energyscope 2.1.0

Energy system modeling and analysis.

EnergyScope Library

Overview

This library is part of the EnergyScope project, designed for energy system modeling and analysis. It includes the following core functionalities:

1. Model Setup and Documentation: A set of energy models tailored to specific scenarios, along with comprehensive documentation.
2. Pre-Calculation: Tools for preparing and processing input data.
3. Model Solving: Optimization tools for running simulations based on the pre-calculated input.
4. KPI Calculation and Plotting: Tools to compute Key Performance Indicators (KPIs) and visualize results.

For more detailed information, please refer to the full documentation.

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Installation

For detailed installation instructions, please refer to the Getting Started Guide.

To install the EnergyScope library, use the following command:

pip install energyscope

Alternatively, you may clone the repository and install the package manually:

git clone <repo-url>
cd <project-directory>
pip install .

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Acknowledging Authorship

In the academic spirit of collaboration, please acknowledge the authorship of this library in any scientific dissemination. Cite the EnergyScope project as follows:

• For reference to the origins of the EnergyScope project or the first online version, cite [2].
• For the EnergyScope MILP framework, cite [2].
• For Typical Day version, cite [3].
• For the carbon flows model, cite [4]
• For the mobility framework, cite [5] & [6]
• For the transition pathway models, cite [7] (Belgium) and [8] (Switzerland)
• For the multicell model, cite [9]
• For the non-energy demand integration, cite [10]
• For the infrastructure model, cite [11]
• For the decentralization model, cite [12]
• For the LCA model, cite [13]

The main contributors includes:

• Stefano Moret (EnergyScope Creator)
• Gauthier Limpens (EnergyScope Improver)
• Jonas Schnidrig (Library, Plotting, Documentation, Development)
• Xavier Rixhon (EnergyScope Developer, Documentation)
• Arthur Chuat (Library, Plotting, Documentation, Development)
• Gabriel Wiest (Library, Plotting, Documentation, Development)
• Cyrille Platteau (IT)

Refer to the Releases file for additional contributors and acknowledgments.

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Documentation

Full documentation, including a model overview, releases, publications, model formulation, data sources, and exercises, can be found at library.energyscope.ch.

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Bug Reporting and Support

• For bug reports or feature requests, please use the GitLab issue tracker.
• For general inquiries or simple questions, join our Discourse forum.

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Release Process

To release a new version of the library, follow these steps:

1. Ensure that the pipeline on the main branch is successful.
2. Update the version of the library in the file src/energyscope/__init__.py on the main branch:
   • For a bug fix, increase the digit on the right (e.g., from 0.4.1 to 0.4.2).
   • For new features, increase the middle digit and reset the bug fix digit (e.g., from 0.4.1 to 0.5.0).
   • For a major release or breaking changes, increase the digit on the left and reset the others (e.g., from 0.4.1 to 1.0.0).
3. Create a tag vx.y.z from the main branch:
   • The tag should be a v followed by the version x.y.z, matching the version specified earlier.
   • Example tags: v0.4.2, v0.5.0, or v1.0.0, based on the previous versioning examples.

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References

[1] V. Codina Gironès, S. Moret, F. Maréchal, D. Favrat (2015). Strategic energy planning for large-scale energy systems: A modelling framework to aid decision-making. Energy, 90(PA1), 173–186. https://doi.org/10.1016/j.energy.2015.06.008

[2] S. Moret, M. Bierlaire, F. Maréchal (2016). Strategic Energy Planning under Uncertainty: a Mixed-Integer Linear Programming Modeling Framework for Large-Scale Energy Systems. https://doi.org/10.1016/B978-0-444-63428-3.50321-0

[3] G. Limpens, S . Moret, H. Jeanmart, F. Maréchal (2019). EnergyScope TD: a novel open-source model for regional energy systems and its application to the case of Switzerland. https://doi.org/10.1016/j.apenergy.2019.113729

[4] X. Li, T. Damartzis, Z. Stadler, S. Moeret, B. Meier, M. Friedli, F. Maréchal (2020). Decarbonization in Complex Energy Systems: A Study on the Feasibility of Carbon Neutrality for Switzerland in 2050. Front. Energy Res. Volume 8, https://doi.org/10.3389/fenrg.2020.549615

[5] J. Schnidrig, T.-V. Nguyen, X. Li, F. Maréchal (2021). A modelling framework for assessing the impact of green mobility technologies on energy systems. ECOS https://infoscience.epfl.ch/entities/publication/d521fe41-b873-46da-b4b3-8d31938d3df5

[6] T.-V. Nguyen, J. Schnidrig, An analysis of the impacts of green mobility strategies and technologies on different European energy system F. Maréchal (2021). https://infoscience.epfl.ch/entities/publication/bf57ffc4-51fb-4f31-822c-ee51ceb79e39

[7] Limpens, G., Rixhon, X., Contino, F., & Jeanmart, H. (2024). EnergyScope Pathway: An open-source model to optimise the energy transition pathways of a regional whole-energy system. Applied Energy, 358, 122501, https://doi.org/10.1016/j.apenergy.2023.122501.

[8] X. Li, J. Schnidrig, M. Souttre, F. Maréchal (2022). A dynamic methodology for analyzing energy transitional pathways. IEEE PESGM https://doi.org/10.1109/PESGM48719.2022.9916902

[9] J. Schnidrig, X. Li, A. Slaymaker, T.-V. Nguyen, F. Maréchal (2022). Regionalisation in high share renewable energy system modelling. IEEE PESGM https://doi.org/10.1109/PESGM48719.2022.9917062

[10] X. Rixhon, D. Tonelli, M. Colla, K. Verleysen, G. Limpens, H. Jeanmart, F. Contino (2022). Integration of non-energy among the end-use demands of bottom-up whole-energy system models. Front. Energy Res. Volume 10. https://doi.org/10.3389/fenrg.2022.904777

[11] J. Schnidrig, R. Cherkaoui, Y. Calisesi, M. Margni, F. Maréchal (2023). On the role of energy infrastructure in the energy transition. Case study of an energy independent and CO2 neutral energy system for Switzerland. Front. Energy Res. Volume 11, https://doi.org/10.3389/fenrg.2023.1164813

[12] J. Schnidrig*, M. Souttre*, A. Chuat*, F. Maréchal, M. Margni (2023). Between Green Hills and Green Bills: Unveiling the Green Shades of Sustainability and Burden Shifting through Multi-Objective Optimization in Swiss Energy System Planning, JEMA, https://arxiv.org/abs/2402.12973

[13] J. Schnidrig, A. Chuat, C. Terrier, F. Maréchal, M. Margni (2024). Power to the People: On the Role of Districts in Decentralized Energy Systems. Energies, Vol 17, Issue 7. https://www.mdpi.com/1996-1073/17/7/1718#