| Popis: |
While share of intermittent renewable energy sources in a power sector is constantly increasing, demand response technologies are becoming crucial part of interconnected energy systems. District heating sector has a great potential of offering such services if power- to-heat technologies are implemented. Highly efficient compression heat pumps and electrical heaters, in combination with thermal storage, can effectively transform electrical energy into thermal. This is well-known method of utilizing low-price electricity from the market. Power-to-heat optimal supply capacities are rarely studied with respect to different market conditions, especially from the point of view of multi-objective optimization. This paper shows analysis of an impact of wind production increase in a power sector on optimal power-to-heat capacities in a local district heating system. In order to obtain these results, optimization model has been developed by using linear programming. The model has been created in open-source and free programming language called Julia, while Clp has been used as a LP solver. The model was tested on a case study of Nord Pool electricity market and numerical example of a district heating system. The main outcome of this research is how power-to-heat supply technologies operate in different market conditions and how different parameters affect optimal power-to-heat capacities. |
