Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties

Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Oyewole, Oladimeji Lawrence [verfasserIn] Nwulu, Nnamdi Ikechi [verfasserIn] Okampo, Ewaoche John [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming

Übergeordnetes Werk:	Enthalten in: Energy conversion and management - Amsterdam [u.a.] : Elsevier Science, 1980, 300
Übergeordnetes Werk:	volume:300

DOI / URN:	10.1016/j.enconman.2023.117991

Katalog-ID:	ELV066674514

Internformat


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520			\|a Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy.
650		4	\|a Hydrogen Refuelling Station
650		4	\|a Green hydrogen for mobility sector
650		4	\|a Renewable Power System
650		4	\|a Robust Optimal Sizing
650		4	\|a Mixed Integer Linear Programming
650		4	\|a Mixed Integer Quadratic Constrained Programming
700	1		\|a Nwulu, Nnamdi Ikechi \|e verfasserin \|4 aut
700	1		\|a Okampo, Ewaoche John \|e verfasserin \|0 (orcid)0000-0001-6416-6809 \|4 aut
773	0	8	\|i Enthalten in \|t Energy conversion and management \|d Amsterdam [u.a.] : Elsevier Science, 1980 \|g 300 \|h Online-Ressource \|w (DE-627)320407659 \|w (DE-600)2000891-0 \|w (DE-576)12088352X \|7 nnns
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Indexfelder

