A Two-Stage Approach of DEA and AHP in Selecting Optimal Wind Power Plants

Sustainable development has become a global tendency in the growth orientation of governments. Renewable energies such as wind and solar have attracted many concerns in reducing the level of fossil fuels dependence. One of the most significant stages in such a transmission process is determining the...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on engineering management 2023-12, Vol.70 (12), p.4299-4309
Main Authors: Wang, Chia-Nan, Nguyen, Hoang-Phu, Wang, Jing-Wein
Format: Article
Language:English
Subjects:
Alternative energy sources
Analysis hierarchy process (AHP)
Analytic hierarchy process
Data envelopment analysis
data envelopment analysis (DEA)
Decision analysis
Decision making
Emerging markets
Fossil fuels
Hierarchies
Indexes
Mathematical models
Multiple criterion
Power plants
Renewable energy
Renewable energy sources
Renewable resources
Sustainable development
Vietnam
Wind farms
Wind power
Wind power generation
wind power plant
Wind speed
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Sustainable development has become a global tendency in the growth orientation of governments. Renewable energies such as wind and solar have attracted many concerns in reducing the level of fossil fuels dependence. One of the most significant stages in such a transmission process is determining the most suitable location. This article aims to propose a novelty approach combining two multiple criteria decision making models, namely data envelopment analysis (DEA) and analysis hierarchy process (AHP) to recommend the most optimal site for wind power plants. Vietnam has been one of the most successful ASEAN nations in attracting renewable energy investments; hence, the article considers it as a case study. In the first stage, there are five inputs and outputs conducted by DEA models to choose the five most potential alternatives among 12 locations for the next stage. In the second stage, the AHP model is implemented on five main criteria and 20 subcriteria that are referred to the options of experienced experts. The findings show that Ninh Thuan province, which is obtained with the highest final score (0.374), is the most suitable location for wind power plants construction. The article has contributed to renewable literature in terms of methodologies as well as to practice for both public and private stakeholders.
ISSN:0018-9391
1558-0040
DOI:10.1109/TEM.2021.3110519