{"title":"海上风电优化策略研究","authors":"Jing Wang, Xiongfei Wei, Ronaldo Juanatas","doi":"10.1093/ijlct/ctad024","DOIUrl":null,"url":null,"abstract":"\n Offshore wind power is considered a promising renewable energy, unfortunately, its weighted average levelized cost of electricity (LCOE) is still too high to compete with renewable energies such as photovoltaics, this is in large part due to the high construction cost of offshore wind power, even though it has fallen substantially with technological advances and the accumulation of experience. This paper optimizes the cost from two aspects, since large-scale wind farms have better bargaining and scheduling power, we analyze in detail the relationship between the cost of different key components and the scale of the wind farm, and, if the decommissioned wind farm chooses to repower, costs such as cables and foundations can be saved, which can further reduce the costs. Our studies show that compared to a 400 MW offshore wind farm, a 1,000 MW can reduce the unit cost by about 10.3%, and its cost is about 13,239 RMB/kW, if repowering is chosen, a further reduction of about 28.6%, its cost is about 9,450 RMB/kW. We recommend using larger offshore wind farms and choosing repowering after they are decommissioned to get better economics.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on the optimization strategy of offshore wind power\",\"authors\":\"Jing Wang, Xiongfei Wei, Ronaldo Juanatas\",\"doi\":\"10.1093/ijlct/ctad024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Offshore wind power is considered a promising renewable energy, unfortunately, its weighted average levelized cost of electricity (LCOE) is still too high to compete with renewable energies such as photovoltaics, this is in large part due to the high construction cost of offshore wind power, even though it has fallen substantially with technological advances and the accumulation of experience. This paper optimizes the cost from two aspects, since large-scale wind farms have better bargaining and scheduling power, we analyze in detail the relationship between the cost of different key components and the scale of the wind farm, and, if the decommissioned wind farm chooses to repower, costs such as cables and foundations can be saved, which can further reduce the costs. Our studies show that compared to a 400 MW offshore wind farm, a 1,000 MW can reduce the unit cost by about 10.3%, and its cost is about 13,239 RMB/kW, if repowering is chosen, a further reduction of about 28.6%, its cost is about 9,450 RMB/kW. We recommend using larger offshore wind farms and choosing repowering after they are decommissioned to get better economics.\",\"PeriodicalId\":14118,\"journal\":{\"name\":\"International Journal of Low-carbon Technologies\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Low-carbon Technologies\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1093/ijlct/ctad024\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Low-carbon Technologies","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/ijlct/ctad024","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Study on the optimization strategy of offshore wind power
Offshore wind power is considered a promising renewable energy, unfortunately, its weighted average levelized cost of electricity (LCOE) is still too high to compete with renewable energies such as photovoltaics, this is in large part due to the high construction cost of offshore wind power, even though it has fallen substantially with technological advances and the accumulation of experience. This paper optimizes the cost from two aspects, since large-scale wind farms have better bargaining and scheduling power, we analyze in detail the relationship between the cost of different key components and the scale of the wind farm, and, if the decommissioned wind farm chooses to repower, costs such as cables and foundations can be saved, which can further reduce the costs. Our studies show that compared to a 400 MW offshore wind farm, a 1,000 MW can reduce the unit cost by about 10.3%, and its cost is about 13,239 RMB/kW, if repowering is chosen, a further reduction of about 28.6%, its cost is about 9,450 RMB/kW. We recommend using larger offshore wind farms and choosing repowering after they are decommissioned to get better economics.
期刊介绍:
The International Journal of Low-Carbon Technologies is a quarterly publication concerned with the challenge of climate change and its effects on the built environment and sustainability. The Journal publishes original, quality research papers on issues of climate change, sustainable development and the built environment related to architecture, building services engineering, civil engineering, building engineering, urban design and other disciplines. It features in-depth articles, technical notes, review papers, book reviews and special issues devoted to international conferences. The journal encourages submissions related to interdisciplinary research in the built environment. The journal is available in paper and electronic formats. All articles are peer-reviewed by leading experts in the field.