Head of Energy and Heat Supply
INP Deutschland GmbH
Tel. +49 6232 firstname.lastname@example.org
We stand for the values of owner-managed SMEs: reliability, responsibility, quality and adherence to deadlines.Georg Jester – General Manager
Professionalism and reliability are what our customers appreciate. And this has been so for over 30 years.Andreas Haaß – Managing Director
Location: Karlsruhe, Germany
System/Technology: District heat supply
Services: Solution development / Feasibility studies
Industry Branch/Type of Plant: Green Energy, Power Generation
Client: Stadtwerke Karlsruhe GmbH (local utility operator)
Activity period: 2021-2022
The goal of the climate protection concept of the city of Karlsruhe is that municipal companies will become climate-neutral by 2040. One of the aims of Stadtwerke Karlsruhe GmbH, the local utility operator, is to make the heat supply of the district heating network CO2-neutral. One measure to achieve this target is to increase the renewable share of heat generation in the district heating network. The purpose of the present study is to examine the feasibility of using large heat pumps to generate heat for the district heating network. The integration of a large heat pump system can help reduce CO2 emissions while increasing supply security through redundancy. A heat pump produces electricity-related CO2 emissions depending on the performance number of the heat pump or compressor.
Large heat pumps are only operated as far as possible when the power grid contains a high proportion of renewable energy and conventional power plants are not running due to market conditions. The operation of the large heat pump thus takes place at times when the CO2 emissions in the grid-related electricity are low. The decisive factor here is the advantageousness of the large heat pump over the existing natural gas operation heating plants.
The economic viability was investigated by means of a sensitivity analysis for two heat generation scenarios and for different electricity and natural gas prices in order to find a decision even if the data situation changed in the volatile energy market.