AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Influence of experimental conditions on measured thermal properties used to model phase change materials

Benoit Delcroix1( )Michaël Kummert1Ahmed Daoud2Jonathan Bouchard2
École Polytechnique de Montréal, Department of Mechanical Engineering, 2500 Chemin de Polytechnique, Montréal, QC, H3T 1J4, Canada
Laboratoire des Technologies de l’Énergie, Hydro-Québec Research Institute, 600 Avenue de la Montagne, Shawinigan, QC, G9N 7N5, Canada
Show Author Information

Abstract

Modeling phase change materials (PCMs) thermal behavior requires solving a system of non-linear equations to account for temperature-dependent thermal capacity and thermal conductivity. These properties depend on the PCM temperature and state (solid, liquid or mushy). Most models rely on enthalpy-temperature or specific heat-temperature curves to consider the variable thermal capacity during heating and cooling processes. These curves are generally obtained through experimental methods such as a Differential Scanning Calorimetry (DSC) test or the T-history method. Significant differences can be observed between the results of these methods, due to different experimental conditions. In order to clarify the influence of experimental conditions, experimentations on a bio-based PCM are performed with varying heat transfer rates and different configurations (PCM samples and PCM-equipped walls). Enthalpy-temperature or specific heat-temperature curves are computed for each case using an inverse method. A comparison between the results obtained with different methods and different heat transfer rates shows significant differences. The phase change temperature range obtained with the inverse method applied to the PCM samples is larger than the range obtained with the DSC test. The tests on the PCM-equipped walls show that varying heat transfer rates has a significant impact on the phase change temperature range and the hysteresis between heating and cooling curves. Higher rates increase the hysteresis and shift the phase change temperature range towards colder temperatures. Given the observed differences between properties obtained from different experimental conditions, it is recommended to carefully select the method used to define PCM enthalpy-temperature curves, taking into account the modeling application (PCM configuration and expected heating / cooling rates).

References

 
K Atchonouglo, M Banna, C Vallée, J-C Dupré (2008). Inverse transient heat conduction problems and identification of thermal parameters. Heat and Mass Transfer, 45: 23-29.
 
R Baetens, BP Jelle, A Gustavsen (2010). Phase change materials for building applications: A state-of-the-art review. Energy and Buildings, 42: 1361-1368.
 
TL Bergman, AS Lavine, FP Incropera, DP DeWitt (2011). Fundamentals of Heat and Mass Transfer, 7th edn. Hoboken, NJ, USA: John Wiley & Sons.
 
JE Braun, N Chaturvedi (2002). An inverse gray-box model for transient building load prediction. HVAC&R Research, 8: 73-99.
 
A Castell, M Medrano, C Castellón, LF Cabeza (2009). Analysis of the simulation models for the use of PCM in buildings. In: Proceedings of International Effstock: Thermal Energy Storage for Efficiency and Sustainability. Stockholm, Sweden.
 
R Cheng, M Pomianowski, X Wang, P Heiselberg, Y Zhang (2013). A new method to determine thermophysical properties of PCM-concrete brick. Applied Energy, 112: 988-998.
 
DB Crawley, LK Lawrie, FC Winkelmann, WF Buhl, YJ Huang, et al. (2001). EnergyPlus: Creating a new-generation building energy simulation program. Energy and Buildings, 33: 319-331.
 
B Delcroix, M Kummert, A Daoud, J Bouchard (2014). Experimental assessment of a phase change material in walls for heating and cooling applications. In: Proceedings of eSim, Ottawa, Canada.
 
A Dentel, W Stephan (2010). Thermal comfort in rooms with active PCM constructions. In: Proceedings of 8th International Conference on System Simulation in Buildings, Liège, Belgium.
 
Energy Systems Research Unit (1998). ESP-r User Guide: The ESP-r System for Building Energy Simulation. University of Strathclyde, Glasgow, UK.
 
German Institute for Quality Assurance and Certification (2009). Phase Change Material. Berlin, Germany.
 
LE Goodrich (1978). Efficient numerical technique for one-dimensional thermal problems with phase-change. International Journal of Heat and Mass Transfer, 21: 615-621.
 
E Günther, S Hiebler, H Mehling, R Redlich (2009). Enthalpy of phase change materials as a function of temperature: Required accuracy and suitable measurement methods. International Journal of Thermophysics, 30: 1257-1269.
 
E Günther, H Mehling, S Hiebler (2007). Modeling of subcooling and solidification of phase change materials. Modelling and Simulation in Materials Science and Engineering, 15: 879-892.
 
D Heim, JA Clarke (2004). Numerical modelling and thermal simulation of PCM-gypsum composites with ESP-r. Energy and Buildings, 36: 795-805.
 
C-H Huang, Y Jan-Yuan (1995). An inverse problem in simultaneously measuring temperature-dependent thermal conductivity and heat capacity. International Journal of Heat and Mass Transfer, 38: 3433-3441.
 
M Ibánez, A Lázaro, B Zalba, LF Cabeza (2005). An approach to the simulation of PCMs in building applications using TRNSYS. Applied Thermal Engineering, 25, 1796-1807.
 
