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Well Drainage Optimization in Abandoned Mines Under Electricity Price Uncertainty

In: Operations Research Proceedings 2015

Author

Listed:
  • Reinhard Madlener

    (RWTH Aachen University)

  • Mathias Lohaus

    (RWTH Aachen University)

Abstract

In this pit drainage study, we investigate how pump control optimized with respect to the prevailing electricity prices impacts the operating costs. The optimization of the well operation takes the dependency of the electrical power on the water volume lifted and the changing water levels into account. The nonlinear dependency is transformed into a linear optimization problem in multiple stages. First, a superstructure optimization is used. Second, the characteristic pump profiles are linearized piecewise, resulting in a simplified problem where only the multiplication of a binary and a positive real variable remains. The multiplication of the two variables is replaced by a new variable, transforming the optimization problem into a mixed integer linear optimization (MILP) problem. The results of the superstructure optimization yield the optimal pump size and the minimal costs incurred, which are then used to optimize the maintenance strategy. We find that well costs can be reduced markedly by the optimization proposed.

Suggested Citation

  • Reinhard Madlener & Mathias Lohaus, 2017. "Well Drainage Optimization in Abandoned Mines Under Electricity Price Uncertainty," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 651-657, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_88
    DOI: 10.1007/978-3-319-42902-1_88
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