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
Mariusz Trela et al.
Summary: This paper explores the impact of changes in renewable energy financing on the profitability of photovoltaic panels and heat pump systems in Poland. The study finds that the profitability of photovoltaic panels is dependent on their financing method. Sensitivity analysis is also conducted to examine the influence of key parameters on investment profitability.
Article
Energy & Fuels
Andrzej Pacana et al.
Summary: The purpose of this study was to develop a model to predict the quality of photovoltaic panels based on customer expectations. Different analysis methods were used to select key criteria for PV and calculate the best photovoltaic panel. The uniqueness of this model lies in the integration of different techniques to maximize customer satisfaction.
Article
Energy & Fuels
Aditya Pandey et al.
Summary: This review provides comprehensive information on solar energy development and the impact of COVID-19 in India. It covers various aspects such as solar technologies, PV system structures, and the importance of solar waste recycling. It also discusses the prospects and growth potential of solar energy, highlighting the role it will play in the future.
Article
Energy & Fuels
Witold Chmielarz et al.
Summary: The article tested the authors' proprietary method of evaluating e-banking services supporting sustainable development goals and compared it with traditional methods in a study conducted in Poland. Results showed significant differences between the conversion method and other methods, indicating a potential need for improvement in the conversion method.
Article
Energy & Fuels
Sainadh Singh Kshatri et al.
Summary: Recent trends in the PV technology industry are moving towards utilizing bifacial PV panels, which can yield energy from both sides. However, the use of bifacial PV panels can negatively impact the reliability of PV inverters, especially in areas with high mission profiles.
Article
Automation & Control Systems
Kailong Liu et al.
Summary: This study proposes a transferred RNN-based framework for efficient calendar capacity prognostics in battery-based energy storage systems. Experimental results show that the framework can accurately predict battery capacity health and help reduce the burden of battery aging experiments for engineers.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Environmental Sciences
Salvador Garcia-Ayllon et al.
Summary: Sustainable Urban Mobility Plans (SUMP) are popular planning tools for reducing urban transport pollution. This study reviews the SUMP of 47 cities in Spain over the past 15 years, analyzing the diagnosis, proposal, and implementation. A new framework based on a hybrid methodology is proposed to aid decision-making in SUMP implementation.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Energy & Fuels
Kailong Liu et al.
Summary: This paper proposes a machine learning solution based on migrated Gaussian process regression for predicting future battery ageing trajectory, and verifies its effectiveness through experimental data.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Automation & Control Systems
Kailong Liu et al.
Summary: This article examines the effects of component parameters on the manufactured results of Li-ion battery electrode and proposes an effective RUBoost-based ensemble learning framework to address class imbalance issues and accurately classify key quality indicators. The proposed models are able to handle class imbalance issues, predict electrode qualities accurately, and quantify the importance weights of variables and correlations of variable pairs effectively. The ensemble learning approach is superior in accuracy, interpretability, and data-driven nature, benefiting reliable multiclassification of manufactured electrodes and smarter battery manufacturing.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Kailong Liu et al.
Summary: This study examines the impact of component parameters on the manufacturing results of Li-ion battery electrodes through classification modeling and proposes an ensemble learning framework to handle class imbalance issues, effectively predicting the qualities of the manufactured electrodes.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Energy & Fuels
Francisco J. Aguilar et al.
Summary: Solar-powered air conditioners have the potential for energy-efficient cooling and economic feasibility, reducing energy consumption in buildings significantly. A computational model has been developed to simulate the behavior of a photovoltaic-assisted heat pump and optimize a solar on-grid system. The analysis shows that the solar on-grid system has lower annualized costs and CO2 emissions compared to conventional systems.
Article
Energy & Fuels
Jacek Kusznier et al.
Summary: The effective operation of photovoltaic systems depends on continuous monitoring of various factors and parameters, making it difficult to predict radiation levels accurately. IoT systems can assist in controlling and managing energy flow in photovoltaic power plants and the power grid. Implementing a comprehensive maintenance system can provide valuable information regarding PV plant installations.
Article
Energy & Fuels
Tito G. Amaral et al.
Summary: Photovoltaic power plants use trackers to maximize efficiency, but these mobile structures are prone to faults that can affect the ideal position of PV modules. A new method based on machine learning and image processing algorithms allows for unsupervised fault diagnosis by comparing slopes of multiple modules. This approach offers benefits such as fast detection, reliability even with incomplete images, and avoids the need for extensive data and specific sensors.
Article
Physics, Multidisciplinary
Shouta Sugahara et al.
Summary: Previous research has shown that the classification accuracies of Bayesian networks obtained by maximizing the conditional log likelihood were higher than those obtained by maximizing the marginal likelihood. However, in cases with small sample sizes and a class variable with multiple parents, the accuracies of exact learning with ML were significantly lower. Introducing an exact learning augmented naive Bayes classifier improved the situation and guaranteed similar class posterior estimation as exact learning Bayesian networks.
