Energy Conversion and Management最新文献

{"title":"Direct biogas methanation via renewable-based Power-to-Gas: Techno-economic assessment based on real industrial data","authors":"Emanuele Giglio ,&nbsp;Micaela Bianco ,&nbsp;Giuseppe Zanardi ,&nbsp;Enrico Catizzone ,&nbsp;Girolamo Giordano ,&nbsp;Massimo Migliori","doi":"10.1016/j.enconman.2025.119775","DOIUrl":"10.1016/j.enconman.2025.119775","url":null,"abstract":"<div><div>This paper presents a design and techno-economic assessment of different Power-to-Gas configurations based on direct biogas methanation and renewable electricity. The proposed concept integrates the anaerobic digestion of organic waste with the methanation of carbon dioxide using green hydrogen. Yearly data of an anaerobic digestion process operating at the industrial scale were considered. The methanation unit was designed through two cooled fixed-bed reactors in series; the first had 14 parallel tubes that were 2.5 m long, and the second one had 18 tubes (each one 1.5 m long). A global carbon dioxide conversion above 98 % occurs in the unit, ensuring an outlet composition suitable for injection into the natural gas distribution grid. Different options for energy storage were thus considered; hydrogen storage in pressurized tanks (‘Buffer’), electrochemical storage in batteries (‘Battery’), and a hybrid combination of the two systems (‘Hybrid’). A ≈40 MW photovoltaic park provided the required energy input. The configuration with hydrogen storage tanks was established as the most promising option based on current trends, medium-term, and target projections scenarios of capital costs. These three cost scenarios led to a synthetic natural gas (SNG) production cost range of 2.3–4.2, 1.6–2.9, and 1.1–2.0 euros per cubic meter, respectively. This configuration requires a ≈35 MW electrolysis unit and about 100 tons of hydrogen storage capacity. Considering the current methane price, results indicate that current capital costs of photovoltaics, electrolysis, and H₂ storage still represent an obstacle to overcome, before achieving the profitability of the concept.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119775"},"PeriodicalIF":9.9,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and analysis of solid oxide fuel cell-based multigeneration system with supercritical and transcritical carbon dioxide power cycles, humidification-dehumidification system and hydrogen generation","authors":"Gamze Soyturk,&nbsp;Onder Kizilkan","doi":"10.1016/j.enconman.2025.119762","DOIUrl":"10.1016/j.enconman.2025.119762","url":null,"abstract":"<div><div>This study explores the development and performance evaluation of an innovative solid oxide fuel cell-based multigeneration system designed to enhance energy efficiency and facilitate hydrogen production. The system integrates advanced thermodynamic cycles, including a recompression supercritical carbon dioxide Brayton cycle, a reheat transcritical carbon dioxide Rankine cycle, a humidification and dehumidification unit, and a hydrogen production subsystem. The supercritical carbon dioxide Brayton cycle improves energy recovery by utilizing waste heat, while the reheat transcritical carbon dioxide Rankine cycle enhances thermal efficiency. Additionally, the humidification and dehumidification unit provide a novel approach to sustainable water production. Energy and exergy analyses indicate that the solid oxide fuel cell generates a net power output of 420.8 kW with an exergy efficiency of 53.88 %. Waste heat recovery from the supercritical carbon dioxide Brayton cycle and reheat transcritical carbon dioxide Rankine cycle contributes 32.74 kW and 7.636 kW, respectively. The humidification and dehumidification unit achieves a distilled water production rate of 23.62 kg/h, while the proton exchange membrane electrolyzer produces hydrogen at 0.7935 kg/h with an energetic efficiency of 61.96 %. Parametric studies assess the influence of solid oxide fuel cell inlet temperature, current density, and fuel utilization factor on system performance, revealing that efficiency and hydrogen production peak under moderate operating conditions. However, extreme conditions lead to increased irreversibilities and performance degradation. Exergy destruction analysis identifies the solid oxide fuel cell as the dominant source of system inefficiencies, contributing 531.8 kW (83.4 % of total irreversibilities), emphasizing the need for targeted design optimizations. The findings highlight the potential of the proposed multigeneration system to efficiently integrate power, hydrogen, and water production while optimizing energy utilization and sustainability.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119762"},"PeriodicalIF":9.9,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760483","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}

