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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

Downloading HEATDesalination

🐍 Setting up your Python environment

🌦️ PVGIS

:memo: Completing input files

:fire: Running HEATDesalination

🎓 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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