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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
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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
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| 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
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| Geographic Resolution
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Node
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| Time resolution
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Hour
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| Network coverage
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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
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