Methodik zur Erzeugung von Wirkungsgradkennlinien/Methodology for generating efficiency curves – Parameterization of cross-sector agent-based energy system models

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Cover of Volume: wt Werkstattstechnik online Volume 116 (2026), Issue 04
Open Access Full access

wt Werkstattstechnik online

Volume 116 (2026), Issue 04

Authors:
Publisher
VDI fachmedien, Düsseldorf
Copyright Year
2026
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Chapter information

Open Access Full access

Volume 116 (2026), Issue 04

Methodik zur Erzeugung von Wirkungsgradkennlinien/Methodology for generating efficiency curves – Parameterization of cross-sector agent-based energy system models

Authors:
ISSN-Print
1436-4980
ISSN-Online
1436-4980
Preview:

The article presents a cross-technology, comparable modeling methodology as an end-to-end process for the efficient generation of efficiency curves from heterogeneous input data for agent-based energy system models. The proposed mathematical representation of the efficiency curves as functions enables computationally efficient simulation of cross-sector energy system models with a large number of different agents.

Bibliography

  1. [1] Klein, M.; Frey, U. J.; Reeg, M.: Models Within Models — Agent-Based Modelling and Simulation in Energy Systems Analysis. Journal of Artificial Societies and Social Simulation 22 (2019) 6, https://doi.org/10.18564/jasss.4129 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  2. [2] Wirtz, M.; Hahn, M.; Schreiber, T. et al.: Design optimization of multi-energy systems using MILP: Which model complexity and level of detail is sufficient? Energy Conversion and Management 240 (2021), #114249, https://doi.org/10.1016/j.enconman.2021.114249 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  3. [3] Yao, R.; Hu, Y.; Varga, L.: Applications of Agent-Based Methods in Multi-Energy Systems—A Systematic Literature Review. Energies 16 (2023) 5, pp. 1–36, https://doi.org/10.3390/en16052456 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  4. [4] Grimm, V.; Railsback, S. F.; Vincenot, C. E. et al.: The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism. Journal of Artificial Societies and Social Simulation 23 (2020) 2, #7, https://doi.org/10.18564/jasss.4259 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  5. [5] Wang, Y.; Zhang, N.; Kang, C.; et al.: Standardized Matrix Modeling of Multiple Energy Systems. IEEE Transactions on Smart Grid 10 (2019) 1, pp. 257–270, https://doi.org/10.1109/TSG.2017.2737662 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  6. [6] Fraunhofer ISE: Nationales Energiesystemmodell mit Fokus auf Intersektoralkopplung. Modelldokumentation: „REMod”. Stand: 2024. Internet: www.ise.fraunhofer.de/de/geschaeftsfelder/systemintegration/energiesystemanalyse/energiesystemmodelle-am-fraunhofer-ise/remod.html. Zugriff am 20.03.2026 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  7. [7] Weck-Ponten, S.; Frisch, J.; van Treck, C.: Simplified heat pump system model integrated in a tool chain for digitally and simulation-based planning shallow geothermal systems. Geothermics 106 (2022), #102579, https://doi.org/10.1016/j.geothermics.2022.102579 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  8. [8] Ruschenburg, J.; Cutic, T.; Herkel, S.: Validation of a black-box heat pump simulation model by means of field test results from five installations. Energy and Buildings 84 (2014), pp. 506–515, https://doi.org/10.1016/j.enbuild.2014.08.014 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  9. [9] Jin, H.; Spitler, J.D.: A parameter estimation based model of water-to-water heat pumps for use in energy calculation programs. ASHRAE Transactions 108 (2002), part 1 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  10. [10] Sperber, E.: Grey-Box-Modellierung des thermischen Verhaltens von Typgebäuden. Internationale Energiewirtschaftstagung, Wien. Stand: 2019. Internet: elib.dlr.de/126579/1/Sperber_IEWT_Grey-Box-Modellierung%20Typgeb%C3%A4ude_LFv4.pdf. Zugriff am 20.03.2026 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  11. [11] Asensio, F.; San Martín, J. I.; Zamora, I. et al.: Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells. Renewable and Sustainable Energy Reviews 113 (2019), #109283, https://doi.org/10.1016/j.rser.2019.109283 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  12. [12] Stachowiak, H.: Allgemeine Modelltheorie. New York: Springer-Verlag 1973 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  13. [13] Endrullat, K.; Epinatjeff, P.; Petzold, D. et al.: Grundlagen für Wärmepumpen. In: Endrullat, K.; Epinatjeff, P.; Petzold, D. et al. (Hrsg.): Wärmetechnik. Heidelberg: Springer-Verlag 1987, S. 335–355 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  14. [14] Tiator, I.; Schenker, M.: Wärmepumpen. Wärmepumpenanlagen. Würzburg: Vogel Business Media 2014 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  15. [15] Kemmler, T.; Thomas, B.: Simulation von Wärmepumpensystemen auf der Grundlage von Korrelationsfunktionen für die Leistungsdaten der Wärmepumpe. 16. Symposium Energieinnovation, Graz, 2020, S. 4–7 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32
  16. [16] N. N.: Vitocal Sole/Wasser-Wärmepumpen 2- und 3-stufig, 27,3 bis 197,9 kW. Firmenbroschüre. Allendorf (Eder): Viessmann Holding International GmbH 2022 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-32

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