Selecting an Appropriate Multi-Criteria Decision Analysis Technique for Renewable Energy Planning

2006 ◽  
Vol 1 (2) ◽  
pp. 181-193 ◽  
Author(s):  
Heracles Polatidis ◽  
Dias A. Haralambopoulos ◽  
Giussepe Munda ◽  
Ron Vreeker
2021 ◽  
Vol 13 (6) ◽  
pp. 3515
Author(s):  
Rodrigo A. Estévez ◽  
Valeria Espinoza ◽  
Roberto D. Ponce Oliva ◽  
Felipe Vásquez-Lavín ◽  
Stefan Gelcich

The global increase in renewable energy initiatives has been followed by the need to include the social impact of any project as a core element. Significant challenges for renewable energy development include uncertainty in assessing social impacts at local scales, participation and social acceptance. Multi-criteria decision analysis (MCDA) approaches have been widely used in energy planning to address these challenges. This article reviews how social criteria and participation mechanisms have been incorporated into decision-making processes for renewable energy projects. A total of 184 articles were analyzed. A total of 490 indicators that estimated social impacts were identified and organized into nine criteria: employment, social acceptance, social development, health impact, governance, visual impact, knowledge and awareness, cultural value and social justice. Most research included analytical hierarchy process methodologies, and the articles were geographically concentrated in Asia and Europe. Most articles included a participative component (92.3%), and the majority of them were based on expert consultation (75.4%). Of the articles that exclusively considered experts, almost 40% did not provide any description of the expert elicitation process. Results revealed advances in the use of MCDA but highlighted important challenges—related to improving expert consultation methodologies and broadening the participation of stakeholders—when developing renewable energy initiatives and policies.


2021 ◽  
Author(s):  
Susmita Bandyopadhyay

Abstract This paper has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision making, the entropy among the criteria. The dilemma of the decision makers has been captured through the use of Hesitant Fuzzy Elements; the information content among the criteria has been captured by applying the concept of entropy through the application of a technique called IDOCRIW. A kind of sensitivity analysis has been performed to verify the effectiveness of the proposed technique. The proposed method has also been compared with four different types of already existing MCDA techniques, AHP, MAUT, MACBETH and MOORA. Both the sensitivity analysis and the comparison with other methods establish the effectiveness of the proposed technique.


2021 ◽  
Vol 295 ◽  
pp. 126318
Author(s):  
Saman Nadizadeh Shorabeh ◽  
Meysam Argany ◽  
Javad Rabiei ◽  
Hamzeh Karimi Firozjaei ◽  
Omid Nematollahi

Sign in / Sign up

Export Citation Format

Share Document