Renewable Energy最新文献

{"title":"Drifter-based global ocean current energy resource assessment","authors":"Mahsan Sadoughipour ,&nbsp;James VanZwieten ,&nbsp;Yufei Tang","doi":"10.1016/j.renene.2025.122576","DOIUrl":"10.1016/j.renene.2025.122576","url":null,"abstract":"<div><div>Global electricity demand is rising daily due to economic development and population growth. To reduce greenhouse gas emissions, renewable energy is essential for meeting this increasing power demand. One promising source is the use of open ocean currents, such as the Gulf Stream, Kuroshio, and Agulhas currents, for electricity production. These currents can provide predictable and nearly continuous electricity generation along the western boundaries of ocean basins. While global evaluations using numerical models and regional assessments with direct measurements have been conducted, a comprehensive global assessment based on actual measurements is lacking. This paper fills that gap by presenting a global measurement-based assessment of ocean current energy, utilizing more than thirty years of drifter data. Results show that power densities above <span><math><mrow><mn>1500</mn></mrow></math></span> W/m² were typical in the waters off Florida’s east coast and South Africa where total water depths are around 300 m, but not in other regions. The results for North America and Japan showed higher estimation accuracy, while poor or indeterminable estimation accuracy was commonly found off South Africa and South America, especially for the relatively shallow water area off northern Brazil and French Guiana. In addition, over 490,000 km² of the sea surface in these four regions exhibits power densities higher than <span><math><mrow><mn>500</mn></mrow></math></span> W/m², which represents nearly 59% of the total identified high power density areas globally.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122576"},"PeriodicalIF":9.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422281","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":"Analysis of renewable energy investments in China's BRI middle corridor using spherical fuzzy decision-making framework","authors":"Veysel Tatar ,&nbsp;Berk Ayvaz ,&nbsp;Dragan Pamucar","doi":"10.1016/j.renene.2025.122631","DOIUrl":"10.1016/j.renene.2025.122631","url":null,"abstract":"<div><div>The importance of investment in, and access to, renewable energy is widely recognised as a key factor in achieving countries' sustainable development and economic growth goals. In order to advance sustainable development, the Belt and Road Initiative (BRI) project, proposed by China, represents a significant research area of investigation for countries aiming to attract investments in renewable energy sources (RES). The aim of this study is to provide an analytical evaluation methodology for investment risk factors for renewable energy (RE) in BRI middle corridor countries bordering the Black Sea. The methodology is based on multi-criteria decision-making (MCDM) approaches, including the spherical fuzzy analytical hierarchy process (SF-AHP) and the alternative ranking technique based on adaptive standardized intervals (ARTASI). While the SF-AHP is employed to prioritize main and sub-criteria in an environment of uncertainty, the ARTASI is utilized to rank the RE investment profiles of countries by integrating the calculated criteria. The results demonstrated that “Environmental” emerged as the most significant criterion, accounting for 21.61 % of the total importance, followed by “Economic” (21.26 %), “Political” (17.09 %), “Technical” (15.22 %), “Chinese factors” (14.63 %), and “Social” (10.19 %), respectively. The findings indicate that Türkiye and Romania, two of the BRI mid-corridor Black Sea coastal countries, are the most suitable options for Chinese enterprises investing overseas in terms of renewable energy investments. In light of these findings, it can be posited that Chinese enterprises will be better placed to manage and execute BRI renewable energy investment projects in a more effective manner, thereby reducing potential risks and enhancing the potential for investment benefits.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122631"},"PeriodicalIF":9.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422304","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":"Do we have to choose between the ecosystems and the energy transition? Environmental trade-offs with operation of Norwegian hydropower","authors":"Viviane Aubin ,&nbsp;Arild Helseth ,&nbsp;Magnus Korpås","doi":"10.1016/j.renene.2025.122595","DOIUrl":"10.1016/j.renene.2025.122595","url":null,"abstract":"<div><div>In Norway, environmental constraints applying to hydropower may become stricter to safeguard local ecosystems. At the same time, Norwegian hydropower can facilitate the transition to more renewable energy within Northern Europe. This study quantifies the aggregated impact of environmental constraints on the Norwegian power system and its interactions with neighbouring