author_variant	o l o ol olo n i n ni nin e j o ej ejo
matchkey_str	oyewoleoladimejilawrencenwulunnamdiikech:2023----:piadsgohdoebsdtrgwtayrdeealeegssecnieigcnm
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publishDate	2023
allfields	10.1016/j.enconman.2023.117991 doi (DE-627)ELV066674514 (ELSEVIER)S0196-8904(23)01337-7 DE-627 ger DE-627 rda eng 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Oyewole, Oladimeji Lawrence verfasserin (orcid)0000-0002-7353-5052 aut Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy. Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming Nwulu, Nnamdi Ikechi verfasserin aut Okampo, Ewaoche John verfasserin (orcid)0000-0001-6416-6809 aut Enthalten in Energy conversion and management Amsterdam [u.a.] : Elsevier Science, 1980 300 Online-Ressource (DE-627)320407659 (DE-600)2000891-0 (DE-576)12088352X nnns volume:300 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 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_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_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 300
spelling	10.1016/j.enconman.2023.117991 doi (DE-627)ELV066674514 (ELSEVIER)S0196-8904(23)01337-7 DE-627 ger DE-627 rda eng 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Oyewole, Oladimeji Lawrence verfasserin (orcid)0000-0002-7353-5052 aut Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy. Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming Nwulu, Nnamdi Ikechi verfasserin aut Okampo, Ewaoche John verfasserin (orcid)0000-0001-6416-6809 aut Enthalten in Energy conversion and management Amsterdam [u.a.] : Elsevier Science, 1980 300 Online-Ressource (DE-627)320407659 (DE-600)2000891-0 (DE-576)12088352X nnns volume:300 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 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_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_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 300
allfields_unstemmed	10.1016/j.enconman.2023.117991 doi (DE-627)ELV066674514 (ELSEVIER)S0196-8904(23)01337-7 DE-627 ger DE-627 rda eng 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Oyewole, Oladimeji Lawrence verfasserin (orcid)0000-0002-7353-5052 aut Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy. Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming Nwulu, Nnamdi Ikechi verfasserin aut Okampo, Ewaoche John verfasserin (orcid)0000-0001-6416-6809 aut Enthalten in Energy conversion and management Amsterdam [u.a.] : Elsevier Science, 1980 300 Online-Ressource (DE-627)320407659 (DE-600)2000891-0 (DE-576)12088352X nnns volume:300 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 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_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_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 300
allfieldsGer	10.1016/j.enconman.2023.117991 doi (DE-627)ELV066674514 (ELSEVIER)S0196-8904(23)01337-7 DE-627 ger DE-627 rda eng 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Oyewole, Oladimeji Lawrence verfasserin (orcid)0000-0002-7353-5052 aut Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy. Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming Nwulu, Nnamdi Ikechi verfasserin aut Okampo, Ewaoche John verfasserin (orcid)0000-0001-6416-6809 aut Enthalten in Energy conversion and management Amsterdam [u.a.] : Elsevier Science, 1980 300 Online-Ressource (DE-627)320407659 (DE-600)2000891-0 (DE-576)12088352X nnns volume:300 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 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_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_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 300
allfieldsSound	10.1016/j.enconman.2023.117991 doi (DE-627)ELV066674514 (ELSEVIER)S0196-8904(23)01337-7 DE-627 ger DE-627 rda eng 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Oyewole, Oladimeji Lawrence verfasserin (orcid)0000-0002-7353-5052 aut Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy. Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming Nwulu, Nnamdi Ikechi verfasserin aut Okampo, Ewaoche John verfasserin (orcid)0000-0001-6416-6809 aut Enthalten in Energy conversion and management Amsterdam [u.a.] : Elsevier Science, 1980 300 Online-Ressource (DE-627)320407659 (DE-600)2000891-0 (DE-576)12088352X nnns volume:300 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 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_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_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4393 GBV_ILN_4700 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 300
language	English
source	Enthalten in Energy conversion and management 300 volume:300
sourceStr	Enthalten in Energy conversion and management 300 volume:300
format_phy_str_mv	Article
bklname	Energie: Allgemeines Versorgungswirtschaft Energiespeicherung Regenerative Energieformen alternative Energieformen
institution	findex.gbv.de
topic_facet	Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming
dewey-raw	620
isfreeaccess_bool	false
container_title	Energy conversion and management
authorswithroles_txt_mv	Oyewole, Oladimeji Lawrence @@aut@@ Nwulu, Nnamdi Ikechi @@aut@@ Okampo, Ewaoche John @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	320407659
dewey-sort	3620
id	ELV066674514
language_de	englisch
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author	Oyewole, Oladimeji Lawrence
spellingShingle	Oyewole, Oladimeji Lawrence ddc 620 bkl 50.70 bkl 83.65 bkl 52.57 bkl 52.56 misc Hydrogen Refuelling Station misc Green hydrogen for mobility sector misc Renewable Power System misc Robust Optimal Sizing misc Mixed Integer Linear Programming misc Mixed Integer Quadratic Constrained Programming Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties
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topic_title	620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties Hydrogen Refuelling Station Green hydrogen for mobility sector Renewable Power System Robust Optimal Sizing Mixed Integer Linear Programming Mixed Integer Quadratic Constrained Programming
topic	ddc 620 bkl 50.70 bkl 83.65 bkl 52.57 bkl 52.56 misc Hydrogen Refuelling Station misc Green hydrogen for mobility sector misc Renewable Power System misc Robust Optimal Sizing misc Mixed Integer Linear Programming misc Mixed Integer Quadratic Constrained Programming
topic_unstemmed	ddc 620 bkl 50.70 bkl 83.65 bkl 52.57 bkl 52.56 misc Hydrogen Refuelling Station misc Green hydrogen for mobility sector misc Renewable Power System misc Robust Optimal Sizing misc Mixed Integer Linear Programming misc Mixed Integer Quadratic Constrained Programming
topic_browse	ddc 620 bkl 50.70 bkl 83.65 bkl 52.57 bkl 52.56 misc Hydrogen Refuelling Station misc Green hydrogen for mobility sector misc Renewable Power System misc Robust Optimal Sizing misc Mixed Integer Linear Programming misc Mixed Integer Quadratic Constrained Programming
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title	Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties
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title_full	Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties
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title_sort	optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties
title_auth	Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties
abstract	Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy.
abstractGer	Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy.
abstract_unstemmed	Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy.
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title_short	Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties
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author2	Nwulu, Nnamdi Ikechi Okampo, Ewaoche John
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up_date	2024-07-06T18:35:28.976Z
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This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hydrogen Refuelling Station</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Green hydrogen for mobility sector</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Renewable Power System</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Robust Optimal Sizing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mixed Integer Linear Programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mixed Integer Quadratic Constrained Programming</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nwulu, Nnamdi Ikechi</subfield><subfield code="e">verfasserin</subfield><subfield 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Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties

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