Abstract
As one of the promising renewable energy resources, solar-wind energy has increasingly become a regional engine in leading the economy and raising competitiveness. Selecting a solar-wind power station location can contribute to efficient utilization of resource and instruct long-term development of socio-economy. Since the selection procedure consists of several location alternatives and many influential criteria factors, the selection can be recognized as a multiple criteria decision-making (MCDM) problem. To better express multiple uncertainty information during the selection procedure, fuzzy set theory is introduced to manage that issue. Interval neutrosophic sets (INSs), which are characterized by truth-membership, indeterminacy-membership and falsity-membership functions in the interval numbers (INs) form, are feasible in modeling more uncertainty of reality. In this paper, a newly extended weighted aggregated sum product assessment (WASPAS) technique, which involves novel three procedures, is utilized to handle MCDM issues under INSs environment. Some modifications are conducted in the extended method comparing with the classical WASPAS method. The most obvious improvement of the extended method relies on that it can generate more realistic criteria weight information by an objective and subjective integrated criteria weight determination method. A case study concerning solar-wind power station location selection is implemented to demonstrate the applicability and rationality of the proposed method in practice. Its validity and feasibility are further verified by a sensitivity analysis and a comparative analysis. These analyses effectively reveal that the extended WASPAS technique can well match the reality and appropriately handle the solar-wind power station location selection problem.
Highlights
Remarkable growth of urbanization and industrialization make it imperative to increase widespread useable electricity for facilitating regional economy development [1]
Faced with multiple uncertainties in reality, the location selection case is considered within the Interval neutrosophic sets (INSs) circumstances for tackling such challenges
multiple criteria decision-making (MCDM) procedure, the selection in this paper is settled by an extended weighted aggregated sum product assessment (WASPAS) technique containing three procedures to reinforce its applicability to real situation
Summary
Remarkable growth of urbanization and industrialization make it imperative to increase widespread useable electricity for facilitating regional economy development [1]. Due to the increasing awareness of the global climate degradation, conventional energy resources cannot simultaneously meet the environmental challenge and energy demand [2]. The solar-wind energy system has gradually substituted the status of traditional energy for the friendly environment concern [3]. Solar-wind power station devotes to convert renewable resources such as solar and wind energy into power for supporting socio-economic requirement [4]. For better contributing to regional competition and determining future energy generation, it is significant to seek a good solar-wind power station location [5]. Some definitions and concepts of INs are recalled. Assume that there are two nonnegative INs a1 = a1L , aU.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