{"title":"Mass, carbon and energy balances of thermochemical processes for digestate valorization","authors":"Rémi Demol ,&nbsp;Mohamed H. Aissaoui ,&nbsp;Paola Gauthier-Maradei ,&nbsp;Cecilia Sambusiti ,&nbsp;Jasmine Hertzog ,&nbsp;Vincent Carré ,&nbsp;Anthony Dufour","doi":"10.1016/j.enconman.2025.119759","DOIUrl":"10.1016/j.enconman.2025.119759","url":null,"abstract":"<div><div>The aim of this study was to evaluate the valorization of digestate collected from a collective biogas plant. Raw digestate was converted by a hydrothermal process by using a fast-heating induction autoclave. Raw digestate was alternatively dewatered by a screw press (from 96.3 to 84 wt%_{raw basis} of water content), dried and then converted by fast pyrolysis, steam gasification, and combustion (in a fluidized bed reactor at 500–900 °C) and slow pyrolysis (at 400–800 °C). The products (gas, liquid and char) were thoroughly analyzed. Surrogate molecules were defined based on high resolution mass spectrometry analysis in order to better describe the complex liquid oils. The experimental results were modeled under Aspen Plus to assess the mass, carbon and energy balances of all these processes. Most of carbon (79 wt%) and organic matter present in raw digestate remained in the liquid phase after screw press separation. Therefore, the hydrothermal conversion converts a much higher yield of organic matter because it does not require a mechanical dewatering of digestate. The energy efficiencies for all the thermochemical processes were quantified as a function of the dewatering step and the thermochemical conditions (temperature, residence time, etc.). The heat required to dry the solid fraction of the digestate (prior to its dry thermochemical conversion) can be produced by the biogas generated by the anaerobic digestion.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119759"},"PeriodicalIF":9.9,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid pitch point absorber wave energy converter: Concepts and laboratory measurements","authors":"Maryam Ahmadi-Mousavi,&nbsp;Morteza Kolahdoozan,&nbsp;Babak Khorsandi","doi":"10.1016/j.enconman.2025.119756","DOIUrl":"10.1016/j.enconman.2025.119756","url":null,"abstract":"<div><div>This study introduces a novel hybrid wave energy converter which combines heave and pitch mechanisms, designed for enhanced energy capture efficiency. This device can harness potential and kinetic energy of waves simultaneously. Experiments were carried out in a wave tank to evaluate the performance of this hybrid wave energy converter in a wide range of wave conditions in the laboratory. The experimental setup included a 1:20 and 1:40 scale model of the hybrid wave energy converter, with measurements taken for parameters such as free surface elevation, velocity, vertical displacement, vertical force, and rotation. The results demonstrated that the combination of heave and pitch motions significantly amplified the vertical forces and motion amplitudes experienced by the wave energy converter, especially at applied wave characteristics used in the current study. Quantitatively comparing, the combined heave and pitch mechanism outperformed the individual heave and pitch mechanisms. The computed energy obtained from the hybrid pitch point absorber was 1.1 and 9.5 times that of heave and pitch motions, respectively. This hybrid wave energy converter is superior compared to traditional heave or pitch converters, indicating its potential for practical energy production in ocean applications. Our findings indicate that the hybrid pitch point absorber wave energy converter can offer a better technique for efficient wave energy conversion, hence improving renewable energy technologies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119756"},"PeriodicalIF":9.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747302","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}

