Pub Date : 2026-01-27DOI: 10.1016/j.ecmx.2026.101566
Arman Jahan Eva, Al Amin, Md Nasir Uddin, Tamim Ahmed, Abu Anas Nasim, Md Sahadat Hossain Sani, Md Shamsul Arefin
The global transition toward renewable energy has intensified interest in hybrid energy solutions that combine solar and wind power to enhance sustainability and reliability. Several studies have examined such integrated systems, however, most existing designs remain expensive, visually unsuitable for public spaces, and lack real-time monitoring or optimization capabilities, particularly in developing nations such as Bangladesh. Despite Bangladesh’s favorable solar irradiance and moderate wind potential, rural and urban public areas lack an efficient, decorative, and smart energy infrastructure. To address this gap, we propose a novel IoT-enabled hybrid solar wind energy tree tailored for public and rural settings in Bangladesh. Unlike conventional solutions, our proposed design integrates both energy sources into a visually appealing and self-sustaining structure capable of live monitoring and remote management. The system uses low-cost hardware (Arduino Nano, ESP8266, INA226 sensors) and simulation tools (COMSOL Multiphysics for structural integrity, HOMER Pro for cost analysis and MATLAB Simulink for performance modeling) using MPPT. A prototype was implemented for economic evaluation under site-specific conditions in Rajbari, Bangladesh (23°40.8′N, 89°31.3′E) demonstrating a Levelized Cost of Energy (LCOE) $0.11/kWh to $0.18/kWh for a single unit, which is approximately 50% lower than a standalone solar system. The community-scale configuration achieved a daily energy generation of up to 165 kWh under optimal conditions with an LCOE of $0.2997/kWh. This integrated solution offers a scalable, cost-effective, and environmentally friendly pathway to decentralized energy access in developing regions.
{"title":"Design and Performance Analysis of a Hybrid Solar-Wind Tree System with IoT based Real-Time Monitoring in Bangladesh","authors":"Arman Jahan Eva, Al Amin, Md Nasir Uddin, Tamim Ahmed, Abu Anas Nasim, Md Sahadat Hossain Sani, Md Shamsul Arefin","doi":"10.1016/j.ecmx.2026.101566","DOIUrl":"10.1016/j.ecmx.2026.101566","url":null,"abstract":"<div><div>The global transition toward renewable energy has intensified interest in hybrid energy solutions that combine solar and wind power to enhance sustainability and reliability. Several studies have examined such integrated systems, however, most existing designs remain expensive, visually unsuitable for public spaces, and lack real-time monitoring or optimization capabilities, particularly in developing nations such as Bangladesh. Despite Bangladesh’s favorable solar irradiance and moderate wind potential, rural and urban public areas lack an efficient, decorative, and smart energy infrastructure. To address this gap, we propose a novel IoT-enabled hybrid solar wind energy tree tailored for public and rural settings in Bangladesh. Unlike conventional solutions, our proposed design integrates both energy sources into a visually appealing and self-sustaining structure capable of live monitoring and remote management. The system uses low-cost hardware (Arduino Nano, ESP8266, INA226 sensors) and simulation tools (COMSOL Multiphysics for structural integrity, HOMER Pro for cost analysis and MATLAB Simulink for performance modeling) using MPPT. A prototype was implemented for economic evaluation under site-specific conditions in Rajbari, Bangladesh (23°40.8′N, 89°31.3′E) demonstrating a Levelized Cost of Energy (LCOE) $0.11/kWh to $0.18/kWh for a single unit, which is approximately 50% lower than a standalone solar system. The community-scale configuration achieved a daily energy generation of up to 165 kWh under optimal conditions with an LCOE of $0.2997/kWh. This integrated solution offers a scalable, cost-effective, and environmentally friendly pathway to decentralized energy access in developing regions.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101566"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080239","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}
Pub Date : 2026-01-27DOI: 10.1016/j.ecmx.2026.101633
Nika Mlinarič Hribar , Matjaž Depolli , Gregor Kosec
Transmission line ampere capacity, i.e. ampacity, can be determined in real time using dynamic thermal rating (DTR). Standard DTR systems rely on weather data averaged over multi-minute windows. While sufficient for most weather parameters, this approach can introduce considerable inaccuracies due to short-term variability of both wind speed and direction.
