{"title":"Thermal barrier performance of natural fiber-reinforced biocomposite panels with the reflective surface for conserving heat energy in buildings","authors":"M A Rahman Bhuiyan, M Ashnaim Bari, M Abu Darda","doi":"10.1016/j.ecmx.2025.100926","DOIUrl":"10.1016/j.ecmx.2025.100926","url":null,"abstract":"<div><div>This study investigates the thermal barrier properties of fiber-reinforced composites with heat reflective surfaces for building applications. Biocomposites made of natural cotton fiber with white and four distinct colors, such as red, yellow, blue, and black, were developed employing a compression molding technique. Among the studied composites, the white cotton composite owing to reflective surface has the lowest thermal conductivity of 0.0687 W/m·K, which was the maximum for its black counterpart with the value of 0.0823 W/m·K. The white composite, in contrast, exhibited higher conductive heat resistance (0.0582 m<sup>2</sup>·K/W) than the black ones (0.04862 m<sup>2</sup>·K/W). The evaluation of the radiative heat resistance using an incandescent lamp and sunlight showed the superior resistance of white composite to radiant heat transfer due to its high reflectance of electromagnetic radiation, making it an effective reflector and heat insulator material for thermal energy conservation. Additionally, the thermogravimetric analysis revealed adequate thermal stability with a similar trend in the degradation pattern of composites at elevated temperatures, confirming a negligible impact of color on thermal stability. The overall outcomes of this study suggest fiber-reinforced composites with reflective (white) surfaces can considerably resist the transfer of conductive and radiative heat than colored cotton materials and, therefore, can be employed as better heat-insulating panels in buildings for lowering thermal loads to maintain favorable indoor temperature.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100926"},"PeriodicalIF":7.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Faizan Tahir , Anthony Tzes , Tarek H.M. El-Fouly , Mohamed Shawky El Moursi , Nauman Ali Larik
{"title":"Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms","authors":"Muhammad Faizan Tahir , Anthony Tzes , Tarek H.M. El-Fouly , Mohamed Shawky El Moursi , Nauman Ali Larik","doi":"10.1016/j.ecmx.2025.100921","DOIUrl":"10.1016/j.ecmx.2025.100921","url":null,"abstract":"<div><div>Fossil fuel environmental issues and escalating costs have prompted a global shift towards renewable energy sources like solar photovoltaic. However, optimizing the performance of photovoltaic systems requires a comprehensive investigation of the various factors that reduce their power generation. Dust accumulation is prevalent in arid regions like the United Arab Emirates, posing a significant challenge to solar photovoltaic performance. Therefore, this study investigates the effect of soiling (from 1% to 5%) on electrical parameters (open circuit voltage and short circuit current), photovoltaic panel characteristics (cell temperature and module efficiency), and environmental variables (wind speed and irradiance) in the United Arab Emirates based Noor Abu Dhabi Solar Project. Additionally, machine learning algorithms such as artificial neural networks, support vector machines, regression trees, ensemble of regression trees, Gaussian process regression, efficient linear regression, and kernel methods are employed to predict power reduction due to soiling and soiling losses across various soiling percentages. Hyperparameter optimization using Bayesian methods enhances predictive performance. Results show Gaussian process regression and artificial neural networks excel in accuracy, though all models’ performance declines with increased soiling. Economic analysis via system advisor model highlights significant revenue drops in power purchase agreements with higher soiling, emphasizing need for proactive cleaning and maintenance.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100921"},"PeriodicalIF":7.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tawaf Ali Shah, Zhihe Li, Zhiyu Li, Andong Zhang, Tao Li, Hongyu Gu
{"title":"Exploring the potential of ligninolytic Bacillus sp. TSA-4 in wheat straw pretreatment for efficient methane production: A genomic perspective","authors":"Tawaf Ali Shah, Zhihe Li, Zhiyu Li, Andong Zhang, Tao Li, Hongyu Gu","doi":"10.1016/j.ecmx.2025.100920","DOIUrl":"10.1016/j.ecmx.2025.100920","url":null,"abstract":"<div><div>The study aimed to remove lignin from wheat straw, which hinders the methane yield during fermentation. For lignin removal, a lignin-degrading strain [<em>Bacillus sp</em>. Strain TSA-4], 1 %H<sub>2</sub>SO<sub>4</sub><em>,</em> 1 % NaOH were tested separately, and in combination. A lignin degrading bacteria <em>Bacillus sp</em>. Strain TSA-4 was isolated and it showed 76.63 % of lignin and 78.60 % Remazol Brilliant Blue R dye decolorization respectively. The strain showed lignin peroxidase (LiP), laccase (Lac), and cellulase activities of 58.1 U/mL, 27.3 U/mL, and 20.2 U/mL, respectively, at pH 5–6 and 50 °C. Different pretreatment test of 1 % H<sub>2</sub>SO<sub>4</sub>, 1 % NaOH, <em>Bacillus sp</em>. Strain TSA-4 and combinations were evaluated for the breakdown of lignin and cellulose of wheat straw. The combine AKT [1 %H<sub>2</sub>SO<sub>4</sub> <em>+</em> 1 % NaOH + <em>Bacillus</em> sp. TSA4] pretreatment showed 84.98 % lignin degradation, and 68–70 % glucose and soluble sugar from pretreated wheat straw sample compared to the untreated wheat straw samples (17–18 %). The wheat straw pretreated with (1 % H2SO4 + 1 % NaOH + <em>Bacillus</em> sp. TSA4) AKT produced a cumulative biogas yield of 431.9 mL/gVS wheat straw, which is higher than other single treatment conditions. The AKT treatment enhanced 98.5 % cumulative methane yield compared to the untreated wheat straw sample. The genomic characterization of <em>Bacillus</em> sp. Strain TSA-4 has revealed the presence of multiple genes that encode lignocellulolytic enzymes. This confirms its cellulolytic potential and ability to break down lignocellulosic biomass. These findings emphasize the potential of <em>Bacillus</em> sp. Strain TSA-4 in the production of sugars and the utilization of lignocellulosic biomass in various industrial applications.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100920"},"PeriodicalIF":7.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"WHR systems based on sCO2 gas turbines for marine applications: The effect of route environmental conditions on performance","authors":"Fabrizio Reale, Patrizio Massoli","doi":"10.1016/j.ecmx.2025.100915","DOIUrl":"10.1016/j.ecmx.2025.100915","url":null,"abstract":"<div><div>Waste Heat Recovery is one of the viable solutions to enhance the global efficiency of propulsion and energy systems in marine applications, thus mitigating and reducing the greenhouse gas emission from shipping. In this context, WHR systems based on supercritical CO<sub>2</sub> Brayon Cycle are considered an emerging and interesting technology. The aim of this study is to investigate the off-design behaviour of an integrated energy system based on a commercial gas turbine (LM2500+) and a bottoming partially preheated and recuperated sCO<sub>2</sub> gas turbine, considering the variations in environmental conditions, that a vessel may encounter along commercial routes. In particular, an energy, environmental and exergetic numerical analysis has been carried out considering two different routes connecting Europe (the departure port is Naples in Southern Italy) to Kuala Lumpur (Malaysia), passing or not through the Suez Canal. The same routes have been considered in two different seasons (March 2024 and August/September 2024), to underline the effect of air and seawater temperatures on the overall performance of the integrated system. The steady-state thermodynamic analysis has been carried out using the commercial software Thermoflex. The results of the analysis highlighted that the overall efficiency of the system can vary up to 11 % in the same location, in different seasons and can reach a value closed to 49 %, dropping to 42 % in the worst-case scenario. At the same time, the efficiency of WHR can change up to 40–47 % in the same location under different environmental conditions considered.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100915"},"PeriodicalIF":7.1,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Al-Kuwari , Murat Kucukvar , Nuri C. Onat , Hussein Al-Yafei , Ahmed AlNouss
{"title":"Advancing sustainability in LNG-Powered electricity generation: A comprehensive life cycle sustainability assessment","authors":"Ahmad Al-Kuwari , Murat Kucukvar , Nuri C. Onat , Hussein Al-Yafei , Ahmed AlNouss","doi":"10.1016/j.ecmx.2025.100905","DOIUrl":"10.1016/j.ecmx.2025.100905","url":null,"abstract":"<div><div>Meeting the rising global energy demand necessitates efficient and sustainable electricity generation, with Liquefied Natural Gas (LNG) emerging as a cleaner alternative to traditional fossil fuels. In 2020, the United Kingdom generated 121.04 TWh of electricity using natural gas, accounting for over one-third of its total electricity production. However, achieving sustainability in LNG-based electricity generation remains a significant challenge. This study evaluates the sustainability of LNG-derived electricity in the UK, focusing on LNG sourced from Qatar, through a comprehensive life cycle sustainability assessment spanning eleven stages from natural gas extraction to power generation. The analysis integrates life cycle assessment, Aspen Hysys process simulation, and sensitivity analysis to identify key stages for improvement. The findings highlight that natural gas extraction contributes 96.23% of the total energy consumption, while power plants are responsible for 67.42% of total greenhouse gas emissions. Economic analysis identifies high operational costs and resource intensity as major barriers to sustainability. Socially, while LNG shipping creates employment opportunities, it raises concerns about fair compensation practices. Sensitivity analysis identifies regasification as a critical stage where targeted improvements can significantly reduce emissions. Furthermore, optimizing vessel design and LNG shipping routes offers the potential for minimizing environmental impacts. This study recommends strategic actions such as enhancing shipping logistics, advancing liquefaction technologies, and integrating renewable energy to improve the sustainability of LNG-based electricity generation. The findings provide actionable insights for policymakers, industry stakeholders, and researchers, emphasizing the need to critically reassess LNG’s role in shaping a sustainable energy future.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100905"},"PeriodicalIF":7.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yinjin Lee , Eugene Kok , Soo Lin Goh , Keying Chen , Eugene Hong Zhuang Ho , Yong Jie Leow , Daren Zong Loong Tan , Zhiquan Yeo , Hsien Hui Khoo , Experience I. Nduagu , Wenzhao (Tony) Wu , Saifudin M. Abubakar , Jonathan Sze Choong Low
