MASTERS RESEARCHERS
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Coming soon.
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My project aims to extend the idea of the aggregation of a large number of small DR capacities. As the availability of the loads will be under a significant uncertainty, this problem can be viewed as a stochastic problem.
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The aim of my research is to understand if residential demand response can be used to tackle the problem of phase balancing. In order to reduce the loss related to the conversion from three-phase to single phase current, demand response can be used to balance the load on each phase and so to reduce this loss.
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Residential demand response program have been shown to have a huge potential to balance the integration of renewable energy and to shift load from peak to low demand period. My research project consists of defining the possible business model of a water-heaters aggregator. I will look for what technical and economical viable offer can be proposed, using amoung others the mean field game theory.
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My research focuses on the techno-economic impacts of high penetration of distributed energy storage in the electricity market. More specifically, the objective of my current project is to understand the key market drivers that will make the energy storage-as-a-service (ESaaS) business model profitable for investors, customers, utilities and RTO/ISO.
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The aim of my research project is to develop an optimization-based approach to improve the energy system of the future smart cities. I am especially interested in modelling different types of buildings, considering technical features and integrating different technologies, such as distributed generation, batteries, thermal storage, solar electrical vehicles and demand response.
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