Xiaoming Kan is a Ph.D. student at the Division of Physical Resource Theory. His research focuses on the modeling of policies and investments for a large-scale introduction of variable renewable power production, which is part of ENSYSTRA (energy systems in transition) training network. The main objective of his research is to evaluate investments and variation management strategies that are cost-effective to use in a renewable power system and assess policies that can foster such a system. His research interests lie in the field of modeling of energy systems and energy markets.
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