This study investigates the inaccuracies using high-resolution (1-second) wind measurements from an in-service transmission line. We evaluate two commonly used wind-averaging methods and show that variability in wind direction and the relative angle of wind crucially influence the results. In spans with parallel wind, which are often critical spans, i.e. spans that limit the ampacity of the whole line, averaged data commonly underestimates ampacity by more than 10%, with the maximum observed underestimation being over 45%. On the other hand, in perpendicular wind scenarios, averaging may lead to overestimation (by up to 25%), raising operational safety concerns.
For transmission system operators, incorporating wind-angle sensitivity and leveraging higher-resolution measurements where feasible can improve ampacity accuracy, enhance grid reliability, and unlock additional transfer capacity — contributing to more efficient and secure energy system operation.
{"title":"Wind variability and its effect on transmission line capacity estimation","authors":"Nika Mlinarič Hribar , Matjaž Depolli , Gregor Kosec","doi":"10.1016/j.ecmx.2026.101633","DOIUrl":"10.1016/j.ecmx.2026.101633","url":null,"abstract":"<div><div>Transmission line ampere capacity, i.e. ampacity, can be determined in real time using dynamic thermal rating (DTR). Standard DTR systems rely on weather data averaged over multi-minute windows. While sufficient for most weather parameters, this approach can introduce considerable inaccuracies due to short-term variability of both wind speed and direction.</div><div>This study investigates the inaccuracies using high-resolution (1-second) wind measurements from an in-service transmission line. We evaluate two commonly used wind-averaging methods and show that variability in wind direction and the relative angle of wind crucially influence the results. In spans with parallel wind, which are often critical spans, i.e. spans that limit the ampacity of the whole line, averaged data commonly underestimates ampacity by more than 10%, with the maximum observed underestimation being over 45%. On the other hand, in perpendicular wind scenarios, averaging may lead to overestimation (by up to 25%), raising operational safety concerns.</div><div>For transmission system operators, incorporating wind-angle sensitivity and leveraging higher-resolution measurements where feasible can improve ampacity accuracy, enhance grid reliability, and unlock additional transfer capacity — contributing to more efficient and secure energy system operation.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101633"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190516","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}
Pub Date : 2026-01-27DOI: 10.1016/j.ecmx.2026.101634
Qiuyan Xu, Greig Mordue
The aviation industry has committed to achieving net zero carbon emissions by 2050, with sustainable aviation fuel (SAF) identified as the most promising solution. The transition to SAF is mainly influenced by technological advancements, production capacities, and policy incentives. However, the rapidly evolving and diverse nature of SAF technologies complicates the landscape, resulting in a lack of value chain transparency and difficulties in understanding regional patterns in the SAF transition. This study addresses these challenges by constructing and analyzing a global database of SAF-related patents to examine SAF technology development trends, regional differences in innovation and patenting activities, the distribution of SAF technology domains, and key players in the supply chain. The analysis reveals regional disparities in innovation ecosystems and gaps in policy design while providing insights into the roles of stakeholders across the SAF value chain. Informed by these findings, the study makes policy recommendations aimed at addressing regional disparities, harmonizing SAF mandates, and aligning production with market dynamics, thereby supporting the sustainable decarbonization of aviation systems.
