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Locating a bioenergy facility using a hybrid optimization method

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  • Rentizelas, Athanasios A.
  • Tatsiopoulos, Ilias P.

Abstract

In this paper, the optimum location of a bioenergy generation facility for district energy applications is sought. A bioenergy facility usually belongs to a wider system, therefore a holistic approach is adopted to define the location that optimizes the system-wide operational and investment costs. A hybrid optimization method is employed to overcome the limitations posed by the complexity of the optimization problem. The efficiency of the hybrid method is compared to a stochastic (genetic algorithms) and an exact optimization method (Sequential Quadratic Programming). The results confirm that the hybrid optimization method proposed is the most efficient for the specific problem.

Suggested Citation

  • Rentizelas, Athanasios A. & Tatsiopoulos, Ilias P., 2010. "Locating a bioenergy facility using a hybrid optimization method," International Journal of Production Economics, Elsevier, vol. 123(1), pages 196-209, January.
    • Handle: RePEc:eee:proeco:v:123:y:2010:i:1:p:196-209
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