Renewable Energy最新文献

{"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":"Exploring the economic and non-economic determinants of investments in renewable energy","authors":"Gazi Salah Uddin ,&nbsp;Md. Bokhtiar Hasan ,&nbsp;Donghyun Park ,&nbsp;Md. Sumon Ali ,&nbsp;Christoffer Wadström","doi":"10.1016/j.renene.2025.123750","DOIUrl":"10.1016/j.renene.2025.123750","url":null,"abstract":"<div><div>Amid growing concerns about climate change and fossil fuel depletion, the global shift toward sustainable energy has become increasingly urgent. Despite significant investments in renewable energy (RE), there remains a large gap in meeting global sustainability targets. This study is the first to analyze the key factors driving RE investments, using a comprehensive panel dataset of 36 countries over 21 years (2000–2020), comparing developed and developing/emerging nations. The results show that in developed countries, factors like industrial growth, environmental taxes, social globalization, and climate vulnerability drive RE investments, while inflation and political instability hinder progress. In contrast, developing countries benefit from environmental taxes, social globalization, environmental technologies, and climate vulnerability, but industrial growth and oil prices negatively impact RE investments. These differences underscore the need for tailored strategies. Quantile-based assessments further highlight variations across countries, offering a nuanced understanding of the determinants of RE investments. This research provides valuable insights for policymakers, helping to shape more effective strategies to accelerate the transition to RE and meet sustainability goals worldwide.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123750"},"PeriodicalIF":9.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321195","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}

{"title":"Innovative natural self-doped-CaTiO3 perovskite coupled with sulphonated biochar for hydrogen production under visible light","authors":"Safaa Ragab ,&nbsp;Marwa R. Elkatory ,&nbsp;Mohamed A. Hassaan ,&nbsp;Mohamed A. El-Nemr ,&nbsp;Ahmed El Nemr","doi":"10.1016/j.renene.2025.123711","DOIUrl":"10.1016/j.renene.2025.123711","url":null,"abstract":"<div><div>This study advances renewable energy technology by developing a low-cost, waste-derived photocatalyst system by using self-doped CaTiO₃ (SD-CaTiO₃) perovskite nanoparticles combined with watermelon sulfonated biochar (WMSB) for solar-driven green hydrogen production hydrogen production through visible-light-driven water splitting. The SD-CaTiO₃ was synthesized via two distinct approaches: a sol-gel method using nitrated Triesta Marble (NTM) as a calcium source and a molten-salt method combining Triesta Marble powder directly with TiO₂. Characterization revealed the sol-gel-derived material exhibited superior photocatalytic performance, featuring an orthorhombic crystalline structure with particle sizes ranging from 52.43 to 126.52 nm and a reduced bandgap of 2.39 eV compared to undoped CaTiO₃ (3.5 eV), enabling effective visible light absorption. Experimental optimization demonstrated significant hydrogen production differences between the two synthesis methods and the effect of WMSB incorporation. The sol-gel SD-CaTiO₃ alone achieved maximum H₂ production of 6781.48 μmol/L at pH 10 with 900 mg/L catalyst loading. The system enhanced performance when combined with 200 mg/L WMSB, reaching 9993.75 μmol/L at pH 2 under identical light conditions. The process was effectively modelled using an artificial neural network (ANN) with three hidden layers (Log-Sigmoid, Tan-Sigmoid, and linear activation functions) for the 1st, 2nd and 3rd hidden layers, respectively, achieving optimal predictive performance in just two training epochs. This study develops a waste-derived solar photocatalyst system for renewable hydrogen production (9993.75 μmol/L yield under visible light), directly advancing solar fuel technologies and circular economy integration for decarbonizing energy-intensive industries.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123711"},"PeriodicalIF":9.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272175","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":"Optimal control and operation strategy for an integrated photovoltaic/thermal-pressure retarded osmosis-solid oxide fuel cell system","authors":"Yingxue Chen ,&nbsp;Haoran Chi ,&nbsp;Zhixing Ji ,&nbsp;Guang Li ,&nbsp;Linfeng Gou","doi":"10.1016/j.renene.2025.123749","DOIUrl":"10.1016/j.renene.2025.123749","url":null,"abstract":"<div><div>Hydrogen-based renewable microgrids have gained widespread recognition as a promising, clean, efficient, and economically viable zero-carbon solution. In this work, a centralized energy management strategy for a stand-alone DC microgrid employing the photovoltaic thermal system, the pressure retarded osmosis system, and the solid oxide fuel cell system is proposed for the first time. The performance of the developed hybrid system depends on environmental conditions such as temperature, pressure, solar intensity, etc., and its nonlinear characteristics require fast and robust control to improve energy efficiency and lifetime. In this study, a maximum power point tracking (MPPT) control based on the distributed optimization algorithm using triangulation topology aggregation optimizer (TTAO) and reptile search algorithm is first adopted to improve the dynamic operating efficiency of the integrated system under fluctuating environmental conditions. The results indicate that the proposed system combined with EMS can provide superior MPPT performance with less power fluctuation and higher production efficiency. The TTAO algorithm outperforms the other three evaluated algorithms. In the proposed hybrid system, an annual output power of 1852 kW is achieved, an increase of 9.84 % compared to the classic approach, achieving higher energy efficiency and a lower operating cost for the hybrid system.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123749"},"PeriodicalIF":9.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306267","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":"Investigation of wake steering control effects on the dynamic responses of 15 MW semi-submersible floating wind farms","authors":"Teng Zhang ,&nbsp;Xiaosen Xu ,&nbsp;Shuaishuai Wang ,&nbsp;Yihan Xing ,&nbsp;Peng Dou ,&nbsp;Renwei Ji ,&nbsp;Puyi Yang","doi":"10.1016/j.renene.2025.123704","DOIUrl":"10.1016/j.renene.2025.123704","url":null,"abstract":"<div><div>Wake effects between turbines become more pronounced as turbine size increases. Velocity deficits and increased turbulence intensity have a negative effect on both power output and lifetime fatigue. However, power generation can be improved, and turbine loads reduced, through yaw control of individual floating wind turbines (FWTs). In this paper, a dynamic wake meandering wind farm modeling tool is used to simulate three semi-submersible FWTs positioned in the stream-wise direction, investigating the influence on power production and fatigue damage of FWTs in the wind farm. Two wake steering control schemes are considered in this study, namely active wake steering (AWS) and a yaw strategy based on the secondary steering effect of the wake. The cost function is employed to evaluate the overall performance of two types of steering strategies considering the performance of output power and short-term fatigue damage. The results show that wake steering can increase overall power production and reduce fatigue loads at low wind speeds. However, at high wind speeds, the effect of yaw control on power generation is not significant. The overall economy of the wind farm increases at a yaw angle of 5° according to the cost function for all conditions. This work facilitates gaining deep insights into the dynamic behavior of FWTs in a wind farm and a good understanding of the role of AWS and secondary wake steering. The findings offer an essential basis for optimizing wind farm layouts to achieve significant economic benefits.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123704"},"PeriodicalIF":9.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279547","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}