Project results

The project goal is to investigate a novel semantic integration layer for heterogeneous home and building automation technologies with a focus on the requirements of energy management systems. For this purpose, a concept based on Semantic Web technologies is leveraged to ease the creation of energy management systems and the identification of potential load shifting capabilities in order to perform local load management and optimization but also to interact within a smart grid integrated demand response. Furthermore, the availability of enriched semantic information is used to create building usage profiles which are an input for the optimization algorithm that calculates the available load shifting potential or perform local energy optimization regarding a specified objective function. The capability of the energy management system information model is validated by developing an optimization algorithm that takes the input parameters from the provided information model and applies strategies for energy management. This includes the energy consumption of appliances and the schedule of tasks depending on the user comfort requirements. The developed optimization takes into account the dynamic nature of demand response in which pricing and flexibility signals can occur and lead to new input parameters for the optimization algorithm.

Big picture

The project results can be summarized as follows: