Cleaner Energy Systems最新文献

{"title":"Optimizing phase change material placement in sustainable building envelopes for enhanced thermal performance","authors":"Azzeddine Elghomari,&nbsp;Amine Tilioua","doi":"10.1016/j.cles.2025.100220","DOIUrl":"10.1016/j.cles.2025.100220","url":null,"abstract":"<div><div>This study examines the thermal performance of cement-polystyrene walls, both with and without Phase Change Material (PCM), using a scaled-down thermal cavity with interchangeable sidewalls. The primary objective is to optimize the PCM layer placement within the wall structure by analyzing changes in surface temperature and reductions in heat flux. The results reveal that positioning the PCM layer next to the heat source maximizes latent heat release, thereby improving thermal regulation. Various factors, including the phase transition temperature, heat source temperature, and heat flux density, were taken into account. Experiments conducted at 45 °C, which represents typical summer conditions in the Drâa-Tafilalet Region in south-east Morocco, show that walls enhanced with phase change materials (PCMs) effectively reduce both surface heat flux and temperature. This study underscores the potential of incorporating PCM-enhanced cement-polystyrene walls to enhance thermal performance and energy efficiency in building materials.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100220"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Negative emission strategies to reduce the carbon intensity of Brazilian sugarcane ethanol under RenovaBio","authors":"Lucas G. Pereira ,&nbsp;Marília Ieda da S. Folegatti ,&nbsp;Nilza Patrícia Ramos ,&nbsp;Cristiano Alberto de Andrade ,&nbsp;Anna Leticia M.T. Pighinelli ,&nbsp;Rosana Galindo ,&nbsp;Joaquim E.A. Seabra","doi":"10.1016/j.cles.2025.100208","DOIUrl":"10.1016/j.cles.2025.100208","url":null,"abstract":"<div><div>Brazil’s National Biofuel Policy (RenovaBio) promotes negative emission technologies (NETs) as one of the instruments to reduce the carbon intensity (CI) of biofuels; however, no mill in the country has integrated such strategies into its production processes to date.</div><div>The present study examined the potential impact of two promising NETs (i.e, bioenergy with carbon capture and storage (BECCS) and field application of biochar) on the CI of sugarcane ethanol, calculated using the methodological approach adopted by RenovaBio. In addition, the assessment used data from the agricultural and industrial stages provided by 62 certified sugarcane mills.</div><div>Results show that these strategies have the potential to significantly reduce the CI of ethanol. The obtained value of +32.8 g CO₂e/MJ of hydrated ethanol (without NETs considered) could be reduced to +15.9 (with the application of 1.0 t biochar/ha), +10.4 (with BECCS from fermentation), and −81.3 (with BECCS from combustion). Ethanol-blended gasoline (produced in association with NETs) has the potential to reduce impacts; however, achieving reductions similar to those of electric and all-ethanol vehicles, when compared to conventional gasoline, would depend on NETs that are unlikely to be implemented (e.g. BECCS from combustion). Estimates show that the carbon credits made available in RenovaBio will probably not be sufficient to provide attractive financial viability. Other instruments, such as private funding through the voluntary carbon market (VCM) and specific national incentive policies, may be essential for financing NETs.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100208"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of the distributed photovoltaic systems towards oil-gas field and its implications for carbon emission reduction in China: A review on current and novel perspective on engineering approaches","authors":"Jun Liu ,&nbsp;Shenghao Liu ,&nbsp;Mingxiang Li ,&nbsp;Xueying Wu ,&nbsp;Zhengwei Li ,&nbsp;Xia Hao","doi":"10.1016/j.cles.2025.100198","DOIUrl":"10.1016/j.cles.2025.100198","url":null,"abstract":"<div><div>In China, the current energy consumption and pollution levels of oilfield are not in line with green development trends. Consequently, it is essential to integrate traditional oil/gas exploitation with renewable energy, like photovoltaic power. This paper provides an overview of the application of Distributed Photovoltaic Systems (DPVS) in oil-gas field. China's escalating energy demand and environmental concerns have underscored the significance of renewable energy, particularly photovoltaics. It also addresses the environmental impact of oilfield extraction, highlighting the necessity to reduce CO₂ emissions. By analyzing policies that promote renewable energy, the paper identifies the DPVS potential in alleviating environmental issues. The paper examines the key elements and development status of photovoltaic systems for oil-gas fields, encompassing their history, components, and technologies. It explores the power consumption and system characteristics of oil-gas fields, proposing a structured methodology for designing and planning DPVS -including feasibility analysis, equipment selection, and cost calculations. Additionally, the paper assesses the economic benefits of DPVS using indicators such as Net Present Value, Internal Rate of Return, Dynamic Payback Period, and Levelized Cost of Energy. Finally, the paper discusses the limitations of DPVS in oilfields and outlines future trends, including solar-wind hybrid systems, DC microgrids, and integrated energy systems.