Local Level - Step 3: Calculation of costs of decentral heat supply

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Introduction

This is the third step of the analysis at local and municipal level.

Figure: The steps to calculate the decentral heat supply costs are highlighted in the Toolchain above.

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Calculation of costs of decentral heat supply

In the third step, the costs and emissions of heat supply via decentral technologies are calculated. This calculation should be performed for different representative buildings in the country/region of interest. While for district heating representative cities/areas have been developed in step 1 of the approach, typical buildings in each EU Member State data can be found in the Hotmaps default database. Also, for many EU countries detailed building typologies (building archetypes) with data on heat demand before and after renovation can be found in statistics and literature.

The CM - Decentral heating supply can be used to calculate the costs and emissions of heat supply via different decentral technologies. The module uses data on heat demand as well as data on costs of technologies and prices for energy carriers to calculate the levelized costs of heat supply [EUR/MWh] for the different technologies in the different typical buildings and renovation states. The following figure shows this procedure graphically and shows the various data sources feeding into the CM - Decentral heating supply.

Figure: Calculation of decentral heat supply

The calculations can be used to identify costs and benefits of various supply technologies in different representative buildings and their sensitivity to important influencing parameters like energy carrier and CO2 prices or interest rate and depreciation time.

The outcomes of this step are the costs of heat supply via decentral technologies in [EUR/MWh] in each of the representative buildings and the related CO2 emissions [kt/yr]. These results will then be used in the overall Scenario Assessment in Step 6.

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How to cite

Marcus Hummel, Giulia Conforto, in Hotmaps-Wiki, Guidelines for using the Hotmaps toolbox for analyses at local level (August 2020)

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Authors and reviewers

This page was written by Marcus Hummel and Giulia Conforto (e-think).

☑ This page was reviewed by Mostafa Fallahnejad (EEG - TU Wien).

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License

Copyright © 2016-2020: Marcus Hummel, Giulia Conforto

Creative Commons Attribution 4.0 International License

This work is licensed under a Creative Commons CC BY 4.0 International License.

SPDX-License-Identifier: CC-BY-4.0

License-Text: https://spdx.org/licenses/CC-BY-4.0.html

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Acknowledgement

We would like to convey our deepest appreciation to the Horizon 2020 Hotmaps Project (Grant Agreement number 723677), which provided the funding to carry out the present investigation.

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