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| | |website=https://linktr.ee/zengarden_ | | |website=https://linktr.ee/zengarden_ |
| | |logo=Zen garden logo text.png | | |logo=Zen garden logo text.png |
| − | |text_description=ZEN-garden is an open-source linear optimization model of long-term energy system transition pathways. ZEN-garden, with a modular and flexible design, can be used to optimize different types of energy systems, value chains, or other network-based systems. | + | |text_description=ZEN-garden is an open-source linear optimization model of long-term energy system transition pathways. ZEN-garden, with a modular and flexible design, can be used to optimize different types of energy systems, value chains, or other network-based systems. ZEN-garden particularly provides a detailed description of transition pathways with, among other features, cumulative or annual carbon limits, capacity expansion constraints, and construction years. Data handling is user-oriented with features covering unit consistency, scaling, and parallelizable scenario analysis. Results output by ZEN-garden are investigated on an intuitive and flexible visualization platform. |
| | |Primary outputs=Energy systems transition pathways | | |Primary outputs=Energy systems transition pathways |
| | |User documentation=https://zen-garden.readthedocs.io/en/latest/ | | |User documentation=https://zen-garden.readthedocs.io/en/latest/ |
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| | |citation_references=Mannhardt, J., Ganter, A., Burger, J., De Marco, F., Kunz, L., Schmidt-Engelbertz, L., Gabrielli, P., & Sansavini, G. (2025). ZEN-garden: Optimizing energy transition pathways with user-oriented data handling. SoftwareX, 29, 102059. DOI:10.1016/j.softx.2025.102059 | | |citation_references=Mannhardt, J., Ganter, A., Burger, J., De Marco, F., Kunz, L., Schmidt-Engelbertz, L., Gabrielli, P., & Sansavini, G. (2025). ZEN-garden: Optimizing energy transition pathways with user-oriented data handling. SoftwareX, 29, 102059. DOI:10.1016/j.softx.2025.102059 |
| | |citation_doi=https://doi.org/10.1016/j.softx.2025.102059 | | |citation_doi=https://doi.org/10.1016/j.softx.2025.102059 |
| | + | |report_references=Mannhardt, J., Gabrielli, P., & Sansavini, G. (2024). Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system. iScience, 27(12), 111369. https://doi.org/10.1016/j.isci.2024.111369 |
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| | + | Mannhardt, J., Gabrielli, P., & Sansavini, G. (2023). Collaborative and selfish mitigation strategies to tackle energy scarcity: The case of the European gas crisis. iScience, 26(5), 106750. https://doi.org/10.1016/j.isci.2023.106750 |
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| | + | Ganter, A., Lonergan, K. E., Büchi, H. M., & Sansavini, G. (2024). Shifting to low-carbon hydrogen production supports job creation but does not guarantee a just transition. One Earth, 7(11), 1981–1993. https://doi.org/10.1016/j.oneear.2024.10.009 |
| | + | |
| | + | Ganter, A., Gabrielli, P., & Sansavini, G. (2024). Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains. Renewable and Sustainable Energy Reviews, 194, 114314. https://doi.org/10.1016/j.rser.2024.114314 |
| | |Model input file format=No | | |Model input file format=No |
| | |Model file format=No | | |Model file format=No |
| | |Model output file format=No | | |Model output file format=No |
| | }} | | }} |
Latest revision as of 07:50, 9 May 2025
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Zero-emissions Energy Networks
by ETH Zürich
Authors:
Jacob Mannhardt, Alissa Ganter, Lukas Kunz, Lukas Schmidt-Engelbertz, Janis Fluri, Vinzenz Muser, Johannes Burger, Francesco De Marco, Christoph Funke, Nour Boulos, Paolo Gabrielli, Giovanni Sansavini
Contact:
ZEN-garden team
|
ZEN-garden is an open-source linear optimization model of long-term energy system transition pathways. ZEN-garden, with a modular and flexible design, can be used to optimize different types of energy systems, value chains, or other network-based systems. ZEN-garden particularly provides a detailed description of transition pathways with, among other features, cumulative or annual carbon limits, capacity expansion constraints, and construction years. Data handling is user-oriented with features covering unit consistency, scaling, and parallelizable scenario analysis. Results output by ZEN-garden are investigated on an intuitive and flexible visualization platform.
Based on Python. Using for data processing.
Website / Documentation
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 Open Source
MIT license (MIT)
Directly downloadable
Some input data shipped
|
| Model Scope |
Model type and solution approach |
| Model class
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Framework
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| Sectors
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All
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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dispatch, investment
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| Regions
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All
|
| Geographic Resolution
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Node
|
| Time resolution
|
Hour
|
| Network coverage
|
transmission, distribution, DC load flow
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|
| Model type
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Optimization
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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 net-present costs or minimize carbon emissions
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| Uncertainty modeling
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Scenario Analysis (Deterministic)
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| Suited for many scenarios / monte-carlo
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Yes
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|
References
Scientific references
Mannhardt, J., Ganter, A., Burger, J., De Marco, F., Kunz, L., Schmidt-Engelbertz, L., Gabrielli, P., & Sansavini, G. (2025). ZEN-garden: Optimizing energy transition pathways with user-oriented data handling. SoftwareX, 29, 102059. DOI:10.1016/j.softx.2025.102059
https://dx.doi.org/https://doi.org/10.1016/j.softx.2025.102059
Reports produced using the model
Mannhardt, J., Gabrielli, P., & Sansavini, G. (2024). Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system. iScience, 27(12), 111369. https://doi.org/10.1016/j.isci.2024.111369
Mannhardt, J., Gabrielli, P., & Sansavini, G. (2023). Collaborative and selfish mitigation strategies to tackle energy scarcity: The case of the European gas crisis. iScience, 26(5), 106750. https://doi.org/10.1016/j.isci.2023.106750
Ganter, A., Lonergan, K. E., Büchi, H. M., & Sansavini, G. (2024). Shifting to low-carbon hydrogen production supports job creation but does not guarantee a just transition. One Earth, 7(11), 1981–1993. https://doi.org/10.1016/j.oneear.2024.10.009
Ganter, A., Gabrielli, P., & Sansavini, G. (2024). Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains. Renewable and Sustainable Energy Reviews, 194, 114314. https://doi.org/10.1016/j.rser.2024.114314
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