Energy Conversion and Management-X最新文献

{"title":"Complementarity in renewable energy sources: Insights from scientometric analysis","authors":"Prangon Chowdhury,&nbsp;Nahid-Ur-Rahman Chowdhury,&nbsp;Omar Farrok","doi":"10.1016/j.ecmx.2025.100930","DOIUrl":"10.1016/j.ecmx.2025.100930","url":null,"abstract":"<div><div>Renewable energy sources (RESs) enhance reliability and sustainability through complementarity by strategically combining different energy types to improve power generation stability. However, they also face challenges such as variability and intermittency, which can impact the consistency of energy supply. Despite extensive research, there is a lack of scientometric analyses that evaluate global trends, key contributors, and emerging methodologies in complementarity studies. This paper addresses this gap by conducting a scientometric analysis of existing research, identifying influential studies, methodologies, and collaboration patterns. Using a structured framework, the methodology includes data retrieval, selection criteria, and analysis, providing insights into the current state of research. Findings reveal that a significant proportion of publications originate from a limited number of countries, suggesting a need for broader geographical representation. Additionally, there has been a consistent increase in the annual number of publications since 2017. The paper also highlights key mechanisms for mitigating variability, including optimized hybrid system planning, strategic geographic dispersion of energy resources, and the integration of advanced forecasting and storage technologies. Wind, solar, and hydro combinations are widely studied, with strong seasonal and spatial synergies that reduce reliance on energy storage. Advanced methodologies, such as GIS-based analysis and machine learning, are increasingly used to optimize hybrid system configurations. However, regional constraints and variability require tailored integration strategies, as findings are not always universally applicable. In essence, the study recommends optimizing hybrid systems, strategically distributing resources across diverse locations, and integrating advanced forecasting and storage technologies to enhance grid stability and reliability.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100930"},"PeriodicalIF":7.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419713","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":"Scenario-Based analysis of energy transition for an outermost EU Territory: The case of Tenerife island","authors":"Santiago Escamilla-Fraile ,&nbsp;Rubén Lorenzo Cruz-González ,&nbsp;Oscar García-Afonso ,&nbsp;Francisco J. Calero-García ,&nbsp;Benjamín González-Díaz ,&nbsp;Francisco J. Ramos-Real","doi":"10.1016/j.ecmx.2025.100917","DOIUrl":"10.1016/j.ecmx.2025.100917","url":null,"abstract":"<div><div>The Canary Islands are targeting full decarbonization by 2040, a decade ahead of Spain and the European Union. However, the region relies heavily on aging fossil-fuel plants and energy imports, with only 20% of its electricity derived from renewable sources. This study evaluates official regional decarbonization plans’ feasibility and economic efficiency and proposes an alternative energy transition pathway tailored to Tenerife’s unique geographical and technical challenges. Using EnergyPLAN simulation software, three scenarios are modeled: the current trajectory, the implementation of regional decarbonization plans, and a novel pathway to achieve net-zero emissions by 2040. The proposed scenario achieves 86% renewable electricity generation and reduces electricity costs by 48%, from 0.56 to 0.29 €/kWh, outperforming official plans. Key strategies include introducing natural gas as a transitional fuel, deploying battery storage to support renewable energy expansion, and integrating offshore wind and green hydrogen technologies. This study advances energy transition research for isolated territories by offering practical, cost-effective solutions that balance feasibility and ambition with broader applicability to other land-constrained systems and outermost regions in Europe.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100917"},"PeriodicalIF":7.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429635","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":"Towards biogas production from vinasse and pentose liquor from sugarcane biorefineries","authors":"Diego Rafael Mágero Elihimas ,&nbsp;Graciano Fernandes de Mendonça ,&nbsp;Cláudia Jéssica da Silva Cavalcanti ,&nbsp;Mauro Antonio da Silva Sa Ravagnani ,&nbsp;Caliane Bastos Borba Costa ,&nbsp;Diogo Ardaillon Simões ,&nbsp;Sávia Gavazza ,&nbsp;Bruna Soares Fernandes","doi":"10.1016/j.ecmx.2025.100925","DOIUrl":"10.1016/j.ecmx.2025.100925","url":null,"abstract":"<div><div>Vinasse and pentose liquor are liquid streams produced as waste in sugarcane mills. Biogas production from these streams offers significant potential for energy recovery, contributing to sustainability and reducing fossil fuel dependency. While methane production from vinasse has been extensively studied, the co-digestion of vinasse and pentose liquor for biogas production remains underexplored. This review evaluates the potential of co-digesting these byproducts, by analyzing substrate composition, reactor configurations, and process conditions to optimize methane yield. Key influencing factors include sulfate concentration, temperature, toxic compounds, organic loading rate, and reactor design, which influence microbial activity and the balance between sulfate-reducing bacteria and methanogens. The pretreatment to obtain pentose liquor is especially important for biogas production. Hydrothermal pretreatment is particularly effective, enhancing sugar recovery and minimizing inhibitory compounds like furans, which hinder anaerobic digestion. The results show that vinasse and pentose liquor co-digestion significantly enhance methane production, presenting a promising strategy for maximizing energy recovery. Studies reported an increase in the biochemical methane potential by up to 118%. Additionally, separating the acidogenic and methanogenic phases improves process stability. These findings highlight the potential of these solutions to contribute to the sugarcane industry.