Energy nexus最新文献

{"title":"Willingness to switch to green irrigation energy: A case study of farmers in the lower great plains of the United States","authors":"Vincent Amanor-Boadu ,&nbsp;Mary C. Hill ,&nbsp;James Bloodgood","doi":"10.1016/j.nexus.2025.100541","DOIUrl":"10.1016/j.nexus.2025.100541","url":null,"abstract":"<div><div>This study evaluated the characteristics of farmers that influenced their willingness to switch to green irrigation energy to reduce CO₂ emissions using primary data on 105 irrigators operating in the lower U.S. Great Plains. It also sought to determine the effect of their switch on their CO₂ emissions. The farmers used electricity, natural gas, diesel, and propane as their irrigation energy, and the proposed green energy was defined to produce zero CO₂ and included on-farm generated wind and solar energy or grid electricity not generated with fossil feedstock. The study found that younger farmers with fewer irrigated acreage, a positive perspective about green energy, about 20-30 years’ experience, and lower irrigation energy costs were the most likely to switch. Using the Second-Generation p-Value approach, we were able to show that the data did support the alternative hypotheses and produced very low false discovery rates. The study showed CO₂ emission savings of about three-quarters of current total emissions if all 75% irrigators who indicated a willingness to switch actually do switch to green energy. The inferential power of a case study is limited. Therefore, it is suggested that given the importance of these findings, a future study based on a representative sample be conducted to test these results and providing more confident direction to policymakers as they continue to find ways to help agriculture reduce its carbon footprint.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100541"},"PeriodicalIF":9.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel peer-to-peer energy trading strategy for multi-microgrid loads scheduling based on chance-constrained","authors":"Bilal Naji Alhasnawi ,&nbsp;Basil H. Jasim ,&nbsp;Raad Z. Homod ,&nbsp;Bahamin Bazooyar ,&nbsp;Marek Zanker ,&nbsp;Vladimír Bureš","doi":"10.1016/j.nexus.2025.100536","DOIUrl":"10.1016/j.nexus.2025.100536","url":null,"abstract":"<div><div>Facilitating producer-consumer P2P energy exchange is a viable paradigm in the era of decentralized energy. Energy trading requires the development of a fair pricing mechanism, but when numerous energy systems are involved in the transaction, the problem can get complicated. Through the decentralized coordination of distributed microgrid energy systems and shiftable microgrid appliances, this article introduces a decentralized EMS that facilitates P2P energy trading among prosumers in community. This lowers the energy costs per microgrid compared to operating each microgrid separately. A Chance-Constrained cooperative model connecting manufacturing, commercial, and residential prosumers with guaranteed trade fairness serves as foundation for suggested approach. The model is expanded to take into account several demand-side management strategies and widely utilized energy supply systems. This study offers a more succinct method for figuring out fair prices for multi-energy trading than earlier research. A comparison between chance-constrained optimization outcomes obtained results is implemented utilizing Improved Sparrow Search Algorithm (ISSA), and without optimization techniques. The results show that recommended strategy for microgrid demand control is appropriate and workable. Fair electricity pricing practices are used to minimize energy costs for prosumers in residential, commercial, and industrial sectors. The suggested solution improves overall electricity bills for the home, company, and factory by 80.34%, 61.429%, and 54.069%, respectively.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100536"},"PeriodicalIF":9.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy recovery, enhanced resilience, and sustainability in European water networks: Harnessing the water-energy nexus","authors":"Bethany Marguerite Bronkema ,&nbsp;Bjarnhedinn Gudlaugsson ,&nbsp;David Bermejo ,&nbsp;Xavier Escaler ,&nbsp;David C. Finger","doi":"10.1016/j.nexus.2025.100544","DOIUrl":"10.1016/j.nexus.2025.100544","url":null,"abstract":"<div><div>Climate change intensifies weather events, posing challenges for water distribution networks. We present tools to optimize energy recovery in water networks across Europe as part of the Horizon Europe H–Hope project. This recovery harnesses vortex-induced vibrations in water flow to harvest energy, power sensors, and implement early warning systems. Authors analyzed data from various case studies: Spain, Italy, Türkiye, Austria, Czech Republic, and Iceland. A comprehensive database was created – including velocity, pressure, and temperature data – to model optimal conditions. Capacity factors, power outputs, and intermittency indicators were calculated to assess harvester feasibility. Results reveal that energy recovery varies significantly between network types. Drinking water networks in cities such as the Spain case exhibit daily fluctuations – lower nighttime velocities – while district heating systems such as the Iceland case are more stable. The most promising case studies, like the Türkiye case, demonstrate energy outputs with estimated productions from 45 to 2654 kWh over 20 years. Therefore, energy harvesting in water networks can provide a sustainable solution to power sensors and generate early warning signals, improving climate resilience. Energy recovery in water networks generates significant energy, offering a practical approach to enhance the water-energy nexus, adaptation, and energy management.