Development of optimization models and cost-benefit analysis in Renewable Energy Communities and smart grids regarding operation and management
Work description
To provide the necessary tools and technologies for the optimization of energy communities and all their assets, while exploring the feasibility of associated alternative business models. To this end, it will focus on the following: Optimization - variable flexibility to improve energy management within and outside the community, with innovative technologies already in use, such as storage, bidirectional EV chargers, peer-to-peer energy trading, virtual aggregation, etc. Decarbonization - sustainability variable to reduce emissions associated with energy consumption/generation by using small-scale renewable sources and technologies to replace carbon-emitting sources (electric vehicle charging, heat pumps, etc.) Energy Costs - economic variable to reduce the electricity costs of customers/members by reducing grid consumption and enhancing individual and collective self-consumption by other members of the energy community.
Academic Qualifications
PhD in Electrical Engineering, Sustainable Energy, or Mathematics
Minimum profile required
Knowledge of Python programming and/or optimization software; Ability to work autonomously or as part of a team; Fluency in English (written and spoken), data modelling skills.
Preference factors
Solid programming skills (python, R). Skills in Machine Learning. Publications in the scientific advertised
Application Period
Since 27 Jun 2024 to 27 Jul 2024
Centre
Power and Energy Systems