Pub Date : 2026-02-10DOI: 10.1016/j.enconman.2026.121176
Arjun Bopaiah, Rory F.D. Monaghan
Heavy-duty trucks are a significant contributor to transport emissions. The transition from diesel to zero- or low-carbon renewable energy is a promising solution to decarbonising trucks. It remains unclear which low-carbon emission powertrain types are techno-economically competitive with diesel powertrains. This work conducts a comprehensive techno-economic and environmental analysis of four zero- or low-carbon emission powertrains: (1) battery electric vehicle, (2) fuel cell electric vehicle with onboard gaseous hydrogen storage, (3) fuel cell electric vehicle with onboard liquid hydrogen storage, and (4) gaseous hydrogen fuelled internal combustion engine vehicle. The total cost of ownership, well-to-wheel greenhouse gas emissions and the total cost of carbon abatement are evaluated for each truck type. The hourly electricity/hydrogen demand for trucks is met by modelling three different energy supply scenarios: (a) grid electricity, (b) wind, and (c) hybrid, which is a combination of wind and grid electricity compliant with the Renewable Energy Directive II. The results show that the most cost-effective zero- or low-emission trucking choice strongly depends on the energy supply scenario, large-scale stationary energy storage costs and the required driving distance of the trucks before refuelling/recharging. Battery electric vehicles are the most cost-effective trucking choice for required driving distances <600km/day in the hybrid scenario. The cost of operating battery electric vehicles increases sharply with driving distances ≥600km/day, and a fuel cell electric vehicle with onboard gaseous hydrogen storage provides the lowest ownership and carbon abatement costs in the hybrid scenario. The sensitivity analysis showed that higher truck fuel economy and deploying en-route refuelling stations improved the cost competitiveness of heavy-duty trucks. The findings from this study show that there is no one-size-fits-all solution, and both battery and hydrogen trucks have a role in decarbonising trucks.
{"title":"Transitioning towards sustainable trucking: Assessing environmental-economic suitability of alternative fuels for long-haul, heavy-duty transport","authors":"Arjun Bopaiah, Rory F.D. Monaghan","doi":"10.1016/j.enconman.2026.121176","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121176","url":null,"abstract":"Heavy-duty trucks are a significant contributor to transport emissions. The transition from diesel to zero- or low-carbon renewable energy is a promising solution to decarbonising trucks. It remains unclear which low-carbon emission powertrain types are techno-economically competitive with diesel powertrains. This work conducts a comprehensive techno-economic and environmental analysis of four zero- or low-carbon emission powertrains: (1) battery electric vehicle, (2) fuel cell electric vehicle with onboard gaseous hydrogen storage, (3) fuel cell electric vehicle with onboard liquid hydrogen storage, and (4) gaseous hydrogen fuelled internal combustion engine vehicle. The total cost of ownership, well-to-wheel greenhouse gas emissions and the total cost of carbon abatement are evaluated for each truck type. The hourly electricity/hydrogen demand for trucks is met by modelling three different energy supply scenarios: (a) grid electricity, (b) wind, and (c) hybrid, which is a combination of wind and grid electricity compliant with the Renewable Energy Directive II. The results show that the most cost-effective zero- or low-emission trucking choice strongly depends on the energy supply scenario, large-scale stationary energy storage costs and the required driving distance of the trucks before refuelling/recharging. Battery electric vehicles are the most cost-effective trucking choice for required driving distances <mml:math altimg=\"si5.svg\"><mml:mrow><mml:mo><</mml:mo><mml:mn>600</mml:mn><mml:mspace width=\"0.166667em\"></mml:mspace><mml:mi mathvariant=\"normal\">k</mml:mi><mml:mi mathvariant=\"normal\">m</mml:mi><mml:mo stretchy=\"true\">/</mml:mo><mml:mi mathvariant=\"normal\">d</mml:mi><mml:mi mathvariant=\"normal\">a</mml:mi><mml:mi mathvariant=\"normal\">y</mml:mi></mml:mrow></mml:math> in the hybrid scenario. The cost of operating battery electric vehicles increases sharply with driving distances <mml:math altimg=\"si6.svg\"><mml:mrow><mml:mo>≥</mml:mo><mml:mn>600</mml:mn><mml:mspace width=\"0.166667em\"></mml:mspace><mml:mi mathvariant=\"normal\">k</mml:mi><mml:mi mathvariant=\"normal\">m</mml:mi><mml:mo stretchy=\"true\">/</mml:mo><mml:mi mathvariant=\"normal\">d</mml:mi><mml:mi mathvariant=\"normal\">a</mml:mi><mml:mi mathvariant=\"normal\">y</mml:mi></mml:mrow></mml:math>, and a fuel cell electric vehicle with onboard gaseous hydrogen storage provides the lowest ownership and carbon abatement costs in the hybrid scenario. The sensitivity analysis showed that higher truck fuel economy and deploying en-route refuelling stations improved the cost competitiveness of heavy-duty trucks. The findings from this study show that there is no one-size-fits-all solution, and both battery and hydrogen trucks have a role in decarbonising trucks.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"124 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1016/j.enconman.2026.121187