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100198"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainability analysis of hybrid renewable-based power generation with battery energy storage system for remote islands: Application to Koh Hang, Thailand","authors":"Weerasak Chaichan ,&nbsp;Jompob Waewsak ,&nbsp;Yoawapa Naklua ,&nbsp;Fida Ali ,&nbsp;Chokchai Mueanmas ,&nbsp;Ruamporn Nikhom ,&nbsp;Chuleerat Kongruang ,&nbsp;Yves Gagnon","doi":"10.1016/j.cles.2025.100203","DOIUrl":"10.1016/j.cles.2025.100203","url":null,"abstract":"<div><div>This study focuses on the development of a hybrid renewable energy system, with a battery energy storage system, for a small island, Koh Hang, off the coast of Krabi province, in the Andaman Sea of Thailand. Currently un-powered, the island has a good solar energy potential, but limited wind energy potential. Using HOMER Pro optimization model, seven hybrid renewable energy systems consisting of solar PV, wind, biogas, and a battery energy storage system (BESS) are studied to identify the optimal configuration to meet the load demand with the lowest levelized cost of energy (LCOE). Among the hybrid configurations studied, the optimal solar PV – biogas - BESS system offered the lowest LCOE of 0.215 US$/kWh. A public opinion survey was also carried out in the community to measure the level of acceptance of such system on the island, with the willingness to pay for a proposed tariff being the key issue for the long-term sustainability of the proposed system. This work, which can be replicated in similar off-grid microgrids, contribute in improving the quality of life and the economy of off-grid settlements, while minimizing the impacts on the environment.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100203"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative operational carbon footprints of a vehicle in Brazil: Electric, ethanol, and gasoline","authors":"João Marcelo Fernandes Gualberto Galiza ,&nbsp;Silvia Guillén-Lambea ,&nbsp;Monica Carvalho","doi":"10.1016/j.cles.2025.100194","DOIUrl":"10.1016/j.cles.2025.100194","url":null,"abstract":"<div><div>This study quantifies the operational carbon footprint of the Renault Kwid E-Tech (electric vehicle) and Renault Kwid Intense <em>flex</em> (gasoline and ethanol internal combustion engine vehicle) under a Well-to-Wheel approach within the Brazilian context. With a functional unit of 100,000 km, this analysis evaluates greenhouse gas (GHG) emissions associated with fuel consumption and considers different electric mixes across Brazilian regions, along with the periodic maintenance of each vehicle type. The results reveal significant environmental benefits in regions such as the Northeast, where renewable energy sources predominate, reducing the carbon footprint of the electric model, with a carbon footprint of 0.071 kg CO₂-eq/kWh. By contrast, the higher carbon intensity of the South’s electricity mix reliant on coal, with a carbon footprint of 0.281 kg CO₂-eq/kWh, presents limitations in achieving emissions reductions with electric vehicles. Ethanol, a renewable biofuel in the Brazilian market, demonstrated a 46 % reduction in GHG emissions compared to gasoline. This study contributes to the sustainable mobility discourse, highlighting the critical role of regional energy sources, fuel choices, and sustainable production practices in emissions outcome. These insights support the development of policies encouraging cleaner energy matrices and biofuel use, contributing to Brazil's emissions reduction goals.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100194"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposal of an interleaved boost converter controlled by a nonlinear MPPT ADRC as the boost stage of a solar inverter connected to the hospital electrical network","authors":"Badr RERHRHAYE,&nbsp;Fathallah RERHRHAYE,&nbsp;Ilyas LAHLOUH,&nbsp;Ahmed El AKKARY,&nbsp;Nacer SEFIANI,&nbsp;Najoua MRABET,&nbsp;Driss KHOUILI,&nbsp;Yassine ENNACIRI,&nbsp;Chaymae EL MARTAOUI","doi":"10.1016/j.cles.2025.100222","DOIUrl":"10.1016/j.cles.2025.100222","url":null,"abstract":"<div><div>This paper addresses the integration of renewable energy into hospital electrical networks, focusing on enhancing system reliability, efficiency, and compliance with stringent standards such as NFC15–211. Hospitals are critical infrastructures with high energy demands and require uninterrupted power for vital equipment. To address these challenges, we propose an innovative solution combining an