### Abstract

A parameter adjustment method for an ammonia heat pump chiller using a genetic algorithm (GA) was developed. The parameters were automatically adjusted by the data of performance at rated point. Upon using the proposed adjustment method for parameters, output values of the simulation model agreed quite well with the performance data at rated point. The deviation of output was less than 1.2 [%] from the rated value. To speed up the adjustment process, a new approximation method with neural network was also proposed. This method decreasesthe calculation time required in obtaining refrigerant thermodynamic properties. The time required to calculate saturated and other refrigerant states were decreased by 14 times and 33 times respectively, while the average relative error was less than 0.04 [%] and 0.5 [%] when compared to the exact solution from REFPROP. The time required to calculate the refrigerant cycle decreased 20 times, while relative error was within 3 [%].

Original language | English |
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Pages | 596-603 |

Number of pages | 8 |

Publication status | Published - 2007 Dec 1 |

Event | Building Simulation 2007, BS 2007 - Beijing, China Duration: 2007 Sep 3 → 2007 Sep 6 |

### Conference

Conference | Building Simulation 2007, BS 2007 |
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Country | China |

City | Beijing |

Period | 07/9/3 → 07/9/6 |

### Keywords

- Ammonia heat pump
- Approximation
- Parameter adjustment
- Refprop
- Refrigeration cycle

### ASJC Scopus subject areas

- Computer Science Applications
- Building and Construction
- Architecture
- Modelling and Simulation

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## Cite this

*Development of fast calculation method for ammonia refrigeration cycle and parameter adjustment with genetic algorithm*. 596-603. Paper presented at Building Simulation 2007, BS 2007, Beijing, China.