Yang Yu, Zhipeng Zhang, Binjian Nie, Nan He, Qicheng Chen, Zhihui Wang, Liang Yao
In concentrated solar thermochemical cycles, CO2 utilization enables both energy storage and release. However, the high energy consumption associated with CO2 compression has limited the overall performance of solar power generation. In this work, an energy storage system coupling thermochemical and electrochemical cycles is proposed. This system constructs a “heat storage − electricity storage − electricity release − heat release” closed-loop path for the multi-functional utilization of CO2, achieving efficient and low-cost green power production. Energy analysis showed that the thermoelectric cycle coupling enabled the thermochemical subsystem to achieve a round-trip efficiency of 37.78 %, which represented a relative increase of 9.54 % compared to the conventional thermochemical system. Furthermore, the peak round-trip efficiency of the electrochemical subsystem is 74.70 %. The hybrid system achieved a maximum round-trip efficiency of 52.28%. Exergy analysis revealed that the thermochemical subsystem achieved an exergy efficiency of 41.55 %. The hybrid system achieved an exergy efficiency of 53.47%, with a relative increase of 28.69 %. Economic analysis showed that the hybrid system achieved the levelized cost of 94.55 $/MWh, representing a reduction of 40.42 % compared to the conventional thermochemical storage system. Therefore, this hybrid system has great potential for the multi-functional utilization of CO2.
{"title":"Constructing a novel closed-loop and efficient pathway for multi-functional CO2 utilization in concentrated solar power systems","authors":"Yang Yu, Zhipeng Zhang, Binjian Nie, Nan He, Qicheng Chen, Zhihui Wang, Liang Yao","doi":"10.1016/j.enconman.2026.121187","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121187","url":null,"abstract":"In concentrated solar thermochemical cycles, CO<ce:inf loc=\"post\">2</ce:inf> utilization enables both energy storage and release. However, the high energy consumption associated with CO<ce:inf loc=\"post\">2</ce:inf> compression has limited the overall performance of solar power generation. In this work, an energy storage system coupling thermochemical and electrochemical cycles is proposed. This system constructs a “heat storage − electricity storage − electricity release − heat release” closed-loop path for the multi-functional utilization of CO<ce:inf loc=\"post\">2</ce:inf>, achieving efficient and low-cost green power production. Energy analysis showed that the thermoelectric cycle coupling enabled the thermochemical subsystem to achieve a round-trip efficiency of 37.78 %, which represented a relative increase of 9.54 % compared to the conventional thermochemical system. Furthermore, the peak round-trip efficiency of the electrochemical subsystem is 74.70 %. The hybrid system achieved a maximum round-trip efficiency of 52.28%. Exergy analysis revealed that the thermochemical subsystem achieved an exergy efficiency of 41.55 %. The hybrid system achieved an exergy efficiency of 53.47%, with a relative increase of 28.69 %. Economic analysis showed that the hybrid system achieved the levelized cost of 94.55 $/MWh, representing a reduction of 40.42 % compared to the conventional thermochemical storage system. Therefore, this hybrid system has great potential for the multi-functional utilization of CO<ce:inf loc=\"post\">2</ce:inf>.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"51 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1016/j.enconman.2026.121165
Mohammad Saeid Atabaki, Helge Averfalk, Kristian Widén, Erik Möllerström, Henrik Gadd, Urban Persson
