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. (C) 2009 Elsevier B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 196-209 |
| Number of pages | 14 |
| Journal | International Journal of Production Economics |
| Volume | 123 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2010 |
Keywords
- hybrid optimization
- genetic algorithms
- bioenergy facility
- supply chain
- optimization methods
- facility location
- biomass logistics
- heuristic methods