{"title":"Comparative life cycle greenhouse gas emission and cost assessment of hydrogen fuel and power for Singapore","authors":"Yinjin Lee , Eugene Kok , Soo Lin Goh , Keying Chen , Eugene Hong Zhuang Ho , Yong Jie Leow , Daren Zong Loong Tan , Zhiquan Yeo , Hsien Hui Khoo , Experience I. Nduagu , Wenzhao (Tony) Wu , Saifudin M. Abubakar , Jonathan Sze Choong Low","doi":"10.1016/j.ecmx.2025.100911","DOIUrl":"10.1016/j.ecmx.2025.100911","url":null,"abstract":"<div><div>To identify lower-carbon and cost-effective hydrogen supplies for fuel and power generation in Singapore, we assessed the cradle-to-gate greenhouse gas (GHG) emissions and the landed costs of over fifty supply chains from Malaysia and Australia with current and emerging blue, turquoise, and green hydrogen production and carrier technologies. We found that with current technologies the total life cycle global warming potential of local H<sub>2</sub> production using steam methane reforming with carbon capture (4.47 kg CO<sub>2</sub>e/kg H<sub>2</sub>) is lower than importing solar-generated green H<sub>2</sub> from Australia transported as NH<sub>3</sub> (6.48 kg CO<sub>2</sub>e/kg H<sub>2</sub>) due to large emissions from conversion and transportation processes in the latter supply chain. When also considering emerging technologies, turquoise H<sub>2</sub> produced with the thermal decomposition of methane locally or in Malaysia is the most economical solution, while wind-generated H<sub>2</sub> from Australia transported as liquefied H<sub>2</sub> or NH<sub>3</sub> produce the least GHG emissions. In addition, we projected the impacts of the Singapore carbon tax, methane abatement in NG production, and reduction of renewable energy embodied emissions and costs on the supply chains in the year 2030. We estimated that with the expected renewable energy improvements, the emissions and costs of power generated from imported solar-powered H<sub>2</sub> could drop by as much as 74 % and 70 % respectively.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100911"},"PeriodicalIF":7.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimising computational efficiency in dynamic modelling of proton exchange membrane fuel cell power systems using NARX network","authors":"Hai Vu, Daejun Chang","doi":"10.1016/j.ecmx.2025.100908","DOIUrl":"10.1016/j.ecmx.2025.100908","url":null,"abstract":"<div><div>Despite emerging as a green solution for power systems across various fields, fuel cell systems still face challenges that hinder their adoption due to difficulties in accurately characterising subsystems and complex phenomena, as well as the lack of effective computational models. This work utilises advanced AI technology to develop a fuel cell power system dynamic model with significantly enhanced computational speed. Three key milestones are achieved. First, a mechanistic/semi-empirical fuel cell model is established based on parameters with direct physical meaning. This model effectively illustrates the internal mechanisms of the fuel cell, providing deeper insights into its operation. Second, a complete dynamic model of a fuel cell power system is developed, comprising all necessary components and being capable of independently powering an external load or interacting with other systems. Third, by employing a Nonlinear Autoregressive model with External Input (NARX), a metamodel of the fuel cell system is created, achieving significantly improved computational efficiency while retaining essential knowledge of key phenomena. When comparing the simulation results of the NARX metamodel with those from the original mathematical model, the coefficient of determination (R<sup>2</sup>) exceeds 0.98 in post-startup conditions. Moreover, the computational speed increases at least 90-fold. The resulting metamodel demonstrates substantial potential for resolving the existential obstacles in fuel cell modelling, helping to foster the adoption of the system in real-world decarbonisation.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100908"},"PeriodicalIF":7.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A review of biological processing technologies for palm oil mill waste treatment and simultaneous bioenergy production at laboratory scale, pilot scale and industrial scale applications with technoeconomic analysis","authors":"Debbie Dominic, Siti Baidurah","doi":"10.1016/j.ecmx.2025.100914","DOIUrl":"10.1016/j.ecmx.2025.100914","url":null,"abstract":"<div><div>Palm oil production is one of the significant economic contributors to Malaysia, yet it poses serious environmental challenges, particularly in the management of palm oil mill waste. As the industry expands, the improper management of palm oil waste has raised alarms regarding environmental concerns. This review aims to address sustainable bioenergy production through biological processing