Published Date
Energy and Buildings
15 June 2016, Vol.122:175–184, doi:10.1016/j.enbuild.2016.04.009
Abstract
Phase change material (PCM) has been widely integrated in building envelops to increase their thermal inertia performance. To evaluate the thermal inertia performance of materials and envelops, Chinese Thermal Design Code has provided three indicators, namely, thermal storage coefficient, thermal resistance and thermal inertia index. The existing simplified method calculating the thermal storage coefficient is only applicable for materials with constant thermal properties. For those with varying thermal properties, such as PCM, however, further developments are still required. To solve this issue, both dimensional analysis and numerical simulation were carried out to develop relationships between the thermal storage coefficient of PCM and its other thermal properties (e.g. thermal conductivity, density and the effective equivalent specific heat). Based on the developed relationships, a simplified method calculating the thermal storage coefficient of PCM was proposed in this study. This simplified method was then combined into the thermal inertia index for evaluating the thermal inertia performance of building envelops with PCM.
Abbreviations
PCM, phase change material
EVAC, ethylene vinyl-acetate copolymer
Phase change material
Thermal inertia performance
Thermal storage coefficient
Dimensional analysis
Building simulation
For further details log on website :
http://www.sciencedirect.com/science/article/pii/S0378778816302444
Energy and Buildings
15 June 2016, Vol.122:175–184, doi:10.1016/j.enbuild.2016.04.009
Received 19 July 2015. Revised 2 April 2016. Accepted 4 April 2016. Available online 6 April 2016.
Highlights
- •A simplified method calculating the thermal storage coefficient of PCM is proposed.
- •The Rayleigh's method in dimensional analysis is introduced and applied.
- •Simulation results from EnergyPlus are calibrated against real measured data.
- •The thermal inertia performance of building envelops with PCM is evaluated.
Phase change material (PCM) has been widely integrated in building envelops to increase their thermal inertia performance. To evaluate the thermal inertia performance of materials and envelops, Chinese Thermal Design Code has provided three indicators, namely, thermal storage coefficient, thermal resistance and thermal inertia index. The existing simplified method calculating the thermal storage coefficient is only applicable for materials with constant thermal properties. For those with varying thermal properties, such as PCM, however, further developments are still required. To solve this issue, both dimensional analysis and numerical simulation were carried out to develop relationships between the thermal storage coefficient of PCM and its other thermal properties (e.g. thermal conductivity, density and the effective equivalent specific heat). Based on the developed relationships, a simplified method calculating the thermal storage coefficient of PCM was proposed in this study. This simplified method was then combined into the thermal inertia index for evaluating the thermal inertia performance of building envelops with PCM.
Abbreviations
Keywords
Nomenclature
- C
- Constant
- c
- Specific heat capacity (J/kg °C)
- D
- Thermal inertia index
- k
- Thermal conductivity (W/m °C)
- kg
- Dimension of mass
- m
- Dimension of length
- q
- Heat flux (W/m2)
- R
- Thermal resistance (m2 °C/W)
- s
- Dimension of time
- t
- Temperature (°C)
- TSC
- Thermal storage coefficient (W/m2 °C)
- x
- Independent variable
- y
- Variable
- Z
- Periodic time of the heating effect (s)
- ρ
- Density (kg/m3)
- δ
- Thickness (m)
- τ
- Time (s)
- °C
- Dimension of temperature
- Δh
- Enthalpy difference (kJ/kg)
- Δ t
- Temperature difference (°C)
Subscripts
- Br
- Brick
- i
- Node position or serial number
- In
- Polystyrene board
- max
- Maximum
- min
- Minimum
- n
- Serial number
- PCM
- phase change material
- sum
- Sum
- wall
- Wall
- wall, in
- Inner surface of wall
- wall, out
- Outer surface of wall
Superscript
- j
- Time coordinate
- ⁎ Corresponding author.
For further details log on website :
http://www.sciencedirect.com/science/article/pii/S0378778816302444
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