Regional allocation of EV chargers’ grid load
ABSTRACTThis study develops a multiscale model for allocation of EV infrastructure to accommodate residents’ demand during nights and that of residents and visitors during days under two scenarios: maximum 40% or 80% increase in load on the electricity grid. Developing a mixed-integer linear optimiz...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-04-01
|
| Series: | Annals of GIS |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475683.2023.2166111 |
| _version_ | 1797660364707463168 |
|---|---|
| author | Bardia Mashhoodi Pablo Muñoz Unceta |
| author_facet | Bardia Mashhoodi Pablo Muñoz Unceta |
| author_sort | Bardia Mashhoodi |
| collection | DOAJ |
| description | ABSTRACTThis study develops a multiscale model for allocation of EV infrastructure to accommodate residents’ demand during nights and that of residents and visitors during days under two scenarios: maximum 40% or 80% increase in load on the electricity grid. Developing a mixed-integer linear optimization model including regional traffic flow, local electricity demand and parking availability in Amsterdam Metropolitan Area (AMA), the scenarios’ optimal solutions offer different spatial strategies. This study shows that multiscale allocation of EV chargers substantially improves the efficiency of use: in both scenarios, more than 53% of EVs can charge at their daily destination. However, in the 40% scenario, the extra electricity load is homogeneously allocated across the towns and villages around the AMA centre. In an 80% scenario, in contrast, the load is concentrated in a few areas (1) accessible for substantial numbers of EVs at the regional scale, (2) with relatively low annual consumption, (3) reasonably high number of registered EVs to use chargers in the nights. The manuscript ends with a discussion of the results and their policy implications and offers further studies. |
| first_indexed | 2024-03-11T18:29:47Z |
| format | Article |
| id | doaj.art-32588f99e931422e9f066a418ae829c1 |
| institution | Directory Open Access Journal |
| issn | 1947-5683 1947-5691 |
| language | English |
| last_indexed | 2024-03-11T18:29:47Z |
| publishDate | 2023-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Annals of GIS |
| spelling | doaj.art-32588f99e931422e9f066a418ae829c12023-10-13T12:41:26ZengTaylor & Francis GroupAnnals of GIS1947-56831947-56912023-04-0129222724110.1080/19475683.2023.2166111Regional allocation of EV chargers’ grid loadBardia Mashhoodi0Pablo Muñoz Unceta1Landscape Architecture and Spatial Planning Group, Department of Environmental Sciences, Wageningen University & Research, Wageningen, NetherlandsFab Lab Barcelona, Institute for Advance Architecture of Catalonia, Barcelona, SpainABSTRACTThis study develops a multiscale model for allocation of EV infrastructure to accommodate residents’ demand during nights and that of residents and visitors during days under two scenarios: maximum 40% or 80% increase in load on the electricity grid. Developing a mixed-integer linear optimization model including regional traffic flow, local electricity demand and parking availability in Amsterdam Metropolitan Area (AMA), the scenarios’ optimal solutions offer different spatial strategies. This study shows that multiscale allocation of EV chargers substantially improves the efficiency of use: in both scenarios, more than 53% of EVs can charge at their daily destination. However, in the 40% scenario, the extra electricity load is homogeneously allocated across the towns and villages around the AMA centre. In an 80% scenario, in contrast, the load is concentrated in a few areas (1) accessible for substantial numbers of EVs at the regional scale, (2) with relatively low annual consumption, (3) reasonably high number of registered EVs to use chargers in the nights. The manuscript ends with a discussion of the results and their policy implications and offers further studies.https://www.tandfonline.com/doi/10.1080/19475683.2023.2166111Electric vehicleCharging infrastructureregional infrastructuregrid loadspatial optimization |
| spellingShingle | Bardia Mashhoodi Pablo Muñoz Unceta Regional allocation of EV chargers’ grid load Annals of GIS Electric vehicle Charging infrastructure regional infrastructure grid load spatial optimization |
| title | Regional allocation of EV chargers’ grid load |
| title_full | Regional allocation of EV chargers’ grid load |
| title_fullStr | Regional allocation of EV chargers’ grid load |
| title_full_unstemmed | Regional allocation of EV chargers’ grid load |
| title_short | Regional allocation of EV chargers’ grid load |
| title_sort | regional allocation of ev chargers grid load |
| topic | Electric vehicle Charging infrastructure regional infrastructure grid load spatial optimization |
| url | https://www.tandfonline.com/doi/10.1080/19475683.2023.2166111 |
| work_keys_str_mv | AT bardiamashhoodi regionalallocationofevchargersgridload AT pablomunozunceta regionalallocationofevchargersgridload |