Thesis Work - Future Value of Residential Flexibility: Aggregation and Service Stacking Across Energy Markets
Core
Investigate how aggregated residential energy assets can dynamically coordinate across multiple energy markets to maximize long-term value through service-stacking strategies.
Role type
Master's thesis researcher (energy systems optimization)
Builds
Framework for multi-asset aggregation and service stacking
Domain
Energy markets, residential flexibility, optimization
Deliverable
research
Required skills
optimization, simulation modelling, data analysis, time-series data handling
Preferred skills
Python, familiarity with spot/intraday/ancillary-service markets, asset constraints modeling
Technologies
Python
Responsibilities
Historical market analysis, development of representative asset profiles, future market scenario modeling, evaluation of service-stacking strategies
Seniority
Master's student (30 ECTS)
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