Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM

EU countries face two major challenges in the energy sector – the control of carbon emissions and the high dependence on imported primary energy sources. Both European Commission and national governments actively develop, update and upgrade strategies and plans for the energy sector. They aim to ens...

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Autor principal: Petrov Iliyan
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Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/49efd8e981d04da094112a7a024a13a9
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spelling oai:doaj.org-article:49efd8e981d04da094112a7a024a13a92021-12-02T17:12:13ZRenewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM2267-124210.1051/e3sconf/202132702004https://doaj.org/article/49efd8e981d04da094112a7a024a13a92021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/103/e3sconf_pepm2021_02004.pdfhttps://doaj.org/toc/2267-1242EU countries face two major challenges in the energy sector – the control of carbon emissions and the high dependence on imported primary energy sources. Both European Commission and national governments actively develop, update and upgrade strategies and plans for the energy sector. They aim to ensure the gradual reaching of consecutive targets for increasing the weight of Renewable Energies (RE) in the European primary energy mix. The selection of Renewable Energy investment projects in these sectors involves different groups of experts who have to consider the specifics of different countries, regions, and technologies. The Decision-making process becomes more complicated, as in addition to political goals it has to ensure the efficiency and competitiveness of European economies. Several conflicting objectives have to be balanced with complex social, economic, technological, and environmental factors. Our study explores the application of combined methods and evaluation techniques for improving the assessment and selection of prospective RE projects. We implement an innovative integration of the Analytical Hierarchy Process (AHP) for block criteria systematization combined with objective Shannon Entropy in the MOORA evaluation.Petrov IliyanEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 327, p 02004 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Petrov Iliyan
Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM
description EU countries face two major challenges in the energy sector – the control of carbon emissions and the high dependence on imported primary energy sources. Both European Commission and national governments actively develop, update and upgrade strategies and plans for the energy sector. They aim to ensure the gradual reaching of consecutive targets for increasing the weight of Renewable Energies (RE) in the European primary energy mix. The selection of Renewable Energy investment projects in these sectors involves different groups of experts who have to consider the specifics of different countries, regions, and technologies. The Decision-making process becomes more complicated, as in addition to political goals it has to ensure the efficiency and competitiveness of European economies. Several conflicting objectives have to be balanced with complex social, economic, technological, and environmental factors. Our study explores the application of combined methods and evaluation techniques for improving the assessment and selection of prospective RE projects. We implement an innovative integration of the Analytical Hierarchy Process (AHP) for block criteria systematization combined with objective Shannon Entropy in the MOORA evaluation.
format article
author Petrov Iliyan
author_facet Petrov Iliyan
author_sort Petrov Iliyan
title Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM
title_short Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM
title_full Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM
title_fullStr Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM
title_full_unstemmed Renewable energies projects selection: block criteria systematization with AHP and Entropy-MOORA methods in MCDM
title_sort renewable energies projects selection: block criteria systematization with ahp and entropy-moora methods in mcdm
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/49efd8e981d04da094112a7a024a13a9
work_keys_str_mv AT petroviliyan renewableenergiesprojectsselectionblockcriteriasystematizationwithahpandentropymooramethodsinmcdm
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