{"title":"The transition to sustainable aviation fuel: insights from patent analysis and policy implications","authors":"Qiuyan Xu, Greig Mordue","doi":"10.1016/j.ecmx.2026.101634","DOIUrl":"10.1016/j.ecmx.2026.101634","url":null,"abstract":"<div><div>The aviation industry has committed to achieving net zero carbon emissions by 2050, with sustainable aviation fuel (SAF) identified as the most promising solution. The transition to SAF is mainly influenced by technological advancements, production capacities, and policy incentives. However, the rapidly evolving and diverse nature of SAF technologies complicates the landscape, resulting in a lack of value chain transparency and difficulties in understanding regional patterns in the SAF transition. This study addresses these challenges by constructing and analyzing a global database of SAF-related patents to examine SAF technology development trends, regional differences in innovation and patenting activities, the distribution of SAF technology domains, and key players in the supply chain. The analysis reveals regional disparities in innovation ecosystems and gaps in policy design while providing insights into the roles of stakeholders across the SAF value chain. Informed by these findings, the study makes policy recommendations aimed at addressing regional disparities, harmonizing SAF mandates, and aligning production with market dynamics, thereby supporting the sustainable decarbonization of aviation systems.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101634"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080380","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}
Pub Date : 2026-01-27DOI: 10.1016/j.ecmx.2026.101614
Alexander Cyfka , Matthias Jordan , Jürgen Vollmer , Daniela Thrän
The climate crisis requires a transition to a climate neutral energy system, particularly in sectors that are hard to decarbonize. For these sectors, biomass-based energy carriers often represent a comparatively cost-effective decarbonization option. Given limited suitable land availability and high energy demand, identifying land-efficient solutions for renewable energy production is crucial. The present study is concerned with the collection and harmonization of data on the multi-land-use concepts of agricultural photovoltaics (Agri-PV) and agroforestry. Both concepts are considered here as systems capable of contributing to renewable energy supply, through electricity generation and biomass production for energy use. The objective is to integrate these concepts into a model of the German energy system and use the energy system optimization model BENOPTex to evaluate their economic viability. In various sensitivity analysis, we determine the most cost-effective land allocation for energy production on the 2.16 million hectares currently used for energy crops. Results indicate that, under current yield and cost assumptions, neither Agri-PV nor agroforestry systems outperform monoculture systems (e.g. Miscanthus) or ground-mounted PV. However, the analysis identifies yield and cost thresholds at which specific combinations become competitive. For example, a Miscanthus-sugar beet agroforestry system becomes viable with a 6% yield increase in Miscanthus compared to the monoculture yield. Despite their current economic disadvantages, Agri-PV and agroforestry offer non-monetized benefits including biodiversity enhancement and climate resilience. The study concludes that bridging the economic gap may require valuing these co-benefits or achieving significant cost and yield improvements through research and innovation.
{"title":"The future role of agroforestry and Agri-PV in the German energy system — An analysis with the BENOPTex model","authors":"Alexander Cyfka , Matthias Jordan , Jürgen Vollmer , Daniela Thrän","doi":"10.1016/j.ecmx.2026.101614","DOIUrl":"10.1016/j.ecmx.2026.101614","url":null,"abstract":"<div><div>The climate crisis requires a transition to a climate neutral energy system, particularly in sectors that are hard to decarbonize. For these sectors, biomass-based energy carriers often represent a comparatively cost-effective decarbonization option. Given limited suitable land availability and high energy demand, identifying land-efficient solutions for renewable energy production is crucial. The present study is concerned with the collection and harmonization of data on the multi-land-use concepts of agricultural photovoltaics (Agri-PV) and agroforestry. Both concepts are considered here as systems capable of contributing to renewable energy supply, through electricity generation and biomass production for energy use. The objective is to integrate these concepts into a model of the German energy system and use the energy system optimization model BENOPTex to evaluate their economic viability. In various sensitivity analysis, we determine the most cost-effective land allocation for energy production on the 2.16 million hectares currently used for energy crops. Results indicate that, under current yield and cost assumptions, neither Agri-PV nor agroforestry systems outperform monoculture systems (e.g. Miscanthus) or ground-mounted PV. However, the analysis identifies yield and cost thresholds at which specific combinations become competitive. For example, a Miscanthus-sugar beet agroforestry system becomes viable with a 6% yield increase in Miscanthus compared to the monoculture yield. Despite their current economic disadvantages, Agri-PV and agroforestry offer non-monetized benefits including biodiversity enhancement and climate resilience. The study concludes that bridging the economic gap may require valuing these co-benefits or achieving significant cost and yield improvements through research and innovation.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101614"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189860","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}
In this work, we present a kinetic simulation model for gas hydrates in porous media using the Operator-Based Linearization (OBL) technique. The OBL approach introduces algebraic operators that represent the physical terms in the mass and energy balance equations. Operators are calculated only in supporting points comprising the discretized parameter space, and operator values and partial derivatives for linear system assembly are readily obtained through (multi-)linear interpolation. Taking advantage of this setup, the implementation of advanced thermodynamic models for hydrate formation and dissociation under kinetic assumptions is simplified. We test the assumptions for thermodynamic modelling by analysing the Gibbs energy surfaces of the fluid and hydrate phases and demonstrate that, in the limit, the thermodynamic equilibrium for both kinetic and equilibrium reaction models is equivalent. We compare the simulation results with the published experimental results for CH4-hydrates and extend the assessment to a CO2-hydrate formation experiment in a semi-batch, constant-pressure configuration. The model reproduces the main pressure–temperature transients and hydrate evolution for both CH4- and CO2-systems. We demonstrate applicability at core scale for hydrate formation and, at field scale, for gas production from CH4-hydrates by thermal stimulation and depressurization. The interaction of thermal-compositional phenomena (phase changes, adiabatic expansion, kinetic rates, and reaction enthalpy) gives rise to highly nonlinear physics that an appropriate OBL discretization resolves. Overall, the patterns of hydrate formation and dissociation are highly sensitive to the kinetic-rate inputs; hence, the appropriate choice of the reaction model remains a key consideration from both physical and numerical perspectives.
