Load demand profile for a large charging station of a fleet of all-electric plug-in buses
This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mario A. Rios [verfasserIn] Nestor M. Peña [verfasserIn] Gustavo A. Ramos [verfasserIn] Luis E. Muñoz [verfasserIn] Andres Felipe Botero [verfasserIn] Maria Paula Puentes [verfasserIn] |
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| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
load demand profile computation all-electric plug-in bus fleet electric propulsion mechanisms battery daily energy utilisation |
|---|
| Übergeordnetes Werk: |
In: The Journal of Engineering - Wiley, 2013, (2014) |
|---|---|
| Übergeordnetes Werk: |
year:2014 |
| Links: |
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| DOI / URN: |
10.1049/joe.2014.0152 |
|---|
| Katalog-ID: |
DOAJ05788272X |
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| 520 | |a This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. | ||
| 650 | 4 | |a electric propulsion | |
| 650 | 4 | |a battery powered vehicles | |
| 650 | 4 | |a public transport | |
| 650 | 4 | |a battery chargers | |
| 650 | 4 | |a Monte Carlo methods | |
| 650 | 4 | |a discrete event simulation | |
| 650 | 4 | |a queueing theory | |
| 650 | 4 | |a power supplies to apparatus | |
| 650 | 4 | |a demand side management | |
| 650 | 4 | |a load demand profile computation | |
| 650 | 4 | |a charging station | |
| 650 | 4 | |a all-electric plug-in bus fleet | |
| 650 | 4 | |a parking lot | |
| 650 | 4 | |a electric propulsion mechanisms | |
| 650 | 4 | |a battery daily energy utilisation | |
| 650 | 4 | |a Monte Carlo simulation | |
| 650 | 4 | |a route characteristics | |
| 650 | 4 | |a bus queue | |
| 650 | 4 | |a charging process | |
| 650 | 4 | |a power consumption | |
| 650 | 4 | |a battery charger power consumption | |
| 650 | 4 | |a electrical infrastructure | |
| 650 | 4 | |a power supply | |
| 653 | 0 | |a Engineering (General). Civil engineering (General) | |
| 700 | 0 | |a Nestor M. Peña |e verfasserin |4 aut | |
| 700 | 0 | |a Gustavo A. Ramos |e verfasserin |4 aut | |
| 700 | 0 | |a Luis E. Muñoz |e verfasserin |4 aut | |
| 700 | 0 | |a Andres Felipe Botero |e verfasserin |4 aut | |
| 700 | 0 | |a Maria Paula Puentes |e verfasserin |4 aut | |
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10.1049/joe.2014.0152 doi (DE-627)DOAJ05788272X (DE-599)DOAJfff4f3ed5fc34dbd808081587145db38 DE-627 ger DE-627 rakwb eng TA1-2040 Mario A. Rios verfasserin aut Load demand profile for a large charging station of a fleet of all-electric plug-in buses 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. electric propulsion battery powered vehicles public transport battery chargers Monte Carlo methods discrete event simulation queueing theory power supplies to apparatus demand side management load demand profile computation charging station all-electric plug-in bus fleet parking lot electric propulsion mechanisms battery daily energy utilisation Monte Carlo simulation route characteristics bus queue charging process power consumption battery charger power consumption electrical infrastructure power supply Engineering (General). Civil engineering (General) Nestor M. Peña verfasserin aut Gustavo A. Ramos verfasserin aut Luis E. Muñoz verfasserin aut Andres Felipe Botero verfasserin aut Maria Paula Puentes verfasserin aut In The Journal of Engineering Wiley, 2013 (2014) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2014 https://doi.org/10.1049/joe.2014.0152 kostenfrei https://doaj.org/article/fff4f3ed5fc34dbd808081587145db38 kostenfrei http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0152 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2014 |
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10.1049/joe.2014.0152 doi (DE-627)DOAJ05788272X (DE-599)DOAJfff4f3ed5fc34dbd808081587145db38 DE-627 ger DE-627 rakwb eng TA1-2040 Mario A. Rios verfasserin aut Load demand profile for a large charging station of a fleet of all-electric plug-in buses 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. electric propulsion battery powered vehicles public transport battery chargers Monte Carlo methods discrete event simulation queueing theory power supplies to apparatus demand side management load demand profile computation charging station all-electric plug-in bus fleet parking lot electric propulsion mechanisms battery daily energy utilisation Monte Carlo simulation route characteristics bus queue charging process power consumption battery charger power consumption electrical infrastructure power supply Engineering (General). Civil engineering (General) Nestor M. Peña verfasserin aut Gustavo A. Ramos verfasserin aut Luis E. Muñoz verfasserin aut Andres Felipe Botero verfasserin aut Maria Paula Puentes verfasserin aut In The Journal of Engineering Wiley, 2013 (2014) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2014 https://doi.org/10.1049/joe.2014.0152 kostenfrei https://doaj.org/article/fff4f3ed5fc34dbd808081587145db38 kostenfrei http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0152 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2014 |
