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Impact of Local Factors on Decision Making – A Multi Criteria Modelling Framework in Wind Energy Investment


Affiliations
1 Centre for Technology Alternatives for Rural Areas, Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, India
2 Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, India
3 Advanced Materials and Processes Research Institute, Bhopal 462 024, India
 

Wind power is an important renewable energy generation technology, but the location of wind potential and wind power plant installation are not in complete sync with each other. Many national, state and local variables other than wind potential play a role in site selection. The weights given to different local variables during wind power investment decisions are not known and are difficult to estimate in data paucity settings in India. Accordingly, this study proposes a framework to estimate the weights given to different local parameters in wind power investment decisions. We use the case study of select districts in Maharashtra, India to test the framework. The investment predictions based on priority of local factors estimated by the proposed approach are in agreement with the actual investment in the wind energy sector.

Keywords

Agricultural Hierarchy Process, Renewable Energy, Wind Portal, Wind Power Plant.
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  • Impact of Local Factors on Decision Making – A Multi Criteria Modelling Framework in Wind Energy Investment

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Authors

Rahi Jain
Centre for Technology Alternatives for Rural Areas, Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, India
Riddhi Panse
Shailesh J. Mehta School of Management, Indian Institute of Technology-Bombay, Mumbai 400 076, India
Satanand Mishra
Advanced Materials and Processes Research Institute, Bhopal 462 024, India

Abstract


Wind power is an important renewable energy generation technology, but the location of wind potential and wind power plant installation are not in complete sync with each other. Many national, state and local variables other than wind potential play a role in site selection. The weights given to different local variables during wind power investment decisions are not known and are difficult to estimate in data paucity settings in India. Accordingly, this study proposes a framework to estimate the weights given to different local parameters in wind power investment decisions. We use the case study of select districts in Maharashtra, India to test the framework. The investment predictions based on priority of local factors estimated by the proposed approach are in agreement with the actual investment in the wind energy sector.

Keywords


Agricultural Hierarchy Process, Renewable Energy, Wind Portal, Wind Power Plant.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi12%2F2467-2472