heat-peaks-lit

Interactive visualisaiton of results of the cross-sectoral modeling study.

Installation

After forking and cloning heat-peaks-lit repo, the following commands are needed to get the app work.

Create virtual environment

mamba env create -f ./heat-peaks-lit/env.yaml
conda activate heat-peaks-lit

Prepare data

The app expects to have the inputs available using the paths specified in app/pages/utils/config.yaml as data_dir argument. The inputs are the solved cross-sectoral networks organised by sub-folders named according to the scenario names set in the config as scenario_names. The expected folder structure looks like follows:

data--| |--results--| |--flex--| |--networks--| |--elec_s_48_lcopt__Co2L0.0-24H-T-H_2050.nc

Build the app

cd heat-peaks-lit
pip install -e .
streamlit run app/Introduction.py

Architecture

The project is organised as source files of the tabs placed in app folder. Each of the source files is supplemented by a helpers file with prerun prefix kept in app/pages/utils which task is to extract and pre-process networks data.