Research Article
The Optimization of Chiller Loading by Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Table 1
Operating conditions of chiller system.
| | Chiller | 1 | 2 | 3 | 4 | 5 |
| | Chiller water supply temperature (°C) | 5 | 5 | 5 | 5 | 5 | | Cooling water return temperature (°C) | 28 | 28 | 28 | 28 | 28 | | Chiller water flow rate (m3/hr) | 531 | 501 | 567 | 521 | 528 | | Cooling water flow rate (m3/hr) | 705 | 742 | 698 | 722 | 674 | | Cooling capacity (RT) | 1,280 | 1,280 | 1,280 | 1,250 | 1,250 | | Voltage (V) | 4,160 | 4,160 | 4,160 | 4,160 | 4,160 | | Input power (kW) | 1,062 | 1,062 | 1,062 | 957 | 957 |
|
|