{"title":"A thermodynamically consistent simulation of gas hydrates in porous media using Operator-Based Linearization","authors":"Michiel Wapperom , Sadegh M. Taghinejad , Xiaocong Lyu , Rouhi Farajzadeh , Denis Voskov","doi":"10.1016/j.ecmx.2026.101616","DOIUrl":"10.1016/j.ecmx.2026.101616","url":null,"abstract":"<div><div>In this work, we present a kinetic simulation model for gas hydrates in porous media using the Operator-Based Linearization (OBL) technique. The OBL approach introduces algebraic operators that represent the physical terms in the mass and energy balance equations. Operators are calculated only in supporting points comprising the discretized parameter space, and operator values and partial derivatives for linear system assembly are readily obtained through (multi-)linear interpolation. Taking advantage of this setup, the implementation of advanced thermodynamic models for hydrate formation and dissociation under kinetic assumptions is simplified. We test the assumptions for thermodynamic modelling by analysing the Gibbs energy surfaces of the fluid and hydrate phases and demonstrate that, in the limit, the thermodynamic equilibrium for both kinetic and equilibrium reaction models is equivalent. We compare the simulation results with the published experimental results for CH<sub>4</sub>-hydrates and extend the assessment to a CO<sub>2</sub>-hydrate formation experiment in a semi-batch, constant-pressure configuration. The model reproduces the main pressure–temperature transients and hydrate evolution for both CH<sub>4</sub>- and CO<sub>2</sub>-systems. We demonstrate applicability at core scale for hydrate formation and, at field scale, for gas production from CH<sub>4</sub>-hydrates by thermal stimulation and depressurization. The interaction of thermal-compositional phenomena (phase changes, adiabatic expansion, kinetic rates, and reaction enthalpy) gives rise to highly nonlinear physics that an appropriate OBL discretization resolves. Overall, the patterns of hydrate formation and dissociation are highly sensitive to the kinetic-rate inputs; hence, the appropriate choice of the reaction model remains a key consideration from both physical and numerical perspectives.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101616"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080324","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}
Pub Date : 2026-01-27DOI: 10.1016/j.ecmx.2026.101630
Mohammad Alhuyi Nazari , Erkaboy Davletov , Sanjarbek Madaminov , Alisher Abduvokhidov , Mohammad Hossein Ahmadi
A multi-objective optimization framework is developed for designing a hybrid renewable energy system (HRES) for Hormuz Island, integrating photovoltaic, wind, lithium-ion battery, proton-exchange-membrane electrolyzer-tank-fuel-cell, and a standby diesel generator. Real meteorological and demand data are employed to minimize the Levelized Cost of Energy (LCOE) and Net Present Cost (NPC) while maximizing the Renewable Energy Fraction (REF) and system resilience. The optimization integrates multiple conflicting techno-economic and environmental objectives through a TOPSIS-guided multi-criteria framework, where a scalar closeness coefficient is used as the fitness function within the search process, without explicit Pareto-front construction. Results indicate that, compared with the diesel baseline, the optimized configuration achieves an LCOE of 0.139 USD kWh−1, a 38.6 % reduction in NPC, a REF of 87 %, and nearly 89 % GHG mitigation. The discount rate exhibits the highest sensitivity, inducing ± 14.8 % variability in NPC and ± 9.2 % in LCOE, followed by battery CAPEX (±9.5 % NPC) and PV CAPEX (±7.1 %). Resilience evaluation under 10 % PV and 20 % hydrogen-storage perturbations confine the Loss-of-Load Probability to ≤ 2 %, confirming robust operation under adverse climatic fluctuations. Life-cycle assessment demonstrates approximately 20 % reduction in CO2-equivalent emissions, while techno-economic analysis indicates about 15 % reduction in total energy cost relative to conventional diesel supply. The proposed configuration provides a replicable blueprint for off-grid, climate-vulnerable islands seeking reliable and low-carbon electrification pathways.
