Renewable Energy最新文献

{"title":"Short-term scheduling model for cascade diversion hydropower-wind-solar hybrid systems with Wasserstein-based distributionally robust chance constraints","authors":"Benxi Liu ,&nbsp;Tengyuan Liu ,&nbsp;Zhenghe Hu ,&nbsp;Shengli Liao ,&nbsp;Chuntian Cheng","doi":"10.1016/j.renene.2025.123764","DOIUrl":"10.1016/j.renene.2025.123764","url":null,"abstract":"<div><div>Coordinating the operation of hydropower, wind, and solar energy improves renewable energy utilization but poses challenges in cascade serial diversion-type hydropower stations (CSDHS), including balancing upstream and downstream flows and managing renewable energy uncertainties. This paper proposes a short-term optimization scheduling model for CSDHS base hybrid system that incorporates the uncertainties of wind and solar power. First, a fuzzy uncertainty set based on the Wasserstein distance is formulated to model wind and solar power forecasting errors. Next, a detailed short-term hydro-wind-solar complementary scheduling model for CSDHS is developed, which integrates upstream and downstream flow matching and complex operation constraints. Finally, Conditional Value-at-Risk (CVaR) is employed to reformulate the distributionally robust chance constraints (DRCC), and linearization techniques are applied to transform the objective function and constraints, converting the model into a solvable mixed-integer linear programming (MILP) formulation. Case studies validate the effectiveness of the model in meeting flow-matching requirements and handling the complex operational constraints of CSDHS. Moreover, the model enables the complementary operation of the hybrid hydro-wind-solar system while fulfilling grid peak-shaving requirements. It strikes an optimal balance between robustness and economic efficiency, addressing both peak-shaving demands and diverse risk preferences.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123764"},"PeriodicalIF":9.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298412","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":"Asymmetries and evolution in energy market Interactions: Evidence from solar PV systems and spot electricity prices in Australia","authors":"Xiuyue Deng,&nbsp;Miaomiao Tao,&nbsp;Stephen Poletti","doi":"10.1016/j.renene.2025.123740","DOIUrl":"10.1016/j.renene.2025.123740","url":null,"abstract":"<div><div>Solar energy is becoming increasingly critical in electricity markets. While existing studies have examined the effects of solar penetration, the interdependence between solar PV system price and spot electricity price dynamics remains underexplored. Using monthly return data from August 2012 to July 2024, we apply quantile-on-quantile regression to analyze nonlinear dependencies and directional asymmetries across regions, combined with time-varying Granger causality tests to uncover evolving causal structures. The results reveal significant regional heterogeneity, closely linked to each state's solar energy share in the electricity mix. Strong asymmetric dependencies emerge in South Australia, Victoria, New South Wales, and Queensland, with causal effects shifting over time. These findings provide policymakers with critical insights for managing solar integration and optimizing wholesale electricity market regulation.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123740"},"PeriodicalIF":9.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314245","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":"Model, energy and economic analyses of solid oxide electrolysis cells for clean hydrogen production","authors":"Eduardo J.C. Cavalcanti ,&nbsp;Cleydson.T.F. Rufino,&nbsp;Álvaro.A.S. Lima,&nbsp;Jonathan.L.B. Azevedo","doi":"10.1016/j.renene.2025.123747","DOIUrl":"10.1016/j.renene.2025.123747","url":null,"abstract":"<div><div>Green hydrogen is a good option for replacing fossil fuels. Renewable energy is used for water electrolysis to boost the descarbonization. A system of solid oxide electrolysis electrolyzer driven by the solar field of heliostat and photovoltaic panels with a battery bank is techno-economically investigated in the northeast of Brazil condition. Model of the cell, design of solar field and PV-Battery system are carried out. The system composed of 60 modules produces 112.8 kg/h of green hydrogen. The cell operates at 950 °C with a current density of 2500 A/m² and reaches an efficiency of 95.33 %. The model has the highest relative error of 2.76 %. The Nernst voltage is the predominant voltage of cells, followed by the ohmic overpotential. The photovoltaic panels and battery have an average efficiency of 18.02 %. The solar field has an average efficiency is 34.6 %. The solar field and PV/battery bank account for 42.52 % and 39.65 % of global cost, respectively. The LCOH calculated is 9.43 US$/kg. Sensitivity analyses of the receiver and tower diameter and the lifespan battery on the LCOH are shown. Further researches are suggested.