Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics
<p dir="ltr">One of the key solutions to address the issue of energy efficiency and sustainable mobility is to integrate plug-in electric vehicle (EV) infrastructure and photovoltaic (PV) systems. The research proposes a comprehensive EV infrastructure planning and analysis tool (EVI...
محفوظ في:
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| مؤلفون آخرون: | , , |
| منشور في: |
2022
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513561712132096 |
|---|---|
| author | Heba M. Abdullah (16896384) |
| author2 | Adel Gastli (14151273) Lazhar Ben-Brahim (16855554) Semira O. Mohammed (16904622) |
| author2_role | author author author |
| author_facet | Heba M. Abdullah (16896384) Adel Gastli (14151273) Lazhar Ben-Brahim (16855554) Semira O. Mohammed (16904622) |
| author_role | author |
| dc.creator.none.fl_str_mv | Heba M. Abdullah (16896384) Adel Gastli (14151273) Lazhar Ben-Brahim (16855554) Semira O. Mohammed (16904622) |
| dc.date.none.fl_str_mv | 2022-02-07T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2022.3149944 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Planning_and_Optimizing_Electric-Vehicle_Charging_Infrastructure_Through_System_Dynamics/24056544 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Automotive engineering Electrical engineering Electronics, sensors and digital hardware Analytical models Planning System dynamics Predictive models Optimization Electric vehicle charging Data models Causal loop mapping Energy consumption estimation EV adoption Solar PV Infrastructure planning Work charging |
| dc.title.none.fl_str_mv | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">One of the key solutions to address the issue of energy efficiency and sustainable mobility is to integrate plug-in electric vehicle (EV) infrastructure and photovoltaic (PV) systems. The research proposes a comprehensive EV infrastructure planning and analysis tool (EVI-PAT) with solar power generation for micro-scale projects for the deployment of EV Charging Stations (EVCS). For the evaluation of the proposed infrastructure, a case study of Qatar University (QU) campus is chosen for the integration of the EV charging infrastructure and PV power generation to evaluate the performance of the presented framework. The model estimates the EV adoption and the number of vehicles based on the inputs related to the country’s EV adoption, campus vehicle count, and driving behavior. Economic and environmental indicators are used for evaluating policy choices. The findings in the paper show that the proposed planning framework can find the optimum staging plan for EV and PV infrastructure based on the policy choices. The staging plan optimizes the sizes and times of installing EVCSs combined with solar PV keeping the EV-PV project at maximum economic and environmental targets. The optimum policy can affect the optimum power infrastructure limit to maximize the economic benefit by the solar tariff.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3149944" target="_blank">https://dx.doi.org/10.1109/access.2022.3149944</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_00a92e3b8773875c01e6c7bbc648c8c7 |
| identifier_str_mv | 10.1109/access.2022.3149944 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24056544 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System DynamicsHeba M. Abdullah (16896384)Adel Gastli (14151273)Lazhar Ben-Brahim (16855554)Semira O. Mohammed (16904622)EngineeringAutomotive engineeringElectrical engineeringElectronics, sensors and digital hardwareAnalytical modelsPlanningSystem dynamicsPredictive modelsOptimizationElectric vehicle chargingData modelsCausal loop mappingEnergy consumption estimationEV adoptionSolar PVInfrastructure planningWork charging<p dir="ltr">One of the key solutions to address the issue of energy efficiency and sustainable mobility is to integrate plug-in electric vehicle (EV) infrastructure and photovoltaic (PV) systems. The research proposes a comprehensive EV infrastructure planning and analysis tool (EVI-PAT) with solar power generation for micro-scale projects for the deployment of EV Charging Stations (EVCS). For the evaluation of the proposed infrastructure, a case study of Qatar University (QU) campus is chosen for the integration of the EV charging infrastructure and PV power generation to evaluate the performance of the presented framework. The model estimates the EV adoption and the number of vehicles based on the inputs related to the country’s EV adoption, campus vehicle count, and driving behavior. Economic and environmental indicators are used for evaluating policy choices. The findings in the paper show that the proposed planning framework can find the optimum staging plan for EV and PV infrastructure based on the policy choices. The staging plan optimizes the sizes and times of installing EVCSs combined with solar PV keeping the EV-PV project at maximum economic and environmental targets. The optimum policy can affect the optimum power infrastructure limit to maximize the economic benefit by the solar tariff.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3149944" target="_blank">https://dx.doi.org/10.1109/access.2022.3149944</a></p>2022-02-07T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2022.3149944https://figshare.com/articles/journal_contribution/Planning_and_Optimizing_Electric-Vehicle_Charging_Infrastructure_Through_System_Dynamics/24056544CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240565442022-02-07T00:00:00Z |
| spellingShingle | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics Heba M. Abdullah (16896384) Engineering Automotive engineering Electrical engineering Electronics, sensors and digital hardware Analytical models Planning System dynamics Predictive models Optimization Electric vehicle charging Data models Causal loop mapping Energy consumption estimation EV adoption Solar PV Infrastructure planning Work charging |
| status_str | publishedVersion |
| title | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| title_full | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| title_fullStr | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| title_full_unstemmed | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| title_short | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| title_sort | Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics |
| topic | Engineering Automotive engineering Electrical engineering Electronics, sensors and digital hardware Analytical models Planning System dynamics Predictive models Optimization Electric vehicle charging Data models Causal loop mapping Energy consumption estimation EV adoption Solar PV Infrastructure planning Work charging |