- genre: poster
- title: Integration of offshore energy into national energy system: a case study
on Belgium - presenter: @Jmbenoun
- description: Offshore wind farms are typically connected to the mainland via HVAC or HVDC lines. Another possibility to transmit energy is using molecules instead of electricity which may lead to reduced cost and better storage opportunities. This poster proposes a multi-carrier (natural gas, electricity, and hydrogen) model of the Belgium energy system in 2050, under a carbon neutrality constraint, to assess whether an energy mix should contain offshore hydrogen production. While HV lines remain the main way of transmitting energy from the offshore farm to mainland, the results show that depending on the renewable capacities, the distance between the wind farm and the coast, and the price of hydrogen import, producing H2 offshore could be beneficial.
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genre: poster
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title: Integration of land use in a TIMES model of the European power system
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presenter: @victor-guillot
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description: The reduction of the share of fossil-based power plants in electricity production combined with the development of variable renewable energy systems (VRES) will lead to an increase in the land footprint of the European power system. Although the potential for VRES is sufficient for decarbonized electricity production, the massive development of these technologies may lead to uneven distribution of production sites and generate a lack of social acceptance. Low-carbon technologies like nuclear and carbon capture and storage (CCS) can be used to mitigate the increase in the land footprint. We propose to consider the land footprint in the eTIMES-EU model to explore scenarios with different levels of land consumption. We propose to extend the techno-economic assessment to dimensions related to social acceptance, like land use and production distribution.
- genre: poster
- title: Energy Sufficiency scenario modelling for Germany using PyPSA EUR
- presenter: @klingAle
- description:
The role of demand-side solutions in addressing the energy transition has long been underestimated. To close this gap, the EnSu research group in Germany has developed scenario narratives of alternative futures considering different possible pathways in terms of e.g. energy service demand or also societal approach to technology.
This poster presents the modelling results for three scenarios that were conducted with the open-source energy modelling framework PyPSA EUR. Addressing the role that demand reduction and different technological configurations can play in shaping a future energy system.
- genre: poster
- title: Large scale energy subsidy schemes optimization with risk-averse energy producers
- presenter: @Lucie
- description: The nationally set quantity or price-based energy support support schemes are playing a significant role in the competitiveness of renewable energy technologies. When using a central planer optimization approach, the subsidy schemes pull the system away from the optimum. In order to explore their impact on the risk averse investors, and ultimately on the optimal investment and dispatch solutions, we are developing a decentralised approach, based on the PyPSA-Eur code structure. This alternative modelling approach is relying on competitive game theory for the representation of the different market actors, and on stochastic modelling to depict the risk which the energy producers are facing.
- optional link to the code repository: /
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genre: poster
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title: Sizing a charging infrastructure for electric vehicles for long trips
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presenter: @Heloise_Parmentier
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description:
Electric vehicles, whether heavy-duty or light-duty, provide an effective solution for decarbonizing transportation, provided that the battery size is kept limited. This necessitates the implementation of additional charging solutions for long-distance journeys. This research focuses on determining the optimal location and size of various charging infrastructure components, such as static fast charging stations, Electric Road Systems (ERS), and on-board batteries. The primary objective is to optimize financial, energy, and environmental costs while reducing user travel times.
In terms of data, it is imperative to have information on the departure and destination points of vehicles for their long-distance travel. These data enable the estimation of the energy needs for each vehicle over time. Thus, it becomes possible to smooth out the energy demand both geographically and temporally and optimize the location and sizing of charging points. As this data is not always publicly available, methods need to be developed to reconstruct it.
When we consider the French network on a macro scale, the dimensioning of the network seems to be too important to be solved using exact methods such as linear programming. Recent literature proposes heuristics that start by optimising the routes of each vehicle. Next, a central server distributes information between the different vehicles, facilitating coordination and collaboration. This reduces infrastructure installation costs.
The goal of the poster is to present the thesis topic and its associated challenges, particularly those related to access to transport data and the concept of collaboration between vehicles to optimize various costs.
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