SA Klein, WA Beckman, JW Mitchell, JA Duffie, NA Duffie, TL Freeman (2010). TRNSYS 17: A Transient System Simulation Program. Madison, USA: Solar Energy Laboratory, University of Wisconsin. Available at http://sel.me.wisc.edu/trnsys.
 
J Kosny, TK Stovall, SS Shrestha, DW Yarbrough (2010). Theoretical and experimental thermal performance analysis of complex thermal storage membrane containing bio-based phase-change material (PCM). In: Proceedings of XI International Conference on Thermal Performance of the Exterior Envelopes of Whole Buildings, Clearwater Beach, FL, USA.
 
LW Kula, MM Yovanovich (1991). Characteristic length of complex bodies for transient conduction. In: Proceedings of ASME Thermal Engineering Conference, vol. 1, pp. 259-267.
 
F Kuznik, J Virgone (2009). Experimental investigation of wallboard containing phase change material: Data for validation of numerical modeling. Energy and Buildings, 41: 561-570.
 
F Kuznik, J Virgone, K Johannes (2010). Development and validation of a new TRNSYS type for the simulation of external building walls containing PCM. Energy and Buildings, 42: 1004-1009.
 
Lawrence Berkeley National Laboratory (2013). THERM 6.3/WINDOW 6.3—NFRC Simulation Manual.
 
H Mehling, LF Cabeza (2008). Heat and Cold Storage with PCM: An up to Date Introduction into Basics and Applications. Berlin: Springer.
 
CO Pedersen (2007). Advanced zone simulation in EnergyPlus: Incorporation of variable properties and phase change material (PCM) capability. In: Proceedings of 10th IBPSA International Conference, Beijing, China, pp. 1341-1345.
 
Phase Change Energy Solutions (2008). BioPCM longevity cycle testing. Available at http://www.phasechange.com/index.php/en/contractor-library.
 
ME Poulad, AS Fung, D Naylor (2011). Effects of convective heat transfer coefficient on the ability of PCM to reduce building energy demand. In: Proceedings of 12th IBPSA International Conference, Sydney, Australia, pp. 270-277.
 
GW Recktenwald (2011). Finite-Difference Approximations to the Heat Equation (Vol. 0). Portland, OR, USA. Available at http://www.f.kth.se/~jjalap/numme/FDheat.pdf.
 
H Schranzhofer, P Puschnig, A Heinz, W Streicher (2006). Validation of a TRNSYS simulation model for PCM energy storages and PCM wall construction elements. In: Proceedings of 10th International Conference on Thermal Energy Storage, Pomona, NJ, USA.
 
A Sharma, VV Tyagi, CR Chen, D Buddhi (2009). Review on thermal energy storage with phase change materials and applications. Renewable and Sustainable Energy Reviews, 13: 318-345.
 
S Shrestha, W Miller, T Stovall, A Desjarlais, K Childs, W Porter, S Coley (2011). Modeling PCM-enhanced insulation system and benchmarking EnergyPlus against controlled field data. In: Proceedings of 12th IBPSA International Conference, Sydney, Australia, pp. 800-807
 
A Solé, L Miró, C Barreneche, I Martorell, LF Cabeza (2013). Review of the T-history method to determine thermophysical properties of phase change materials (PCM). Renewable and Sustainable Energy Reviews, 26: 425-436.
 
ZS Spakovszki (2014). Radiation heat transfer between planar surfaces. Available at http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node136.html. Accessed Feb. 25, 2015.
 
PC Tabares-Velasco, C Christensen, M Bianchi (2012). Verification and validation of EnergyPlus phase change material model for opaque wall assemblies. Building and Environment, 54: 186-196.
 
MathWorks (2014). GA—Find minimum of function using genetic algorithm. The MathWorks Inc. Available at http://www.mathworks.com/help/gads/ga.html. Accessed Jul. 2, 2014.
 
V R Voller, M Cross (1981). Accurate solutions of moving boundary problems using the enthalpy method. International Journal of Heat and Mass Transfer, 24: 545-556.
 
M Yao, A Chait (1993). An alternative formulation of the apparent heat capacity method for phase change problems. Numerical Heat Transfer, Part B: Fundamentals, 24: 279-300.
 
B Zalba, JM Marín, LF Cabeza, H Mehling (2003). Review on thermal energy storage with phase change: materials, heat transfer analysis and applications. Applied Thermal Engineering, 23: 251-283.
Building Simulation
Pages 637-650
Cite this article:
Delcroix B, Kummert M, Daoud A, et al. Influence of experimental conditions on measured thermal properties used to model phase change materials. Building Simulation, 2015, 8(6): 637-650. https://doi.org/10.1007/s12273-015-0241-8

570

Views

24

Crossref

N/A

Web of Science

27

Scopus

5

CSCD

Altmetrics

Received: 09 March 2015
Revised: 18 May 2015
Accepted: 01 June 2015
Published: 24 June 2015
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2015
Return