{"title":"Multi-objective optimization of hybrid renewable energy systems for sustainable resource management and emission mitigation in climate-sensitive regions","authors":"Mohammad Alhuyi Nazari , Erkaboy Davletov , Sanjarbek Madaminov , Alisher Abduvokhidov , Mohammad Hossein Ahmadi","doi":"10.1016/j.ecmx.2026.101630","DOIUrl":"10.1016/j.ecmx.2026.101630","url":null,"abstract":"<div><div>A multi-objective optimization framework is developed for designing a hybrid renewable energy system (HRES) for Hormuz Island, integrating photovoltaic, wind, lithium-ion battery, proton-exchange-membrane electrolyzer-tank-fuel-cell, and a standby diesel generator. Real meteorological and demand data are employed to minimize the Levelized Cost of Energy (LCOE) and Net Present Cost (NPC) while maximizing the Renewable Energy Fraction (REF) and system resilience. The optimization integrates multiple conflicting techno-economic and environmental objectives through a TOPSIS-guided multi-criteria framework, where a scalar closeness coefficient is used as the fitness function within the search process, without explicit Pareto-front construction. Results indicate that, compared with the diesel baseline, the optimized configuration achieves an LCOE of 0.139 USD kWh<sup>−1</sup>, a 38.6 % reduction in NPC, a REF of 87 %, and nearly 89 % GHG mitigation. The discount rate exhibits the highest sensitivity, inducing ± 14.8 % variability in NPC and ± 9.2 % in LCOE, followed by battery CAPEX (±9.5 % NPC) and PV CAPEX (±7.1 %). Resilience evaluation under 10 % PV and 20 % hydrogen-storage perturbations confine the Loss-of-Load Probability to ≤ 2 %, confirming robust operation under adverse climatic fluctuations. Life-cycle assessment demonstrates approximately 20 % reduction in CO<sub>2</sub>-equivalent emissions, while techno-economic analysis indicates about 15 % reduction in total energy cost relative to conventional diesel supply. The proposed configuration provides a replicable blueprint for off-grid, climate-vulnerable islands seeking reliable and low-carbon electrification pathways.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101630"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189856","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}
Pub Date : 2026-01-27DOI: 10.1016/j.ecmx.2026.101609
Han Zhang, Huiming Mao
With solar energy playing an increasingly crucial role in the worldwide shift toward renewable resources, a comparative two-objective optimization is performed on a two-tank solar field integrated with an organic Rankine cycle (ORC) and liquefied natural gas under three hot tank outlet temperatures of 200 C, 250 C, and 300 C. Optimization objectives include maximizing the system efficiency and minimizing the electricity production cost (EPC). The comprehensive optimization includes 8 variables, 11 working fluids, and 16 structures, with the results analyzed using the thermodynamic weight. Detailed analysis is further performed on two representative scenarios: the Equal Scenario and the Thermodynamic Scenario. The findings show that the R-ORC is preferred when thermodynamic considerations are the primary focus, whereas the B-ORC is more beneficial when the economic aspect is the main priority. At a hot tank outlet temperature of 300 C, the Equal Scenario attains 97.81% of the Thermodynamic Scenario‘s system efficiency while reducing EPC by as much as 9.35%. This result demonstrates that a slight sacrifice in thermodynamic performance could yield notable economic improvements. The condenser exhibits the highest exergy loss fraction among all components.
