Modeling the impact of electric vehicle adoption and charging strategies in ERCOT
Electric vehicle (EV) deployment provides an opportunity to reduce emissions in Texas, which has the greatest transportation emissions in the United States. This study aims to evaluate the impact of light-duty EV (LDEV) adoption through a capacity expansion model of the Texas power grid (Electric Re...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2024-01-01
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| Series: | Environmental Research: Energy |
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| Online Access: | https://doi.org/10.1088/2753-3751/ad96bc |
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| author | Sara Murillo Jerry Potts Sergio Castellanos |
| author_facet | Sara Murillo Jerry Potts Sergio Castellanos |
| author_sort | Sara Murillo |
| collection | DOAJ |
| description | Electric vehicle (EV) deployment provides an opportunity to reduce emissions in Texas, which has the greatest transportation emissions in the United States. This study aims to evaluate the impact of light-duty EV (LDEV) adoption through a capacity expansion model of the Texas power grid (Electric Reliability Council of Texas, ERCOT). Particularly, this work investigates how various LDEV adoption rates and charging strategies (i.e., managed and unmanaged) affect the electricity generation capacity mix, hourly dispatch, transmission capacity, carbon emissions, and costs in ERCOT. Our findings show that unmanaged charging strategies can lead to 30%–70% cumulative tailpipe CO2 emission reductions in the power and transportation sectors by 2050, depending on whether the LDEV adoption is 50% or 100%, respectively. These CO2 reductions are associated with 2.5%–6.7% increases in total power system costs compared to a scenario with no EV adoption. Furthermore, we find that managed charging can lead to 10% less transmission capacity compared to unmanaged charging in the complete LDV electrification scenarios. These results indicate that policies incentivizing EV adoption and managed charging strategies can facilitate sustainable decarbonization in the transportation sector while minimally increasing costs relative to a scenario without increased EV adoption. |
| format | Article |
| id | doaj-art-6faeaf0d85bb45dfa360f0039c410702 |
| institution | OA Journals |
| issn | 2753-3751 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research: Energy |
| spelling | doaj-art-6faeaf0d85bb45dfa360f0039c4107022025-08-20T02:34:36ZengIOP PublishingEnvironmental Research: Energy2753-37512024-01-011404501610.1088/2753-3751/ad96bcModeling the impact of electric vehicle adoption and charging strategies in ERCOTSara Murillo0Jerry Potts1Sergio Castellanos2https://orcid.org/0000-0003-3935-6701Maseeh Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin , Austin, TX, United States of AmericaMaseeh Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin , Austin, TX, United States of AmericaMaseeh Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin , Austin, TX, United States of AmericaElectric vehicle (EV) deployment provides an opportunity to reduce emissions in Texas, which has the greatest transportation emissions in the United States. This study aims to evaluate the impact of light-duty EV (LDEV) adoption through a capacity expansion model of the Texas power grid (Electric Reliability Council of Texas, ERCOT). Particularly, this work investigates how various LDEV adoption rates and charging strategies (i.e., managed and unmanaged) affect the electricity generation capacity mix, hourly dispatch, transmission capacity, carbon emissions, and costs in ERCOT. Our findings show that unmanaged charging strategies can lead to 30%–70% cumulative tailpipe CO2 emission reductions in the power and transportation sectors by 2050, depending on whether the LDEV adoption is 50% or 100%, respectively. These CO2 reductions are associated with 2.5%–6.7% increases in total power system costs compared to a scenario with no EV adoption. Furthermore, we find that managed charging can lead to 10% less transmission capacity compared to unmanaged charging in the complete LDV electrification scenarios. These results indicate that policies incentivizing EV adoption and managed charging strategies can facilitate sustainable decarbonization in the transportation sector while minimally increasing costs relative to a scenario without increased EV adoption.https://doi.org/10.1088/2753-3751/ad96bcelectric vehiclesERCOTgrid planningcharging strategy |
| spellingShingle | Sara Murillo Jerry Potts Sergio Castellanos Modeling the impact of electric vehicle adoption and charging strategies in ERCOT Environmental Research: Energy electric vehicles ERCOT grid planning charging strategy |
| title | Modeling the impact of electric vehicle adoption and charging strategies in ERCOT |
| title_full | Modeling the impact of electric vehicle adoption and charging strategies in ERCOT |
| title_fullStr | Modeling the impact of electric vehicle adoption and charging strategies in ERCOT |
| title_full_unstemmed | Modeling the impact of electric vehicle adoption and charging strategies in ERCOT |
| title_short | Modeling the impact of electric vehicle adoption and charging strategies in ERCOT |
| title_sort | modeling the impact of electric vehicle adoption and charging strategies in ercot |
| topic | electric vehicles ERCOT grid planning charging strategy |
| url | https://doi.org/10.1088/2753-3751/ad96bc |
| work_keys_str_mv | AT saramurillo modelingtheimpactofelectricvehicleadoptionandchargingstrategiesinercot AT jerrypotts modelingtheimpactofelectricvehicleadoptionandchargingstrategiesinercot AT sergiocastellanos modelingtheimpactofelectricvehicleadoptionandchargingstrategiesinercot |