giacfalk / cooling_electrification

Code and data to replicate the analysis of the paper titled 'Role of residential air circulation and cooling for universal household electrification'

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This repository contains the code to replicate the analysis of the paper 'The role of residential air circulation and cooling demand for electrification planning: implications of climate change over sub-Saharan Africa' by Giacomo Falchetta

Required replication data is found at: DOI. The Zenodo archive content must be extracted in the home folder of this repository.

The code includes:

  • A wrapper to call all pieces of the code and define parameters (wrapper.R)
  • A module to estimate cooling degree days based on climate scenarios and custom parameters (data_process.R)
  • A module to estimate hourly building heat gain from windows in any location of the world under custom parameters (window_heat_gain.R)
  • A module to estimate electricity requirements for air circulation and cooling (electricity.R)
  • A module to estimate CO2 emissions from electricity consumption for air circulation and cooling (emissions.R)
  • A module to carry out electricity access planning analysis with the OnSSET tool to evaluate different demand scenarios (AC/no AC) (electrification_analysis.R)

Both R and Python are required on the local machine.

Questions and queries to: giacomo.falchetta@gmail.com

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Code and data to replicate the analysis of the paper titled 'Role of residential air circulation and cooling for universal household electrification'


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Language:Python 52.9%Language:R 47.1%