### Resumé

Originalsprog | Engelsk |
---|---|

Publikationsdato | 2012 |

Antal sider | 10 |

Status | Udgivet - 2012 |

Begivenhed | The 4th International Conference on Applied Energy - Suzhou, Kina Varighed: 5 jul. 2012 → 8 jul. 2012 Konferencens nummer: 4 |

### Konference

Konference | The 4th International Conference on Applied Energy |
---|---|

Nummer | 4 |

Land | Kina |

By | Suzhou |

Periode | 05/07/2012 → 08/07/2012 |

### Fingerprint

### Emneord

- Phase change material
- Thermal physical properties
- Inverse problem

### Citer dette

*A New Method to Determine Thermal Properties of the Mixture of PCM and Concrete*. Afhandling præsenteret på The 4th International Conference on Applied Energy, Suzhou, Kina.

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**A New Method to Determine Thermal Properties of the Mixture of PCM and Concrete.** / R., Cheng; Pomianowski, Michal Zbigniew; Heiselberg, Per; Wang, X.; Zang, Y.

Publikation: Konferencebidrag uden forlag/tidsskrift › Paper uden forlag/tidsskrift › Forskning

TY - CONF

T1 - A New Method to Determine Thermal Properties of the Mixture of PCM and Concrete

AU - R., Cheng

AU - Pomianowski, Michal Zbigniew

AU - Heiselberg, Per

AU - Wang, X.

AU - Zang, Y.

PY - 2012

Y1 - 2012

N2 - Integration of phase change materials in building envelopes is a technology that with high potential to decrease the building energy consumption and improve indoor thermal comfort. Accurate measurement of thermal physical properties of PCM-concretes is very important for simulation and evaluation of its energy saving performance. However, there isn’t an effective way to measure thermal physical properties of PCM-concretes accurately. The shortcomings of using traditional testing methods to measure thermal physical properties of PCM-concretes were firstly analyzed. Then a new method based on the inverse problem was proposed to deal with the measurements of thermal conductivity and specific heat of PCM-concretes during the phase change process. This method transforms the determination process to an optimization problem, which regarded the difference between the measured and calculated heat flux and temperature as the objective function, and the thermal conductivity and specific heat distribution with temperature will be automatically adjusted through the Sequential Quadratic Programming (SQP) algorithm. The equivalent specific heat of 4 wt% and 6 wt% PCM concretes were determined using the proposed methods. The accuracy (the maximum error is less than 2%) is acceptable for engineering use. The influences of temperature segments and optimization algorithms were analyzed. The results showed that, SQP method is with the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, some suggestions to apply this method to other similar problems were proposed to extend its application scope.

AB - Integration of phase change materials in building envelopes is a technology that with high potential to decrease the building energy consumption and improve indoor thermal comfort. Accurate measurement of thermal physical properties of PCM-concretes is very important for simulation and evaluation of its energy saving performance. However, there isn’t an effective way to measure thermal physical properties of PCM-concretes accurately. The shortcomings of using traditional testing methods to measure thermal physical properties of PCM-concretes were firstly analyzed. Then a new method based on the inverse problem was proposed to deal with the measurements of thermal conductivity and specific heat of PCM-concretes during the phase change process. This method transforms the determination process to an optimization problem, which regarded the difference between the measured and calculated heat flux and temperature as the objective function, and the thermal conductivity and specific heat distribution with temperature will be automatically adjusted through the Sequential Quadratic Programming (SQP) algorithm. The equivalent specific heat of 4 wt% and 6 wt% PCM concretes were determined using the proposed methods. The accuracy (the maximum error is less than 2%) is acceptable for engineering use. The influences of temperature segments and optimization algorithms were analyzed. The results showed that, SQP method is with the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, some suggestions to apply this method to other similar problems were proposed to extend its application scope.

KW - Phase change material

KW - Thermal physical properties

KW - Inverse problem

KW - Phase change material

KW - Thermal physical properties

KW - Inverse problem

M3 - Paper without publisher/journal

ER -