Identification of environment and socio-economic impact factors for wind resource land mapping using ArcGIS, WaSP and Multi Criteria Decision analysis (MCDA)

Antony Mathew Sajan, J. Amarnath
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引用次数: 2

Abstract

The wind power potential in India estimated by Centre for Wind Energy Technology (CWET) at the macro level is around 48581 MW. This is based on the assumption that 1% land is available for wind farm development and a more precise estimation of the wind potential land in India considering the wind resource, electrical grid infrastructure, physical, socioeconomic and environment factors would further the development in a planned and systematic manner. This paper strives to identify impacts due to wind energy development regarding environment and socio-economic factors and its mitigation techniques.The identification of environment and socio-economic factors as one important input will assist in a larger study for the determination and quantification of wind resource potential land for wind energy projects into ranges and classes using ArcGIS, WaSP(Wind Analysis, Analysis and Application model) and Multi Criteria Decision making(MCDA).
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利用ArcGIS、WaSP和多准则决策分析(MCDA)识别风资源用地制图的环境和社会经济影响因素
据印度风能技术中心(CWET)估计,印度的风力发电潜力在宏观层面上约为48581兆瓦。这是基于1%的土地可用于风电场开发的假设,并且考虑到风力资源,电网基础设施,物理,社会经济和环境因素,对印度风力潜力土地进行更精确的估计,将以有计划和系统的方式进一步发展。本文力求确定由于风能开发对环境和社会经济因素及其缓解技术的影响。将环境和社会经济因素作为一个重要的输入,将有助于使用ArcGIS、WaSP(风能分析、分析和应用模型)和多标准决策(MCDA)确定和量化风能项目的风力资源潜力土地的范围和类别的更大规模研究。
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