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This module aims to highlight the heatsource that can be classify as: suitable, conditionally suitable and not suitable for an energy exploitation at urban level.
This module generates a shapefile classifying the heat source potential based on the distance of the heat source from the demand, and based on the capacity of the heatsource. Each heat source is classified in three main classes:
The module automatize the methodology as defined by:
Neugebauer, Georg, Florian Kretschmer, René Kollmann, Michael Narodoslawsky, Thomas Ertl, and Gernot Stoeglehner. ‘Mapping Thermal Energy Resource Potentials from Wastewater Treatment Plants’. Sustainability 7, no. 10 (September 2015): 12988–13010. https://doi.org/10.3390/su71012988.
Input layers and parameters are:
within_dist) - (default value: 150m)
near_dist), all the areas above this threshold will be classified as far;
Output layers and parameters are:
To define the urban areas, the module start from the Corine Land Cover (CLC) dataset and select the following categories:
Then to assess and classify the potential, the module:
Here you get the bleeding-edge development for this calculation module.
Pietro Zambelli, in Hotmaps-Wiki, CM-Heatsource-potential (September 2020)
This page is written by Pietro Zambelli*.
☐ This page was reviewed by Simon Pezzutto*.
Institute of Renewable Energy
viale Druso 1
Copyright © 2016-2020: Pietro Zambelli
Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons CC BY 4.0 International License.
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.
Last edited by zarch, 2020-09-08 06:58:03