High detail stationary optimization models for gas networks: validation and results

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Martin Schmidt
  • Marc C. Steinbach
  • Bernhard M. Willert

Research Organisations

External Research Organisations

  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
  • Energie Campus Nürnberg (EnCN)
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Details

Original languageEnglish
Pages (from-to)437-472
Number of pages36
JournalOptimization and engineering
Volume17
Issue number2
Publication statusPublished - 29 Dec 2015

Abstract

Due to strict regulatory rules in combination with complex nonlinear physics, major gas network operators in Germany and Europe face hard planning problems that call for optimization. In part 1 of this paper we have developed a suitable model hierarchy for that purpose. Here we consider the more practical aspects of modeling. We validate individual model components against a trusted simulation tool, give a structural overview of the model hierarchy, and use its large variety of approximations to devise robust and efficient solution techniques. An extensive computational study demonstrates the suitability of our models and techniques for previously unsolvable problems in gas network planning.

Keywords

    Gas networks, High-detail modeling, Model validation, Sequential NLP solving, Stationary operation

ASJC Scopus subject areas

Cite this

High detail stationary optimization models for gas networks: validation and results. / Schmidt, Martin; Steinbach, Marc C.; Willert, Bernhard M.
In: Optimization and engineering, Vol. 17, No. 2, 29.12.2015, p. 437-472.

Research output: Contribution to journalArticleResearchpeer review

Schmidt M, Steinbach MC, Willert BM. High detail stationary optimization models for gas networks: validation and results. Optimization and engineering. 2015 Dec 29;17(2):437-472. doi: 10.1007/s11081-015-9300-3
Schmidt, Martin ; Steinbach, Marc C. ; Willert, Bernhard M. / High detail stationary optimization models for gas networks : validation and results. In: Optimization and engineering. 2015 ; Vol. 17, No. 2. pp. 437-472.
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