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100544"},"PeriodicalIF":9.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Theoretical development and experimental validation of a thermal model comparing different greenhouse covering materials","authors":"Mathieu Deschênes ,&nbsp;Mathieu Bendouma ,&nbsp;Ruiz-González Alexis ,&nbsp;Stéphane Godbout ,&nbsp;Sébastien Fournel","doi":"10.1016/j.nexus.2025.100537","DOIUrl":"10.1016/j.nexus.2025.100537","url":null,"abstract":"<div><div>This study compared greenhouse covering materials for small to mid-scale greenhouse producers in cold regions. Small gothic greenhouses commonly use polyethylene, resulting in significant plastic waste due to the need for replacement every 3 to 5 years. To address this issue while minimizing heating loads, new covering materials with improved durability and energy efficiency created from recycled products (e.g., polymethyl methacrylate) are being developed. Potential energy savings should be assessed since their spectral and thermal properties may positively impact both solar gains and heat transfer. A comparison between conventional (e.g., polyethylene) and alternative covering materials (e.g., polycarbonate and polymethyl methacrylate) was then carried out through numerical modeling written in Python This model takes detailed parameters into account: crops, construction and covering materials, greenhouse configurations, and localization. It uses hourly weather data including temperature, humidity, atmospheric pressure, cloud cover, wind speed, and solar irradiance. The model calculates heat losses and gains through the roof, walls, perimeter, and ground, considering longwave and shortwave radiation, conduction, convection, infiltration, and energy sinks and sources induced by plant evapotranspiration or environmental control systems. Results indicated that the model effectively predicts the heating of a double polyethylene-covered greenhouse located in the province of Quebec, Canada. The simulation of the same greenhouse covered with a polymethyl methacrylate revealed that heat loads can be reduced by 8.5 %. The thermal analysis also showed that, heat used in ventilation for dehumidification could represent 29 % of all energy consumption. This study enlightens several ways to improve sustainability of the greenhouse industry regarding energy consumption and plastic waste.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100537"},"PeriodicalIF":9.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal-spatial evolution and coupling analysis of water-energy-carbon nexus for crop production: A case study of Sichuan Province, China","authors":"Yinhong Kang,&nbsp;Shuai He,&nbsp;Tiefeng Ni,&nbsp;Zihua Cao,&nbsp;Guixiong Wu","doi":"10.1016/j.nexus.2025.100542","DOIUrl":"10.1016/j.nexus.2025.100542","url":null,"abstract":"<div><div>Water, energy, and carbon are crucial factors that influence crop production efficiency. A comprehensive understanding of their intricate relationships is essential for achieving sustainable and coordinated development of regional agriculture. Quantifying these interrelationships is significant for addressing resource scarcity and climate change. However, current research on the water-energy-carbon nexus agricultural production primarily focused on national and strategic regional levels, with limited studies on specific regions. In this study, we assessed water consumption, energy utilization, and carbon emissions using footprint theory, analyzed their spatio-temporal evolution trends and spatial agglomeration characteristics through standard deviation ellipse analysis and spatial autocorrelation analysis, and evaluated the level of coordinated development among them through the coupling coordination degree model in Sichuan Province from 2011 to 2021. The results indicated that annual water consumption was 6.25 × 10¹⁰m³, energy inputs and outputs were 4.07 × 10¹⁰MJ and 6.71 × 10¹¹MJ, while carbon emissions and sinks were 3.35 × 10¹⁰kg and 1.31 × 10¹¹kg in agricultural production. The spatial density of the water footprint, energy input, and carbon emissions exhibited decreasing trends, suggesting a continuous weakening of their agglomeration effects. The global autocorrelation analysis were not significant. The HH clusters for water footprint, energy input, and carbon emissions were mainly found in the northeast Sichuan region. The coupling degree of the water-energy-carbon nexus showed good performance, with the coupling coordination degree ranging between 0.3 and 0.5. Therefore, it is necessary to implement measures to reduce water and energy consumption as well as carbon emissions, such as adopting integrated water and fertilizer management, partially replacing chemical fertilizers with organic manure, and promoting no-till and minimum-till farming practices. This study provides valuable insights for coordinated management and sustainable development in agriculture.