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123747"},"PeriodicalIF":9.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306268","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":"Utilization of algal biomass-derived carbon in the alkaline water electrolysis for hydrogen production","authors":"Ananda Kumar S ,&nbsp;Kalaiselvan Narasimman","doi":"10.1016/j.renene.2025.123760","DOIUrl":"10.1016/j.renene.2025.123760","url":null,"abstract":"<div><div>The increasing focus on eco-friendly hydrogen production from biomass has led to the exploration of novel approaches for pilot-scale hydrogen generation. This study explores a new approach for the hydrogen evolution reaction (HER) in alkaline water electrolysis using biomass-derived carbon catalysts. Biochar morphology and composition were characterized by FESEM-EDS, while structural properties were examined using Raman and XRD. The hydrogen-producing electrode (HPE) was fabricated by coating algal biochar on nickel foam (GA@NF), and its electrochemical performance was assessed through LSV, CV, and EIS. GA@NF demonstrated superior performance among the tested HPEs, with a low overpotential of −126 mV at a current density of 100 mA/cm² and a Tafel slope of 84 mV/dec. Furthermore, MA@NF and CO@NF exhibited overpotentials of −202 and −457 mV, and Tafel slopes of 228 and 141 mV/dec, respectively. At an input voltage of 2.5 V, the average hydrogen production rates over 15 min were 52.240, 43.803, and 39.250 mg/s for GA@NF, MA@NF, and CO@NF, respectively. Extending the test to 30 min, GA@NF reached a maximum production rate of 555.529 mg/s, which is 10.63 times higher than the previous study (30 min). These results highlight GA@NF's superior electrochemical behavior and effectiveness in enhancing HER during alkaline water electrolysis.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123760"},"PeriodicalIF":9.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289078","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":"Entrainment and flow performance study of a novel shark-gill bionic ejector for a PEMFC hydrogen supply system","authors":"Feng Zhou ,&nbsp;Kewen Yao ,&nbsp;Guoyuan Ma","doi":"10.1016/j.renene.2025.123700","DOIUrl":"10.1016/j.renene.2025.123700","url":null,"abstract":"<div><div>Proton exchange membrane fuel cell (PEMFC) technology stands as the core enabling hydrogen energy technology. The ejector, key component of PEMFC anode hydrogen supply system, is primarily responsible for recovering unreacted hydrogen from the fuel cell stacks. Low entrainment ratio (ER) weakens ejector and overall performance significantly. A novel bionic ejector inspired by shark gills was proposed to improve ER. The impact of key structural parameters on ER was analyzed. The optimal parameter ranges enhancing performance effectively were identified. Results show that the bionic ejector directs primary flow more effectively, reduces fluid resistance, enhances stability, and improves overall performance, albeit with a decrease in primary flow mass flow. The optimal ranges of gill number ratio, length ratio, height ratio, and width ratio remained 0 to 0.182, 0 to 0.28, 0 to 0.4, and 0 to 0.14, respectively. Within these ranges, the ER increased by 8.92 %–16.83 %, while the primary flow mass flow decreased by 6.25 %–8.75 %. Distinct design strategies are recommended based on pressure: small gill number, gill length, gill height, gill width, and non-vertical angle are favored for low pressure; for high pressure, high gill number, long gill length, great gill height, wide gill width, and vertical angle (90°) are optimal.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123700"},"PeriodicalIF":9.