{"title":"Comparative optimization and exergy analysis of solar–LNG integrated Rankine cycles among different hot tank outlet temperatures","authors":"Han Zhang, Huiming Mao","doi":"10.1016/j.ecmx.2026.101609","DOIUrl":"10.1016/j.ecmx.2026.101609","url":null,"abstract":"<div><div>With solar energy playing an increasingly crucial role in the worldwide shift toward renewable resources, a comparative two-objective optimization is performed on a two-tank solar field integrated with an organic Rankine cycle (ORC) and liquefied natural gas under three hot tank outlet temperatures of 200 <span><math><msup><mrow></mrow><mrow><mo>∘</mo></mrow></msup></math></span>C, 250 <span><math><msup><mrow></mrow><mrow><mo>∘</mo></mrow></msup></math></span>C, and 300 <span><math><msup><mrow></mrow><mrow><mo>∘</mo></mrow></msup></math></span>C. Optimization objectives include maximizing the system efficiency and minimizing the electricity production cost (EPC). The comprehensive optimization includes 8 variables, 11 working fluids, and 16 structures, with the results analyzed using the thermodynamic weight. Detailed analysis is further performed on two representative scenarios: the Equal Scenario and the Thermodynamic Scenario. The findings show that the R-ORC is preferred when thermodynamic considerations are the primary focus, whereas the B-ORC is more beneficial when the economic aspect is the main priority. At a hot tank outlet temperature of 300 <span><math><msup><mrow></mrow><mrow><mo>∘</mo></mrow></msup></math></span>C, the Equal Scenario attains 97.81% of the Thermodynamic Scenario‘s system efficiency while reducing EPC by as much as 9.35%. This result demonstrates that a slight sacrifice in thermodynamic performance could yield notable economic improvements. The condenser exhibits the highest exergy loss fraction among all components.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101609"},"PeriodicalIF":7.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080072","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}
Pub Date : 2026-01-26DOI: 10.1016/j.ecmx.2026.101625
Xueting Jiang , Aditi Mankad , Walter Okelo
Sustainable aviation fuels (SAF) are critical for sustainably transitioning the aviation sector into low-carbon status depending on the type of feedstock and technology. However, studies on the key factors that drive these environmental benefits, and the effect of emerging technologies such as biomanufacturing would have on SAF production in the future are limited. Consequently, we assessed the environmental impact of bio-based SAF production and investigated the key drivers of its carbon footprint (greenhouse gas emissions), focusing on Hydroprocessed Esters and Fatty Acids (HEFA), Alcohol-to-Jet (AtJ), and Fischer-Tropsch (FT) pathways. Using Australia as a case study alongside a global benchmark, this study decomposed the life-cycle carbon footprint of SAF production into carbon intensity, energy efficiency, scalability, cost competitiveness, and industry size factors. Results reveal that the energy efficiency factor significantly reduces the SAF production carbon footprint across all three pathways. The scalability factor was a dominant challenge that greatly influenced the carbon footprint of SAF production across global scenarios, especially for HEFA and AtJ, while for Australia the effects of the scalability factor were smaller though remain a noticeable challenge for AtJ. The decomposition results in Australia resemble mostly the high- and very high- SAF production scenarios globally. Results of a sensitivity analysis suggest that biomanufacturing potentially enhances emission reductions for various SAF feedstocks in both Australia and globally, particularly for oilseed-based pathways in Australia.
