Optimal planning of hybrid renewable energy systems using HOMER: A review

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• 作者：S. Bahramara ; M. Parsa Moghaddam ; ^{parsa@modares.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; M.R. Haghifam
• 关键词：EML ; electrical machinery laboratory ; TGS ; thermal generation station ; DRC ; Democratic Republic of Congo ; UAE ; United Arab Emirates ; K.S.A. ; Kingdom of Saudi Arabia ; UK ; United Kingdom ; MACS ; maximum annual capacity shortage ; USA ; United State of America ; MREF ; minimum renewable energy fraction ; WEOR ; wind energy operating reserve ; PVEOR ; PV energy operating reserve.
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：62
• 期：Complete
• 页码：609-620
• 全文大小：600 K

文摘

World energy consumption is rising due to population growth and increasing industrialization. Traditional energy resources cannot meet these requirements with notice to their challenges, e.g., greenhouse gas emission and high lifecycle costs. Renewable energy resources are the appropriate alternatives for traditional resources to meet the increasing energy consumption, especially in electricity sector. Integration of renewable energy resources with traditional fossil-based resources besides storages creates Hybrid Renewable Energy Systems (HRESs). To access minimum investment and operation costs and also meet the technical and emission constraints, optimal size of HRES׳s equipment should be determined. One of the most powerful tools for this purpose is Hybrid Optimization Model for Electric Renewables (HOMER) software that was developed by National Renewable Energy Laboratory (NREL), United States. This software has widely been used by many researchers around the world. In this paper a review of the state-of-the-art of researches, which use HOMER for optimal planning of HRES, is presented.