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314248","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":"Integrated membrane gas separation process for the valorisation of H2 and CO2 to biomethane","authors":"Luigi Marsico ,&nbsp;Adele Brunetti ,&nbsp;Enrico Catizzone ,&nbsp;Massimo Migliori ,&nbsp;Giuseppe Barbieri","doi":"10.1016/j.renene.2025.123693","DOIUrl":"10.1016/j.renene.2025.123693","url":null,"abstract":"<div><div>In this work, we focused on a membrane gas separation system aimed at enhancing the efficiency of a process for CO₂ valorisation into synthetic methane production via hydrogenation of a biogas stream. This system is designed for separating and recycling unreacted CO₂ and H₂ downstream of a methanation reactor. The inlet stream of the membrane separation system consists of unconverted CO₂ and H₂, apart from the CH₄ from biogas and that produced by CO₂ conversion. The membrane separation is analysed by using performance maps based a 1D mathematical model, already developed and validated, considering the selectivity and permeance properties of a polyimide membrane. The outcomes of the membrane system, constituted by two steps operated at 20 bar, show that the proposed integrated process allows a quantitative CO₂ conversion into methane. The integration of the multi-step membrane process leads to a final retentate stream suitable for direct injection into the gas grid with CH₄ ≥ 97.5 % molar, and CO₂ and H₂ within the targets of Italian regulation, CH₄ yields up to 0.987 confirmed a nearly complete CO₂ valorisation into CH₄ and a near-zero emissions process.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123693"},"PeriodicalIF":9.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291503","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":"Multi-agent systems in networked microgrids: Reinforcement learning and strategic pricing mechanisms","authors":"Syed Muhammad Ahsan ,&nbsp;Nastaran Gholizadeh ,&nbsp;Petr Musilek","doi":"10.1016/j.renene.2025.123678","DOIUrl":"10.1016/j.renene.2025.123678","url":null,"abstract":"<div><div>This study presents a novel, multi-layered approach for optimizing power transactions in networked microgrids using a multi-agent system framework. It incorporates peer-to-peer trading within microgrid clusters and a market based mechanism for inter-microgrid cluster transactions. To facilitate trading efficiency and market coordination, microgrids are first grouped into clusters based on similar load profiles and generation characteristics, enabling efficient intra-microgrid cluster energy balancing before engaging in inter-microgrid cluster trading. Within each microgrid cluster, microgrids operate autonomously, using local optimization to assess power surpluses and shortages, followed by multi-agent reinforcement learning to dynamically determine bid/ask prices. The proposed framework integrates a two-tiered trading mechanism. First, intra-microgrid cluster trading is facilitated through a proportional bargaining pricing model, ensuring fair power distribution among microgrids within the same microgrid cluster. Then, inter-microgrid cluster trading is optimized using a system marginal pricing mechanism, allowing microgrid clusters to efficiently sell surplus and buy shortage while minimizing grid dependency. Simulations using real-world data demonstrate substantial cost reductions and improved market efficiency. The proposed approach achieves a reduction of 43.9% in the annual surplus energy sold to the grid which reduces reliance on the utility grid by 7.1%. Additionally, annual electricity purchase costs from the grid and the cost of selling electricity to the grid are decreased by 7.5% and 44.6%, respectively. These improvements contribute to greater energy self-sufficiency, lower transaction costs, and enhanced economic fairness among microgrids. This framework provides a scalable, effective, and market-driven solution for power trading in networked microgrids by integrating microgrid clustering, local optimization, dynamic bid/ask price learning, and decentralized trading mechanisms. This improves operational resilience and economic viability of future distributed power markets.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123678"},"PeriodicalIF":9.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298415","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":"Green methanol production from photovoltaics in Europe","authors":"D.A. Rodriguez-Pastor ,&nbsp;V.M. Soltero ,&nbsp;R. Chacartegui","doi":"10.1016/j.renene.2025.123751","DOIUrl":"10.1016/j.renene.2025.123751","url":null,"abstract":"<div><div>The European Union's objective for non-biological fuels is 10 Mt by 2030. The massive implementation of green hydrogen facilities predicts cost overruns for adapting the existing industry towards H₂-ready, making the development of alternative e-fuels imperative. Based on European GIS data, this work analyses the potential implementation of green methanol from CO₂ capture in existing industries. The study is based on hydrogen fraction limits on existing natural gas grids, with maximum volumetric blends of 5–20 % H₂. The analysis of boundary conditions based on water resources and proximity to the networks yields 3016 potential municipalities for implementing green methanol valleys. The analysis projects a potential of ∼30 Mton H₂/year in PV to produce 5 Mton of methanol, with a carbon capture capacity above 7 Mton CO₂/year. The economic analysis of different scenarios shows that in 2030, the levelized cost of methanol could reach values around ∼450 €/ton MeOH, with IRR&gt;15 %, showing the viability of the approach.