Towards efficient implementation of solar plants: A priority analysis through multi-criteria decision approach
| Autor: | Farivar Fazelpour, Elham Roohi, Alireza Tajeddin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Sustainable development
Engineering Operations research business.industry 020209 energy TOPSIS 02 engineering and technology Energy planning Multiple-criteria decision analysis Solar energy Renewable energy 0202 electrical engineering electronic engineering information engineering Data envelopment analysis Energy supply business |
| Zdroj: | 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). |
| DOI: | 10.1109/eeeic.2017.7977480 |
| Popis: | By considering the growing demand for energy supply and increment in fossil fuel consumption which are accelerated by population growth, attentions have been focused on Renewable Energy Sources (RES). The corresponding environmental corollaries are another motivation to further follow this aim. Solar energy is willingly assented to be a reliable source in this regard. There are well-cited researches investigating about enhancing the efficiency of RESs particularly solar energy. Geographical and climatic conditions are crucial factors in designing a promising solar project. There are diverse approaches to optimize the energy planning systems. Multi-Criteria Decision Making (MCDM) analysis is a well-known approach employed for assessing the energy systems so as to find the most optimum case. There are several attempts applying different types of MCDM analysis in the pertinent literature. In this study, it has been managed to find the best approach for priority analysis of solar projects. Three major types of MCDM approaches have been evaluated including VIKOR, SAW and TOPSIS. The evaluation has been conducted in Iran as a high potential country in solar irradiation. In order to find the best approach, twenty five locations have been selected in deferent parts of the country with diverse climatic conditions. Furthermore, the considered criteria are technical, economic and environment ones which have been weighted through Entropy-Shannon methodology. The Methods have been evaluated by comparing with Data Envelopment Analysis result and applying a sensitivity analysis to the considered weights. It has been concluded that MCDM approaches are reliable methods for priority analysis and SAW is performing better comparing with other methods. |
| Databáze: | OpenAIRE |
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