Article
Automation & Control Systems
Kailong Liu et al.
Summary: This article proposes a random forest-based classification framework to analyze feature variables and achieve reliable classification in lithium-ion battery manufacturing, quantifying feature importance and correlations. By studying data from different stages, the framework investigates the effects on electrode properties and provides a promising solution for reducing model dimension and conducting efficient sensitivity analysis of battery manufacturing.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Green & Sustainable Science & Technology
Mona Faraji Niri et al.
Summary: Data-driven models are essential for optimizing the manufacturing process of Li-ion electrodes, with machine-learning approaches being used to predict battery performance. By studying the interdependencies between manufacturing parameters, structural features, and electrical performance characteristics, this research aims to enhance the predictability of electrode properties and cell characteristics with minimal errors. The ultimate goal is to support the clean and efficient production of high-quality Li-ion batteries on a larger scale.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Khlid Ben Hamad et al.
Summary: With the global increase in energy demand and concerns over global warming, there is a growing interest in clean and sustainable energy resources. Fuel cells, along with other power technologies such as photovoltaic panels and wind turbines, are being employed as alternative sources of energy. In this study, a centralized, single-stage grid-tied three-level diode clamped inverter interfacing a multi-stack fuel cell system is modeled, aiming for harmonic distortions of less than 0.5% and an efficiency of 85%. Through two case studies, the system's performance is assessed, showing good results with low harmonic distortions and compliance with grid requirements.
Article
Energy & Fuels
George Stamatellos et al.
Summary: The combination of air source heat pump systems and photovoltaic panels can reduce building energy costs, move towards zero energy building concept, and support the energy transition in Greece. Standard building energy simulation tools can optimize system design and improve return on investment.
Article
Energy & Fuels
Idris Al Siyabi et al.
Summary: The study analyzed the effect of soiling and PV tilt angle on the performance of a 2.0 MWp car park PV plant in Oman, finding that soiling led to a gradual decrease in power generation. Additionally, increasing the tilt of the PV panels was not recommended due to the potential shading effects caused by the duo-pitch canopy of the car park.
Review
Environmental Sciences
Muhammad Tawalbeh et al.
Summary: Photovoltaic systems are considered clean and sustainable energy sources, but their manufacturing and disposal processes may have negative environmental impacts. By optimizing design, developing new materials, reducing hazardous material use, recycling, and careful site selection, these impacts can be mitigated. Emissions from PV systems are significantly lower than those from fossil fuel energy resources, and further reduction can be achieved through novel manufacturing materials and recycling efforts.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Chemistry, Physical
Andrzej Pacana et al.
Summary: This study aimed to develop a universal model for improving product quality by consistently and repetitively determining the causes of product incompatibility and actions leading to their elimination. Various quality management tools such as brainstorming, Ishikawa diagram, and 5Why method were used to identify the main causes of incompatibility and determine improvement actions. The model has the potential to be applied in analyzing product quality issues in any enterprise.
Article
Green & Sustainable Science & Technology
Nam Hoai Tran et al.
Summary: This study aims to develop transportation livability-related indicators (TLIs) for Taiwan's urban road system and identify critical barriers to TLI application. Two approaches, top-down and bottom-up, were integrated to derive four TLIs and 21 corresponding requirements, and to investigate nine potential barriers to indicator adoption.
Article
Green & Sustainable Science & Technology
Arsalan Ahmed Othman et al.
Summary: The study evaluates the performance of different Multi-Criteria Decision-Analysis (MCDA) approaches using remote sensing and Geographic Information System (GIS) data for identifying suitable landfill sites. Various methodologies were compared and the AHP approach was found to be the most accurate in identifying suitable sites for Municipal Solid Waste (MSW) landfill in the Tanjero River Basin. The study highlights the usefulness of the approach for selecting landfill sites in similar environments.
Article
Energy & Fuels
Nuria Sanchez-Pantoja et al.
Summary: The social acceptance and aesthetic impact of renewable energy in cities are often overlooked in the literature. European projects focusing on RE and energy storage in urban environments show a minimal concern for aesthetics and social perception. The most commonly used renewable energy is solar power, particularly photovoltaic, with lithium batteries being the preferred choice for energy storage.
Article
Energy & Fuels
Robert Ulewicz et al.
Summary: It is essential to assess the advantages and disadvantages of renewable energy sources for industrial use in order to make rational decisions. There is a lack of defined criteria in the literature for selecting renewable energy for industries. Supporting industrial development based on renewable energy is necessary to reduce negative environmental impacts.
Article
Green & Sustainable Science & Technology
Dominika Siwiec et al.