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10.1049/joe.2014.0152 doi (DE-627)DOAJ05788272X (DE-599)DOAJfff4f3ed5fc34dbd808081587145db38 DE-627 ger DE-627 rakwb eng TA1-2040 Mario A. Rios verfasserin aut Load demand profile for a large charging station of a fleet of all-electric plug-in buses 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. electric propulsion battery powered vehicles public transport battery chargers Monte Carlo methods discrete event simulation queueing theory power supplies to apparatus demand side management load demand profile computation charging station all-electric plug-in bus fleet parking lot electric propulsion mechanisms battery daily energy utilisation Monte Carlo simulation route characteristics bus queue charging process power consumption battery charger power consumption electrical infrastructure power supply Engineering (General). Civil engineering (General) Nestor M. Peña verfasserin aut Gustavo A. Ramos verfasserin aut Luis E. Muñoz verfasserin aut Andres Felipe Botero verfasserin aut Maria Paula Puentes verfasserin aut In The Journal of Engineering Wiley, 2013 (2014) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2014 https://doi.org/10.1049/joe.2014.0152 kostenfrei https://doaj.org/article/fff4f3ed5fc34dbd808081587145db38 kostenfrei http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0152 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2014 |
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electric propulsion battery powered vehicles public transport battery chargers Monte Carlo methods discrete event simulation queueing theory power supplies to apparatus demand side management load demand profile computation charging station all-electric plug-in bus fleet parking lot electric propulsion mechanisms battery daily energy utilisation Monte Carlo simulation route characteristics bus queue charging process power consumption battery charger power consumption electrical infrastructure power supply Engineering (General). Civil engineering (General) |
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Mario A. Rios @@aut@@ Nestor M. Peña @@aut@@ Gustavo A. Ramos @@aut@@ Luis E. Muñoz @@aut@@ Andres Felipe Botero @@aut@@ Maria Paula Puentes @@aut@@ |
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Mario A. Rios misc TA1-2040 misc electric propulsion misc battery powered vehicles misc public transport misc battery chargers misc Monte Carlo methods misc discrete event simulation misc queueing theory misc power supplies to apparatus misc demand side management misc load demand profile computation misc charging station misc all-electric plug-in bus fleet misc parking lot misc electric propulsion mechanisms misc battery daily energy utilisation misc Monte Carlo simulation misc route characteristics misc bus queue misc charging process misc power consumption misc battery charger power consumption misc electrical infrastructure misc power supply misc Engineering (General). Civil engineering (General) Load demand profile for a large charging station of a fleet of all-electric plug-in buses |
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TA1-2040 Load demand profile for a large charging station of a fleet of all-electric plug-in buses electric propulsion battery powered vehicles public transport battery chargers Monte Carlo methods discrete event simulation queueing theory power supplies to apparatus demand side management load demand profile computation charging station all-electric plug-in bus fleet parking lot electric propulsion mechanisms battery daily energy utilisation Monte Carlo simulation route characteristics bus queue charging process power consumption battery charger power consumption electrical infrastructure power supply |
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Mario A. Rios Nestor M. Peña Gustavo A. Ramos Luis E. Muñoz Andres Felipe Botero Maria Paula Puentes |
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load demand profile for a large charging station of a fleet of all-electric plug-in buses |
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Load demand profile for a large charging station of a fleet of all-electric plug-in buses |
| abstract |
This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. |
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This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. |
| abstract_unstemmed |
This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station. |
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Load demand profile for a large charging station of a fleet of all-electric plug-in buses |
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Muñoz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Andres Felipe Botero</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Maria Paula Puentes</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">The Journal of Engineering</subfield><subfield code="d">Wiley, 2013</subfield><subfield code="g">(2014)</subfield><subfield code="w">(DE-627)75682270X</subfield><subfield code="w">(DE-600)2727074-9</subfield><subfield code="x">20513305</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2014</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield 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