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This page aims to show how to apply the Hotmaps toolbox to carry out cooling planning. The pilot area of Aalborg Municipality is taken as a study case, as this city is working towards district cooling planning. The potential application of the Hotmaps database and toolbox is demonstrated by showing the use of different datasets and calculation modules to investigate the cooling demand and the potential for district cooling in the city.
The Hotmaps database and toolbox can be used for cooling planning in the following way:
These different steps are explained in detail in the following sections. Furthermore, these are illustrated on the example of Aalborg municipality.
The Hotmaps database provides a cooling demand density map for entire EU28 countries on the level of 100 x 100 m. This raster layer is contained in the online Hotmaps toolbox as well as in the data repository on gitlab. In the following it is explained how to prepare the map for being used in the CM - District heating potential areas: user defined thresholds.
You can find a description of the procedure to do so under the following link.
To download the cooling density map (or a selection of the 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:
Now you can use the customized bottom-up cooling demand density map for district cooling planning by using the CM - District heating potential areas: user-defined thresholds as described in the third step.
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:
To develop a customized bottom-up cooling density map based on local data, perform the following steps:
Now you can use the customized bottom-up cooling demand density map for district cooling planning by using the CM - District heating potential areas: user-defined thresholds as described in the next step.
The calculation module CM - District heating potential areas: user-defined thresholds 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 cooling areas based on the two threshold values used in the module, perform the following steps:
Figure 1: Identified District Cooling potential area in 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.
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).
Anders M. Odgaard, in Hotmaps-Wiki, Concept for using Hotmaps for district cooling (September 2020)
This page was written by Anders M. Odgaard Planenergie.
☑ This page was reviewed by Marcus Hummel e-think.
Copyright © 2016-2020: 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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Last edited by GiuliaConforto, 2020-09-30 15:45:11