{"title":"Economic analysis and optimization of an integrated biodiesel and hydrogen production plant","authors":"Kevin Mitsuhiro Omori ,&nbsp;Cláudia Jéssica da Silva Cavalcanti ,&nbsp;Mauro Antonio da Silva Sá Ravagnani ,&nbsp;Leandro Vitor Pavão ,&nbsp;Caliane Bastos Borba Costa","doi":"10.1016/j.enconman.2025.119755","DOIUrl":"10.1016/j.enconman.2025.119755","url":null,"abstract":"<div><div>The urge to decelerate global warming and climate change has promoted the development and increase in biofuel production. Glycerol is obtained as a byproduct from transesterification, the main chemical route for biodiesel production. With the increased production of biodiesel, glycerol has become oversupplied. Producing hydrogen from glycerol steam reforming could be an alternative for glycerol disposal and for increasing the profitability of the biodiesel industry with a high-value-added product. Thus, the present work performed a techno-economic analysis of an integrated biodiesel and hydrogen production plant. Three plant designs were considered for this analysis: standalone biodiesel production and biodiesel production integrated with glycerol steam reforming, utilizing either amine absorption or pressure swing adsorption for hydrogen purification. The three designs were compared for net present value for some plant capacities, hydrogen cost, and tax incidence. Considering a biodiesel industry with 5 t/h capacity, the hydrogen produced presented costs of 4.62 USD/kg and 5.51 USD/kg for absorption and adsorption, respectively. If additional glycerol were purchased and processed, hydrogen cost could be reduced to 3.85 USD/kg and 4.47 USD/kg, resulting in an increase of 93 % and 45 % in the net present value for hydrogen price at 5.00 USD/kg when compared with biodiesel standalone production. Glycerol steam reforming improved the biodiesel industry’s profitability, especially when processing externally sourced glycerol.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119755"},"PeriodicalIF":9.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747301","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}

{"title":"Energy dispatch optimization at Controlled Environment Agriculture sites with CHP: How energy utilization, storage, and market exports impact operational costs","authors":"Jacob C. Seiler,&nbsp;Gregory Pavlak,&nbsp;James D. Freihaut","doi":"10.1016/j.enconman.2025.119743","DOIUrl":"10.1016/j.enconman.2025.119743","url":null,"abstract":"<div><div>Controlled Environment Agriculture (CEA) offers sustainable solutions for the food industry but faces significant financial and environmental challenges due to high energy demands. Combined Heat and Power (CHP) systems, enhanced with technologies like thermal and battery storage, absorption cooling, and carbon capture, can improve efficiency and performance of CEA facilities. In smart grid applications, CHP also enhances grid reliability and resiliency as a dispatchable energy resource. The role of CHP as a dual source of energy and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> in CEA remains underexplored, particularly in terms of optimizing energy dispatch across multiple storage and utilization technologies to balance operational costs and environmental impacts. This paper presents a multi-objective mixed-integer linear program for optimizing energy dispatch at CEA sites, incorporating CHP and auxiliary technologies. A case study of a modeled 25-acre tomato greenhouse evaluates cost-optimized scenarios across different technology combinations. Furthermore, the analysis examines market participation by varying electricity export capabilities and market price factors. Results show that thermal energy storage for heating delivers superior performance compared to other auxiliary technologies. Integrating CHP and thermal storage reduces energy procurement costs by 18.94% and operational emissions (scope 1 &amp; 2) by 24.34% compared to baseline technologies. Moreover, market participation in a scenario with CHP, thermal storage, and batteries demonstrates the potential to generate revenue and reduce net costs by 7.05% compared to scenarios without electricity exports. This study offers the CEA industry a comprehensive approach to evaluating and optimally integrating CHP with auxiliary technologies to reduce costs, lower emissions, and explore opportunities for energy market participation.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119743"},"PeriodicalIF":9.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744685","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}