countries up to 2050. Requirements for augmented protection of the local environment affect hydropower operation and, hence, the power system. For example, a loss of 3% in production combined with a 4% reduction in average hourly ramp for the Norwegian hydropower fleet results in our case study in up to a 14% increase in average Norwegian power prices and 4% increase in congestion on transmission lines towards neighbouring countries. The abundance of cheap renewable energy can mitigate price augmentation, but losses in flexibility can be difficult to recover completely within the existing hydropower infrastructure. While prioritizing hydropower plants with vulnerable surrounding ecosystems for adding new environmental targets helps limit their constraining effect on the power system, it also leads to an economic disparity between individual plants; stricter environmental constraints on parts of the hydropower fleet increase the revenues of the unaffected part (by up to 10% in our case study).</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122595"},"PeriodicalIF":9.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422227","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":"Coordinated routing, charging, and power grid for electric and hydrogen vehicles with renewable energy integration","authors":"Hamid R. Sayarshad","doi":"10.1016/j.renene.2025.122572","DOIUrl":"10.1016/j.renene.2025.122572","url":null,"abstract":"<div><div>This study introduces an innovative integrated charging infrastructure model for electric and hydrogen vehicles. The model caters to the specific needs of both vehicle types by incorporating routing and charging plans to enhance navigation and charging strategies, reducing driver range anxiety. Charging demands are predicted based on the remaining ranges and charging plans of electric vehicles (EVs) and hydrogen vehicles. Power procurement prices at each charging station are determined through competitive bidding. The model also accounts for energy accessibility from various sources such as the power grid, solar, and wind. It monitors the state of charge (SOC) at charging station batteries. Additionally, it focuses on maintaining a consistent hydrogen fuel supply for hydrogen vehicles by closely monitoring the electrolyzer and hydrogen tank to guarantee uninterrupted fuel availability. The proposed model was tested and evaluated for its effectiveness in managing the complexities of routing, charging, and grid-aware operations through three case studies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"243 ","pages":"Article 122572"},"PeriodicalIF":9.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143369790","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":"An optimization framework for component sizing and energy management of hybrid electrolyzer systems considering physical characteristics of alkaline electrolyzers and proton exchange membrane electrolyzers","authors":"Yuzhen Tang ,&nbsp;Zhuoqun Zheng ,&nbsp;Fanqi Min ,&nbsp;Jingying Xie ,&nbsp;Hengzhao Yang","doi":"10.1016/j.renene.2025.122555","DOIUrl":"10.1016/j.renene.2025.122555","url":null,"abstract":"<div><div>This paper proposes to produce hydrogen using a hybrid electrolyzer system (HES) incorporating the alkaline electrolyzer (AEL) and the proton exchange membrane electrolyzer (PEMEL) technologies in the context of renewable energy sources (RESs). To solve the component sizing and energy management problems for the HES, this paper develops an optimization framework by taking into account the physical characteristics of AELs and PEMELs. In particular, the operating power range of the AEL is determined based on its hydrogen to oxygen (HTO) threshold (for the lower bound) and overloading capability (for the upper bound). The dynamic response characteristics of AELs and PEMELs as well as supercapacitors are considered in that their dynamic responses are parameterized as affine functions of the RES power fluctuations. The effectiveness of the proposed optimization framework is validated using a case study involving both offline and online simulations. Results show that the system revenue of the HES is the highest (1451.05 ¥) compared to the AEL-only (1411.84 ¥) and PEMEL-only (1254.36 ¥) configurations. The energy efficiency of the HES (108.05%) is significantly higher than that of the AEL-only system (95.97%). Therefore, the HES configuration is both technically and economically feasible and beneficial compared to the AEL-only and PEMEL-only configurations for hydrogen production.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"243 ","pages":"Article 122555"},"PeriodicalIF":9.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376597","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":"Differential Evolution algorithm based Double Integral Sliding Mode Control for Maximum Power Point Tracking of a standalone photovoltaic system","authors":"H. Rizki ,&nbsp;E.