Impact of electric vehicle growth on the electricity grid
18067
From 2018 to 2019
TML developed detailed EV uptake scenarios for Belgium and distributed the expected uptake at a fine spatial level. This data fed Baringa Partners' model to assess the impact of electric vehicles on the network under different scenarios.
This study aimed to predict the potential grid impact and investment costs due to the growing presence of electric vehicles (EVs) and evaluate measures that could help reduce these costs. We based this study on a granular spatial analysis of the number of EVs, charging behaviour, and network space, taking into account network characteristics.
As part of the work, an EV working group consisting of delegates from Synergrid members and TML, coordinated by Baringa Partners, developed a common vision and detailed assumptions about EVs in Belgium, which form the basis for this study. Between December 2018 and April 2019, the EV working group met five times to agree on the scope, methodology, and assumptions of the study and to review initial findings. TML built a spatial EV uptake model, projecting the EV uptake at the statistical sector level. Based on this data and the various assumptions agreed during the workshops, Baringa built the EV network impact model and assessed the EV network impact for different scenarios and mitigation strategies.
TML's role was firstly to develop country-level EV uptake scenarios in Belgium and secondly to assign EV uptake at a fine spatial level (statistical zones), relying on an econometric analysis, linking socio-economic characteristics (household income, urban vs. non-urban ...) to early or lagging EV uptake. The latter is important because the impact on the grid requires electricity consumption of EVs with fine geographical resolution.
Image: Estimated share of electric vehicles in the fleet in 2050, at statistical zone level (i.e., even finer than municipality), under a scenario where EVs have 90% of the market share in 2050.
This study aimed to predict the potential grid impact and investment costs due to the growing presence of electric vehicles (EVs) and evaluate measures that could help reduce these costs. We based this study on a granular spatial analysis of the number of EVs, charging behaviour, and network space, taking into account network characteristics.
As part of the work, an EV working group consisting of delegates from Synergrid members and TML, coordinated by Baringa Partners, developed a common vision and detailed assumptions about EVs in Belgium, which form the basis for this study. Between December 2018 and April 2019, the EV working group met five times to agree on the scope, methodology, and assumptions of the study and to review initial findings. TML built a spatial EV uptake model, projecting the EV uptake at the statistical sector level. Based on this data and the various assumptions agreed during the workshops, Baringa built the EV network impact model and assessed the EV network impact for different scenarios and mitigation strategies.
TML's role was firstly to develop country-level EV uptake scenarios in Belgium and secondly to assign EV uptake at a fine spatial level (statistical zones), relying on an econometric analysis, linking socio-economic characteristics (household income, urban vs. non-urban ...) to early or lagging EV uptake. The latter is important because the impact on the grid requires electricity consumption of EVs with fine geographical resolution.
Image: Estimated share of electric vehicles in the fleet in 2050, at statistical zone level (i.e., even finer than municipality), under a scenario where EVs have 90% of the market share in 2050.
