BeschreibungThere is significant interest in exploiting hitherto unused synergies by coupling different energy-carrier networks, such as district heating and electrical distribution networks. The transition of these networks from passively coupled to actively linked and operated networks is seen as an important step on the way to smart energy networks. This study addresses the ongoing effort in modelling and simulati.on of these so-called hybrid thermal-electric networks using tools and semantics that are natural to each of the involved domains, including their controls. A case study of a residential area in Austria is presented. Multiple buildings, a district heating and an electrical distribution network have been modelled to study the impact of network coupling through different conversion technologies. To this end, the local district heating grid of the case study is modelled in Modelica/Dymola. The district heating network model, thereby, includes the implementation of a maln heat supply, a gas-fired boiler, and the grid topology composed of component models for pipes, substations, pumps, etc. Heat demand of the different buildings is modeled as a combination of domestic hot water and space heating demand. The corresponding load profiles were retrieved from synthesized hot water demand profiles and physical building models, respectively. The corresponding electrical distribution grid is modelled in DlgSILENT PowerFactory, a power system simulation and analysis tool. Loads and generation are therein represented by load profiles based on sanitized measured data for the different consumers and for rooftop photovoltaic plants. The models for the electric network and the district heating grid together with controller implementations in Python are coupled via co-simulation based on the Functional Mock-up Interface to enable a detailed technical assessment of such a multi-energy network. Simu lations are conducted for one year for different scenarios with a variation in coupling technologies: heat pumps, electric heaters, combined heat, power units, and their combination with thermal storages. In addition, different control strategies, rulebased and model predictive control, for the operation of the coupling technologies are lmplemented and compared.
|13 Nov. 2018 → 14 Nov. 2018
|4th International Conference on Smart Energy Systems and 4th Generation District Heating - Aalborg 13-14 Nov 2018
- Integrated Energy Systems