The future energy systems dominated by variable renewable energy sources require system flexibility for balancing fluctuating supply and demand. This study is motivated by the need to investigate how sector coupling between the power and district heating sectors can enhance flexibility. It is hypothesised that a partially disaggregated sector-coupling approach can efficiently capture interactions between energy generation, conversion, and storage technologies. A mathematical optimisation framework is developed to analyse cost-optimal and environmentally benign energy system transitions in Sweden up to 2050. The model accounts for the ten largest Swedish district heating systems integrated within the national power system. Results reveal that wind turbines, with a 56% share, supported by electricity storage dominate electricity generation in 2050. Electricity storage enables demand to be met with 7% lower installed power generation capacity. The resulting generation mix drives a shift in district heating supply, with the heat generation share of combined heat and power plants declining to 24% and that of heat pumps increasing to 61% by 2050. Seasonal thermal storage systems play an important role in this shift, supplying 11% of district heating demand. However, transitions towards low-temperature district heating reduce the seasonal storage share while further favouring heat pumps (up to 80% of heat generation). Increased availability of stable waste heat for direct district heating supply also diminishes the role of seasonal heat storage. Overall, the results highlight that district heating provides a flexibility service for the energy system, but multiple flexibility solutions are needed to fully exploit electricity oversupply.
{"title":"Optimising the transition of Swedish energy systems through sector coupling of power and district heating","authors":"Mohammad Saeid Atabaki, Helge Averfalk, Kristian Widén, Erik Möllerström, Henrik Gadd, Urban Persson","doi":"10.1016/j.enconman.2026.121165","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121165","url":null,"abstract":"The future energy systems dominated by variable renewable energy sources require system flexibility for balancing fluctuating supply and demand. This study is motivated by the need to investigate how sector coupling between the power and district heating sectors can enhance flexibility. It is hypothesised that a partially disaggregated sector-coupling approach can efficiently capture interactions between energy generation, conversion, and storage technologies. A mathematical optimisation framework is developed to analyse cost-optimal and environmentally benign energy system transitions in Sweden up to 2050. The model accounts for the ten largest Swedish district heating systems integrated within the national power system. Results reveal that wind turbines, with a 56% share, supported by electricity storage dominate electricity generation in 2050. Electricity storage enables demand to be met with 7% lower installed power generation capacity. The resulting generation mix drives a shift in district heating supply, with the heat generation share of combined heat and power plants declining to 24% and that of heat pumps increasing to 61% by 2050. Seasonal thermal storage systems play an important role in this shift, supplying 11% of district heating demand. However, transitions towards low-temperature district heating reduce the seasonal storage share while further favouring heat pumps (up to 80% of heat generation). Increased availability of stable waste heat for direct district heating supply also diminishes the role of seasonal heat storage. Overall, the results highlight that district heating provides a flexibility service for the energy system, but multiple flexibility solutions are needed to fully exploit electricity oversupply.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"34 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-09DOI: 10.1016/j.enconman.2026.121168
Nicolaas Engelbrecht, Herald W. Ambrose, Mads U. Sieborg, Michael V.W. Kofoed
Biomethane (CH4) production from green hydrogen (H2) is a renewable replacement for fossil natural gas. As in the case of other hydrogenation reactions, the methanation of CO2 for biomethane production is an exothermic process, which produces heat equivalent to 23% of the converted H2′s heating value (HHV). During the scaling and advancement of technology readiness of trickle-bed biomethanation, exothermic heat production has become apparent and needs addressing via suitable experimental development to achieve stable thermal operation. This work presents the integration of an internal heat exchanger into a pilot-scale trickle-bed reactor for the biomethanation of raw biogas as CO2 source. Without heat integration, the performance of the reactor tested was limited to a specific CH4 productivity of 6.9 NLCH4 LR-1 d-1, with a severe axial temperature gradient not optimal for stable thermal operation. With the active use of the heat exchanger and a feed gas pre-heating stage, the CH4 productivity was enhanced up to 13.4 NLCH4 LR-1 d-1, with a much smaller temperature gradient (48–71°C). In the future, other external off-takers that utilize the produced reaction heat will contribute to higher overall biomethanation efficiencies. This paper therefore also presents three energy balance scenarios (i.e. theoretical, pilot experimental, and future industry-scale) that exemplify the requirements and opportunities of heat-integrated biomethanation.