interleaved DC-DC boost converter with a nonlinear MPPT-ADRC control strategy. The interleaved architecture reduces current and voltage ripple, improving energy conversion efficiency, while the robust ADRC control compensates for system disturbances and enhances stability under fluctuating solar irradiation. Simulation results demonstrate significant improvements in DC output quality and AC performance compared to conventional PID-GA-controlled systems, particularly under extreme operational conditions. Furthermore, the system design includes redundancy features to ensure continuous operation in fault scenarios, crucial for hospital environments. Future work will extend this control strategy to the inverter stage and explore transitioning to a microgrid architecture, aiming to enhance decentralized energy management and optimize renewable energy integration for sustainable and resilient hospital networks.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100222"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cleaner grid or smarter cooling? Environmental impact trade-offs of a data center using the life cycle assessment method","authors":"Mengying Zhang ,&nbsp;Michael Carbajales-Dale ,&nbsp;Xiaolong Ma ,&nbsp;Linke Guo ,&nbsp;Chao Fan","doi":"10.1016/j.cles.2025.100223","DOIUrl":"10.1016/j.cles.2025.100223","url":null,"abstract":"<div><div>The environmental impacts of data centers have been widely recognized and assessed through life cycle approaches. Although numerous mitigation strategies have been proposed to minimize these environmental impacts, the consequences and trade-offs introduced by implementing these strategies have not been systematically evaluated. We conduct a comprehensive life cycle assessment (LCA) to examine the environmental impacts of a representative hyperscale data center located in Virginia, United States. Using detailed inventory data from the OpenLCA software and the Ecoinvent database, we quantify greenhouse gas emissions and nine additional environmental impact categories. Our study shows that over 99 % of the data center’s total environmental impacts result from electricity consumption. Hence, an effective mitigation strategy to this challenge should focus on the efficiency of electricity use and optimizing the environmental impacts of the strategy. Unlike prior studies focusing on global warming potential (GWP) alone, this study evaluates three specific mitigation strategies that target the environmental impacts of data centers: (1) transitioning to a cleaner electricity grid in the United States, (2) enhancing power usage effectiveness (PUE), an indicator widely adopted by the industry to reflect cooling system efficiency, and (3) the combination of these two strategies. Our results reveal that supplying data centers with a cleaner electricity grid significantly reduces GWP by 28.2 %, exceeding the 20.8 % reduction achieved by improving PUE to 1.1. However, a cleaner grid simultaneously increases respiratory effects and eutrophication potential. Enhancing PUE does not bring negative impacts on environmental categories. An integrated approach, combining cleaner grid usage and enhanced PUE, has been proven to be a solution that effectively balances the highest possible reduction with 43.1 % in greenhouse gas emissions, with mitigation of respiratory effects and eutrophication potential inherent in transitioning to cleaner grids. Our study highlights the necessity of evaluating the environmental impacts of mitigation strategies and considering the complementary effects of different strategies to substantially enhance data center sustainability.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100223"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Re-analysis of land used for energy: Comparison of spatially explicit observations and literature sources","authors":"J. Sturtevant,&nbsp;R.A. McManamay,&nbsp;A. Corry-Roberts,&nbsp;S. Nguyen","doi":"10.1016/j.cles.2025.100211","DOIUrl":"10.1016/j.cles.2025.100211","url":null,"abstract":"<div><div>Energy production has many life cycles, each requiring expansive infrastructure and a significant spatial footprint in the landscape. As energy systems expand and technologies transition from non-renewable to renewable energy sources, it is imperative to accurately quantify the amount of land needed. Since life cycles of different technologies may require very different conversion of land surfaces, land transformation estimates can provide a standardized measure of the efficiency of an energy technology. Although there is an abundance of existing literature, spatial footprint estimates vary substantially among technologies and life-cycle stages. These varied sources could benefit from a standardized comparison and validation using a comprehensive and consistent ground-truth assessment. The National Water Energy Land Dataset (NWELD) provides comprehensive and spatially explicit mapping of land used for energy technology. Therefore, we present a methodological