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Potential zones identification for harvesting wind energy resources in desert region of India - A multi criteria evaluation approach using remote sensing and GIS

机译:在印度沙漠地区识别风能资源的潜在区域识别-基于遥感和GIS的多标准评估方法

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Renewable energy is considered to be one of the viable options in consideration of intense economic development and increasing energy consumption. With maturity of advanced technologies, economical viable and environmental friendly, wind energy has become one of the fastest growing sources of renewable energy in the world. This study focuses on the combined use of geographic information systems (GIS) and spatial multi-criteria decision analysis for selecting the most appropriate sites for wind-farm development projects. This paper utilized wind speed data over a period of almost 20 years between 1991 and 2010 from different stations to assess the wind power potential sites. The wind energy potential zones were grouped into four categories as "high suitable", "moderate suitable", "low suitable" and "not suitable". The results show that the study area has 12.20% (2787.78 km(2)) as high suitable, 17.06% (3899.78 km(2)) as moderate suitable and 11.06% (2528.61 km(2)) as low suitable. The most potential suitable sites were located in the northwestern (along Osian, Shergargh, Dechu, and Shaitrawa, Phalodi) of Jodhpur district, India. This scientific approach will enable resource managers during planning process to make informed decisions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:考虑到经济的快速发展和能源消耗的增加,可再生能源被认为是可行的选择之一。随着先进技术的成熟,经济可行和环境友好,风能已成为世界上增长最快的可再生能源之一。这项研究的重点是结合使用地理信息系统(GIS)和空间多准则决策分析来选择最适合风电场开发项目的地点。本文利用1991年至2010年近20年间来自不同站点的风速数据来评估潜在的风电站点。风能势能区分为“高适合”,“中等适合”,“低适合”和“不适合”四类。结果表明,研究区域的高适合度为12.20%(2787.78 km(2)),中度适合度为17.06%(3899.78 km(2)),低度适合度为11.06%(2528.61 km(2))。最有潜力的合适地点位于印度焦特布尔地区的西北部(沿奥西安,Shergargh,Dechu和Phaidi Shaitrawa)。这种科学方法将使资源经理在计划过程中做出明智的决策。 (C)2016 Elsevier Ltd.保留所有权利。

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