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123751"},"PeriodicalIF":9.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306271","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":"Wave energy harvesting of a floating membrane carpet tethered by array-arranged power take-off units","authors":"Zhiyuan Teng ,&nbsp;Yong Cheng ,&nbsp;Saishuai Dai ,&nbsp;Zhiming Yuan ,&nbsp;Atilla Incecik","doi":"10.1016/j.renene.2025.123744","DOIUrl":"10.1016/j.renene.2025.123744","url":null,"abstract":"<div><div>Flexible-structure-based wave energy converters (WECs) present a cutting-edge technology to efficiently harvest wave energy through the utilization of generalized elastic modes. This paper proposes a novel WEC consisting of a floating elastic carpet moored by a Power Take-Off (PTO) system. A numerical carpet-covered flume is developed to investigate the hydroelastic effect on wave energy conversion. The carpet is simulated as a uniform elastic thin membrane using the Finite Element Method (FEM). The Computational Fluid Dynamics (CFD) is adopted to model the two-phase flow motion. The bi-directionally coupled fluid-structure interaction is achieved by enforcing interface conditions at each time step. After convergence and validation, detailed hydrodynamic characteristics are examined via parametric analysis. The wave energy absorption of the floating carpet can be enhanced by the multi-mode elastic deformation, which is constructive for both wave energy extraction and wave attenuation. Symmetrical PTO placements yield better performance by striking a balance between energy extraction and structural deformation. When the number of PTO units exceeds a certain threshold, i.e., a continuous PTO distribution, the improved cost-effectiveness is not offered. The energy harvesting is augmented with increasing the PTO placement range. A larger carpet aspect ratio significantly improves efficiency, especially in medium- and long-period waves.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123744"},"PeriodicalIF":9.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298531","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":"Built-in wave energy converter inspired adaptive vibration control for offshore floating platform","authors":"Yongxing Zhang ,&nbsp;Jing Bian ,&nbsp;Zhicong Huang","doi":"10.1016/j.renene.2025.123679","DOIUrl":"10.1016/j.renene.2025.123679","url":null,"abstract":"<div><div>In addition to wave energy harvesting, there is growing interest in integrating the wave energy converter (WEC) into the offshore floating platform (OFP) for potential vibration control. However, due to the inherent dynamic coupling among the OFP, WEC, and ocean waves, it is still challenging for existing WEC-OFP combined structures to maintain effective vibration control through structural parameter optimization under changing wave conditions. To address this issue, this paper extends the energy conversion mechanism of built-in WEC to vibration control to eliminate dynamic coupling induced by ocean waves on WECs. Based on this, a multiple electromagnetic damping adaptive synergy optimization method is proposed to meet the needs of vibration control under different wave conditions. To illustrate this proposal, a detailed design is presented using a semi-submersible floating platform synergizing multiple built-in WECs. A multi-degree-of-freedom mathematical model including multiple physical domains is developed and validated. Subsequently, vibration control-oriented multiple electromagnetic damping optimization is conducted, followed by performance analysis. Hardware-in-the-loop experiments are also conducted to test the vibration control effectiveness of the proposed approach under varying wave conditions. Results show that the proposed approach is particularly effective for varying ocean wave conditions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123679"},"PeriodicalIF":9.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291152","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}