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Quantify geospatial heating flexibility potential based on heating consumption data

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GeoHeatFlex: Quantify geospatial heating flexibility

GeoHeatFlex is an open-source tool for quantifying heating flexibility potential in a building stock at high spatial resolution based on heating consumption data. This model uses high resolution heating consumption data, historical temperature data, and building size data. An example case study for gas-heated homes in Britain is included, but the model can be generalized to any region where similar data is available.

Licenses and citation

GeoHeatFlex is distributed under the MIT license. Please note that the data used in this model have different licenses.

When you use GeoHeatFlex, please cite the forthcoming paper:

  • Claire Halloran, Jesus Lizana, Malcolm McCulloch, Quantifying space heating flexibility potential at high spatial resolution with heating consumption data.

Setup

Clone the GeoHeatFlex repository using the following command in your terminal:

/some/other/path % cd /some/path

/some/path % git clone https://github.com/clairehalloran/GeoHeatFlex.git

Install the python dependencies using the package manager of your choice. When using conda, enter the following commands in your terminal to install and activate the environment:

.../GeoHeatFlex % conda env create -f environment.yaml
.../GeoHeatFlex % conda activate GeoHeatFlex

Input data

All input data should be put in the Data folder. To recreate the case study for gas-heated houses, include the following data:

Running the model

The model is run with the following workflow:

Heating degree days

The heating degree days for the time period that heating consumption is reported are calculated in the calculate_regional_HDDs.py script.

Heat loss rate

Heat losses are calculated in the calculate_heating_losses.py script.

Heat capacity & thermal time constants

Heat capacity and thermal time constants are calculated in the calculate_time_constants.py script. This script also saves the total thermal energy storage capacity in each region.

Heating flexibility duration

The heating flexibility duration as measured by the number of comfortable heat-free hours is calculated in the calculate_flexibility_duration.py script.

Validating time constant

Time constants based on an exponential fit of indoor temperature drop for homes in the Electrification of Heat Trial are calculated in the EoH_time_constants.py script.

The time constants calculated in GeoHeatFlex are compared with those obtained with the energy performance certificate-based method introduced by Canet and Qadrdan and the indoor temperature-based method in the validate_time_constants.py script.

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