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

Gespeichert in:

Autor*in:	Jain, Anjali [verfasserIn] Das, Partha [verfasserIn] Yamujala, Sumanth [verfasserIn] Bhakar, Rohit [verfasserIn] Mathur, Jyotirmay [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Energie / Energieökonomik / Energietechnik / Energiemanagement / Energieforschung
Schlagwörter:	Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability

Übergeordnetes Werk:	Enthalten in: Energy - Amsterdam [u.a.] : Elsevier Science, 1976, 211
Übergeordnetes Werk:	volume:211

DOI / URN:	10.1016/j.energy.2020.118993

Katalog-ID:	ELV004951123

Internformat


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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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650		4	\|a Geographical information system
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650		4	\|a On-shore wind
650		4	\|a Solar photovoltaic
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700	1		\|a Mathur, Jyotirmay \|e verfasserin \|4 aut
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912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 50.70 \|j Energie: Allgemeines
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Indexfelder

author_variant	a j aj p d pd s y sy r b rb j m jm
matchkey_str	article:18736785:2020----::eoreoetaadaibltassmnoslrn
hierarchy_sort_str	2020
bklnumber	50.70
publishDate	2020
allfields	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
allfieldsSound	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
language	English
source	Enthalten in Energy 211 volume:211
sourceStr	Enthalten in Energy 211 volume:211
format_phy_str_mv	Article
bklname	Energie: Allgemeines
institution	findex.gbv.de
topic_facet	Energie Energieökonomik Energietechnik Energiemanagement Energieforschung Geographical information system Multi-criteria-assessment On-shore wind Solar photovoltaic Spatial variability Temporal variability
dewey-raw	600
isfreeaccess_bool	false
container_title	Energy
authorswithroles_txt_mv	Jain, Anjali @@aut@@ Das, Partha @@aut@@ Yamujala, Sumanth @@aut@@ Bhakar, Rohit @@aut@@ Mathur, Jyotirmay @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	320597903
dewey-sort	3600
id	ELV004951123
language_de	englisch
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author	Jain, Anjali
spellingShingle	Jain, Anjali 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 Resource potential and variability assessment of solar and wind energy in India
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topic_title	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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title_full	Resource potential and variability assessment of solar and wind energy in India
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author_browse	Jain, Anjali Das, Partha Yamujala, Sumanth Bhakar, Rohit Mathur, Jyotirmay
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title_sort	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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title_short	Resource potential and variability assessment of solar and wind energy in India
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up_date	2024-07-07T00:41:12.751Z
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Resource potential and variability assessment of solar and wind energy in India

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