A robust, resilience multi-criteria decision-making with risk approach: a case study for renewable energy location

Regarding hard situations like war, the increasing cost of extraction and exploration of fossil fuels make governments move toward green and clear renewable energy (RE). As a result, we propose a novel multi-criteria decision-making (MCDM) method for RE location (REL) for the first time. This model...

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Bibliographic Details
Published in:Environmental science and pollution research international 2023-03, Vol.30 (15), p.43267-43278
Main Authors: Lotfi, Reza, Gharehbaghi, Alireza, Mehrjardi, Mojtaba Sadreddini, Kheiri, Kiana, Ali, Sadia Samar
Format: Article
Language:English
Subjects:
Alternative energy sources
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Case studies
Clean energy
Coefficients
Decision Making
Design
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Fossil Fuels
Industrial engineering
Iran
Laboratories
Linear programming
Multiple criteria decision making
Multiple criterion
Renewable Energy
Renewable resources
Research Article
Resilience
Risk
Risk aversion
Robustness
Site selection
Uncertainty
Waste Water Technology
Water Management
Water Pollution Control
Wind farms
Wind power
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Summary:Regarding hard situations like war, the increasing cost of extraction and exploration of fossil fuels make governments move toward green and clear renewable energy (RE). As a result, we propose a novel multi-criteria decision-making (MCDM) method for RE location (REL) for the first time. This model suggests a Robust, Resilience MCDM with Risk approach (RRMCDMR) for REL. We propose a risk approach by adding a risk function in MCDM. A robust convex approach is used to tackle the uncertainty of the model for the real world. We compare the RRMCDMR problem in a wind farm location in Iran with different risk coefficient functions. As defined, Khaf, Nehbandan, and Esfarayan are in locations one to three in all modes. We changed the normalized risk function and suggested two other risk functions that can help risk-averse and risk-neutral decision-makers. We varied the robust convex coefficient and considered that by increasing the robust convex coefficient, the alternative score increased.
ISSN:1614-7499
0944-1344
1614-7499
DOI:10.1007/s11356-023-25223-1