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100925"},"PeriodicalIF":7.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429634","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 state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications","authors":"Mahmudul Hasan ,&nbsp;Zannatul Mifta ,&nbsp;Sumaiya Janefar Papiya ,&nbsp;Paromita Roy ,&nbsp;Pronay Dey ,&nbsp;Nafisa Atia Salsabil ,&nbsp;Nahid-Ur-Rahman Chowdhury ,&nbsp;Omar Farrok","doi":"10.1016/j.ecmx.2025.100922","DOIUrl":"10.1016/j.ecmx.2025.100922","url":null,"abstract":"<div><div>The rapid growth in electricity demand, driven by its expanding applications across diverse sectors, has emphasized the criticality of maintaining a balanced and reliable power supply. Accurate load forecasting has become a cornerstone of modern power system management, enabling the efficient planning, operation, and design of electrical grids. With the increasing penetration of renewable energy sources and the rise of smart grid technologies, the need for precise forecasting methodologies has intensified to ensure enhanced grid stability, efficiency, and seamless renewable integration. This article systematically reviews contemporary state-of-the-art forecasting techniques, critically analyzing their performance, applications, and outcomes. Emphasis is placed on methodologies for predicting renewable energy availability, electricity pricing, and load demand, with an in-depth evaluation of their modeling frameworks and predictive accuracies. The review highlights significant advancements in artificial intelligence-based approaches, particularly machine learning and neural network models, which consistently outperform traditional forecasting methods in terms of precision and robustness. For enhanced clarity, key insights and comparative analyses are summarized in comprehensive tables, facilitating efficient reference. This review aims to provide researchers with a thorough understanding of advanced forecasting models, their capabilities, and limitations, thereby guiding future research endeavors in the domain of load forecasting.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100922"},"PeriodicalIF":7.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419712","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":"Recycling of waste lubricant oil using two-step pyrolysis to produce fuel-like diesel and enhancing its combustion and emission parameters in diesel engines using linseed biodiesel","authors":"Ahmed I. EL-Seesy ,&nbsp;Radwan M. El-Zoheiry ,&nbsp;Mohamed I. Hassan Ali","doi":"10.1016/j.ecmx.2025.100924","DOIUrl":"10.1016/j.ecmx.2025.100924","url":null,"abstract":"<div><div>The current study aimed to recycle waste lubricating oil (WLO) through a two-step electrical pyrolysis process and subsequently blended the produced fuel-like diesel (FLDR2) with linseed biodiesel (LSB) to enhance its combustion and emission characteristics. The experiment was divided into three phases. First, the electrical pyrolysis reactor was designed and implemented at the lab scale. In the second phase, the WLO was transferred to FLDR2 using the pyrolysis reactor in two rounds. In addition, linseed biodiesel (LSB) was prepared by using the same reactor with the aid of 1 % wt. NaOH as a catalyst. The physicochemical properties of FLDR1, FLDR2, and LSB were assessed by applying FTIR and TGA. In the pretest, fuel like-diesel produced from round-1, labeled FLDR1, was applied to the diesel engine, but it did not run smoothly. Finally, the combustion and pollutant features of pure FLDR2, LSB, and their 20 % and 30 % mixtures by volume of LSB and 80 % and 70 % of FLDR2, named B20 and B30, were assessed. The pyrolysis results indicated that the maximum yields for FLDR1, FLDR2, and LSB were approximately 82.5 %, 96.5 %, and 83.5 %, respectively. Two-step pyrolysis is an effective technique for producing fuel-like diesel with physicochemical properties comparable to those of diesel fuel, including a low sulfur content (0.24 wt%). The viscosity, density, and heating value of FLDR2 were 3.4 cSt, 834 kg/m³, and 42,948 kJ/kg, respectively. The engine performance analysis revealed a 39 % increase in smoke opacity and a 5 % increase in brake-specific fuel consumption for FLDR2 compared with diesel fuel. However, the B20 and B30 blends presented substantial reductions in smoke opacity, with average values of 32 % and 50 %, respectively, compared with those of pure FLDR2 and D100. These findings illustrated that blending LSB with FLDR2 significantly enhanced engine performance and demonstrated its potential as a viable alternative fuel for diesel engines, particularly the B30 blend, without requiring any engine modifications.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100924"},"PeriodicalIF":7.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419715","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":"Thermal barrier performance of natural fiber-reinforced biocomposite panels with the reflective surface for conserving heat energy in buildings","authors":"M A Rahman Bhuiyan,&nbsp;M Ashnaim Bari,&nbsp;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 m²·K/W) than the black ones (0.04862 m²·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}

{"title":"Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms","authors":"Muhammad Faizan Tahir ,&nbsp;Anthony Tzes ,&nbsp;Tarek H.M. El-Fouly ,&nbsp;Mohamed Shawky El Moursi ,&nbsp;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}

{"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,&nbsp;Zhihe Li,&nbsp;Zhiyu Li,&nbsp;Andong Zhang,&nbsp;Tao Li,&nbsp;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 %H₂SO₄<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 % H₂SO₄, 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 %H₂SO₄ <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,&nbsp;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 CO₂ 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 sCO₂ 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}

{"title":"Advancing sustainability in LNG-Powered electricity generation: A comprehensive life cycle sustainability assessment","authors":"Ahmad Al-Kuwari ,&nbsp;Murat Kucukvar ,&nbsp;Nuri C. Onat ,&nbsp;Hussein Al-Yafei ,&nbsp;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}