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This module calculates the potential of shallow geothermal energy to be used in ground source heat pumps for selected regions in the form of a raster file. The inputs are raster files with initial ground temperatures, depth-averaged ground thermal conductivity and depth-averaged ground thermal capacity.
It aims to compute the shallow geothermal potential based on r.green.gshp.theoretical according to the G.pot methodology. In this module, the output is the theoretical maximum energy that can be converted in the ideal case without considering the financial and spatial constraints.
The input parameters and layers, as well as output layers and parameters, are as follows.
Input layers and parameters are:
The advanced input is:
Output layers and parameters are:
A deeper explanation of the default input raster is available in the Hotmaps repository
The method to define the energy potential is based on the G.pot. The potential of shallow geothermal energy is computed by means of and empirical relationship proposed by Casasso et al. (2016).
The methodology produce a map with the power and the energy that can be extracted considering the main characteristics of the terrain (e.g. ground temperature/capacity/conductivity) and of the Borehole (e.g. lenght, diameter, etc).
Users can give different ground characteristics (e.g. ground temperature, ground conductivity and capacity), if available. Users can also define the different characteristics of the geothermal system like the Borehole geometry.
Pietro Zambelli and Giulia Garegnani, in Hotmaps Wiki, CM Shallow geothermal potential (September 2020)
This page is written by Pietro Zambelli and Giulia Garegnani*.
* Urban and Regional Energy System Group - EURAC Bozen
Institute of Renewable Energy Drususallee/Viale Druso 1 I-39100 Bozen/Bolzano Italy
Copyright © 2016-2019: Pietro Zambelli, Giulia Garegnani
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 web, 2020-09-30 11:29:36