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CapacityExpansion
by Stanford University, RWTH Aachen
Authors:
Lucas Elias Kuepper, Holger Teichgraeber, Patricia Levi, Ali Ramadhan
Contact:
Lucas Elias Kuepper
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CapacityExpansion is a julia implementation of an input-data-scaling capacity expansion modeling framework.
Based on Julia/JuMP. Using Julia for data processing.
Website / Documentation
Download
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 Open Source
MIT license (MIT)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Capacity Expansion Problem
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| Sectors
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electricity, heat, gas
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| Technologies
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| Decisions
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dispatch, investment
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| Regions
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input data dependent
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| Geographic Resolution
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input data dependent
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| Time resolution
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| Network coverage
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| Model type
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Optimization
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Optimization, Linear optimization model input-data depending energy system
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| Variables
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input data dependent"input data dependent" is not a number.
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| Computation time
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minutes
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| Objective
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Total system cost
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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
https://joss.theoj.org/papers/10.21105/joss.02034#
https://dx.doi.org/https://doi.org/10.21105/joss.02034
Example research questions
CapacityExpansioncan be applied to plan and validate a variety of energy systems. Thefocus on time-series aggregation, storage modelling, and integration of multiple energy carriersmake it especially valuable for the planning and validation of future energy systems with highershares of non-dispatchable generation and sector coupling technologie
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