{"title":"Flying green: Life cycle assessment and decomposition of bio-based sustainable aviation fuels production in Australia and global benchmarks","authors":"Xueting Jiang , Aditi Mankad , Walter Okelo","doi":"10.1016/j.ecmx.2026.101625","DOIUrl":"10.1016/j.ecmx.2026.101625","url":null,"abstract":"<div><div>Sustainable aviation fuels (SAF) are critical for sustainably transitioning the aviation sector into low-carbon status depending on the type of feedstock and technology. However, studies on the key factors that drive these environmental benefits, and the effect of emerging technologies such as biomanufacturing would have on SAF production in the future are limited. Consequently, we assessed the environmental impact of bio-based SAF production and investigated the key drivers of its carbon footprint (greenhouse gas emissions), focusing on Hydroprocessed Esters and Fatty Acids (HEFA), Alcohol-to-Jet (AtJ), and Fischer-Tropsch (FT) pathways. Using Australia as a case study alongside a global benchmark, this study decomposed the life-cycle carbon footprint of SAF production into carbon intensity, energy efficiency, scalability, cost competitiveness, and industry size factors. Results reveal that the energy efficiency factor significantly reduces the SAF production carbon footprint across all three pathways. The scalability factor was a dominant challenge that greatly influenced the carbon footprint of SAF production across global scenarios, especially for HEFA and AtJ, while for Australia the effects of the scalability factor were smaller though remain a noticeable challenge for AtJ. The decomposition results in Australia resemble mostly the high- and very high- SAF production scenarios globally. Results of a sensitivity analysis suggest that biomanufacturing potentially enhances emission reductions for various SAF feedstocks in both Australia and globally, particularly for oilseed-based pathways in Australia.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101625"},"PeriodicalIF":7.6,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080157","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}
The rapid electrification of transportation demands intelligent coordination among heterogeneous energy subsystems within electric vehicles. This research establishes an analytics-driven management framework that unites photovoltaic generation, high-energy–density lithium-ion storage, and auxiliary fuel-cell support to achieve a balanced, sustainable, and economically viable propulsion system. Focusing on an urban case study in Xi’an, China, the model integrates real-time meteorological inputs and vehicle-operation data to dynamically regulate energy flows between PV modules and battery packs. A hybrid optimization layer couples techno-economic modeling with management-level decision analytics, allowing simultaneous assessment of power efficiency, operational scheduling, and lifecycle cost performance. Results show that the coordinated PV–battery strategy enhances driving range up to 61% while lowering equivalent energy cost and mitigating peak-load stress on urban charging infrastructure. Beyond the technical gains, the framework demonstrates how data-enabled decision mechanisms can inform managerial planning for fleet electrification and urban energy resilience. The study provides actionable insights for policymakers and industry practitioners seeking integrated strategies to strengthen the economic, environmental, and managerial dimensions of electric mobility, directly supporting the United Nations Sustainable Development Goal 7 on affordable and clean energy.
{"title":"Economic and management evaluation of vehicle-mounted photovoltaic–battery systems in electric vehicles under urban operating conditions","authors":"Junfeng Niu , Nesrine Gafsi , Pooya Ghodratallah , Rabeb Younes , Mohamed Shaban , Narinderjit Singh Sawaran Singh , Amina Hamdouni","doi":"10.1016/j.ecmx.2026.101628","DOIUrl":"10.1016/j.ecmx.2026.101628","url":null,"abstract":"<div><div>The rapid electrification of transportation demands intelligent coordination among heterogeneous energy subsystems within electric vehicles. This research establishes an analytics-driven management framework that unites photovoltaic generation, high-energy–density lithium-ion storage, and auxiliary fuel-cell support to achieve a balanced, sustainable, and economically viable propulsion system. Focusing on an urban case study in Xi’an, China, the model integrates real-time meteorological inputs and vehicle-operation data to dynamically regulate energy flows between PV modules and battery packs. A hybrid optimization layer couples techno-economic modeling with management-level decision analytics, allowing simultaneous assessment of power efficiency, operational scheduling, and lifecycle cost performance. Results show that the coordinated PV–battery strategy enhances driving range up to 61% while lowering equivalent energy cost and mitigating peak-load stress on urban charging infrastructure. Beyond the technical gains, the framework demonstrates how data-enabled decision mechanisms can inform managerial planning for fleet electrification and urban energy resilience. The study provides actionable insights for policymakers and industry practitioners seeking integrated strategies to strengthen the economic, environmental, and managerial dimensions of electric mobility, directly supporting the United Nations Sustainable Development Goal 7 on affordable and clean energy.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101628"},"PeriodicalIF":7.6,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080319","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}
