PyLESA
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Python for Local Energy Systems Analysis
by University of Strathclyde
Authors:
Andrew Lyden
Contact:
Andrew Lyden
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PyLESA is an open source tool capable of modelling local energy systems containing both electrical and thermal technologies. It was developed with the aim of aiding the design of local energy systems. The focus of the tool is on modelling systems with heat pumps and thermal storage alongside time-of-use electricity tariffs and predictive control strategies. It is anticipated that the tool provides a framework for future development including electrical battery studies and participation in grid balancing mechanisms.
This tool was developed as part of a PhD, "Modelling and Design of Local Energy Systems Incorporating Heat Pumps, Thermal Storage, Future Tariffs, and Model Predictive Control " by Andrew Lyden.
Based on Python. Using Python for data processing.
Download
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 Open Source
MIT license (MIT)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Local energy systems
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| Sectors
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electricity, heat
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| Technologies
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Renewables, Conventional Generation
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| Decisions
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dispatch
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| Regions
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| Geographic Resolution
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Local/Community/District
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| Time resolution
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Hour
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| Network coverage
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AC load flow, DC load flow
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| Model type
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Simulation
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| Variables
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| Computation time
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Minutes to Hours"Minutes to Hours" is not a number. minutes
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| Objective
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Minimization of operational costs
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| Uncertainty modeling
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perfect foresight
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
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