Advertisement

Comparison of Heuristics Towards Approaching a Scheduling and Capacity Planning MINLP for Hydrogen Storage in Chemical Substances

  • Simon Schulte Beerbühl
  • Magnus Fröhling
  • Frank Schultmann
Conference paper
Part of the Operations Research Proceedings book series (ORP)

Abstract

The need for scheduling and capacity planning of electricity and energy storage technologies has risen in line with growing feed-in of intermittent wind and solar power. Hydrogen-based storage technologies usually feature non-linear as well as non-differentiable operating characteristics. This paper discusses different approaches towards integrating consumption figures derived from engineering simulations into scheduling and capacity planning problems. The comparison of best-fit functions to a heuristic-based approach of using comparably rapidly computable functions in addition with adjustment calculations shows, that reduction in complexity and calculation time leads to discrepancies at cost and furthermore at scheduling and capacity size level. Cost effects can be minimized by the heuristics, but different scheduling and capacity choice remains.

Keywords

Hydrogen Storage Electricity Consumption Electricity Price Storage Technology Capacity Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Epe, A., Mahlke, D., Martin, A., Wagner, H.-J., Weber, C., Woll, O., et al. (2009). Betriebsoptimierung zur ökologischen Bewertung von Speichern. In R. Schultz (Ed.), Innovative Modellierung und Optimierung von Energiesystemen (pp. 10–13). Berlin: LIT.Google Scholar
  2. 2.
    Gollmer, R., Möller, A., Römisch, W., Schultz, R., Schwarzbach, G., & Thomas, J. (1997). Optimale blockauswahl bei der kraftwerkseinsatzplanung der VEAG. In: VDI-Berichte 1352 zur Fachtagung ’Optimierung in der Energieversorgung II’, pp. 71–85. VDI, Düsseldorf.Google Scholar
  3. 3.
    Rasmussen, M., Andresen, G., & Greiner, M. (2012). Storage and balancing synergies in a fully or highly renewable pan-European power system. Energy Policy., 51, 642–651.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Simon Schulte Beerbühl
    • 1
  • Magnus Fröhling
    • 1
  • Frank Schultmann
    • 1
  1. 1.Institute for Industrial ProductionKarlsruhe Institute of TechnologyKarlsruheGermany

Personalised recommendations