A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems
<p dir="ltr">E-Mobility deployment has attained increased interest during recent years in various countries all over the world. This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from th...
محفوظ في:
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| مؤلفون آخرون: | |
| منشور في: |
2020
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| الموضوعات: | |
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| _version_ | 1864513512782430208 |
|---|---|
| author | Abdulla Al Wahedi (17115613) |
| author2 | Yusuf Bicer (14158977) |
| author2_role | author |
| author_facet | Abdulla Al Wahedi (17115613) Yusuf Bicer (14158977) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdulla Al Wahedi (17115613) Yusuf Bicer (14158977) |
| dc.date.none.fl_str_mv | 2020-09-30T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/en13195095 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Case_Study_in_Qatar_for_Optimal_Energy_Management_of_an_Autonomous_Electric_Vehicle_Fast_Charging_Station_with_Multiple_Renewable_Energy_and_Storage_Systems/25958209 |
| 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 Environmental engineering grid-independent fast-charging station electrical vehicle modeling; simulation optimization |
| dc.title.none.fl_str_mv | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">E-Mobility deployment has attained increased interest during recent years in various countries all over the world. This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from this sector. To secure the electricity required to satisfy Electric Vehicles’ (EVs’) charging needs without expanding or overloading the existing electricity infrastructure, stand-alone charging stations powered by renewable sources are considered as a reasonable solution. This paper investigates the simulation of the optimal energy management of a proposed grid-independent, multi-generation, fast-charging station in the State of Qatar, which comprises hybrid wind, solar and biofuel systems along with ammonia, hydrogen and battery storage units. The study aims to assess the optimal sizing of the solar, wind and biofuel units to be incorporated in the design along with the optimal ammonia, hydrogen and battery storage capacities to fulfill the daily EV demand in an uninterruptable manner. The main objective is to fast-charge a minimum of 50 EVs daily, while the constraints are the intermittent and volatile nature of renewable energy sources, the stochastic nature of EV demand, local meteorological conditions and land space limitations. The results show that the selection of a 468 kWp concentrated photovoltaic thermal plant, 250 kW-rated wind turbine, 10 kW biodiesel power generator unit and 595 kWh battery storage system, along with the on-site production of hydrogen and ammonia, to generate 200 kW power via fuel cells can achieve the desired target, with a total halt of on-site hydrogen and ammonia production during October and November and 50% reduction during December.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en13195095" target="_blank">https://dx.doi.org/10.3390/en13195095</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_4a001fd869f9df33ba610d4c473260a8 |
| identifier_str_mv | 10.3390/en13195095 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25958209 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage SystemsAbdulla Al Wahedi (17115613)Yusuf Bicer (14158977)EngineeringAutomotive engineeringElectrical engineeringEnvironmental engineeringgrid-independentfast-charging stationelectrical vehiclemodeling; simulationoptimization<p dir="ltr">E-Mobility deployment has attained increased interest during recent years in various countries all over the world. This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from this sector. To secure the electricity required to satisfy Electric Vehicles’ (EVs’) charging needs without expanding or overloading the existing electricity infrastructure, stand-alone charging stations powered by renewable sources are considered as a reasonable solution. This paper investigates the simulation of the optimal energy management of a proposed grid-independent, multi-generation, fast-charging station in the State of Qatar, which comprises hybrid wind, solar and biofuel systems along with ammonia, hydrogen and battery storage units. The study aims to assess the optimal sizing of the solar, wind and biofuel units to be incorporated in the design along with the optimal ammonia, hydrogen and battery storage capacities to fulfill the daily EV demand in an uninterruptable manner. The main objective is to fast-charge a minimum of 50 EVs daily, while the constraints are the intermittent and volatile nature of renewable energy sources, the stochastic nature of EV demand, local meteorological conditions and land space limitations. The results show that the selection of a 468 kWp concentrated photovoltaic thermal plant, 250 kW-rated wind turbine, 10 kW biodiesel power generator unit and 595 kWh battery storage system, along with the on-site production of hydrogen and ammonia, to generate 200 kW power via fuel cells can achieve the desired target, with a total halt of on-site hydrogen and ammonia production during October and November and 50% reduction during December.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en13195095" target="_blank">https://dx.doi.org/10.3390/en13195095</a></p>2020-09-30T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/en13195095https://figshare.com/articles/journal_contribution/A_Case_Study_in_Qatar_for_Optimal_Energy_Management_of_an_Autonomous_Electric_Vehicle_Fast_Charging_Station_with_Multiple_Renewable_Energy_and_Storage_Systems/25958209CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/259582092020-09-30T09:00:00Z |
| spellingShingle | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems Abdulla Al Wahedi (17115613) Engineering Automotive engineering Electrical engineering Environmental engineering grid-independent fast-charging station electrical vehicle modeling; simulation optimization |
| status_str | publishedVersion |
| title | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| title_full | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| title_fullStr | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| title_full_unstemmed | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| title_short | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| title_sort | A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems |
| topic | Engineering Automotive engineering Electrical engineering Environmental engineering grid-independent fast-charging station electrical vehicle modeling; simulation optimization |