-M. Boufounas ,&nbsp;A. El Amrani ,&nbsp;M. El Amraoui ,&nbsp;L. Bejjit","doi":"10.1016/j.renene.2025.122530","DOIUrl":"10.1016/j.renene.2025.122530","url":null,"abstract":"<div><div>The purpose of this study is to develop a robust control strategy based on the Sliding Mode Control (SMC) method and its advanced form of Double Integral Sliding Mode Control (DISMC) enhanced by a Differential Evolution (DE) algorithm. This approach focuses on offering a strong and effective method to adjust the controller parameters to minimize the tracking error between the PV output voltage and the reference. The DE algorithm uses initialization, mutation, crossover, and selection phases to accurately find the optimal controller coefficients for effectively implementing the control strategy of DISMC. The present paper highlights the superior performance of DE-DISMC compared to other controllers optimized with conventional methods, demonstrating its ability to provide the highest stability, accuracy, and efficiency to optimize the Maximum Power Point Tracking (MPPT) process. Using real climatic data from Errachidia city which is located in the south-east of Morocco, this work illustrates DE-DISMC’s ability to maintain the PV system’s peak performance in the face of varying environmental conditions, and the Lyapunov analysis confirms the system’s stability. The results of this study are evaluated using various statistical and analytical metrics, including response time, magnitude of chattering, steady-state error, and efficiency. The findings highlight the high performance of the proposed DE-DISMC controller, especially under real climatic test conditions, achieving a response time of 1.1 ms, which is 58% faster than DE-ISMC and 89% than DE-CSMC, along with a negligible chattering magnitude of <span><math><mrow><mn>2</mn><mo>.</mo><mn>8</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>6</mn></mrow></msup><mspace></mspace><mtext>V</mtext></mrow></math></span>. It also demonstrates strong resilience and effectiveness, reaching a minimal steady-state error of 0.00014 V and a high efficiency of 99.99%. This balance makes DE-DISMC a reliable control solution, especially in changing environmental conditions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122530"},"PeriodicalIF":9.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422196","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":"Fuel properties characterization of hydrochars derived from agricultural digestate","authors":"Joanna Mikusińska ,&nbsp;Klaudia Szkadłubowicz ,&nbsp;Zuzanna Prus ,&nbsp;Monika Kuźnia ,&nbsp;Marcin Gajek ,&nbsp;Małgorzata Wilk","doi":"10.1016/j.renene.2025.122639","DOIUrl":"10.1016/j.renene.2025.122639","url":null,"abstract":"<div><div>Agricultural digestate is a by–product of biogas plant processes. Its composition is variable and depends on the type of raw feedstock used. Due to its high moisture content the digestate is suitable for hydrothermal carbonization (HTC). The HTC process is performed in a reactor where the feedstock is heated to a high temperature in an aqueous environment. As a result of the reaction, a solid product, process water and a gaseous product are generated. The gaseous product is obtained in trace amounts unlike the process water where the amount is significant. The rich in carbon solid product of the HTC process is hydrochar. Hydrochars can be used as an alternative to non–renewable fossil fuels. The aim of this paper was to investigate and characterize hydrochars derived from agricultural digestate at 190 °C, 200 °C and 210 °C and residence times of: 0.5, 1, 1.5, and 2 h. In addition, the fuel properties and combustion performance supported by an activation energy determination were evaluated. In brief, it was found that a higher temperature and longer residence time produced a more carbonaceous biofuel.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122639"},"PeriodicalIF":9.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422283","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":"Coordinated optimization of a novel integrated energy system considering ground source heat pump, organic Rankine cycle and power-to-gas","authors":"Xin-Yu Ren ,&nbsp;Zhi-Hua Wang ,&nbsp;Ling-Ling Li","doi":"10.1016/j.renene.2025.122624","DOIUrl":"10.1016/j.renene.2025.122624","url":null,"abstract":"<div><div>Against the backdrop of efforts to achieve \"carbon peak\" and \"carbon neutrality,\" integrated energy systems (IES) have become an important direction in the development of energy systems due to their advantages of high efficiency, energy saving, and environmental protection. In this paper, a synergistic planning approach for IES considering ground source heat pump (GSHP), organic Rankine cycle (ORC) and power-to-gas (P2G) is proposed. Firstly, this paper constructs a multi-objective planning model for IES that includes ORC, P2G, and GSHP techniques to balance the system's economy, environmental friendliness, and energy efficiency. Subsequently, GSHP heating/cooling ratio, ORC power supply ratio, and direct embedding of P2G are