Renewable Energies最新文献

Evaluation of primary frequency regulation in Dominican Republic mine using scooptrams and electric trucks as battery storage systems 利用戽斗车和电动卡车作为电池储能系统对多米尼加共和国矿山的初级频率调节进行评估

Renewable Energies Pub Date : 2024-07-01 DOI: 10.1177/27533735241262475

M. Aybar-Mejía, Arismendy José Del Orbe, José Gabriel Durán García, Deyslen Mariano-Hernández, Elvin Arnaldo Jiménez Matos, Giuseppe Sbriz-Zeitun, Máximo Alberto Domínguez Garabitos, Jesús Mercedes

{"title":"Evaluation of primary frequency regulation in Dominican Republic mine using scooptrams and electric trucks as battery storage systems","authors":"M. Aybar-Mejía, Arismendy José Del Orbe, José Gabriel Durán García, Deyslen Mariano-Hernández, Elvin Arnaldo Jiménez Matos, Giuseppe Sbriz-Zeitun, Máximo Alberto Domínguez Garabitos, Jesús Mercedes","doi":"10.1177/27533735241262475","DOIUrl":"https://doi.org/10.1177/27533735241262475","url":null,"abstract":"The use of electric vehicles in the mining sector aligns with the growing demand for tools that reduce energy consumption in productive processes. This study investigates how electric mining vehicles with vehicle-to-grid (V2G) technology can be integrated into power grids to improve system stability and frequency regulation. In the context of mining operations and the provision of auxiliary services (such as primary frequency regulation) to an interconnected electrical system, a regulatory framework that enables V2G integration should be established. This issue is addressed through a case study involving DIgSILENT PowerFactory simulations. The goal is to evaluate the productive process of a mine and the contribution of V2G technology to the primary frequency regulation of the electrical system under different scooptram integration parameters and battery electric trucks. This study also explores the challenges of V2G implementation in the absence of a regulatory framework. Different configurations of electric scooptrams and shovel that can affect frequency regulation are assessed. The obtained optimal configuration involves two truck loaders and three shovel loaders; the capacity of the current electrical infrastructure can support this configuration without affecting the capacity of the mine's electrical system. The simulations verify that applying V2G technology to mining vehicles helps stabilise the frequency of electrical systems and reduces the probability of component failure.","PeriodicalId":391981,"journal":{"name":"Renewable Energies","volume":"24 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141845790","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}

引用次数: 0

Policy insights into Aotearoa New Zealand's energy transition 新西兰奥特亚罗瓦能源转型的政策见解

Renewable Energies Pub Date : 2024-07-01 DOI: 10.1177/27533735241266300

Zuhaib Tayar Mirza, Timothy Anderson, Alan Brent, Jeff Seadon

{"title":"Policy insights into Aotearoa New Zealand's energy transition","authors":"Zuhaib Tayar Mirza, Timothy Anderson, Alan Brent, Jeff Seadon","doi":"10.1177/27533735241266300","DOIUrl":"https://doi.org/10.1177/27533735241266300","url":null,"abstract":"The transition from fossil fuels to low or zero-carbon alternatives needs to consider factors such as energy security, affordability, and sustainable development. While renewable energy is often said to be the way forward, the pathway for the transition is not clear. In response, this paper analysed the various dimensions that influence the energy transition in Aotearoa New Zealand. The study used qualitative tools, including expert interviews, to provide an interpretative perspective on renewable energy policy. It was observed that Aotearoa New Zealand has a positive outlook with its commitment to a just energy transition. The major strength includes a renewable energy-centric electricity sector and a holistic approach beyond fuel replacement. The analysis identified opportunities such as reductions in energy consumption, rapid decarbonisation of agriculture and awareness initiatives. Nevertheless, weaknesses such as coordination issues, and overreliance on subsidies have been identified as well. Policymakers need to find ways to balance economic growth, a just transition and overall energy consumption reduction. The paper strongly advocates for informed and collective decision-making to solve complex issues to ensure a sustainable and equitable future.","PeriodicalId":391981,"journal":{"name":"Renewable Energies","volume":"43 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141849780","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}

引用次数: 0

A computational intelligence approach for solar photovoltaic power generation forecasting 太阳能光伏发电预测的计算智能方法

Renewable Energies Pub Date : 2024-01-01 DOI: 10.1177/27533735241237990

S. Nesmachnow, C. Risso

{"title":"A computational intelligence approach for solar photovoltaic power generation forecasting","authors":"S. Nesmachnow, C. Risso","doi":"10.1177/27533735241237990","DOIUrl":"https://doi.org/10.1177/27533735241237990","url":null,"abstract":"This article describes an approach applying computational intelligence methods for the problem of forecasting solar photovoltaic power generation at country level. Precise forecast of power generation plays a vital role in designing a dependable photovoltaic power generation system. The computed predictions enable the implementation of efficient planning, management, and distribution strategies for the generated power, ultimately enhancing the performance and efficiency of the system. The study analyzes and compares artificial neural network approaches for a specific case study using real solar photovoltaic power generation data from Uruguay in the period 2018 to 2022. Several artificial neural network architectures are evaluated for forecasting. The main results indicate that the approach applying a combination of Encoder-Decoder and Long Short Term Memory artificial neural networks is the most effective method for the addressed forecasting problem. The approach yielded promising results, with an average mean error value of 0.09, improving over the other artificial neural network architectures. Even better results were obtained for sunny days. The generated forecasts hold significant value for its application in planning and scheduling processes, aiming to enhance the overall quality of service of the electricity grid.","PeriodicalId":391981,"journal":{"name":"Renewable Energies","volume":"40 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520678","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}

引用次数: 0

Renewable energies 可再生能源

Renewable Energies Pub Date : 2023-07-01 DOI: 10.1177/27533735231213356

Luis Hernández Callejo, S. Nesmachnow

引用次数: 0

Renewable Energies: Business Outlook 2050 可再生能源:商业展望2050

Renewable Energies Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-45364-4

F. Márquez, A. Karyotakis, M. Papaelias

引用次数: 30