Resource potential and variability assessment of solar and wind energy in India
With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short...
Ausführliche Beschreibung
Autor*in: |
Jain, Anjali [verfasserIn] Das, Partha [verfasserIn] Yamujala, Sumanth [verfasserIn] Bhakar, Rohit [verfasserIn] Mathur, Jyotirmay [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
Energie / Energieökonomik / Energietechnik / Energiemanagement / Energieforschung |
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Schlagwörter: |
Übergeordnetes Werk: |
Enthalten in: Energy - Amsterdam [u.a.] : Elsevier Science, 1976, 211 |
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Übergeordnetes Werk: |
volume:211 |
DOI / URN: |
10.1016/j.energy.2020.118993 |
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Katalog-ID: |
ELV004951123 |
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520 | |a With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. | ||
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700 | 1 | |a Mathur, Jyotirmay |e verfasserin |4 aut | |
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10.1016/j.energy.2020.118993 doi (DE-627)ELV004951123 (ELSEVIER)S0360-5442(20)32100-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Jain, Anjali verfasserin aut Resource potential and variability assessment of solar and wind energy in India 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability Das, Partha verfasserin (orcid)0000-0002-9716-3468 aut Yamujala, Sumanth verfasserin aut Bhakar, Rohit verfasserin aut Mathur, Jyotirmay verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 211 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:211 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 50.70 Energie: Allgemeines AR 211 |
spelling |
10.1016/j.energy.2020.118993 doi (DE-627)ELV004951123 (ELSEVIER)S0360-5442(20)32100-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Jain, Anjali verfasserin aut Resource potential and variability assessment of solar and wind energy in India 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability Das, Partha verfasserin (orcid)0000-0002-9716-3468 aut Yamujala, Sumanth verfasserin aut Bhakar, Rohit verfasserin aut Mathur, Jyotirmay verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 211 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:211 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 50.70 Energie: Allgemeines AR 211 |
allfields_unstemmed |
10.1016/j.energy.2020.118993 doi (DE-627)ELV004951123 (ELSEVIER)S0360-5442(20)32100-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Jain, Anjali verfasserin aut Resource potential and variability assessment of solar and wind energy in India 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability Das, Partha verfasserin (orcid)0000-0002-9716-3468 aut Yamujala, Sumanth verfasserin aut Bhakar, Rohit verfasserin aut Mathur, Jyotirmay verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 211 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:211 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 50.70 Energie: Allgemeines AR 211 |
allfieldsGer |
10.1016/j.energy.2020.118993 doi (DE-627)ELV004951123 (ELSEVIER)S0360-5442(20)32100-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Jain, Anjali verfasserin aut Resource potential and variability assessment of solar and wind energy in India 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability Das, Partha verfasserin (orcid)0000-0002-9716-3468 aut Yamujala, Sumanth verfasserin aut Bhakar, Rohit verfasserin aut Mathur, Jyotirmay verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 211 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:211 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 50.70 Energie: Allgemeines AR 211 |
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10.1016/j.energy.2020.118993 doi (DE-627)ELV004951123 (ELSEVIER)S0360-5442(20)32100-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Jain, Anjali verfasserin aut Resource potential and variability assessment of solar and wind energy in India 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability Das, Partha verfasserin (orcid)0000-0002-9716-3468 aut Yamujala, Sumanth verfasserin aut Bhakar, Rohit verfasserin aut Mathur, Jyotirmay verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 211 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:211 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 50.70 Energie: Allgemeines AR 211 |
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600 DE-600 50.70 bkl Resource potential and variability assessment of solar and wind energy in India 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability |
topic |
ddc 600 bkl 50.70 stw Energie stw Energieökonomik stw Energietechnik stw Energiemanagement stw Energieforschung misc Geographical information system misc Multi-criteria-assessment misc On-shore wind misc Solar photovoltaic misc Spatial variability misc Temporal variability |
topic_unstemmed |
ddc 600 bkl 50.70 stw Energie stw Energieökonomik stw Energietechnik stw Energiemanagement stw Energieforschung misc Geographical information system misc Multi-criteria-assessment misc On-shore wind misc Solar photovoltaic misc Spatial variability misc Temporal variability |
topic_browse |
ddc 600 bkl 50.70 stw Energie stw Energieökonomik stw Energietechnik stw Energiemanagement stw Energieforschung misc Geographical information system misc Multi-criteria-assessment misc On-shore wind misc Solar photovoltaic misc Spatial variability misc Temporal variability |
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title |
Resource potential and variability assessment of solar and wind energy in India |
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(DE-627)ELV004951123 (ELSEVIER)S0360-5442(20)32100-9 |
title_full |
Resource potential and variability assessment of solar and wind energy in India |
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Jain, Anjali |
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Energy |
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2020 |
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Jain, Anjali Das, Partha Yamujala, Sumanth Bhakar, Rohit Mathur, Jyotirmay |
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Elektronische Aufsätze |
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10.1016/j.energy.2020.118993 |
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resource potential and variability assessment of solar and wind energy in india |
title_auth |
Resource potential and variability assessment of solar and wind energy in India |
abstract |
With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. |
abstractGer |
With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. |
abstract_unstemmed |
With the growing concerns over climate change and energy security, the Government of India aims to enhance the share of solar and wind based Renewable Energy (RE) in energy mix. However, current official estimates of RE potential undervalue the actual scale of potential and they also fall way short of meeting the future low-carbon demand. These estimates are generally available at coarse spatial resolution of regions/states and do not provide information of RE temporal variability. Considering low resolution values in system planning may result in over/underestimation of other required resources like grid infrastructure and flexibility options. This calls for re-assessing India’s RE potential by a thorough examination of land suitability, and quantification of its spatial and temporal variability to support grid integration and system planning activities. |
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