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100542"},"PeriodicalIF":9.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A machine learning based multi-objective optimization for flue gas desulfurization enhancement in coal power plants","authors":"Fahid Riaz ,&nbsp;Muhammad Rizwan Awan ,&nbsp;Hafiz Zahid Nabi ,&nbsp;Ghulam Moeen Uddin ,&nbsp;Muhammad Sultan ,&nbsp;Muhammad Asim","doi":"10.1016/j.nexus.2025.100534","DOIUrl":"10.1016/j.nexus.2025.100534","url":null,"abstract":"<div><div>Coal-fired power plants emit large quantities of hazardous pollutants including sulfur dioxide (SO₂), oxides of nitrogen (NO_x) and Mercury (Hg) that threaten environmental sustainability. Flue gas desulfurization (FGD) systems are widely deployed to reduce SO₂ emissions, yet their performance depends on large number of interacting operational variables, making real-time optimization challenging. This research aims to develop a practical, data-driven optimization framework for performance improvement of industrial-scale FGD systems. Artificial neural network (ANN) based process models have been trained for its proven capability to model complex nonlinear relationships in high-dimensional process data, and reasonable memory requirement for making excellent function approximate for real-life applications. Two years of continuous operational data from a 660 MW coal power plant were used to train ANN models that predict desulfurization efficiency, NOx, and Hg emissions based on key flue gas and slurry parameters. Monte Carlo sensitivity analysis showed that absorber slurry pH, inlet NOx concentration, and inlet dust concentration are the dominant factors for the three outputs, respectively. A Non-Dominated Sorting Genetic Algorithm II (NSGA-II) was applied to determine optimal operating settings under varying plant load scenarios, with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) selecting the most balanced solutions. Results show that the optimized conditions improve SO₂ removal efficiency while reducing NOx and Hg emissions compared to conventional setpoints. The proposed framework offers a practical pathway for cleaner and more efficient operation of large-scale FGD systems, supporting the power sector’s net-zero objectives.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100534"},"PeriodicalIF":9.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing co-hydrothermal carbonization of organic dairy manure and hemp stalks: a multi-criteria decision-making approach","authors":"Alessandro Cardarelli ,&nbsp;Mirko Cucina ,&nbsp;Giorgia Agresti ,&nbsp;Andrea Nicolini ,&nbsp;Gianluca Cavalaglio ,&nbsp;Marco Barbanera","doi":"10.1016/j.nexus.2025.100533","DOIUrl":"10.1016/j.nexus.2025.100533","url":null,"abstract":"<div><div>The increasing demand for environmental sustainability practices highlights the importance of valorizing agricultural residues into efficient biofuels. This study focuses on the co-hydrothermal carbonization (co-HTC) of organic dairy manure (ODM) and hemp stalk (HS) residue to enhance the combustion performance of the hydrochar and assess liquid-phase valorization potential. HTC experiments were conducted at 180, 220, and 260 °C with varying HS:ODM ratios (1:0, 3:1, 1:1, 1:3, 0:1), and hydrochars were evaluated for physicochemical properties, combustion behavior, and emission factors estimation. A hybrid Analytic Hierarchy Process (AHP) – Entropy – TOPSIS multicriterial analysis integrated technical, environmental, and process-related indicators to rank the hydrochars.</div><div>Key findings indicate clear synergistic effects at low to moderate temperatures, where blending improved energy yield, combustion reactivity, and solid-phase carbon recovery. Although HY_180–0:1 achieved the highest overall performance score, its Alkali Index (AI) exceeded the high-risk fouling threshold (&gt; 0.34 kg/GJ), as did other ODM-rich hydrochar, excluding them for practical combustion. In contrast, HY_{180–0.3:0.7} and HY_{180–0.7:0.3} emerged as the most combustion-viable hydrochars, combining high multi-criteria performance with acceptable AI levels.</div><div>This work highlights the novelty of systematically integrating multi-criteria decision-making with fouling risk assessment, ensuring both optimal performance and operational feasibility, supporting sustainable waste-to-energy pathways, and advancing circular economy practices in the agricultural sector. The findings demonstrate that co-HTC can strategically tailor hydrochar properties by leveraging complementary feedstock characteristics. By enabling renewable fuel production (SDG 7), advancing circular waste management (SDG 12), and mitigating emissions (SDG 13), this approach strengthens the role of hydrochar as a clean energy carrier.