รหัสดีโอไอ 10.14457/TU.the.2018.121
Title Wind turbine site selection in Indonesia
Creator Galih Pambudi
Contributor Narameth Nananukul, Advisor
Publisher Thammasat University
Publication Year 2018
Keyword Dual data envelopment analysis ,Wind power plant ,Site selection ,Decision making unit
Abstract Wind farm sites are selected in spacious regions which have more output potential within constraint resources. Due to its spacious terrain, Indonesia has great potential for building wind power plants, providing the perfect settings to generate electricity using wind energy. Keeping in view the reliability and sustainability of wind farm sites, the selection of the most suitable locations for optimal result is of prime concern to generate greater amount of energy with less utilization of resources. In this study, the focus is on proposing a multi-criterion approach to find the most suitable location for building wind farms. Locations from every region of Indonesia were selected based on two levels defined by district level to province level. All districts and provinces are considered as Decision-Making Units (DMUs) which are used to measure the efficiency scores using Dual Data Envelopment Analysis (DDEA) method. Two levels are defined to find the best feasible locations within Indonesia from 165 districts and 33 provinces with major focus on geographical and structural technicality of each DMU. The results show that South Sumatra province has the highest priority potential for the construction of wind power plants, especially in the district of Palembang. West Papua, Papua and Maluku provinces have descending priority based on good infrastructure accessibility and less prone to natural disaster.
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บรรณานุกรม

Galih Pambudi และผู้แต่งคนอื่นๆ. (2018) Wind turbine site selection in Indonesia. Thammasat University:ม.ป.ท.
Galih Pambudi และผู้แต่งคนอื่นๆ. 2018. Wind turbine site selection in Indonesia. ม.ป.ท.:Thammasat University;
Galih Pambudi และผู้แต่งคนอื่นๆ. Wind turbine site selection in Indonesia. ม.ป.ท.:Thammasat University, 2018. Print.