Table of Contents


These guidelines describe how the Hotmaps toolbox can be used to analyse costs and potentials for efficient and renewable heating and cooling at the national level. The guide is especially oriented towards the development of results according to the comprehensive assessment of national heating and cooling potentials referred to in Article 14(1) of the Energy Efficiency Directive (EED) in its current version.

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Part I: Overview of heating and cooling

The Hotmaps database and toolbox provides two different inputs to this part: first, the Hotmaps database provides default data for several of the data needed to include in this part I of the comprehensive assessment. Second, the Hotmaps toolbox is basically a mapping tool that allows a geographical representation of default data in the toolbox but also of other data uploaded to the toolbox. In the following we describe the different default data form Hotmaps that might be of use and we link to the descriptions of how to use the upload function of the Hotmaps toolbox.

The following data relevant for Part I of Annex VIII is available in the Hotmaps database:

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Part III: Analysis of the economic potential for efficiency in heating and cooling

The Hotmaps toolbox contains a number of calculation modules (CMs) that can be used to analyse the economic potential for efficiency in heating and cooling. In the following, a possible approach for generating results for the comprehensive assessment with the Hotmaps toolbox is described also linking to the respective default data and calculation modules.

Overview of the Hotmaps approach

To assess the economic potential for efficiency in heating and cooling it is important to distinguish between areas potentially supplied by district heating and areas where decentral supply will most probably be more economically efficient. Thus, the Hotmaps approach strongly builds on the following four steps:

  1. Identify different representative, typical cases for district heating in the country/region under investigation

  2. Carry out analyses of district heating grid construction/expansion and district heat supply for the identified representative cases

  3. Calculate indicators of decentral heat supply

  4. Compare different scenarios of district heating and decentral heat supply and sensitivity calculations

The following figure shows this approach graphically. The different steps will be explained in more detail in the following chapters of these guidelines.

Figure: Hotmaps approach for analysing the economic potential for efficiency in heating and cooling in course of Article 14 of the Energy Efficiency Directive (EED)

In all of these steps various scenarios and sensitivities should be taken into account:

  • Different levels of heat savings (implemented in step 1, 2 and 3)
  • Different levels of district heating shares in total heat supply (implemented in step 2)
  • Different future energy prices (implemented in step 2 and 3)
  • Different depreciation times and discount rates (socio-economic vs. private-economic calculations) (implemented in step 2 and 3)

The following resulting indicators can be retrieved from the Hotmaps Calculation Modules (CMs):

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Different Steps

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How to cite

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

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Authors and reviewers

This page is written by Marcus Hummel and Giulia Conforto*.

  • This page was reviewed by Lukas Kranzl**.

* e-think, Zentrum f. Energiewirtschaft und Umwelt, Argentinierstrasse 18/10, 1040 Wien

** Energy Economics Group - TU Wien, Institute of Energy Systems and Electrical Drives, Gusshausstrasse 27-29/370, 1040 Wien

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Copyright © 2016-2019: Marcus Hummel

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


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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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* machine translated