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dc.contributor.authorAgyekum, E. B.en
dc.contributor.authorKumar, N. M.en
dc.contributor.authorMehmood, U.en
dc.contributor.authorPanjwani, M. K.en
dc.contributor.authorHaes Alhelou, H.en
dc.contributor.authorAdebayo, T. S.en
dc.contributor.authorAl-Hinai, A.en
dc.date.accessioned2022-05-12T08:23:10Z-
dc.date.available2022-05-12T08:23:10Z-
dc.date.issued2021-
dc.identifier.citationDecarbonize Russia — A Best–Worst Method Approach for Assessing the Renewable Energy Potentials, Opportunities and Challenges / E. B. Agyekum, N. M. Kumar, U. Mehmood et al. // Energy Reports. — 2021. — Vol. 7. — P. 4498-4515.en
dc.identifier.issn2352-4847-
dc.identifier.otherAll Open Access, Gold3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111802-
dc.description.abstractRussia is known to be a country with enormous energy resources both renewables and non-renewables. Much of the country's effort towards energy generation has been on the development of the non-renewables over the years. This study examined the opportunities and challenges in Russia's Renewable energy (RE) sector. By coupling both interviews and literature reviews, a total of 8 main opportunities and 7 key challenges were identified and discussed. The Best–Worst-Method was used to assign weights to the various factors using inputs of 30 experienced experts in Russia's RE sector. According to the obtained results, the most significant opportunity that the country would have to take advantage of is the opportunity to export RE outside the shores of the country, it recorded 27.7 percent. This is followed by the country's target for the RE sector which scored 18%, hydrogen production and need to meet local energy requirements followed with 12% each. The greatest challenge which also serve as a hindrance to the development of RE in the country is the low attention given to clean technologies from government, it recorded a weight of 31.4%. This is followed by unequal playing field, and strict local content requirements which recorded 17.9% and 13.5%, respectively. The study ended with some strategic recommendations to authorities for the development of the sector. © 2021 The Authors.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden1
dc.publisherElsevier BVen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceEnergy Rep.2
dc.sourceEnergy Reportsen
dc.subjectBEST–WORST-METHODen
dc.subjectRENEWABLE ENERGYen
dc.subjectRENEWABLE ENERGY POLICYen
dc.subjectRUSSIAen
dc.subjectSOLAR ENERGYen
dc.subjectENERGY POLICYen
dc.subjectHYDROGEN PRODUCTIONen
dc.subjectBAD METHODSen
dc.subjectBEST–BAD-METHODen
dc.subjectENERGYen
dc.subjectENERGY GENERATIONSen
dc.subjectRENEWABLE ENERGIESen
dc.subjectRENEWABLE ENERGY POTENTIALSen
dc.subjectRENEWABLE ENERGY SECTORen
dc.subjectRENEWABLESen
dc.titleDecarbonize Russia — A Best–Worst Method Approach for Assessing the Renewable Energy Potentials, Opportunities and Challengesen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.egyr.2021.07.039-
dc.identifier.scopus85111277215-
local.contributor.employeeAgyekum, E.B., Department of Nuclear and Renewable Energy, Ural Federal University named after the first President of Russia Boris, 19 Mira Street, Yeltsin, Ekaterinburg 620002, Russian Federation; Kumar, N.M., School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong; Mehmood, U., Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore, Pakistan; Panjwani, M.K., Department of Energy Systems Engineering, Sukkur IBA University, Sukkur, 65200, Pakistan; Haes Alhelou, H., School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland; Adebayo, T.S., Faculty of Economics and Administrative Science, Cyprus International University, Northern Cyprus, Mersin 10, Nicosia, Turkey; Al-Hinai, A., Department of Electrical and Computer Engineering, Sultan Qaboos University, Muscat, Omanen
local.description.firstpage4498-
local.description.lastpage4515-
local.volume7-
dc.identifier.wos000701671000006-
local.contributor.departmentDepartment of Nuclear and Renewable Energy, Ural Federal University named after the first President of Russia Boris, 19 Mira Street, Yeltsin, Ekaterinburg 620002, Russian Federation; School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong; Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore, Pakistan; Department of Energy Systems Engineering, Sukkur IBA University, Sukkur, 65200, Pakistan; School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland; Faculty of Economics and Administrative Science, Cyprus International University, Northern Cyprus, Mersin 10, Nicosia, Turkey; Department of Electrical and Computer Engineering, Sultan Qaboos University, Muscat, Omanen
local.identifier.pure22980501-
local.identifier.eid2-s2.0-85111277215-
local.identifier.wosWOS:000701671000006-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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