Delft University of Technology offers two PhD positions on the development of algorithmic techniques to optimise flexible energy use in industry. The research will be performed in the Algorithmics research group in the department of Software Technology. Fundamental research in the Algorithmics group is at the forefront of international scientific developments in the fields of planning and scheduling, and research results find use in complex societal challenges regarding traffic, logistics, and the future energy system.
Renewable generation of power is often intermittent, uncertain, and uncontrollable. As balance between demand and generation is required at all times, flexibility in electricity demand is needed to prevent having significant costly flexible controllable generation (from fossil energy sources) on stand-by. Unleashing this potential of energy flexibility in industry requires optimising the daily operations not just regarding throughput, but also to include making cost-effective energy trading decisions. This project aims to develop algorithmic techniques to support both these decision problems under uncertainty.
PhD position 1 targets developing algorithms for planning under uncertainty for optimising day-to-day operations, while PhD position 2 focuses on developing methods for dealing with the uncertainty regarding strategic decisions on investments and on trading in bilateral contracts and future markets.
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