{"title":"Heat integration aspects of exothermic biomethanation ─ A pilot reactor with shell-and-tube heat exchange capability","authors":"Nicolaas Engelbrecht, Herald W. Ambrose, Mads U. Sieborg, Michael V.W. Kofoed","doi":"10.1016/j.enconman.2026.121168","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121168","url":null,"abstract":"Biomethane (CH<ce:inf loc=\"post\">4</ce:inf>) production from green hydrogen (H<ce:inf loc=\"post\">2</ce:inf>) is a renewable replacement for fossil natural gas. As in the case of other hydrogenation reactions, the methanation of CO<ce:inf loc=\"post\">2</ce:inf> for biomethane production is an exothermic process, which produces heat equivalent to 23% of the converted H<ce:inf loc=\"post\">2</ce:inf>′s heating value (HHV). During the scaling and advancement of technology readiness of trickle-bed biomethanation, exothermic heat production has become apparent and needs addressing via suitable experimental development to achieve stable thermal operation. This work presents the integration of an internal heat exchanger into a pilot-scale trickle-bed reactor for the biomethanation of raw biogas as CO<ce:inf loc=\"post\">2</ce:inf> source. Without heat integration, the performance of the reactor tested was limited to a specific CH<ce:inf loc=\"post\">4</ce:inf> productivity of 6.9 NL<ce:inf loc=\"post\">CH4</ce:inf> L<ce:inf loc=\"post\">R</ce:inf><ce:sup loc=\"post\">-1</ce:sup> d<ce:sup loc=\"post\">-1</ce:sup>, with a severe axial temperature gradient not optimal for stable thermal operation. With the active use of the heat exchanger and a feed gas pre-heating stage, the CH<ce:inf loc=\"post\">4</ce:inf> productivity was enhanced up to 13.4 NL<ce:inf loc=\"post\">CH4</ce:inf> L<ce:inf loc=\"post\">R</ce:inf><ce:sup loc=\"post\">-1</ce:sup> d<ce:sup loc=\"post\">-1</ce:sup>, with a much smaller temperature gradient (48–71°C). In the future, other external off-takers that utilize the produced reaction heat will contribute to higher overall biomethanation efficiencies. This paper therefore also presents three energy balance scenarios (i.e. theoretical, pilot experimental, and future industry-scale) that exemplify the requirements and opportunities of heat-integrated biomethanation.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"59 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-09DOI: 10.1016/j.enconman.2026.121175
Nur Amilya Zainul Asri, Mohammad Shaheer Akhtar, Seung Beop Lee
This work presents a simulation-driven, constraint-aware optimization framework for the systematic design of crystalline silicon solar cells. The proposed framework integrates automated large-scale device simulation with explicit feasibility filtering and objective-function evaluation to identify optimal design configurations within a predefined parameter space. A high-resolution simulation dataset comprising 14,641 design cases was generated using PC1D to capture performance trends with respect to key structural and electrical parameters. The optimal configuration identified through the proposed workflow achieved a conversion efficiency of 29.39% under the specified simulation conditions. To assess robustness, a subset of corresponding cases was independently evaluated using SCAPS, demonstrating consistent convergence to the same optimal design and confirming trend-level agreement across different simulation environments. It is emphasized that the proposed framework is demonstrated and validated exclusively for crystalline silicon solar cells in this study. The reported performance values represent deterministic simulation outcomes dependent on simulator assumptions, and experimental fabrication-level validation is required for practical deployment. The term “large-scale dataset” refers to a high-resolution simulation-driven design-space exploration rather than a machine-learning-scale dataset. Accordingly, the framework should be interpreted as a decision-support and trend-based optimization tool that can guide device-level design prior to fabrication, rather than as an absolute predictor of real-world performance or a turnkey solution for immediate deployment.