introduced to propose three novel operation strategies (improved following electrical load (IFEL), improved following thermal load (IFTL), and improved following hybrid load (IFHL)). In addition, a novel multi-objective optimizer is proposed to optimize the component sizes and performance of the IES under the proposed different operating strategies. The validity and feasibility of the proposed methodology and operational strategy are verified by analyzing specific cases. The results show that the proposed IES under the operation of IFEL strategy outperforms IFTL and IFHL in terms of improved energy efficiency, reduced operating costs and reduced carbon emissions. Its annual economic cost, energy consumption and pollutant emissions amounted to 979,699.10 $, 10,557,646.34 kWh and 2,389,179.75 kg, respectively. This study not only provides a novel theoretical framework and technical means for the optimization and planning of IES, but also provides an important reference for the development of sustainable energy systems in the future.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122624"},"PeriodicalIF":9.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428047","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":"Analysis of green energy in sustainable transportation in developing nations through a decision support model","authors":"Muhammet Deveci ,&nbsp;Ilgin Gokasar ,&nbsp;Yu Chen ,&nbsp;Weizhong Wang ,&nbsp;Ali Eren Karaismailoğlu ,&nbsp;Jurgita Antucheviciene","doi":"10.1016/j.renene.2025.122643","DOIUrl":"10.1016/j.renene.2025.122643","url":null,"abstract":"<div><div>Countries are progressively integrating green energy sources into their long-term strategies in reaction to recent adverse geopolitical and environmental changes. Along with energy generation, lowering fossil fuel usage is crucial to solving the climate crisis. These efforts focus on the high-carbon transportation industry. Despite international transport and logistics emissions, individual transportation, public transit, and urban logistics contribute significantly to macro-scale carbon emissions. This change is necessary for sustainable global environmental solutions. Thus, a hybrid T-spherical decision-making model is presented to evaluate the role of green energy in transportation, integrating the logarithmic percentage change-driven objective weighting (LOPCOW) and simple weighted sum product (WISP) method. The proposed model is applied in a case study of evaluating the five alternatives using four aspects and fourteen subcriteria, which approves its practicality and efficacy. The T-spherical fuzzy LOPCOW method is utilized to measure the importance of criteria, which can eliminate negative values and dimensional inconsistencies. Then, the T-spherical fuzzy WISP method is developed to assess and prioritize the alternatives. The outcomes indicate that using the existing system (0.947) emerges as the best alternative for sustainability in developing countries. Further, sensitivity and comparison studies are organized to demonstrate the features of the presented model.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122643"},"PeriodicalIF":9.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422226","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":"A novel hydrochar production from corn stover and sewage sludge: Synergistic co-hydrothermal carbonization understandings through machine learning and modelling","authors":"Tiankai Zhang,&nbsp;Qi Wang","doi":"10.1016/j.renene.2025.122628","DOIUrl":"10.1016/j.renene.2025.122628","url":null,"abstract":"<div><div>The corn stover (CS) and sewage sludge (SS) were co-hydrothermal carbonized with three different mixing ratios were designed; 1/1, 1/2 and 1/3 calculated on CS/SS basis; temperature ranges (180, 200, 220 and 240) ⁰C and three different residence time of (1, 2 and 3) hour were selected by the current study. To understand the chemical characteristics synergistic influences of hydrochar attributes, van Krevelen diagram, principal component analysis, Pearson co-relation matrix, feature engineering and dep machine learning models were employed. To understand the combustion behavior of the hydrochar; thermogravimetric analysis was performed. The Tr-34; (mixing ratio 1/3, 240 °C and residence time of 1 h) was proved as the optimum with 23.21 MJ/kg of higher heating value, 76.25 % hydrochar yield and fuel ratio of 0.44. The FTIR spectrum of the same treatment had also confirmed the abundance of energy containing functional groups. Among feature engineering, fixed carbon was proved as the most important parameter with 76 % influences, governing the energy contents of the hydrochar. The linear, polynomial and ridge regression machine learning models had provided excellent fitness for the commercial hydrochar prediction with R² of 0.99.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122628"},"PeriodicalIF":9.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422202","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}