Pub Date : 2026-01-25DOI: 10.1016/j.ecmx.2026.101620
Md. Romzan Ali , Asif Iqbal , Abir Hassan Talukder , Md. Abdul Khaleque , Md. Ruhul Amin , Md. Ismail Hossain , Sakibul Islam , Md. Ikram Hossain , Md. Rafiul Hasan , Mohamed Aly Saad Aly , Ghada E. Khedr , Florian J. Stadler , Md. Zaved Hossain Khan
Owing to their distinctive stacked layered structure, exceptional conductivity, large specific surface area, and abundance of redox active sites, two-dimensional transition carbon nitride, and metal carbides and nitrides efficiently store and transfer charges, thus becoming attractive electrode materials for supercapacitors. MXene-based supercapacitors are, however, seriously hindered by the low specific capacitance driven by severe self-discharge behavior and poor ambient stability due to oxidation. To overcome these limitations, herein, a Mo2TiC2@PDA/MnO2 composite was synthesized to functionalize a glassy carbon electrode (GCE) surface via a two-layer modification strategy, which enabled faster charge transfer and ion diffusion within the electrode material, thus boosting the capacitive performance of Mo2TiC2 MXene. The composite’s structure and morphology were confirmed by X-ray diffraction, transmission electron microscopy, and scanning electron microscopy. Furthermore, the electrochemical behavior of the functionalized-electrodes was assessed by galvanostatic charge–discharge (GCD), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS), which all revealed that Mo2TiC2@PDA/MnO2 can be a promising electrode material for supercapacitor. The Mo2TiC2@PDA/MnO2 modified electrode delivered a high specific capacitance of 573 Fg−1 at a current density of 1 Ag−1 and demonstrated superior cycling stability with 87.43% capacitance retention over 5000 cycles. This study shows that integrating Mo2TiC2, PDA, and MnO2 can significantly improve the capacitance, stability, and eco-friendly operation in supercapacitors. However, the current work does not evaluate the performance in portable or flexible devices, and future studies may address this limitation through full-cell assembly and real-world testing. Overall, the composite provides a strong foundation for next-generation energy storage applications.
{"title":"Facile synthesis of 2D Mo2TiC2@PDA/MnO2 composite-based electrode material for clean and efficient energy storage","authors":"Md. Romzan Ali , Asif Iqbal , Abir Hassan Talukder , Md. Abdul Khaleque , Md. Ruhul Amin , Md. Ismail Hossain , Sakibul Islam , Md. Ikram Hossain , Md. Rafiul Hasan , Mohamed Aly Saad Aly , Ghada E. Khedr , Florian J. Stadler , Md. Zaved Hossain Khan","doi":"10.1016/j.ecmx.2026.101620","DOIUrl":"10.1016/j.ecmx.2026.101620","url":null,"abstract":"<div><div>Owing to their distinctive stacked layered structure, exceptional conductivity, large specific surface area, and abundance of redox active sites, two-dimensional transition carbon nitride, and metal carbides and nitrides efficiently store and transfer charges, thus becoming attractive electrode materials for supercapacitors. MXene-based supercapacitors are, however, seriously hindered by the low specific capacitance driven by severe self-discharge behavior and poor ambient stability due to oxidation. To overcome these limitations, herein, a Mo<sub>2</sub>TiC<sub>2</sub>@PDA/MnO<sub>2</sub> composite was synthesized to functionalize a glassy carbon electrode (GCE) surface via a two-layer modification strategy, which enabled faster charge transfer and ion diffusion within the electrode material, thus boosting the capacitive performance of Mo<sub>2</sub>TiC<sub>2</sub> MXene. The composite’s structure and morphology were confirmed by X-ray diffraction, transmission electron microscopy, and scanning electron microscopy. Furthermore, the electrochemical behavior of the functionalized-electrodes was assessed by galvanostatic charge–discharge (GCD), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS), which all revealed that Mo<sub>2</sub>TiC<sub>2</sub>@PDA/MnO<sub>2</sub> can be a promising electrode material for supercapacitor. The Mo<sub>2</sub>TiC<sub>2</sub>@PDA/MnO<sub>2</sub> modified electrode delivered a high specific capacitance of 573 Fg<sup>−1</sup> at a current density of 1 Ag<sup>−1</sup> and demonstrated superior cycling stability with 87.43% capacitance retention over 5000 cycles. This study shows that integrating Mo<sub>2</sub>TiC<sub>2</sub>, PDA, and MnO<sub>2</sub> can significantly improve the capacitance, stability, and eco-friendly operation in supercapacitors. However, the current work does not evaluate the performance in portable or flexible devices, and future studies may address this limitation through full-cell assembly and real-world testing. Overall, the composite provides a strong foundation for next-generation energy storage applications.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101620"},"PeriodicalIF":7.6,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080240","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}