Developing an integrated social, economic, environmental, and technical analysis model for sustainable development using hybrid multi-criteria decision making methods. (15th February 2022)

• Record Type: Journal Article
• Authors: Singh, Shweta; Upadhyay, Surya Prakash; Powar, Satvasheel
• Is Part Of: Applied energy. Volume 308(2022)
• Publication Date: 2022-02-15
• Subjects: Hydropower -- Sustainability -- Infrastructure development -- MCDM -- Fuzzy methods; AHP Analytic Hierarchy Process -- ANP Analytic Network Process -- C1 Nearest railway station -- C2 Nearest airport -- CEA Central Electricity Authority -- COD Commercial Operation Date -- CSD Commission on Sustainable Development -- Ci Closeness coefficient -- DPR Detailed Project Report -- E1 Capital cost of development -- E2 Project cost -- E3 Environment management cost -- EN1 Forest land affected -- EN2 Forest land acquired -- EN3 Submergence area -- EN4 Deforestation -- ESI Electronic Supplementary Information -- FNIS (A-) Fuzzy Negative Ideal Solution -- FPIS (A*) Fuzzy Positive Ideal Solution -- Ki Utility function -- kj Coefficient value -- MC Main Criteria -- MC1 Social Criteria -- MC2 Economic Criteria -- MC3 Environmental Criteria -- MC4 Technical Criteria -- MC5 Connectivity Criteria -- MCDM Multi-Criteria Decision Making -- MOORA Multi-Objective Optimization by Ratio Analysis -- NHDC Narmada Hydroelectric Development Corporation -- NHPC National Hydropower Corporation -- Pi Optimality function value by WPM -- Pi Weighted normalised value by WPM method -- Qi Optimality function value by WSM -- Qi Weighted normalised value by WSM method -- qj Recalculated weight value -- RFCTLARR Right to Fair Compensation and Transparency in Land Acquisition, Rehabilitation and Resettlement -- rij Fuzzy normalised value of the jth criteria -- S1 Number of people whose agricultural land was acquired -- S2 Number of people who became landless and houseless -- S3 Number of people affected in other ways -- SEETA Social, Economic, Environmental and Technical Assessment -- SEZ Special Economic Zone -- SWARA Stepwise Weighted Assessment Ratio Analysis -- Si∗ Euclidean distance of alternatives from FPIS -- Si- Euclidean distance of alternative from FNIS -- Sj Comparative importance of average value -- T1 Design energy -- T2 Rated head -- T3 Design discharge -- TOPSIS Technique for Order of Preference by Similarity to Ideal Solution -- vij Weighted normalised fuzzy value of the jth criteria -- ij Normalised triangular fuzzy number values -- W Final weight -- WASPAS Weighted Aggregated Sum Product Assessment -- WCED World Commission on Environment and Development -- WPM Weighted Product Model -- WSM Weighted Sum Model -- wj Related weights -- XijÌ¿ Values of the normalised fuzzy decision matrix -- Yi Combined assessment value -- Λ Multiplying factor; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2021.118235
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: The study depicts societal issues associated with the development projects. A road map developed that focuses on avenues related to establishment of new development projects. The SEETA model, based on Multi-Criteria Decision Making techniques is proposed. Model is demonstrated using comparison of fourteen hydropower plants. The hydropower plants are compared around five main and fifteen sub-criteria. Abstract: Selecting an appropriate location for a large infrastructure project poses difficult situations. It shall satisfy sustainability indicators and establish harmony among multiple goals of multiple stakeholders. In such a situation, Multi-Criteria Decision Making techniques allow assessing qualitative and quantitative attributes, analysing and removing subjective biases and help in arriving at objective decisions. However, a single Multi-Criteria Decision Making technique may not be an effective tool to generate concrete results as there is no validation of the results. By utilising hybrid Multi-Criteria Decision Making methods, one can incorporate, gauge, and assess the range of social, economic, and environmental impacts precisely and achieve an accurate result by validating results by other methods. Therefore, this paper develops a model called as Social, Economic, Environmental and Technical Assessment model. It combines four fuzzy Multi-Criteria Decision Making techniques viz. Fuzzy Stepwise Weighted Assessment Ratio Analysis, Fuzzy Multi-Objective Optimization by Ratio Analysis, Fuzzy Weighted Aggregated Sum Product Assessment and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution. This paper utilises the case of hydropower plants in India, how the policy and decision-makers can arrive at the selection of the best location for an infrastructure project. According to the assessment value, Teesta Low Dam IV (Darjeeling, West Bengal) is the preferred hydropower plant for all selected methods. The State could bring social justice, ecological stability; achieve economic benefits and sustainability by appropriating this proposed model in other development fields.