### 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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Title of host publication | IBPSA 2007 - International Building Performance Simulation Association 2007 |

Pages | 596-603 |

Number of pages | 8 |

Publication status | Published - 2007 |

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

### Other

Other | Building Simulation 2007, BS 2007 |
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City | Beijing |

Period | 07/9/3 → 07/9/6 |

### Fingerprint

### Keywords

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

### ASJC Scopus subject areas

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

### Cite this

*IBPSA 2007 - International Building Performance Simulation Association 2007*(pp. 596-603)

**Development of fast calculation method for ammonia refrigeration cycle and parameter adjustment with genetic algorithm.** / Togashi, Eisuke; Tanabe, Shinichi; Ataku, Tomohiro.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IBPSA 2007 - International Building Performance Simulation Association 2007.*pp. 596-603, Building Simulation 2007, BS 2007, Beijing, 07/9/3.

}

TY - GEN

T1 - Development of fast calculation method for ammonia refrigeration cycle and parameter adjustment with genetic algorithm

AU - Togashi, Eisuke

AU - Tanabe, Shinichi

AU - Ataku, Tomohiro

PY - 2007

Y1 - 2007

N2 - 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 [%].

AB - 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 [%].

KW - Ammonia heat pump

KW - Approximation

KW - Parameter adjustment

KW - Refprop

KW - Refrigeration cycle

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M3 - Conference contribution

AN - SCOPUS:84869750434

SP - 596

EP - 603

BT - IBPSA 2007 - International Building Performance Simulation Association 2007

ER -