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Optimization and Engineering

, Volume 20, Issue 2, pp 605–645 | Cite as

Resilient layout, design and operation of energy-efficient water distribution networks for high-rise buildings using MINLP

  • Lena C. Altherr
  • Philipp Leise
  • Marc E. PfetschEmail author
  • Andreas Schmitt
Research Article

Abstract

Water supply of high-rise buildings requires pump systems to ensure pressure requirements. The design goals of these systems are energy and cost efficiency, both in terms of fixed cost as well as during operation. In this paper, cost optimal decentralized and tree-shaped water distribution networks are computed, where placements of pumps at different locations in the building are allowed. We propose a branch-and-bound algorithm for solving the corresponding mixed-integer nonlinear program, which exploits problem specific structure and outperforms state-of-the-art solvers. A further desirable feature is that the system is K-resilient, i.e., still able to operate under K pump failures during the use phase. Using a characterization of resilient solutions via a system of inequalities, the branch-and-bound scheme is extended by a separation algorithm to produce cost optimal resilient solutions. This implicitly solves a multilevel optimization problem which contains the computation of worst-case failures. Moreover, using a large set of test instances, the increased energy-efficiency of decentralized networks for the supply of building is shown and properties of resilient layouts are discussed.

Keywords

MINLP Water supply Network Decentralization Resilience Branch-and-bound Pump system Energy-efficiency 

Notes

Acknowledgements

Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project Number 57157498—SFB 805.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Lena C. Altherr
    • 1
  • Philipp Leise
    • 1
  • Marc E. Pfetsch
    • 2
    Email author
  • Andreas Schmitt
    • 2
  1. 1.Chair of Fluid Systems, Department of Mechanical EngineeringTechnische Universität DarmstadtDarmstadtGermany
  2. 2.Research Group Optimization, Department of MathematicsTechnische Universität DarmstadtDarmstadtGermany

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