T?rkiye?s energy projection for 2050
| dc.contributor.author | Selen Cekinir | |
| dc.contributor.author | Onder Ozgener | |
| dc.contributor.author | Leyla Ozgener | |
| dc.contributor.author | Ozgener, Leyla | |
| dc.contributor.author | Cekinir, Selen | |
| dc.contributor.author | Ozgener, Onder | |
| dc.date | DEC | |
| dc.date.accessioned | 2025-10-06T16:23:01Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In this study Turkiye's energy projection has been evaluated based on four different scenarios for 2050. Firstly Turkiye's electricity production amount in 2050 has been predicted by using an artificial neural network model in MATLAB. According to the prediction it has been revealed that to what extent which scenario can meet this production value. While doing this it has been considered whether Turkiye could meet its energy needs independently by using only its own resources. Then it has been determined how much production increase should be required for each domestic resource by 2050 to meet 100% of the need in each scenario. Also these scenarios have been evaluated and it has been decided which one is more important for energy independence and which one is more important for emission decrease. This is the first study that makes both an energy prediction for 2050 and reveals whether Turkiye could achieve its energy targets and what needs to do to achieve it. This study aims to be a guide for determin-ing Turkiye's energy policies. (c) 2022 Elsevier Ltd. All rights reserved. | |
| dc.identifier.doi | 10.1016/j.ref.2022.09.003 | |
| dc.identifier.issn | 1755-0084 | |
| dc.identifier.issn | 1878-0229 | |
| dc.identifier.scopus | 2-s2.0-85138616881 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.ref.2022.09.003 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/7625 | |
| dc.identifier.uri | https://doi.org/10.1016/j.ref.2022.09.003 | |
| dc.language.iso | English | |
| dc.publisher | ELSEVIER | |
| dc.relation.ispartof | Renewable Energy Focus | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | RENEWABLE ENERGY FOCUS | |
| dc.subject | Energy, Energy consumption, Modelling, Prediction, Energy policy | |
| dc.subject | COLONY OPTIMIZATION APPROACH, PARTICLE SWARM OPTIMIZATION, ARTIFICIAL NEURAL-NETWORKS, RENEWABLE ENERGY, WIND ENERGY, GEOTHERMAL-ENERGY, DEMAND ESTIMATION, ELECTRICITY CONSUMPTION, SUSTAINABLE DEVELOPMENT, CLIMATE-CHANGE | |
| dc.subject | Prediction | |
| dc.subject | Energy Policy | |
| dc.subject | Energy Consumption | |
| dc.subject | Modelling | |
| dc.subject | Energy | |
| dc.title | T?rkiye?s energy projection for 2050 | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 57660498900 | |
| gdc.author.scopusid | 6602415625 | |
| gdc.author.scopusid | 6506529474 | |
| gdc.author.wosid | Çekinir, Selen/HZM-2085-2023 | |
| gdc.author.wosid | Ozgener, Onder/GXI-2820-2022 | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | [Cekinir, Selen] Yasar Univ, Vocat Sch, Dept Comp Technol, TR-35100 Bornova, I?zmir, Turkey; [Cekinir, Selen] Ege Univ, Grad Sch Nat & Appl Sci, Solar Energy Sci Branch, TR-35100 Bornova, Izmir, Turkey; [Ozgener, Onder] Ege Univ, Solar Energy Inst, TR-35100 Bornova, Izmir, Turkey; [Ozgener, Leyla] Celal Bayar Univ, Fac Engn, Dept Mech Engn, TR-45140 Muradiye, Manisa, Turkey | |
| gdc.description.endpage | 116 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 93 | |
| gdc.description.volume | 43 | |
| gdc.description.woscitationindex | Emerging Sources Citation Index | |
| gdc.identifier.openalex | W4297091089 | |
| gdc.identifier.wos | WOS:000869766900003 | |
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| gdc.oaire.keywords | PArticle Swarm Optimization | |
| gdc.oaire.keywords | Energy | |
| gdc.oaire.keywords | Climate-Change | |
| gdc.oaire.keywords | Artificial Neural-Networks | |
| gdc.oaire.keywords | Sustainable Development | |
| gdc.oaire.keywords | Geothermal-Energy | |
| gdc.oaire.keywords | Modelling | |
| gdc.oaire.keywords | Energy consumption | |
| gdc.oaire.keywords | Colony Optimization Approach | |
| gdc.oaire.keywords | Demand Estimation | |
| gdc.oaire.keywords | Particle Swarm Optimization | |
| gdc.oaire.keywords | Wind Energy | |
| gdc.oaire.keywords | Renewable Energy | |
| gdc.oaire.keywords | Electricity Consumption | |
| gdc.oaire.keywords | Prediction | |
| gdc.oaire.keywords | Energy policy | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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| gdc.virtual.author | Çekinir, Selen | |
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| publicationvolume.volumeNumber | 43 | |
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