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Impact of building modelling on the flexibility potential of a prosumer unit
In recent years, the penetration of renewable energy resources in distribution grids has been steadily increasing, raising new challenges for power grids. Due to their large inertia, individual buildings may regulate their heating system to help stabilizing the electric network.
In our previous work, we designed an energy management system that self-exports a flexibility envelope to a system operator [1]. The envelope contains the maximal and minimum energy that the household can consume over an horizon of a day, considering some uncertainties on the weather and model errors.
However, the flexibility potential of prosumers highly depends on the underlying building model. On the one hand, a more complex model should yield more reliable results, reducing the uncertainties and therefore increasing the usable flexibility potential. On the other hand, it requires extensive data and engineering design.
This project aims at studying the impact of the epistimistic modelling uncertainty on the controller decisions and the flexibility potential of households. Some work already analyzed the impact of building models on an MPC controller. In this project, we would like to extend the analysis to the flexibility potential of prosumer units based on the flexibility envelope concepts used in previous works.
[1] Gasser, J., et al., Predictive energy management of residential buildings while self-reporting flexibility envelope. (2021), Applied Energy, 288, p.116653
Keywords: Building modelling, System identification, Demand-side flexibility, Optimization under uncertainty.
The aim of this project is to compare the performances of different building models and to evaluate their impact on its accessible flexibility potential.
The aim of this project is to compare the performances of different building models and to evaluate their impact on its accessible flexibility potential.
The tasks that will be carried out in this project are:
1. Explore the literature on energy flexibility in residential buildings.
2. Conduct a brief literature review on building modelling and define a set of models to be implemented in this project.
3. For each model, analyse the modelling error and implement two use-cases:
- Compute the flexibility potential under uncertainty,
- Implement an MPC controller, aiming at minimizing the energy costs.
4. Compare the impact of the model for the different use-cases. Analyze the results and write a report.
The tasks that will be carried out in this project are:
1. Explore the literature on energy flexibility in residential buildings.
2. Conduct a brief literature review on building modelling and define a set of models to be implemented in this project.
3. For each model, analyse the modelling error and implement two use-cases: - Compute the flexibility potential under uncertainty, - Implement an MPC controller, aiming at minimizing the energy costs.
4. Compare the impact of the model for the different use-cases. Analyze the results and write a report.