1 PhD Scholarship in Market Mechanisms for Integrated Energy Systems in Denmark | Technical University of Denmark (DTU)

The Center for Electric Power and Energy at the Department of Electrical Engineering is looking for a PhD student in the field of market mechanisms for integrated energy systems.

The PhD student will contribute to the research of the strategic research center IT-Intelligent Energy Systems in Cities (CITIES). CITIES is funded with a budget of €10 million from the Innovation Fund Denmark and a wide range of industrial and academic partners.

Research activities are initiated in CITIES in order to support the Danish target of a 100% renewable energy system by 2050 with solutions for future smart cities. The goal of CITIES is to provide research results which will lead to IT-solutions for future smart cities that spread across the dimensions of time, space and detail.

Responsibilities and tasks

Future energy systems in a smart city context will consider electricity heat and gas in a more integrated manner. In parallel, the operation of energy systems is to be considered in a market environment, in order to optimize social welfare while generating appropriate signals for further investment. In that context, this PhD project will focus on new market structures and mechanisms facilitating the optimal operation of integrated energy systems, while accounting for the operational constraints from its various components, and to limitations related to the city-limited setup.

Emphasis will also be placed on market coupling and new market mechanisms with high uncertainty on both supply and demand sides.

Qualifications:

The applicants should fulfill the following requirements (mandatory):

• MSc in Electrical Engineering or equivalent qualification such as a degree in Sustainable Energy, Mathematics, Computer Science or Physics.
• Knowledge of power system operation and integration of renewable electricity production
• Knowledge of electricity and energy markets, as well as market clearing mechanisms under uncertainty
• Knowledge of optimization tools (e.g. GAMS, Gurobi, etc.) as well as data handling and programming tools (e.g., Matlab, R, Python) Appreciated:
• Advanced skills in mathematical programming and advanced optimization techniques (e.g. linear optimization, mixed integer optimization, duality theory, large-scale optimization, decomposition techniques, etc.)
• Knowledge of decision making under uncertainty, stochastic programming and forecasting
• Knowledge of power system regulation and economics
• Ability to present results in technical reports, and prepare scientific papers for publication in international journals