{"title":"Enhancing energy efficiency in fluid machinery: Analytical modeling of conjugate profiles for energy-losses aware design","authors":"Massimiliano Muccillo,&nbsp;Ottavio Pennacchia,&nbsp;Francesco Tufano","doi":"10.1016/j.enconman.2025.119719","DOIUrl":"10.1016/j.enconman.2025.119719","url":null,"abstract":"<div><div>This paper introduces a novel methodology for deriving closed-form expressions of conjugate curves to enhance the energy efficiency of fluid machinery via geometric optimization. Conjugate curves not only enable the definition of new rotor profiles mitigating internal losses in rotary positive displacement machines, but also support the design of tribological contacts to reduce external losses. Traditional methods for deriving conjugate profiles face significant challenges due to the non-linearity of equations based on envelope theory and often lack general applicability. This research introduces a systematic methodology for designing conjugate profiles, proposing a novel generalized approach for calculating closed-form expressions of conjugate curves by leveraging the properties of instant centers of rotation. This approach provides a general framework applicable across a wide range of systems. The proposed methodology was applied to design a new rotor with hyperbolic lobes, improving area efficiency of a roots type positive displacement machine to 47.33% (compared to 45.18% achieved using traditional circular-lobe rotors). Additionally, a new mechanical Variable Valve Actuation (VVA) system for motorcycle engines was developed, with kinematic analysis confirming a variable maximum valve lift from 10.7 mm to 0.5 mm. Frictional power dissipation within the VVA system was also evaluated, peaking at 1.7 <span><math><mrow><mi>k</mi><mi>W</mi></mrow></math></span> (average 0.228 <span><math><mrow><mi>k</mi><mi>W</mi></mrow></math></span>) at 9500 <span><math><mrow><mi>r</mi><mi>p</mi><mi>m</mi></mrow></math></span>, with 88.65% of losses attributed to the cam–auxiliary rocker arm interface. To mitigate these losses, the auxiliary rocker arm was re-engineered to integrate a roller cam follower mechanism. Through this improvement, the average frictional power dissipation dropped from 0.228 <span><math><mrow><mi>k</mi><mi>W</mi></mrow></math></span> to about 0.017 <span><math><mrow><mi>k</mi><mi>W</mi></mrow></math></span>. Furthermore, results revealed that the re-designed VVA system demonstrated a reduction in frictional losses of approximately 0.072 <span><math><mrow><mi>k</mi><mi>W</mi></mrow></math></span> compared to a conventional valvetrain. Overall, this approach provides a broadly applicable framework for improving energy efficiency in fluid machinery by systematically refining geometric parameters.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119719"},"PeriodicalIF":9.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ISI Net: A novel paradigm integrating interpretability and intelligent selection in ensemble learning for accurate wind power forecasting","authors":"Bingjie Liang ,&nbsp;Zhirui Tian","doi":"10.1016/j.enconman.2025.119752","DOIUrl":"10.1016/j.enconman.2025.119752","url":null,"abstract":"<div><div>As a clean energy source, wind energy can effectively alleviate the energy crisis and reduce environmental pollution. Accurate wind power forecasting can promote the rapid development of the wind power industry. Ensemble learning is a widely used wind power forecasting method, but existing ensemble learning methods do not explain the weights of sub models, and there is no accurate basis for the selection of sub models. To address these issues, the study proposes a novel neural network paradigm that integrates intelligent selection and interpretability (ISI Net) for wind power forecasting. The proposed framework is divided into three modules. In the data preprocessing module, Grey Relational Analysis (GRA) is used for feature selection to avoid increasing training difficulty and complexity due to excessive features. Variational Mode Decomposition (VMD) is used for data denoising, and Hampel identifier (HI) is used for outlier processing. In the ISI Net module, basic models in the model pool are predicted and the prediction results are recorded. A parallel dual channel architecture is designed to achieve intelligent selection and interpretability of models, and to obtain interpretable model weights and intelligent selection results simultaneously. In the ensemble learning module, learning ensemble is performed on the model prediction results automatically selected using ISI Net, effectively capturing the nonlinear features of models. We validated our paradigm six times using four datasets from different regions. The experimental results showed that ISI Net can accurately assign weights to various models in the model pool for interpretability, and the ensemble effect of the models after intelligent selection was better than that without intelligent selection on all datasets. The advantage of learning ensemble in effectively extracting nonlinear features is superior to direct ensemble and linear ensemble. And a complexity analysis was conducted on each sub module of the entire framework, demonstrating the applicability and effectiveness of the paradigm.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119752"},"PeriodicalIF":9.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744853","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}

