Nothing Special   »   [go: up one dir, main page]

Skip to main content

Leveraging Open Data for Energy Source Selection in Bi-valent Industrial Processes

  • Conference paper
  • First Online:
Energy Informatics (EI.A 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15271))

Included in the following conference series:

  • 18 Accesses

Abstract

The transition towards sustainable and efficient energy systems is a major challenge. This is particularly the case for industrial processes, where the choice of energy source has significant economic and environmental consequences.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. ENTSO-E, ENTSO-E Transparency Platform (2024). https://transparency.entsoe.eu/. (visited on 03/25/2024)

  2. Bundesnetzagentur, SMARD | Marktdaten (2024). https://www.smard.de/home/downloadcenter/download-marktdaten/. (visited on 01/05/2024)

  3. Chen, X., Li, J., Liu, H., Yin, Y., Zhang, Y.: Energy system diagnosis of paper-drying process, part 2: a model-based estimation of energy-saving potentials. Drying Technol. 34(10), 1219–1230 (2016). https://doi.org/10.1080/07373937.2015.1095206

    Article  Google Scholar 

  4. Piacentini, R.D.: Role of sustainable energy sources in decarbonization of industrial drying. Drying Technol. 40(3), 459–460 (2022). https://doi.org/10.1080/07373937.2022.2030958

    Article  Google Scholar 

  5. Naujock, H.-J., Blechschmidt, J.: Taschenbuch der Papiertechnik. Hanser, München (2021)

    Google Scholar 

  6. Egmason, W.: Fourdrinier Machine (2010). https://commons.wikimedia.org/ wiki/File:Fourdrinier.svg. Accessed 14 June 2024

  7. Bauer, R., Schopf, D., Klaus, G., Brotsack, R., Valdes, J.: Energy cell simulation for sector coupling with power-to-methane: a case study in lower bavaria. Energies 15(7), 2640 (2022). https://doi.org/10.3390/en15072640. https://www.mdpi.com/1996-1073/15/7/2640. (visited on 06/12/2024)

  8. Bauer, R., Schopf, D., Klaus, G., Brotsack, R., Valdes, J.: Energy cell simulation for sector coupling with power-to-methane: a case study in lower Bavaria. Energies 15(7), 2640 (2022). https://doi.org/10.3390/en15072640

    Article  Google Scholar 

  9. Löffler, K., Hainsch, K., Burandt, T., Oei, P.-Y., Kemfert, C., Von Hirschhausen, C.: Designing a model for the global energy SystemGENeSYS-MOD: an application of the open-source energy modeling system (OSeMOSYS). Energies 10(10), 1468 (2017). https://doi.org/10.3390/en10101468

    Article  Google Scholar 

  10. Jesse, B.-J., Morgenthaler, S., Gillessen, B., Burges, S., Kuckshinrichs, W.: Potential for optimization in European power plant fleet operation. Energies 13(3), 718 (2020). https://doi.org/10.3390/en13030718

    Article  Google Scholar 

  11. Fleiter, T., Fehrenbach, D., Worrell, E., Eichhammer, W.: Energy efficiency in the German pulp and paper industry a model-based assessment of saving potentials. Energy 40(1), 84–99 (2012). https://doi.org/10.1016/j.energy.2012.02.025

    Article  Google Scholar 

  12. Hubbe, M.A.: Energy efficiency challenges in pulp and paper manufacturing: a tutorial review. BioResources 16(4), 8567–8639 (2021). https://doi.org/10.15376/biores.16.4

    Article  Google Scholar 

  13. Maurer, F., Sejdija, J., Sander, V.: Decentralized energy data storages through an Open Energy Database Server: an ETL workflow for research databases (2024). https://doi.org/10.5281/ZENODO.10607895. https://zenodo.org/doi/10.5281/zenodo.10607895. (visited on 06/12/2024). Version Number: 1.0.0

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jonathan Sejdija .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sejdija, J., Maurer, F., Schemm, R., Kuperjans, I. (2025). Leveraging Open Data for Energy Source Selection in Bi-valent Industrial Processes. In: Jørgensen, B.N., Ma, Z.G., Wijaya, F.D., Irnawan, R., Sarjiya, S. (eds) Energy Informatics. EI.A 2024. Lecture Notes in Computer Science, vol 15271. Springer, Cham. https://doi.org/10.1007/978-3-031-74738-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-74738-0_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-74737-3

  • Online ISBN: 978-3-031-74738-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics