of CI engine fueled with coconut shell-based producer gas and diesel by using response surface methodology

Jeewan Vachan Tirkey et al.

Summary: The generation of producer gas or syngas from biomass gasification is a promising alternative to traditional fossil fuels. Experimental studies have shown that optimizing engine operating parameters using the response surface method can improve performance and reduce exhaust emissions, with predictions closely matching experimental results.

BIOMASS CONVERSION AND BIOREFINERY (2021)

Article Energy & Fuels

Optimization of biodiesel yield and diesel engine performance from waste cooking oil by response surface method (RSM)

Ceyla Ozgur

Summary: This study aimed to optimize the biodiesel production process and investigate the effects of biodiesel-diesel fuel blends on engine performance and exhaust emissions using response surface methodology. Transesterification method was used for biodiesel production, with four key process parameters identified. Optimization was achieved using Box-Behnken design, leading to an optimal biodiesel yield. Engine operating parameters were optimized through central composite design, resulting in improved power, torque, smoke opacity, CO, and NOx emissions under specific conditions.

PETROLEUM SCIENCE AND TECHNOLOGY (2021)

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)

Article Energy & Fuels

Simulation-based investigation of producer gas and propane blended SI engine for power generation application

J. Tirkey

Summary: The study shows that when using a blend of producer gas and propane as fuel, the optimal performance and emissions are achieved when the proportion of producer gas in the propane mixture is at 50%, and at equivalence ratios ranging from 0.9 to 1.1.

INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY (2021)

Review Green & Sustainable Science & Technology

The production of biodiesel from safflower (Carthamus tinctorius L.) oil as a potential feedstock and its usage in compression ignition engine: A comprehensive review

Murat Kadir Yesilyurt et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

Article Green & Sustainable Science & Technology

Prediction and estimation of biomass energy from agricultural residues using air gasification technology in Iran

Seyed Hashem Samadi et al.

RENEWABLE ENERGY (2020)

Article Environmental Sciences

Engine parameter optimization of palm oil biodiesel as alternate fuel in CI engine

Akula Naresh Kumar et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2019)

Article Thermodynamics

Comparison of jatropha and karanja biofuels on their combustion characteristics

B. Deepanraj et al.

INTERNATIONAL JOURNAL OF GREEN ENERGY (2017)

Review Food Science & Technology

A comprehensive characterisation of safflower oil for its potential applications as a bioactive food ingredient - A review

Nauman Khalid et al.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2017)

Article Chemistry, Applied

Biodiesel from safflower oil and its application in a diesel engine

Cumali Ilkilic et al.

FUEL PROCESSING TECHNOLOGY (2011)

Article Thermodynamics

Renewable energy in India: Historical developments and prospects

S. C. Bhattacharya et al.

ENERGY (2009)

Article Thermodynamics

Sustainable bioenergy for India: Technical, economic and policy analysis

N. H. Ravindranath et al.

ENERGY (2009)

Article Energy & Fuels

Evidence of PAH production under lean combustion conditions

Nadir Yilmaz et al.

Article Green & Sustainable Science & Technology

Performance and emission evaluation of a diesel engine fueled with methyl esters of rubber seed oil

AS Ramadhas et al.

RENEWABLE ENERGY (2005)

Article Green & Sustainable Science & Technology

Properties and use of jatropha curcas oil and diesel fuel blends in compression ignition engine

K Pramanik

RENEWABLE ENERGY (2003)