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Modelling Tools for Engineering-Level Planning of Energy Communities: A Review Cover

Modelling Tools for Engineering-Level Planning of Energy Communities: A Review

By: I. Antoskova,  A. Gavrilovs and  A. Mutule  
Open Access
|Jan 2026

References

  1. Cuenca, J. J., Jamil, E., & Hayes, B. (2021). State of the art in energy communities and sharing economy concepts in the electricity sector. IEEE Transactions on Industry Applications, 57(6), 5737–5746. doi: 10.1109/TIA.2021.3114135
  2. Vernay, A. L., Sebi, C., & Arroyo, F. (2023). Energy community business models and their impact on the energy transition: Lessons learnt from France. Energy Policy, 175, 113473. doi: 10.1016/j.enpol.2023.113473
  3. Bukovszki, V., Magyari, Á., Braun, M. K., Párdi, K., & Reith, A. (2020). Energy modelling as a trigger for energy communities: A joint socio-technical perspective. Energies, 13(9), 2274. doi: 10.3390/en13092274
  4. Vecchi, F., Stasi, R., & Berardi, U. (2024). Modelling tools for the assessment of Renewable Energy Communities. Energy Reports, 11, 3941–3962. doi: 10.1016/j.egyr.2024.03.048
  5. Prina, M. G., Manzolini, G., Moser, D., Nastasi, B., & Sparber, W. (2020). Classification and challenges of bottom-up energy system models – A review. Renewable and Sustainable Energy Reviews, 129, 109917. doi: 10.1016/j.rser.2020.109917
  6. Cuesta, M. A., Castillo-Calzadilla, T., & Borges, C. E. (2020). A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities. Renewable and Sustainable Energy Reviews, 122, 109691. doi: 10.1016/j.rser.2019.109691
  7. Fattahi, A., Sijm, J., & Faaij, A. (2020). A systemic approach to analyze integrated energy system modeling tools: A review of national models. Renewable and Sustainable Energy Reviews, 133, 110195. doi: 10.1016/j.rser.2020.110195
  8. Chang, M., Thellufsen, J. Z., Zakeri, B., Pickering, B., Pfenninger, S., Lund, H., & Østergaard, P. A. (2021). Trends in tools and approaches for modelling the energy transition. Applied Energy, 290, 116731. doi: 10.1016/j.apenergy.2021.116731
  9. Yazdanie, M., & Orehounig, K. (2021). Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective. Renewable and Sustainable Energy Reviews, 137, 110607. doi: 10.1016/j.rser.2020.110607
  10. Kazmi, H., Munné-Collado, Í., Mehmood, F., Syed, T. A., & Driesen, J. (2021). Towards data-driven energy communities: A review of open-source datasets, models and tools. Renewable and Sustainable Energy Reviews, 148, 111290. doi: 10.1016/j.rser.2021.111290
  11. Heider, A., Reibsch, R., Blechinger, P., Linke, A., & Hug, G. (2021). Flexibility options and their representation in open energy modelling tools. Energy Strategy Reviews, 38, 100737. doi: 10.1016/j.esr.2021.100737
  12. Martínez-Gordón, R., Morales-España, G., Sijm, J., & Faaij, A. P. C. (2021). A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region. Renewable and Sustainable Energy Reviews, 141, 110857. doi: 10.1016/j.rser.2021.110857
  13. Klemm, C., & Vennemann, P. (2021). Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches. Renewable and Sustainable Energy Reviews, 135, 110206. doi: 10.1016/j.rser.2020.110206
  14. Martins, F., Patrão, C., Moura, P., & de Almeida, A. T. (2021). A review of energy modeling tools for energy efficiency in smart cities. Smart Cities, 4(4), 1420–1436. doi: 10.3390/smartcities4040075
  15. Horak, D., Hainoun, A., Neugebauer, G., & Stoeglehner, G. (2022). A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation. Renewable and Sustainable Energy Reviews, 162, 112426. doi: 10.1016/j.rser.2022.112426
  16. Laveneziana, L., Prussi, M., & Chiaramonti, D. (2023). Critical review of energy planning models for the sustainable development at company level. Energy Strategy Reviews, 49, 101136. doi: 10.1016/j.esr.2023.101136
  17. Liu, Z., Luo, H., Zhang, Y., Luo, T., & Yang, X. (2024). A review of simulation software for energy systems: Design, functionality, and applications. Thermal Science and Engineering Progress, 53, 102760. doi: 10.1016/j.tsep.2024.102760
  18. Höffner, D., & Glombik, S. (2024). Energy system planning and analysis software – A comprehensive meta-review with special attention to urban energy systems and district heating. Energy, 307, 132542. doi: 10.1016/j.energy.2024.132542
  19. Xu, Y., Litardo, J., Del Pero, C., Leonforte, F., & Caputo, P. (2024). District energy models: A comparative assessment of features and criteria for tools selection. Energy and Buildings, 314, 114291. doi: 10.1016/j.enbuild.2024.114291
  20. Majidi, H., Hayati, M. M., Breyer, C., Mohammadi-ivatloo, B., Honkapuro, S., Karjunen, H., ... & Sihvonen, V. (2025). Overview of energy modeling requirements and tools for future smart energy systems. Renewable and Sustainable Energy Reviews, 212, 115367. doi: 10.1016/j.rser.2025.115367
