CO2Calc4Quartier

Funded by: Federal Ministry for Economic Affairs and Energy (BMWi)

Cooperation: r2b energy consulting GmbH und BTB -Blockheizkraftwerks,Träger- und Betreibergesellschaft mbH Berlin.

Project description:

In district heating systems and neighborhood heating concepts, sector coupling technologies are increasingly being used, in particular heat pumps in addition to CHP plants. The same applies to heat and electricity storage systems. Likewise, in the neighborhood context, the effects of the greater spread of electromobility must be taken into account.
Different methodological approaches are currently in use for evaluating the CO2 emissions and primary energy consumption of individual technologies in heat supply concepts, although the evaluation of neighborhood concepts is only possible in a meaningful way by means of a consistent method. At present, however, such a method is not available to energy suppliers.

Therefore, in the planned R&D project, the following overall project goals are to be achieved and contents processed:

  • Development of planning and optimization methods for the evaluation of district heating concepts with regard to CO2 emissions, primary energy consumption and economic efficiency.
  • Comparison of the achieved results with those according to currently used methods.
  • Carrying out scenario studies and sensitivity analyses
  • Application of the developed methods to exemplary district heating concepts
  • Involvement of public utilities, district heating suppliers and associations
  • Development of planning tools and recommendations for action

The work is being carried out within the framework of a joint project by several partners from industry and science. The BTU's sub-project "Method Development and Scenario Analyses" is pursuing the following central sub-project goals in particular:

  • Creation of the methodological basis for an hourly, cross-sectoral evaluation of district heating concepts with regard to CO2 emissions and primary energy consumption.
  • Carrying out scenario studies and sensitivity analyses with regard to the relevant influencing factors.

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