Abstract
A district cooling system is a sustainable means of distribution of cooling energy through mass production. A cooling medium like chilled water is generated at a central refrigeration plant and supplied to serve a group of consumer buildings through a piping network. Because of the substantial capital investment involved, an optimal design of the distribution piping configuration is one of the crucial factors for successful implementation of the district cooling scheme. In the present study, genetic algorithm (GA) incorporated with local search techniques was developed to find the optimal/near optimal configuration of the piping network in a hypothetical site. The effect of local search, mutation rate and frequency of local search on the performance of the GA in terms of both solution quality and computation time were investigated and presented in this paper. © 2007 Elsevier Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 2622-2629 |
| Journal | Energy Conversion and Management |
| Volume | 48 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - Oct 2007 |
Research Keywords
- District cooling system
- Genetic algorithm
- Local search
- Piping network
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