Türkiye’s energy projection for 2050
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...
Ausführliche Beschreibung
Autor*in: |
Cekinir, Selen [verfasserIn] Ozgener, Onder [verfasserIn] Ozgener, Leyla [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Renewable energy focus - Amsterdam [u.a.] : Elsevier Science, 2007, 43, Seite 93-116 |
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Übergeordnetes Werk: |
volume:43 ; pages:93-116 |
DOI / URN: |
10.1016/j.ref.2022.09.003 |
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Katalog-ID: |
ELV008936765 |
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520 | |a 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. | ||
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2022 |
allfields |
10.1016/j.ref.2022.09.003 doi (DE-627)ELV008936765 (ELSEVIER)S1755-0084(22)00075-8 DE-627 ger DE-627 rda eng 620 DE-600 Cekinir, Selen verfasserin aut Türkiye’s energy projection for 2050 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Energy Energy consumption Modelling Prediction Energy policy Ozgener, Onder verfasserin aut Ozgener, Leyla verfasserin aut Enthalten in Renewable energy focus Amsterdam [u.a.] : Elsevier Science, 2007 43, Seite 93-116 Online-Ressource (DE-627)578537273 (DE-600)2451929-7 (DE-576)28692093X 1878-0229 nnns volume:43 pages:93-116 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 43 93-116 |
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10.1016/j.ref.2022.09.003 doi (DE-627)ELV008936765 (ELSEVIER)S1755-0084(22)00075-8 DE-627 ger DE-627 rda eng 620 DE-600 Cekinir, Selen verfasserin aut Türkiye’s energy projection for 2050 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Energy Energy consumption Modelling Prediction Energy policy Ozgener, Onder verfasserin aut Ozgener, Leyla verfasserin aut Enthalten in Renewable energy focus Amsterdam [u.a.] : Elsevier Science, 2007 43, Seite 93-116 Online-Ressource (DE-627)578537273 (DE-600)2451929-7 (DE-576)28692093X 1878-0229 nnns volume:43 pages:93-116 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 43 93-116 |
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10.1016/j.ref.2022.09.003 doi (DE-627)ELV008936765 (ELSEVIER)S1755-0084(22)00075-8 DE-627 ger DE-627 rda eng 620 DE-600 Cekinir, Selen verfasserin aut Türkiye’s energy projection for 2050 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Energy Energy consumption Modelling Prediction Energy policy Ozgener, Onder verfasserin aut Ozgener, Leyla verfasserin aut Enthalten in Renewable energy focus Amsterdam [u.a.] : Elsevier Science, 2007 43, Seite 93-116 Online-Ressource (DE-627)578537273 (DE-600)2451929-7 (DE-576)28692093X 1878-0229 nnns volume:43 pages:93-116 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 43 93-116 |
allfieldsGer |
10.1016/j.ref.2022.09.003 doi (DE-627)ELV008936765 (ELSEVIER)S1755-0084(22)00075-8 DE-627 ger DE-627 rda eng 620 DE-600 Cekinir, Selen verfasserin aut Türkiye’s energy projection for 2050 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Energy Energy consumption Modelling Prediction Energy policy Ozgener, Onder verfasserin aut Ozgener, Leyla verfasserin aut Enthalten in Renewable energy focus Amsterdam [u.a.] : Elsevier Science, 2007 43, Seite 93-116 Online-Ressource (DE-627)578537273 (DE-600)2451929-7 (DE-576)28692093X 1878-0229 nnns volume:43 pages:93-116 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 43 93-116 |
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10.1016/j.ref.2022.09.003 doi (DE-627)ELV008936765 (ELSEVIER)S1755-0084(22)00075-8 DE-627 ger DE-627 rda eng 620 DE-600 Cekinir, Selen verfasserin aut Türkiye’s energy projection for 2050 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Energy Energy consumption Modelling Prediction Energy policy Ozgener, Onder verfasserin aut Ozgener, Leyla verfasserin aut Enthalten in Renewable energy focus Amsterdam [u.a.] : Elsevier Science, 2007 43, Seite 93-116 Online-Ressource (DE-627)578537273 (DE-600)2451929-7 (DE-576)28692093X 1878-0229 nnns volume:43 pages:93-116 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 43 93-116 |
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Elektronische Aufsätze |
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Cekinir, Selen |
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title_sort |
türkiye’s energy projection for 2050 |
title_auth |
Türkiye’s energy projection for 2050 |
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. |
abstractGer |
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. |
abstract_unstemmed |
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. |
collection_details |
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title_short |
Türkiye’s energy projection for 2050 |
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Ozgener, Onder Ozgener, Leyla |
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up_date |
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