Türkiye's energy projection for 2050
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Date
2022
Authors
Selen Cekinir
Onder Ozgener
Leyla Ozgener
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In this study Türkiye's energy projection has been evaluated based on four different scenarios for 2050. Firstly Türkiye'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 Türkiye 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 Türkiye could achieve its energy targets and what needs to do to achieve it. This study aims to be a guide for determining Türkiye's energy policies. © 2023 Elsevier B.V. All rights reserved.
Description
Keywords
Energy, Energy Consumption, Energy Policy, Modelling, Prediction, Energy Policy, Forecasting, Neural Networks, Artificial Neural Network Modeling, Domestic Resources, Electricity Production, Energy, Energy Needs, Energy Projections, Energy-consumption, Modeling, Production Increase, Production Value, Energy Utilization, Energy policy, Forecasting, Neural networks, Artificial neural network modeling, Domestic resources, Electricity production, Energy, Energy needs, Energy projections, Energy-consumption, Modeling, Production increase, Production value, Energy utilization, PArticle Swarm Optimization, Energy, Climate-Change, Artificial Neural-Networks, Sustainable Development, Geothermal-Energy, Modelling, Energy consumption, Colony Optimization Approach, Demand Estimation, Particle Swarm Optimization, Wind Energy, Renewable Energy, Electricity Consumption, Prediction, Energy policy
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
14
Source
Renewable Energy Focus
Volume
43
Issue
Start Page
93
End Page
116
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Citations
CrossRef : 15
Scopus : 12
Captures
Mendeley Readers : 54
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