{"title":"优化印尼风机选址和风电场布局","authors":"","doi":"10.20508/ijrer.v13i3.14070.g8806","DOIUrl":null,"url":null,"abstract":"Wind resource assessments are required to identify a specific area capable of producing valuable energy from wind speeds. This paper aims to optimize wind assessment through wind farm siting and layout in Indonesia’s semi-arid region. Wind data collected on Sumba Island over a one-year period was analyzed to assess the area's wind energy potential. Wind Atlas Analysis and Application Programme (WAsP) and Windographer were used to generate a generalized wind climate and resource maps for the area. Wind farm layout and preliminary turbine micro-sitting were completed with various scenarios in mind to achieve the best possible result. Four different scenarios are considered to maximize power output. There are 34 identical wind turbines with a unit capacity of 90 kW in Scenario 1. Scenario 2 includes 20 identical wind turbines with a total capacity of 3000 kW. In Scenario 3, 14 identical wind turbines with 225 kW of unit capacity are used. There are 12 identical wind turbines with a unit capacity of 250 kW in Scenario 4. The results showed that scenario 1 produced the highest total net Annual Energy Production (AEP) of 11,287 MWh/year with a 3.73 % wake loss. The minimum wake loss seemed to be 2.62 % in scenario 4, with a total net AEP of 10,22MWh/year.","PeriodicalId":14385,"journal":{"name":"International Journal of Renewable Energy Research","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing Turbine Siting and Wind Farm Layout in Indonesia\",\"authors\":\"\",\"doi\":\"10.20508/ijrer.v13i3.14070.g8806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind resource assessments are required to identify a specific area capable of producing valuable energy from wind speeds. This paper aims to optimize wind assessment through wind farm siting and layout in Indonesia’s semi-arid region. Wind data collected on Sumba Island over a one-year period was analyzed to assess the area's wind energy potential. Wind Atlas Analysis and Application Programme (WAsP) and Windographer were used to generate a generalized wind climate and resource maps for the area. Wind farm layout and preliminary turbine micro-sitting were completed with various scenarios in mind to achieve the best possible result. Four different scenarios are considered to maximize power output. There are 34 identical wind turbines with a unit capacity of 90 kW in Scenario 1. Scenario 2 includes 20 identical wind turbines with a total capacity of 3000 kW. In Scenario 3, 14 identical wind turbines with 225 kW of unit capacity are used. There are 12 identical wind turbines with a unit capacity of 250 kW in Scenario 4. The results showed that scenario 1 produced the highest total net Annual Energy Production (AEP) of 11,287 MWh/year with a 3.73 % wake loss. The minimum wake loss seemed to be 2.62 % in scenario 4, with a total net AEP of 10,22MWh/year.\",\"PeriodicalId\":14385,\"journal\":{\"name\":\"International Journal of Renewable Energy Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Renewable Energy Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20508/ijrer.v13i3.14070.g8806\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Renewable Energy Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20508/ijrer.v13i3.14070.g8806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
摘要
需要对风力资源进行评估,以确定能够从风速中产生有价值能源的特定区域。本文旨在通过印尼半干旱地区风电场的选址和布局来优化风力评价。研究人员分析了在松巴岛上收集的一年来的风能数据,以评估该地区的风能潜力。利用Wind Atlas Analysis and Application program (WAsP)和Windographer生成了该地区的广义风气候和资源图。风电场布局和初步的涡轮机微安装在不同的场景中完成,以达到最好的结果。考虑了四种不同的场景来最大化功率输出。在情景1中,有34台相同的风力涡轮机,单位容量为90千瓦。场景2包括20台相同的风力涡轮机,总容量为3000千瓦。在方案3中,使用14台相同的风力涡轮机,单位容量为225千瓦。在情景4中,有12台相同的风力涡轮机,单位容量为250千瓦。结果表明,情景1产生的年净能源产量(AEP)最高,为11,287 MWh/年,尾迹损失为3.73%。在方案4中,最小尾迹损失似乎为2.62%,总净AEP为10,22兆瓦时/年。
Optimizing Turbine Siting and Wind Farm Layout in Indonesia
Wind resource assessments are required to identify a specific area capable of producing valuable energy from wind speeds. This paper aims to optimize wind assessment through wind farm siting and layout in Indonesia’s semi-arid region. Wind data collected on Sumba Island over a one-year period was analyzed to assess the area's wind energy potential. Wind Atlas Analysis and Application Programme (WAsP) and Windographer were used to generate a generalized wind climate and resource maps for the area. Wind farm layout and preliminary turbine micro-sitting were completed with various scenarios in mind to achieve the best possible result. Four different scenarios are considered to maximize power output. There are 34 identical wind turbines with a unit capacity of 90 kW in Scenario 1. Scenario 2 includes 20 identical wind turbines with a total capacity of 3000 kW. In Scenario 3, 14 identical wind turbines with 225 kW of unit capacity are used. There are 12 identical wind turbines with a unit capacity of 250 kW in Scenario 4. The results showed that scenario 1 produced the highest total net Annual Energy Production (AEP) of 11,287 MWh/year with a 3.73 % wake loss. The minimum wake loss seemed to be 2.62 % in scenario 4, with a total net AEP of 10,22MWh/year.
期刊介绍:
The International Journal of Renewable Energy Research (IJRER) is not a for profit organisation. IJRER is a quarterly published, open source journal and operates an online submission with the peer review system allowing authors to submit articles online and track their progress via its web interface. IJRER seeks to promote and disseminate knowledge of the various topics and technologies of renewable (green) energy resources. The journal aims to present to the international community important results of work in the fields of renewable energy research, development, application or design. The journal also aims to help researchers, scientists, manufacturers, institutions, world agencies, societies, etc. to keep up with new developments in theory and applications and to provide alternative energy solutions to current issues such as the greenhouse effect, sustainable and clean energy issues.