Green energy sources selection for sustainable energy planning using multi-criteria decision-making approach

The objective of this research is to select the optimum green energy sources (GES) for sustainable energy planning from a given set of alternatives. This study proposes a hybrid model based on SWOT (Strength, Weakness, Opportunities, and Threats) and an integrated Entropy-Technique for Order of preference by Similarity to Ideal solution (TOPSIS) method for optimal GES. SWOT analysis is used to characterize the corresponding criterion of GES alternative. The information collected from the various energy sources related to different criteria for assessing the best alternative is always imprecise in nature. Thus, to reduce the impreciseness in data, entropy method is used, which extracts the precise weight from the available information. Again, TOPSIS method is applied to appraise the relative closeness to the ideal solution. The result shows that solar-photovoltaic is the most suitable sustainable GES, having highest score value evaluated by the integrated methodology. Thereafter, energy satisfaction index shows the effectiveness and robustness of the proposed integrated methodology.

[1]  S. K. Mukherjee,et al.  Integrating AHP with QFD for robot selection under requirement perspective , 2005 .

[2]  J. R. San Cristóbal,et al.  Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. , 2011 .

[3]  Ling Zhang,et al.  City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria , 2016 .

[4]  F. Hosseinzadeh Lotfi,et al.  Imprecise Shannon's Entropy and Multi Attribute Decision Making , 2010, Entropy.

[5]  Marco Cannemi,et al.  Modeling decision making as a support tool for policy making on renewable energy development , 2014 .

[6]  Yuan Liu,et al.  Optimization-based provincial hybrid renewable and non-renewable energy planning – A case study of Shanxi, China , 2017 .

[7]  Gülçin Büyüközkan,et al.  Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations , 2017 .

[8]  Amitava Ray,et al.  Anti-islanding selection for grid-connected solar photovoltaic system applications: A MCDM based distance approach , 2014 .

[9]  J. Psarras,et al.  A Linguistic Decision Support Model towards the Promotion of Renewable Energy , 2009 .

[10]  Jin-Soo Kim,et al.  Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP , 2010 .

[11]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .

[12]  Cherian Samuel,et al.  Selection of Best Renewable Energy Source by Using VIKOR Method , 2017 .

[13]  Ching-Ter Chang.  Multi-choice goal programming model for the optimal location of renewable energy facilities , 2015 .

[14]  Manfred Lenzen,et al.  Current State of Development of Electricity-Generating Technologies: A Literature Review , 2010 .

[15]  Y. V. Pavan Kumar,et al.  Integrating Renewable Energy Sources to an Urban Building in India: Challenges, Opportunities, and Techno-Economic Feasibility Simulation , 2015 .

[16]  Rahula A. Attalage,et al.  A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems , 2013 .

[17]  Amitava Ray,et al.  Optimal green energy planning for sustainable development: A review , 2017 .

[18]  Bjørn Ludwig.  On the Optimum Sustainable Energy Mix , 1999 .

[19]  Oriol Pons,et al.  Integrated value model for sustainable assessment applied to technologies used to build schools in Catalonia, Spain , 2012 .

[20]  Edmundas Kazimieras Zavadskas,et al.  Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches , 2015 .

[21]  Giorgio M. Vitetta,et al.  A Bayesian Demand-Side Management Strategy for Smart Micro-Grid , 2016 .