scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 12 (1) ◽  
pp. 75-90
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.

Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and a complex issue that decision makers usually face during planning process. In hydropower projects, it is important to consider technical, environmental and social parameters instead of purely economic ones for sustainability assessment and decision making. Multi-criteria decision making (MCDM) methods offer a practical approach to a problem having conflicting criteria. The flexibility to consider several criteria and objectives simultaneously made MCDM methods well accepted in the field of energy planning. This paper aims for applicability of MCDM methods which will facilitate the decision makers to select the most sustainable hydropower projects by making real and logical choices based on various sustainability criteria. For comprehensively rank hydropower projects of Indian region based on sustainability criteria four MCDM methods are applied i.e., analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II) and elimination and choice translating reality (ELECTRE III). To ensure better decision making the eight criteria selected are compatible to the sustainable development of hydropower projects.


2015 ◽  
Vol 73 (2) ◽  
pp. 283-291 ◽  
Author(s):  
Abdelhak Kessili ◽  
Saadia Benmamar

The aim of this paper is to develop a methodology for the prioritization of sewer rehabilitation projects for Algiers (Algeria) sewer networks to support the National Sanitation Office in its challenge to make decisions on prioritization of sewer rehabilitation projects. The methodology applies multiple-criteria decision making. The study includes 47 projects (collectors) and 12 criteria to evaluate them. These criteria represent the different issues considered in the prioritization of the projects, which are structural, hydraulic, environmental, financial, social and technical. The analytic hierarchy process (AHP) is used to determine weights of the criteria and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II) method is used to obtain the final ranking of the projects. The model was verified using the sewer data of Algiers. The results have shown that the method can be used for prioritizing sewer rehabilitation projects.


2020 ◽  
Vol 15 (4) ◽  
pp. 01-22
Author(s):  
Diego Valério de Godoy Delmonico ◽  
Hugo Henrique dos Santos ◽  
Octaviano Rojas Luiz ◽  
João Victor Rojas Luiz ◽  
Bárbara Stolte Bezerra ◽  
...  

Purpose – This paper aims to identify the main barriers to the development of Corporate Social Responsibility (CSR) in the view of a leading Non-governmental Organization (NGO). The proposed methodology evaluates the importance attached to different classes of barriers to CSR from a privileged perspective of a Brazilian NGO. Theoretical framework – This research was based on the current theory of barriers to CSR initiatives and multicriteria decision making. Design/methodology/approach – The Analytic Hierarchy Process (AHP) method was used for the assessment and prioritization of barriers to CSR through expert opinion. Ranking stability was tested by sensitivity analysis of the assigned weights. Findings – The results indicate that the main barrier is the lack of top management commitment. By contrast, the least determinant barriers were the lack of social auditing, diversity, and customer awareness. Originality/value – The article contributes by extending the application of multiple-criteria decision-making methods to CSR and evaluating the relative importance of the barriers. This study also offers empirical results that extend the discussion on barriers to social responsibility, guiding managers and decision makers who lead CSR initiatives in organizations to understand which barriers should be overcome, and where to spend managerial effort on. Keywords - Analytic hierarchy process; Multicriteria decision making; CSR; Non-governmental organizations; Sustainable development.


2014 ◽  
Vol 34 (7) ◽  
pp. 931-935 ◽  
Author(s):  
Nuria Padilla-Garrido ◽  
Francisco Aguado-Correa ◽  
Virginia Cortijo-Gallego ◽  
Francisca López-Camacho

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 211 ◽  
Author(s):  
Chia-Nan Wang ◽  
Hsiung-Tien Tsai ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Ying-Fang Huang

Selecting suppliers plays an important role in improving efficiency of supply chains. In the field of extraction of vegetable oil, one of the main submaterials is hexane solvent. Choosing a supplier of hexane solvent is a multicriteria decision-making task that decision-makers must have an understanding of the quantitative and qualitative elements for assessing the symmetrical impact of the criteria to reach the most accurate result. In this paper, the authors suggest a multicriteria decision-making (MCDM) model for N-hexane solvent (C6H14) supplier evaluation and selection for vegetable oil production. All criteria affecting to the hexane solvent supplier evaluation and selection process are defined by experts. Then, a fuzzy analytic hierarchy process (FAHP) multicriteria comparative analysis method has been applied for determining the weight of all criteria. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the optimal hexane solvent supplier. As a result, decision making unit 003 (DMU3) is the optimal supplier. The contribution of this research is to propose an MCDM model for hexane solvent supplier selection in the food industry. The work also proposed a useful guideline for supplier evaluation and selection processes in other industries.


Sign in / Sign up

Export Citation Format

Share Document