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Feb 16, 2022 01:30 PM - 03:00 PM(Europe/Amsterdam)
20220216T1330 20220216T1500 Europe/Amsterdam The potential of EVs for the Energy transition Virtual Room Reinventing the City events@ams-institute.org
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Can “behind the meter” EV charging support the Positive Energy District movement while taking stress of the distribution grid?View Abstract
Oral presentationUrban Energy 01:30 PM - 03:00 PM (Europe/Amsterdam) 2022/02/16 12:30:00 UTC - 2022/02/16 14:00:00 UTC
On one hand, the European Commission calls for 100 “Positive Energy Districts” (PEDs) to be in the phase between planning and termination by 2025. A PED is a neighbourhood that annually exports more energy than it imports [1]. On the other hand, many urban regions’ electricity distribution grids already struggle to cope with high power demands by electrification of transport and heating, as well as PV power exports during sunny hours. Amsterdam´s distribution system operator Liander announced that parts of the local electricity system already reached their maximal capacity [2], which is also mentioned in [3]. One solution that could “kill two birds with one stone” could be “behind the meter” electric vehicle charging by PV generation. This allows for further installation of PV panels on unused roof space and further charging capacity for electric vehicles without requiring additional grid capacity. Moreover, EV charging could be cleverly integrated into the concept of PEDs to increase the export of energy without straining the distribution grid. This work will focus on comparing “behind the meter” charging with “in front of the meter” charging in terms of cost and grid impact and will discuss preliminary results in the context of PEDs. [1] European Commission, “SET-Plan ACTION n°3.2 Implementation Plan,” 2018. [Online]. Available: https://jpi-urbaneurope.eu/wp-content/uploads/2018/09/setplan_smartcities_implementationplan.pdf. [2] Liander, “Transportcapaciteit in Amsterdam,” 2021. https://www.liander.nl/transportcapaciteit/amsterdam. [3] S. Halleck Vega, E. van Leeuwen, and N. van Twillert, “Uptake of residential energy efficiency measures and renewable energy: Do spatial factors matter?,” Energy Policy, vol. 160, Jan. 2022.
Presenters Axel Bruck
Instituto Tecnológico De Canarias, TU Vienna
The multifunctional transport grid with EV-chargers as a necessity for a sustainable PV-powered networkView Abstract
Oral presentationSmart Urban Mobility 01:30 PM - 03:00 PM (Europe/Amsterdam) 2022/02/16 12:30:00 UTC - 2022/02/16 14:00:00 UTC
The global transport sector relies heavily on fossil fuels that it is the second growing CO2-emitting sector, standing already at 22% to 24% of total GHG emissions [1], [2]. In Europe, this number is at 40% [3]. While the electrification of urban transportation is already a mature and efficient technology [4], the solution is only meaningful if the power comes from sustainable sources. PV systems are an attractive suggestion as they are DC systems like light rail networks, scalable, and easy to install in an urban environment. Indeed, among the Renewable Energy Sources (RES) possibilities for supplying transport grids, PV energy is currently the most promising and most studied source for this type of application [5]–[8]. Unfortunately, PV systems in transport grids do not generally offer independence from the AC grid, as a consequence of the mismatch between the intermittent PV power generation and the bus scheduling (absence of load). This creates the need for large, seasonal storage systems and/or exchange with the AC grid. This presentation looks at the results for a case study of the Arnhem (NL) and Gdynia (PL) trolleybus grids and shows how the path toward the sustainability of urban light rail must pass first through the transformation of these transport grids to multifunctional, active grids with a baseload of smart grid loads such as EV-chargers.
Presenters Ibrahim Diab
TU Delft
An operational bidding framework for aggregated electric vehicles on the electricity spot marketView Abstract
Oral presentationSmart Urban Mobility 01:30 PM - 03:00 PM (Europe/Amsterdam) 2022/02/16 12:30:00 UTC - 2022/02/16 14:00:00 UTC
We present a smart charging bidding framework that submits an optimal bid to the day-ahead electricity market by harnessing the flexibility of electric vehicles. Its optimization objective is to minimize the charging costs of the total EV fleet. The bidding framework consists of a forecasting module for the day-ahead price and for the EV flexibility, and of a linear optimization module to compose the most optimal bid. We explore several regression and machine learning models as possibility for the forecast modules. In order to assess the composition of a most optimal operational bidding framework, we compare the outcome of the bidding module when fed with each of these models. We show that the combination of forecasting modules that creates on average the lowest charging costs, lead to savings of around 26%. These costs are calculated by by considering the day-ahead price and the imbalance price as a penalty for forecasting errors. We find that the most accurate self-contained forecasting modules, do not deliver the best over-all results when included in the bidding framework.
Presenters Marieke Kootte
TU Delft
Co-Authors
LV
Lennard Visser
Universiteit Utrecht
Instituto Tecnológico de Canarias, TU Vienna
Wageningen Univeristy & Research
 Janneke Van Oorschot
Universiteit Leiden
Wageningen University
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