technologies for palm oil mill waste treatment, focusing on biofuels such as biogas, bioethanol, and solid biomass pellets. Furthermore, the optimization of these technologies and their efficiency in removing pollutants like chemical oxygen demand (COD), biochemical oxygen demand (BOD), and total suspended solids (TSS) at laboratory, pilot, and industrial scales are also explored. Additionally, the technoeconomic analysis (TEA) of the treatment technologies using SuperPro Designer and Aspen Plus is discussed to provide insights into their economic viability and environmental benefits. This review presents a comprehensive approach to palm oil mill waste treatment integrated with bioenergy production and offers scalable and economically viable solutions for sustainable palm oil production. In the future, the development of hybrid biological treatment systems combining advanced technologies such as artificial intelligence (AI), internet of things (IoT), and nanotechnology could be proposed to further enhance operational efficiency, reduce costs, and maximize the recovery of bioenergy. Importantly, the adoption of sustainability certifications like Roundtable on Sustainable Palm Oil (RSPO) and Malaysian Sustainable Palm Oil (MSPO) is crucial in promoting responsible practices in palm oil production while ensuring compliance with environmental regulations, which would improve marketability.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100914"},"PeriodicalIF":7.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production","authors":"Axel Curcio , Sylvain Rodat , Valéry Vuillerme , Stéphane Abanades","doi":"10.1016/j.ecmx.2025.100913","DOIUrl":"10.1016/j.ecmx.2025.100913","url":null,"abstract":"<div><div>This study tackles the theoretical controllability of a hybrid solar-autothermal biomass gasifier, subject to dynamic variations of the solar power input, for round-the-clock operation. An industrial-scaled spouted bed reactor is considered, which can ensure the continuous conversion of 2 to 3 t/h of woody biomass particles. Insufficient solar power is dynamically counterbalanced by <em>in situ</em> oxy-combustion, to maintain the reaction temperature at 1200 K and the total H<sub>2</sub> + CO flowrate production at 1000 NL/s. A Model Predictive Control (MPC) algorithm is thus implemented, and the feasibility of hybridized operation is demonstrated on a second-per-second basis. Daily and yearly performance results are achieved to discuss the relevance of several model assumptions and design choices, and a sensitivity analysis is proposed. In the region of Targasonne (French Pyrenees), hybridized gasification enables reducing biomass and O<sub>2</sub> consumptions by 6.2 % and 19.5 %, respectively, as compared with autothermal gasification for the same gas flowrate production. The yearly solar heat share reaches 22 %, while a 7.2 % dumping of the solar heat available is necessary to avoid over-heating. Within this scope, higher H<sub>2</sub> + CO production rates can only be achieved at the cost of lower solar heat shares but lower dumping rates, thus better utilization of the available solar resource. The feasibility of dynamic control of a solar-autothermal biomass gasifier was successfully demonstrated for the determination of annual process performance with reasonable computational costs, paving the way to stable and controllable solar gasification process operation.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100913"},"PeriodicalIF":7.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Freshwater production through multi effect desalination integrated with parabolic trough collectors","authors":"Mohammad Mahyar Khademi, Fathollah Pourfayaz","doi":"10.1016/j.ecmx.2025.100907","DOIUrl":"10.1016/j.ecmx.2025.100907","url":null,"abstract":"<div><div>Today, due to the increase in industrial activities and the increase in the world’s population, the human need for fresh water has increased. About 70% of the earth’s surface is covered by water, but about 15% of people suffer from lack of access to fresh water, which will increase by 40% by 2025. As a result, the use of seawater desalination units can solve the above basic problem. The use of fossil fuels is no longer a suitable solution for providing energy for desalination of sea water due to the increase in the emission of greenhouse gases, including carbon dioxide. On the other hand, the use of solar energy, due to its availability and cleanliness, is a promising solution for desalination of sea water. Integration of renewable systems with desalination units can solve the shortage of fresh water in the world and make the systems sustainable. The most important desalination processes include membrane desalination (for example, reverse osmosis (RO)) and thermal desalination (for example, multistage flash (MSF) and multi effect distillation (MED)). In this review article, the integration of parabolic trough collectors (PTC) with MED desalination units is investigated. And the advantages and disadvantages of each of these systems have been examined. Finally, increasing knowledge in the field of fresh water production using parabolic solar collectors has been significantly emphasized.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100907"},"PeriodicalIF":7.1,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}