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REopt
by The National Renewable Energy Laboratory
Authors:
Dylan Cutler, Kate Anderson, Dan Olis, Emma Elgqvist, Andy Walker, Xiangkun Li, William Becker, Kathleen Krah, Nick Laws, Sakshi Mishra, Josiah Pohl
Contact:
Josiah Pohl
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The REopt™ model provides concurrent, multiple technology integration and optimization capabilities to help organizations meet their cost savings and energy performance goals. Formulated as a mixed integer linear program, the REopt model recommends an optimally sized mix of renewable energy, conventional generation, and energy storage technologies; estimates the net present value of implementing those technologies; and provides a dispatch strategy for operating the technology mix at maximum economic efficiency.
Based on Julia/JuMP. Using Python for data processing.
Website / Documentation
Download
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 Open Source
BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Energy System Model
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| Sectors
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Energy
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| Technologies
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Renewables, CHP
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| Decisions
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dispatch, investment
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| Regions
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World
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| Geographic Resolution
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Site
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| Time resolution
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Hour
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| Network coverage
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| Model type
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Optimization
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Mixed Integer Linear Program
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| Variables
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| Computation time
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minutes
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| Objective
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Minimize Lifecycle 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://www.nrel.gov/docs/fy14osti/61783.pdf
Reports produced using the model
https://www.nrel.gov/docs/fy18osti/70813.pdf
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