Hybrid Electric And Thermal Desalination
Project description
HEATDesalination
Simulation and optimisation of hybrid electric and thermal powered desalination systems
Table Of Contents
:link: Dependencies
:clap: Acknowledgements
🐍 Setting up your Python environment
🌦️ PVGIS
:memo: Completing input files
:fire: Running HEATDesalination
- Fetching weather data
- Running a simulation
- Running an optimisation
- Parallel simulation and optimisation
🎓 Running HEATDesalination on Imperial College London's high-performance computers
:memo: References
Dependencies
This module imports libraries from:
- The open-source
pvlib
Python package developed by Holmgren, Hansen and Mikofski [1].
This module integrates with the open-source PVGIS framework, developed by Huld et al., [2].
Acknowledgements
This repository uses code developed by the CLOVER-energy team by Winchester et al. (2022). Thanks to all at the @CLOVER-energy/clover-development-team for their work.
Downloading HEATDesalination
Setting up your Python environment
Anaconda method
Pip install
PVGIS
Completing input files
Location-based files
System-based files
Running HEATDesalination
Fetching weather data
Running a simulation
Running an optimisation
Parallel simulation and optimisation
Running HEATDesalination on Imperial College London's high-performance computers
References
[1] Holmgren W.F., Hansen C.W., Mikofski M.A., pvlib python: a python package for modeling solar energy systems. Journal of Open Source Software 2018;3:884. https://doi.org/10.21105/joss.00884
[2] Huld, T., Müller, R. and Gambardella, A., 2012. "A new solar radiation database for estimating PV performance in Europe and Africa". Solar Energy, 86, 1803-1815. http://dx.doi.org/10.1016/j.solener.2012.03.006
[3] Winchester, B., Beath, H., Nelson, J., & Sandwell, P. (2022). CLOVER (Version v5.0.5) [Computer software]. https://doi.org/10.5281/zenodo.6925535
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