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Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights
Cavallaro, Fausto | University of Molise | IT |
Zavadskas, Edmundas Kazimieras | Vilniaus Gedimino technikos universitetas | |
Lietuvos agrarinės ekonomikos institutas | ||
Mardani, Abbas | Universiti Teknologi Malaysia (UTM) | MY |
Date Issued | Volume | Start Page | End Page |
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2019 | 140 | 258 | 270 |
URI | Access Rights |
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DOI | Viso teksto dokumentas (prieiga prenumeratoriams) / Full Text Document (Access for Subscribers) |
https://hdl.handle.net/20.500.12259/265792 |
Concentrated solar power (CSP) technology has shown considerable long-term growth with varying levels of peak development and stall phases over the years. More and more countries are finding CSP technology attractive for the production of electricity and other applications. CSP offers a variety of applications where solar power can be used appropriately, although the debate about which CSP technology has a better future perspective is still ongoing. This technology sector has seen a multitude of advancements and technological innovations. These improvements are primarily concerned with the design of the collectors and the related materials they are made from, the heat transfer processes, and the production and accumulation of energy. In order to assess these CSP technologies, in this paper we propose a fuzzy multi-criteria method. Then, Solar tower (ST), Parabolic solar trough (PST), Compact linear Fresnel reflector (CLFR), and Dish Stirling (DS) are evaluated using a modified intuitionistic fuzzy TOPSIS with a trigonometric entropy vector weight.
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 5.846 | 3.436 | 3.334 | 3.537 | 2 | 1.673 | 2019 | Q1 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 5.846 | 3.436 | 3.436 | 3.537 | 2 | 1.673 | 2019 | Q1 |
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Technological Forecasting and Social Change | 8.7 | 2.617 | 1.815 | 2019 | Q1 |