Summary: The key to organizational success is the development of customer-oriented products and the adoption of sustainable development rules. This study developed a method to predict product quality levels based on current customer expectations.
Article
Energy & Fuels
Claude Ziad El-Bayeh et al.
Summary: This paper proposes an original multi-criteria decision-making optimization algorithm RWR, compared to TOPSIS for validation. The results show RWR algorithm is faster and more accurate in finding the best solution. Additionally, the renewable energy-based EVPL designed in this study shows high self-sufficiency ratio and reduced energy losses on the network.
Article
Energy & Fuels
Gabriel Lopez et al.
Summary: Atmospheric factors like clouds, wind, dust, and aerosols play a crucial role in the power generation of photovoltaic plants, and soiling has been identified as a significant factor affecting PV yield, especially in arid zones or deserts. This study introduces a low-cost multiplexer design controlled by an Arduino microcontroller for monitoring the soiling effect on PV panels efficiently.
Article
Energy & Fuels
Ali Shaito et al.
Summary: This paper investigates the effectiveness of using Phase Change Materials (PCMs) in cooling PV modules and compares four types of PCM with different properties. Experimental results show the significant impact of PCMs' properties on PV temperature and power generation.
Article
Energy & Fuels
Guglielmina Mutani et al.
Summary: Research has shown that using roof-integrated photovoltaic technologies with different orientations on buildings can increase self-sufficiency, lower energy costs, and improve energy security. Both south-facing and north-facing roof surfaces can be utilized for solar energy production to provide economic and energy benefits.
Article
Energy & Fuels
Dominika Siwiec et al.
Summary: Photovoltaic electricity generation is key to achieving deep decarbonization with a high degree of electrification. This study proposes a model for choosing photovoltaic panels based on customer expectations, which supports the selection of a specific quality panel in combination with its purchase cost. The model utilizes standardized methods and weighted sum models to provide customers with the most satisfactory photovoltaic panel.
Article
Energy & Fuels
Alvaro Quiles Garcia et al.
Summary: This research introduces biomass energy as a solution to reduce fossil fuel dependency and improve solid waste management. It focuses on the feasibility of a distributed generation system combining waste superheated steam gasification and photovoltaic panels, analyzing the economic, environmental, and energetic viability. The study concludes that such a system is perfectly feasible and profitable for long-term performance.
Article
Engineering, Electrical & Electronic
Hong Chen et al.
Summary: A improved naive Bayesian classification algorithm is proposed in this paper, which is optimized through feature weighting and Laplace calibration, with higher accuracy and able to improve the correctness rate of discrimination analysis.
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
(2021)
Article
Green & Sustainable Science & Technology
Dominika Siwiec et al.
Summary: The study aimed to develop a model that supports decision-making in product development, considering sustainability factors. The model includes key product criteria, current and future criteria states, and their positive correlations. Multiplicative decision methods with the fuzzy Saaty scale were used to reduce the fuzzy decision-making environment.
Article
Energy & Fuels
D. P. N. Nguyen et al.
Article
Energy & Fuels
Ana Cristina Ferreira et al.
Article
Energy & Fuels
Dorian Esteban Guzman Razo et al.
Article
Energy & Fuels
Mehmet Ali Yildirim et al.
Article
Energy & Fuels
Ramez Abdallah et al.
Article
Energy & Fuels
Yongshi Jie et al.
Article
Engineering, Industrial
Grzegorz Ostasz et al.
MANAGEMENT SYSTEMS IN PRODUCTION ENGINEERING
(2020)
Article
Computer Science, Information Systems
Emon Chatterji et al.
Article
Energy & Fuels
Alonso Gutierrez Galeano et al.
Review
Green & Sustainable Science & Technology
Nuria Sanchez-Pantoja et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2018)
Article
Management
Mahima Gupta et al.
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT
(2018)
Review
Energy & Fuels
Seyed Abbas Mousavi Maleki et al.
Article
Chemistry, Multidisciplinary
Andrzej Pacana et al.
PRZEMYSL CHEMICZNY
(2016)
Proceedings Paper
Engineering, Industrial
Konstantinos Stylidis et al.
26TH CIRP DESIGN CONFERENCE
(2016)
Article
Engineering, Multidisciplinary
Sanyang Liu et al.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2013)
Proceedings Paper
Construction & Building Technology
Maria Wall et al.
1ST INTERNATIONAL CONFERENCE ON SOLAR HEATING AND COOLING FOR BUILDINGS AND INDUSTRY (SHC 2012)
(2012)
Article
Psychology, Experimental
Nicholas W. Kohn et al.
APPLIED COGNITIVE PSYCHOLOGY
(2011)
Proceedings Paper
Automation & Control Systems
Wei Zhang et al.
Article
Management
Felix T. S. Chan et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2007)
Article
Engineering, Industrial
Ling Wang et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2007)