  21. Mohseni-Gharyehsafa, B., Bampoulas, A., Finn, D., & Pallonetto, F. (2025). Energy flexibility and management software in building clusters: A comprehensive review. Next Energy, 8, 100250. doi: 10.1016/j.nxener.2025.100250
  22. Gaugl, R., Walenta, K., & Wogrin, S. (2025). A comparative analysis of energy system modeling frameworks. e+ i Elektrotechnik und Informationstechnik, 1–19. doi: 10.1007/s00502-025-01345-x
  23. Silinto, B. F., van der Laag Yamu, C., Zuidema, C., & Faaij, A. P. (2025). Hybrid renewable energy systems for rural electrification in developing countries: A review on energy system models and spatial explicit modelling tools. Renewable and Sustainable Energy Reviews, 207, 114916. doi: 10.1016/j.rser.2024.114916
  24. Samarasinghe, S. L., Moghimi, M., & Kaparaju, P. (2025). A review of modelling tools for net-zero emission energy systems, based on model capabilities, modelling criteria and model availability. Renewable Energy Focus, 53, 100659. doi: 10.1016/j.ref.2024.100659
  25. Kachirayil, F., Weinand, J. M., Scheller, F., & McKenna, R. (2022). Reviewing local and integrated energy system models: insights into flexibility and robustness challenges. Applied Energy, 324, 119666. doi: 10.1016/j.apenergy.2022.119666
  26. Gjorgievski, V. Z., Cundeva, S., & Georghiou, G. E. (2021). Social arrangements, technical designs and impacts of energy communities: A review. Renewable Energy, 169, 1138–1156. doi: 10.1016/j.renene.2021.01.078
  27. Honarmand, M. E., Hosseinnezhad, V., Hayes, B., Shafie-Khah, M., & Siano, P. (2021). An overview of demand response: From its origins to the smart energy community. IEEE Access, 9, 96851–96876. doi: 10.1109/ACCESS.2021.3094090
  28. Gržanić, M., Capuder, T., Zhang, N., & Huang, W. (2022). Prosumers as active market participants: A systematic review of evolution of opportunities, models and challenges. Renewable and Sustainable Energy Reviews, 154, 111859. doi: 10.1016/j.rser.2021.111859
  29. Helistö, N., Kiviluoma, J., Morales-España, G., & O’Dwyer, C. (2021). Impact of operational details and temporal representations on investment planning in energy systems dominated by wind and solar. Applied Energy, 290, 116712. doi: 10.1016/j.apenergy.2021.116712
  30. Lawrence Berkeley National Laboratory. (n.d.). The Distributed Energy Resources Customer Adoption Model (DER-CAM). Grid Integration Group. Available at: https://gridintegration.lbl.gov/der-cam
  31. Calliope. (n.d.). Calliope: A multi-scale energy systems modelling framework. Available at: https://www.callio.pe/
  32. Open Energy Modelling Framework. (n.d.). Oemof: Open energy modelling framework. Available at: https://oemof.org/
  33. Hilpert, S., Kaldemeyer, C., Krien, U., Günther, S., Wingenbach, C., & Plessmann, G. (2018). The Open Energy Modelling Framework (oemof) – A new approach to facilitate open science in energy system modelling. Energy Strategy Reviews, 22, 16–25. doi: 10.1016/j.esr.2018.07.001
  34. PyPSA Developers. (n.d.). PyPSA documentation. Available at: https://docs.pypsa.org/latest
  35. Sustainable Energy Planning Research Group. (n.d.). EnergyPLAN: Advanced energy system analysis model. EnergyPLAN. Available at: https://energyplan.eu/
  36. Lund, H., & Münster, E. J. R. E. (2003). Modelling of energy systems with a high percentage of CHP and wind power. Renewable Energy, 28(14), 2179–2193. doi: 10.1016/S0960-1481(03)00125-3
  37. HOMER Energy LLC. (n.d.). HOMER energy modeling software. Available at: https://www.homerenergy.com/
  38. Bahramara, S., Moghaddam, M. P., & Haghifam, M. R. (2016). Optimal planning of hybrid renewable energy systems using HOMER: A review. Renewable and Sustainable Energy Reviews, 62, 609-620. doi: 10.1016/j.rser.2016.05.039
  39. Technical University of Munich. (n.d.). urbs: A linear optimisation model for distributed energy systems. Available at: https://urbs.readthedocs.io/en/latest
  40. Energy Exemplar. (n.d.). PLEXOS energy market simulation software. Available at: https://www.energyexemplar.com/plexos
  41. EMD International A/S. (n.d.). energyPRO software. Available at: https://www.emd-international.com/software/energypro
  42. Østergaard, P. A., Andersen, A. N., & Sorknæs, P. (2022). The business-economic energy system modelling tool energyPRO. Energy, 257, 124792. doi: 10.1016/j.energy.2022.124792
  43. Universidad de Zaragoza. (n.d.). iHOGA software. Available at: https://ihoga.unizar.es/en/
  44. Technische Universität München. (n.d.). Ficus: A (mixed integer) linear optimisation model for local energy systems. Available at: https://ficus.readthedocs.io/en/latest/index.html
DOI: https://doi.org/10.2478/lpts-2026-0006 | Journal eISSN: 2255-8896 | Journal ISSN: 0868-8257
Language: English
Page range: 65 - 83
Published on: Jan 26, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2026 I. Antoskova, A. Gavrilovs, A. Mutule, published by Institute of Physical Energetics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.