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This page aims to show how to apply the Hotmaps toolbox to carry out cooling planning. The pilot area of the Aalborg Municipality is taken as a study case, as this city is working towards district cooling planning. The potential application of the Hotmaps Toolboxis demonstrated by using the calculation modules to investigate the cooling demand in Aalborg and the potential for district cooling.
The cooling demand in Aalborg Municipality is centred in and around the dense city centre. Figure 1: Gross Floor Area Density Map of the Municipality of Aalborg
The application of the Hotmaps toolbox for carrying out cooling planning entails the following steps:
In order to create and use a cooling density map, you need first to create an account, then download the cooling density map, save it, upload the cooling demand data, and then create a bottom-up cooling demand density map. All the steps are illustrated below.
To be able to upload the cooling demand data, you need first to create a user account (register), performing the following steps:
To download the cooling density map as a raster file and save it to your computer, perform the following steps:
To upload the cooling demand data to the Hotmaps toolbox, perform the following steps:
To develop a customized bottom-up cooling density map based on local data, perform the following steps:
This module generates a shapefile of potential district cooling areas based on the following input data: a cooling density map with 1 hectare (ha) resolution, a cooling demand threshold for the cooling demand in each cell of the cooling density map and a cooling demand threshold for groups of connected cells with cooling demand above the previous threshold (=coherent area).
In order to calculate and compare different scenarios of potential district heating areas based on the two threshold values used in the module, perform the following steps:
Figure 2: Zoom on the city center of the Municipality of Aalborg
IMPORTANT NOTE
To see these output layers, you might need to unselect the other layers. In case you still don’t see them, try to zoom-out, as there is sometimes a visualisation bug. You can also download them and reupload them using your personal account (you need to log in before), it always solves the problem. Or you can load them into your GIS-program of choice.
This module scales the default layer with a given factor. The aim is to provide the possibility to generate a heat or cold demand density layer with any overall value. E.g. if you like to increase the cooling demand by 20 %.
To scale and download a cooling density map layer to be used for the CM – District heating potential areas: user-defined thresholds, perform the following steps:
In all countries covered by Hotmaps, where you need a quick estimation of district cooling demand. Use the existing calculation modules for district cooling planning. Create your own bottom-up cooling density map, based on local building stock data and the Hotmaps database for cooling demand depending on usage and construction period: see the section on Inputs.
Pezzutto et. al., 2019: D2.3 WP2 Report –Open Data Set for the EU28
Pezzutto, Croce, Zambotti, 2019. Building stock analysis’ – developed under D.2.3 WP2
Mostafa Fallahnejad, 2020. Stand-alone CM: Customized heat and floor area density maps
Mostafa Fallahnejad, in Hotmaps-Wiki, CM-Customized heat and gross floor area density maps (April 2019).
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Anders M. Odgaard, in Hotmaps-Wiki, Concept for using Hotmaps for district cooling (September 2020)
This page is written by Anders M. Odgaard *.
This page was reviewed by Mostafa Fallahnejad ** and Marcus Hummel ***.
* PlanEnergi
Jyllandsgade 1
DK-9520 Skørping
** Energy Economics Group - TU Wien
Institute of Energy Systems and Electrical Drives
Gusshausstrasse 27-29/370
AT-1040 Wien
*** e-think
Zentrum f. Energiewirtschaft und Umwelt
Argentinierstrasse 18/10
AT-1040 Wien
Copyright © 2016-2019: Anders M. Odgaard
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
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
Last edited by GiuliaConforto, 2020-09-30 15:45:11