Concentrated solar power (CSP) hybridized systems. Ranking based on an intuitionistic fuzzy multi-criteria algorithm

2018-02-13
Concentrated solar power (CSP) hybridized systems. Ranking based on an intuitionistic fuzzy multi-criteria algorithm

Concentrated solar power (CSP) technologies are becoming attractive in more and more countries for the production of electricity and other applications. Currently, the investment costs of CSP technologies are higher than traditional power plants, so a potential way to improve their commercial competitiveness could be the proper integration of CSP systems with other energy sources such as natural gas. This integration process, also known as “Hybridization,” can increase the economic value of the energy produced and help with the transition to “solar-only” power plants in the near future. To support a comparative assessment of the available solutions we suggest the development and application of a multicriteria algorithm. In this paper an intuitionistic fuzzy multicriteria approach combined with fuzzy entropy will be specifically proposed to rank different solar-hybrid power plants.

Keywords: Concentrated solar power (CSP); Solar-fossil; Intuitionistic fuzzy multicriteria; Shannon entropy; Sustainability.

Cavallaro, F.; Zavadskas, K. E.; Streimikiene, D. 2018. Concentrated solar power (CSP) hybridized systems. Ranking based on an intuitionistic fuzzy multi-criteria algorithm, In Journal of Cleaner Production Vol. 179, 1 April 2018, p. 407-416 https://doi.org/10.1016/j.jclepro.2017.12.269 ISSN 0959-6526 [Geographical Abstracts; Engineering Village - GEOBASE; Fluid Abstracts; FLUIDEX; Scopus; Science Citation Index Expanded].

Impact Factor: 5.715

5-Year Impact Factor: 6.207

SCImago Journal Rank (SJR): 1.615

© 2018 Elsevier

Concentrated solar power (CSP) hybridized systems. Ranking based on an intuitionistic fuzzy multi-criteria algorithm