{"title":"Big data-driven optimization framework for solar cell design","authors":"Nur Amilya Zainul Asri, Mohammad Shaheer Akhtar, Seung Beop Lee","doi":"10.1016/j.enconman.2026.121175","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121175","url":null,"abstract":"This work presents a simulation-driven, constraint-aware optimization framework for the systematic design of crystalline silicon solar cells. The proposed framework integrates automated large-scale device simulation with explicit feasibility filtering and objective-function evaluation to identify optimal design configurations within a predefined parameter space. A high-resolution simulation dataset comprising 14,641 design cases was generated using PC1D to capture performance trends with respect to key structural and electrical parameters. The optimal configuration identified through the proposed workflow achieved a conversion efficiency of 29.39% under the specified simulation conditions. To assess robustness, a subset of corresponding cases was independently evaluated using SCAPS, demonstrating consistent convergence to the same optimal design and confirming trend-level agreement across different simulation environments. It is emphasized that the proposed framework is demonstrated and validated exclusively for crystalline silicon solar cells in this study. The reported performance values represent deterministic simulation outcomes dependent on simulator assumptions, and experimental fabrication-level validation is required for practical deployment. The term “large-scale dataset” refers to a high-resolution simulation-driven design-space exploration rather than a machine-learning-scale dataset. Accordingly, the framework should be interpreted as a decision-support and trend-based optimization tool that can guide device-level design prior to fabrication, rather than as an absolute predictor of real-world performance or a turnkey solution for immediate deployment.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"1 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-08DOI: 10.1016/j.enconman.2026.121148
Roman Korab, Marcin Połomski, Marcin Smołka, Tomasz Naczyński
{"title":"Impact of distributed battery energy storage controlled by optimization-based home energy management systems implementing various objective functions on the voltage profiles in the low-voltage network with a high saturation of prosumer photovoltaic micro-installations","authors":"Roman Korab, Marcin Połomski, Marcin Smołka, Tomasz Naczyński","doi":"10.1016/j.enconman.2026.121148","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121148","url":null,"abstract":"","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"45 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-07DOI: 10.1016/j.enconman.2026.121163
Qingyu Yang, Tao Yang, Wenqiang Zhang, Jun Shen
{"title":"Experimental and numerical investigations of water–ice phase change under non-uniform cold source configurations","authors":"Qingyu Yang, Tao Yang, Wenqiang Zhang, Jun Shen","doi":"10.1016/j.enconman.2026.121163","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121163","url":null,"abstract":"","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"90 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.enconman.2026.121143
Ravi Anant Kishore, Jason Woods, Yana Galazutdinova, Monica Cook, Said Al-Hallaj, Kyle Foster, Ramin Faramarzi
{"title":"Experimental characterization and analysis of phase change material-based thermal energy storage system for refrigerated display case","authors":"Ravi Anant Kishore, Jason Woods, Yana Galazutdinova, Monica Cook, Said Al-Hallaj, Kyle Foster, Ramin Faramarzi","doi":"10.1016/j.enconman.2026.121143","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121143","url":null,"abstract":"","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"144 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1016/j.enconman.2026.121171
Zichang Che, Sihong Cheng, Wenbo Zhang, Yi Xing, Wei Su
{"title":"Operational optimization for joint carbon emissions reduction and SO2 removal in semi-dry flue gas desulfurization","authors":"Zichang Che, Sihong Cheng, Wenbo Zhang, Yi Xing, Wei Su","doi":"10.1016/j.enconman.2026.121171","DOIUrl":"https://doi.org/10.1016/j.enconman.2026.121171","url":null,"abstract":"","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"9 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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