{"title":"Advancing paper-based microfluidic ethanol fuel cells with gel-assisted dual electrolytes: A step towards scalable power solutions","authors":"S. Baruah ,&nbsp;A. Kumar ,&nbsp;N.R. Peela","doi":"10.1016/j.enconman.2025.119767","DOIUrl":"10.1016/j.enconman.2025.119767","url":null,"abstract":"<div><div>Paper-based microfluidic fuel cells are steadily emerging as alternative energy sources due to their simplicity, affordability, and independence from auxiliary equipment. However, some studies have reported low maximum power density and open circuit voltage in alcohol fuel cells, primarily due to mixed potentials caused by simultaneous oxidation and reduction of reactants on the same electrode surface. To address these challenges, a novel gel-assisted dual-electrolyte configuration was developed for paper-based microfluidic ethanol fuel cells. By incorporating an ion-conducting hydrogel between independent cathode and anode, this design achieved a remarkable open circuit voltage of 1.18 V. Systematic optimization revealed that the properties of paper channels, such as pore size and fluid flow rates, are critical factors in enhancing performance. Paper with larger pore sizes facilitated higher fluid flow rates, which, in turn enhanced ion transport, and significantly improved both power density and overall efficiency. By employing a dual-electrolyte system i.e. electro-oxidation of ethanol in an alkaline environment with the reduction of potassium dichromate in an acidic medium, this optimized approach yielded an impressive current density of ∼31 mA cm⁻² with a maximum power density of 4.47 mW cm⁻². Moreover, the cell demonstrated exceptional durability and instant reactivation upon refueling, making it practical for real-world applications. The scalability of these cells was further demonstrated by connecting multiple cells in series, making them capable of powering diverse electronic devices with varying power requirements. This optimization approach thus set a new trajectory for advancing the field towards real-world implementations.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119767"},"PeriodicalIF":9.9,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734559","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}

{"title":"Water–energy–carbon nexus of China’s Yellow River water allocation schemes","authors":"Jiawei Li ,&nbsp;Jinxu Han ,&nbsp;Qiting Zuo ,&nbsp;Mengjin Guo ,&nbsp;Saige Wang ,&nbsp;Lei Yu","doi":"10.1016/j.enconman.2025.119761","DOIUrl":"10.1016/j.enconman.2025.119761","url":null,"abstract":"<div><div>Water allocation in rivers that cross borders is of critical concern in the field of water resource management. However, the interactions between water allocation, energy consumption, and carbon emissions have been traditionally overlooked in the design of water allocation strategies. In this paper, a GIS-based transboundary water–energy–carbon nexus accounting framework is developed to assess the carbon emissions associated with water extraction in transboundary rivers. Taking the Yellow River in China as a case study, the carbon emissions during 1998–2020 associated with three water allocation schemes are quantified. Then, future emissions for 2060 are projected using 21 different scenarios incorporating 3 emission-reduction strategies: thermal power efficiency improvements, clean energy utilization, and carbon capture and storage coupled with three water allocation schemes. The findings indicate substantial carbon emissions (2.41 × 10⁸ t) associated with water extraction from transboundary rivers during 1998–2020, which could be reduced by 90 % through improved energy system and water allocation schemes. By building a new framework, this study promotes quantitative coordination and allocation of transboundary river water resources, energy usage, and carbon emissions, thereby providing insights for transboundary river management.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119761"},"PeriodicalIF":9.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725721","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}