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CM: Space Cooling Demand

Introduction

👉 Click here to access the online tutorial for this module

This Calculation Module (CM) enables the visualization of space cooling (SC) demand across the EU-27 at a high spatial resolution of 100 x 100 meters. It provides demand estimates for both the base year and future scenarios up to 2050, leveraging data on building stock distribution and climate conditions. By using this module, users can analyze and scale demand, identifying cold spots in urban areas that could be prioritized for cooling planning.

The module allows users to adjust cooling demand estimates by applying a scaling factor to the default cooling density maps. Since cooling demand is often reported in aggregated energy balances, this module helps spatially disaggregate such values by refining demand estimates at a granular level. The tool multiplies each cell in the input raster by the user-defined scaling factor, generating an updated cooling density map that reflects adjusted demand scenarios.

This functionality supports urban planners, policymakers, and researchers in developing localized cooling strategies, optimizing energy planning, and ensuring efficient resource allocation for future cooling infrastructure.

The module operates at NUTS1, NUTS2, NUTS3, LAU2 and Hectare levels.

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Method

Each cell's value of the input raster is multiplied by the multiplication factor.

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Input

The following input parameters should be defined prior to the run:

  • Multiplication factor [-]: a real value between 0 and 1000
    • if the multiplication factor is > 1, the output raster is greater than the input.
    • if the multiplication factor is < 1, the output raster is smaller than the input.

An input layer has to be selected from a dropdown menu. This input layer will be scaled up or down, depending on the multiplication factor. It is a map in raster format (*.tif). The following input layers are available at the monent:

  • Cooling density total
  • Cooling need baseline 2020
  • Cooling need baseline 2030
  • Cooling need 2030 moderate efficiency
  • Cooling need 2030 high efficiency
  • Cooling need baseline 2040
  • Cooling need 2040 moderate efficiency
  • Cooling need 2040 high efficiency
  • Cooling need baseline 2050
  • Cooling need 2050 moderate efficiency
  • Cooling need 2050 high efficiency

It is possible to scale up or down personal heating and cooling density maps.

Output

The output of this CM consists of the following:

  • An output raster (*.tif), corresponding to the input scaled by the multiplication factor.

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Sample Run

This example demonstrates how to run the Space Cooling Demand Calculation Module (CM) using Vienna, Austria as a case study.

Step 1: Choose the appropriate 'Selectable area'

On the Right Toolbar, choose NUTS2 (Vienna as a province) or NUTS3 (Vienna as a city). In this case, it is the same area, as Vienna is both a city and a province.

Step2: Navigate to the study area

Use the "Go To Place" search bar to locate Vienna and select the city.

Step 3: Access the Calculation Module

Click on the "Calculation Module" tab. In the list of calculation modules, select "CM - Space Cooling Demand".

Step 4: Configure and Run the Calculation

In the CM interface, write a session name. Then enter the Multiplication Factor to scale up or down the cooling demand. By default, the scaling factor is set to 1 (no change). Adjust this value as needed. Select the Layer input, e.g. Cooling density total. Then press "RUN CM". See Figure CM - Space cooling Demand, Input.

Figure CM - Space cooling Demand, Input cm_space_cooling

Step 5: View and Download Results

Once the calculation is complete, the scaled demand density map will be displayed on the map. The newly calculated demand values will be available in the Results section (See Figure CM - Space cooling demand, Results). To download the generated layer:

Once you are in the CM, select the value by the amount you want to scale up or down in the Multiplication Factor input. By default, the scaling factor is 1. Press "RUN CM". Once the calculation is completed, the scaled-up demand density map will be visible on the map, and the newly calculated demand will be available in the result section. If you want to download this layer, go to the "Layers" tab, scroll to the bottom under the "Calculation module" section, and you will find the layer generated from the CM run as "Layers of Cold_density".

Figure CM - Space cooling demand, Results cm_space_cooling

Figure CM - Space cooling Demand, Download Layer cm_space_cooling

Repository of the calculation module

You can access the open-source code for this calculation module here.

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How To Cite

Aadit Malla, Mostafa Fallahnejad, in CoolLIFE-Wiki, CM Space Cooling Demand

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Authors And Reviewers

This page was written by Aadit Malla EEG-TU WIEN and Mostafa Fallahnejad e-think.

This page was reviewed by Ardak Akhatova e-think.

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License

Copyright © 2024-2025: Aadit Malla and Mostafa Fallahnejad

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 LIFE Programme CoolLIFE Project (Grant Agreement number 101075405), which co-funded the present investigation.

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