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Advanced Optimization Tool for Networks and Energy
by Utrecht Univeristy
Authors: Jan F. Wiegner, Julia L. Tiggeloven, Luca Bertoni, Inge M. Ossentjuk, Matteo Gazzani
Contact: Jan F. Wiegner, Matteo Gazzani
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AdOpT-NET0 is a Python Library for bottom-up multi energy system modelling. It can model conversion technologies and networks for any carrier and optimize the design and operation of your energy system.
Based on Python (Pyomo). Using for data processing.
Website / Documentation
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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Multi Energy System Model
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Sectors
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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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User dependent
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Geographic Resolution
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User dependent
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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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MILP, LP
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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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Cost minimization; emission minimization; user defined
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Uncertainty modeling
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Monte carlo
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Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Wiegner et al., (2025). AdOpT-NET0: A technology-focused Python package for the optimization of multi-energy systems. Journal of Open Source Software, 10(106), 7402
https://dx.doi.org/https://doi.org/10.21105/joss.07402
Reports produced using the model
Wiegner, J. F., Gibescu, M., & Gazzani, M. (forthcoming). Unleashing the full potential of the north sea – identifying key energy infrastructure synergies for 2030 and 2040. Forthcoming.
https://doi.org/10.48550/arXiv.2411.00540
Tiggeloven, J. L., Faaij, A. P. C., Kramer, G. J., & Gazzani, M. (2025). Optimizing emissions
reduction in ammonia-ethylene chemical clusters: Synergistic integration of electrification,
carbon capture, and hydrogen. Industrial and Engineering Chemistry Research. https://doi.org/10.1021/acs.iecr.4c03817
Tiggeloven, J. L., Faaij, A. P. C., Kramer, G. J., & Gazzani, M. (2023). Optimization of
electric ethylene production: Exploring the role of cracker flexibility, batteries, and renewable
energy integration. Industrial and Engineering Chemistry Research, 62(40), 16360–16382.
https://doi.org/10.1021/ACS.IECR.3C02226
Wiegner, J. F., Grimm, A., Weimann, L., & Gazzani, M. (2022). Optimal design and operation
of solid sorbent direct air capture processes at varying ambient conditions. Industrial &
Engineering Chemistry Research, 61(34), 12649–12667. https://doi.org/10.1021/acs.iecr.2c00681
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