A new method to determine thermophysical properties of PCM-concrete brick

Rui Cheng, Michal Zbigniew Pomianowski, Xin Wang, Per Heiselberg, Yinping Zhang

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

34 Citationer (Scopus)

Resumé

Accurate measurement of thermophysical properties of PCM-concrete brick is very important for simulation and evaluation of its energy saving performance. However, there is currently no effective way to accurately measure thermophysical properties of PCM-concrete brick. First we analyzed the shortcomings of using traditional testing methods to measure thermophysical properties of PCM-concrete brick. We then proposed a new method based on the inverse problem, which deals with the measurements of thermal conductivity and specific heat of PCM-concrete brick during the phase change process. The equivalent specific heat distributions of 4 wt% and 6 wt% PCM-concrete brick were determined using this method. We found that the accuracy (the relative error of the calculated cp based on the inverse problem and their real values ranges from 10.43% to 19.4%) was acceptable for engineering use. The influences of the temperature segments span and optimization algorithms were analyzed. The results showed that the Sequential Quadric Programming (SQP) method provides the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, we suggested how to apply this method to other similar problems to extend its application scope.
OriginalsprogEngelsk
TidsskriftApplied Energy
Vol/bind112
Sider (fra-til)988-998
Antal sider11
ISSN0306-2619
DOI
StatusUdgivet - 2013

Fingerprint

Pulse code modulation
Brick
Thermodynamic properties
Concretes
inverse problem
Inverse problems
Specific heat
testing method
thermal conductivity
Particle swarm optimization (PSO)
Thermal conductivity
Energy conservation
brick
method
engineering
Testing
simulation
temperature
Temperature

Emneord

  • Phase change material
  • Thermophysical properties
  • Inverse problem
  • Energy storage
  • building material

Citer dette

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title = "A new method to determine thermophysical properties of PCM-concrete brick",
abstract = "Accurate measurement of thermophysical properties of PCM-concrete brick is very important for simulation and evaluation of its energy saving performance. However, there is currently no effective way to accurately measure thermophysical properties of PCM-concrete brick. First we analyzed the shortcomings of using traditional testing methods to measure thermophysical properties of PCM-concrete brick. We then proposed a new method based on the inverse problem, which deals with the measurements of thermal conductivity and specific heat of PCM-concrete brick during the phase change process. The equivalent specific heat distributions of 4 wt{\%} and 6 wt{\%} PCM-concrete brick were determined using this method. We found that the accuracy (the relative error of the calculated cp based on the inverse problem and their real values ranges from 10.43{\%} to 19.4{\%}) was acceptable for engineering use. The influences of the temperature segments span and optimization algorithms were analyzed. The results showed that the Sequential Quadric Programming (SQP) method provides the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, we suggested how to apply this method to other similar problems to extend its application scope.",
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author = "Rui Cheng and Pomianowski, {Michal Zbigniew} and Xin Wang and Per Heiselberg and Yinping Zhang",
year = "2013",
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A new method to determine thermophysical properties of PCM-concrete brick. / Cheng, Rui; Pomianowski, Michal Zbigniew; Wang, Xin; Heiselberg, Per; Zhang, Yinping.

I: Applied Energy, Bind 112, 2013, s. 988-998.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A new method to determine thermophysical properties of PCM-concrete brick

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AU - Pomianowski, Michal Zbigniew

AU - Wang, Xin

AU - Heiselberg, Per

AU - Zhang, Yinping

PY - 2013

Y1 - 2013

N2 - Accurate measurement of thermophysical properties of PCM-concrete brick is very important for simulation and evaluation of its energy saving performance. However, there is currently no effective way to accurately measure thermophysical properties of PCM-concrete brick. First we analyzed the shortcomings of using traditional testing methods to measure thermophysical properties of PCM-concrete brick. We then proposed a new method based on the inverse problem, which deals with the measurements of thermal conductivity and specific heat of PCM-concrete brick during the phase change process. The equivalent specific heat distributions of 4 wt% and 6 wt% PCM-concrete brick were determined using this method. We found that the accuracy (the relative error of the calculated cp based on the inverse problem and their real values ranges from 10.43% to 19.4%) was acceptable for engineering use. The influences of the temperature segments span and optimization algorithms were analyzed. The results showed that the Sequential Quadric Programming (SQP) method provides the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, we suggested how to apply this method to other similar problems to extend its application scope.

AB - Accurate measurement of thermophysical properties of PCM-concrete brick is very important for simulation and evaluation of its energy saving performance. However, there is currently no effective way to accurately measure thermophysical properties of PCM-concrete brick. First we analyzed the shortcomings of using traditional testing methods to measure thermophysical properties of PCM-concrete brick. We then proposed a new method based on the inverse problem, which deals with the measurements of thermal conductivity and specific heat of PCM-concrete brick during the phase change process. The equivalent specific heat distributions of 4 wt% and 6 wt% PCM-concrete brick were determined using this method. We found that the accuracy (the relative error of the calculated cp based on the inverse problem and their real values ranges from 10.43% to 19.4%) was acceptable for engineering use. The influences of the temperature segments span and optimization algorithms were analyzed. The results showed that the Sequential Quadric Programming (SQP) method provides the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, we suggested how to apply this method to other similar problems to extend its application scope.

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