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"20 ","pages":"Article 100533"},"PeriodicalIF":9.5,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transforming ports for a low-carbon future: Nexus modeling of hydrogen infrastructure, employment, and resource management in contrasting climates","authors":"Amirhossein Kordi,&nbsp;Kimia Mohebbi,&nbsp;Masoumeh Bararzadeh Ledari,&nbsp;Seyed Mohammad Shirafkan","doi":"10.1016/j.nexus.2025.100515","DOIUrl":"10.1016/j.nexus.2025.100515","url":null,"abstract":"<div><div>This research study highlights a transformative approach to port development for a low-carbon future by integrating Climate, Land, Energy, and Water Systems (CLEWs) and Water-Energy-Food (WEF) frameworks. The proposed nexus model integrates the hydrogen infrastructure with green employment and resource management in contrasting climates. The scenarios analyzed include Business As Usual (BAU), Balanced Reduction Approach (BRA), and Maximal Sustainability Push (MSP), which focuses mainly on energy efficiency, resource utilization, and workforce sustainability. By BRA, it is estimated that carbon emissions will decline by 30% in cold climates and 20% in warm climates without changing renewable power plants producing 45% and 30% of the electricity supply mix. In the MSP scenario, emission reductions rise to 90% in cold and 40% in warm climates, with renewables providing 62% and 40% of the electricity mix. Under the whole capacity of Municipal Solid Waste (MSW) and fish waste under anaerobic digestion and fish waste rendering by 2040, across all BRA and MSP scenarios. In transport, 44% replacement of marine vehicles and 87% of land vehicles with hydrogen, electric, and carbon capture and storage (CCS)-equipped vehicles is made under the BRA scenario. These percentages increase to 100% under the MSP scenario in cold climates, while remaining at 87% in warm climates. By this integrated framework, the present study demonstrates the potential of ports to be powerful engines for sustainable economic growth, optimized resource efficiency, and the creation of resilient green employment systems in diverse environmental contexts.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100515"},"PeriodicalIF":9.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facile and optimal decision support model for development photovoltaic solar power toward sustainability: Four case studies for selection location, manufacturer, technology, and strategy","authors":"Ibrahim Alrashdi ,&nbsp;Ahmed M. Ali ,&nbsp;Karam M. Sallam ,&nbsp;Mohamed Abdel-Basset","doi":"10.1016/j.nexus.2025.100520","DOIUrl":"10.1016/j.nexus.2025.100520","url":null,"abstract":"<div><div>Fossil fuels pose various risks to human health and the environment. Fossil fuels release carbon emissions, impact climate change, air pollutions harm human health, and water pollution harm communities. Solar is the best choice to convert from fossil fuel to clean, sustainable, inexpensive energy sources and solve all previous issues. Photovoltaic (PV) energy is the primary part of solar energy. PV is used to generate electricity. This paper proposes an intelligent decision support model for the sustainable development of solar PV power by introducing four stages. The multi-criteria decision-making (MCDM) procedure is used in this paper to deal with conflict criteria. Two MCDM methods are used such as Stepwise Weight Assessment Ratio Analysis (SWARA) to obtain factor weights and Evaluation Based on Distance from Average Solution (EDAS) to order alternatives. A spherical fuzzy set (SFS) framework is used with MCDM methods to deal with vague information. There are four stages in this paper applied to four applications in the solar PV field. In the first stage, the site selection application is employed using the SF-SWARA-EDAS procedure to select the best location. Then, in the second stage, after obtaining the best location, the manufacturer selection application is solved by choosing the best manufacturer. In the third stage, the technology selection application is solved after obtaining the best location and manufacturer. Finally, the strategy selection application is solved to select the best strategy to overcome issues in the development of solar power PV. In each stage, sensitivity and comparative analysis are employed. The main results show the location 10, manufacture 10, technology 1, and strategy 1 are the best alternatives. The sensitivity analysis shows the rank of alternatives in each stage is stable. The comparative study compared the SF-SWARA-EDAS procedure with other MCDM methods. The outcomes of the comparative analysis show the SF-SWARA-EDAS procedure is effective compared with other MCDM approaches. This study can aid governance in providing sustainability and renewable energy with multiple benefits such as clean energy production, reduced carbon emissions, minimized dependence on fossil fuels, and reduced costs.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100520"},"PeriodicalIF":9.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Development of macro and micro-nutrient rich integrated Jeevamrutha bio-fertilizer systems using rural and commercial precursors” [Energy Nexus 17 (2025) 1–11/100402]","authors":"Udaratta Bhattacharjee ,&nbsp;Ramagopal V.S. Uppaluri","doi":"10.1016/j.nexus.2025.100465","DOIUrl":"10.1016/j.nexus.2025.100465","url":null,"abstract":"","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"19 ","pages":"Article 100465"},"PeriodicalIF":9.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104600","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}