Optimization of control strategies for demand response
The project focuses on investigating the optimal activation of demand response (DR) methods during a DR event for typical city owned buildings.
The optimal activation will be determined with a building energy simulation software IDA ICE and multi-objective building optimization software MOBO. Optimal demand response action activation will be determined with MOBO using variable hourly price rates for supplied energy. The optimization will consider all types of energy supplied to the building, i.e. electricity, district heating and district cooling. The results of the optimization will be compared to base cases with no demand response to determine potential economic gains for customers and for the energy supplier/producer, resulting from changes in energy consumption and production curves. The aim of the project is to provide some insight on which demand response actions would be the most beneficial targets to focus on when planning participation in local demand response programs. This is accomplished by establishing a premise for optimal order of activation for several possible demand response actions during a demand response. Variable hourly energy price rates are introduced as means to incentivize the participation to demand response for the customer.