re-analysis of land used for energy by comparing spatially explicit observations from NWELD to coefficients found in literature for specific fuels and life cycles. Literature was compiled using a systematic methodology, filtered to collect pertinent data values, and summarized. NWELD land requirements were calculated and coupled with U.S. Energy Information Administration (EIA) data to determine the energy production per technology. Our results suggest that the total life cycle of NWELD’s natural gas, oil, nuclear, and coal have higher median land footprints than what is reported in literature, except for biomass. Furthermore, we find that literature resources recycle common data points, which if inaccurate, could lead to error propagation in estimating land used for energy.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100211"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing electricity production from food waste: A case study of Bangladesh","authors":"Jabed Hasan ,&nbsp;Md Mehedi Hasan Shaikot ,&nbsp;Roman Islam ,&nbsp;Nusrat Chowdhury ,&nbsp;Wahiba Yaïci ,&nbsp;Michela Longo","doi":"10.1016/j.cles.2025.100215","DOIUrl":"10.1016/j.cles.2025.100215","url":null,"abstract":"<div><div>Rapid urbanization in developing nations has intensified municipal solid waste (MSW) generation, posing critical challenges to sustainable urban development and energy security. This study presents a comprehensive techno-economic and environmental evaluation of an anaerobic digestion-based waste-to-energy (WtE) system tailored for Dhaka, Bangladesh-where over 72.25 % of MSW is biodegradable. A 40 MW biogas power plant was modeled using HOMER Pro software, incorporating load profiles, grid interaction, and system cost dynamics. The proposed system achieves a competitive levelized cost of electricity (LCOE) of 8.7 Tk/kWh ($0.0733), significantly outperforming conventional Independent Power Producers (14.62 Tk/kWh), rental and quick rental plants (12.53 Tk/kWh) and imported power (14.02 Tk/kWh). Annual GHG emissions were reduced to 1143,159 kg CO₂ and 1150 kg NOₓ, compared to 638,442 tons CO₂e from open dumping, as quantified using the SP1 methane emission model. These findings establish anaerobic digestion as a scalable, low-carbon alternative for urban energy systems in resource-constrained settings, aligning with circular economy and climate resilience goals.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100215"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient Deep-Reinforcement Learning for Photovoltaic Systems Under Faults Based on the I-V Curve Approach","authors":"YETTOU Tariq ,&nbsp;SEGHIOUR Abdellatif ,&nbsp;BOUCHETATA Nadir ,&nbsp;BENOUZZA Noureddine ,&nbsp;MOSTEFAOUI Imene Meriem ,&nbsp;RABHI Abdelhamid ,&nbsp;Santiago Silvestre ,&nbsp;CHOUDER Aissa","doi":"10.1016/j.cles.2025.100197","DOIUrl":"10.1016/j.cles.2025.100197","url":null,"abstract":"<div><div>Cleaner and sustainable Photovoltaic (PV) systems need to be supervised and monitored to reduce waste energy and improve power efficiency. The proposed technique in this work enhances solar energy production by precise fault detection of short-circuit and partial shading. It extends the PV system lifespan by mitigation component and further premature replacements. Moreover, automatic fault diagnosis helps maintain steady performance in variable climatic conditions and under varying occurred faults that minimize the backup to generators and energy losses. Firstly, we introduce a Bonobo Optimization Algorithm (BOA) that is capable of extracting and identifying the unknown parameters of the PV cell to model our study PV system and to mimic the fault behaviors. The identified model is validated and then used to generate the I-V and P-V curves, which are then fed to three autoencoders (AE) within an unsupervised learning framework to extract their features. Afterward, reinforcement learning (RL) is integrated through a stacked autoencoder (SAE) to combine environmental attributes such as solar irradiance and temperature with electrical features to improve the learned features and their sparsity. Also, to enable the system to adapt dynamically to new fault scenarios and noisy environments, deep-reinforcement learning (DRL) improves feature representation and classification through Artificial Neural Networks (ANN). This methodology provides an identification and categorization of 12 selected fault types in separated and combined ways, where this technique has been applied to a PV plant located in Algeria. The classification results exhibited exceptional accuracy, achieving 100% in the training phase and 99.8% in the testing phase, even amongst noisy input conditions with 97.2%. This study provides valuable insights into improving the reliability and efficiency of PV systems, particularly in the smart IV diagnosis that used multi-string PV inverter.</div></div>","PeriodicalId":100252,"journal":{"name":"Cleaner Energy Systems","volume":"12 ","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}