NEMO
From wiki.openmod-initiative.org
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National Electricity Market Optimiser
by University of New South Wales
Authors:
Ben Elliston
Contact:
Ben Elliston
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NEMO is a chronological dispatch model for testing and optimising different portfolios of conventional and renewable electricity generation technologies.
Based on Python. Using for data processing.
Website / Documentation
Download
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 Open Source
GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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| Sectors
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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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Australia
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| Geographic Resolution
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NEM regions
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| Time resolution
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Hour
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| Network coverage
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transmission
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| Model type
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Optimization, Simulation
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Optimisations are carried out using a single-objective evaluation function (with penalties). The search space (of generator capacities) is searched using the CMA-ES algorithm.
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| Variables
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up to 100
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| Computation time
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5 minutes to several hours"minutestoseveralhours" is not declared as a valid unit of measurement for this property. minutes (runtime depends on # of CPUs devoted to optimisation)
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| Objective
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minimise average cost of electricity
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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
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