Unravelling the interplay of local structure and physical properties in phase-change materials

2005 ◽  
Vol 5 (1) ◽  
pp. 56-62 ◽  
Author(s):  
Wojciech Wełnic ◽  
Ariesto Pamungkas ◽  
Ralf Detemple ◽  
Christoph Steimer ◽  
Stefan Blügel ◽  
...  
Keyword(s):  
Physical Properties ◽  
Phase Change ◽  
Local Structure ◽  
Phase Change Materials

scholarly journals Comments on Thermal Physical Properties Testing Methods of Phase Change Materials

2013 ◽  
Vol 5 ◽  
pp. 695762 ◽  
Author(s):  
Jingchao Xie ◽  
Yue Li ◽  
Weilun Wang ◽  
Song Pan ◽  
Na Cui ◽  
...  
Keyword(s):  
Physical Properties ◽  
Phase Change ◽  
Phase Change Materials ◽  
Testing Methods ◽  
Thermal Physical Properties

From local structure to nanosecond recrystallization dynamics in AgInSbTe phase-change materials

2011 ◽  
Vol 10 (2) ◽  
pp. 129-134 ◽  
Author(s):  
Toshiyuki Matsunaga ◽  
Jaakko Akola ◽  
Shinji Kohara ◽  
Tetsuo Honma ◽  
Keisuke Kobayashi ◽  
...  
Keyword(s):  
Phase Change ◽  
Local Structure ◽  
Phase Change Materials

scholarly journals Applicability of MCDM Algorithms for the Selection of Phase Change Materials for Thermal Energy Storage Heat Exchangers

2021 ◽  
pp. 611-622
Author(s):  
Paul Gregory Felix ◽  
Velavan Rajagopal ◽  
Kannan Kumaresan
Keyword(s):  
Energy Storage ◽  
Physical Properties ◽  
Phase Change ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Heat Exchangers ◽  
Phase Change Materials ◽  
Weight Estimation ◽  
Thermo Physical Properties ◽  
Selection Of

Latent heat thermal energy storage heat exchangers store heat energy by virtue of the phase transition that occurs in the thermal storage media. Since phase change materials (PCMs) are utilized as the media, there is a critical necessity for the appropriate selection of the PCM utilized. Since multiple thermo-physical properties and multiple PCMs are required to be evaluated for the selection, there arises a need for multiple criteria decision making (MCDM) algorithms to be adopted for the selection. But owing to the different weight estimation techniques employed and the voluminous quantity of selection algorithms available, there arises a need for a comparative methodology to be adopted. This study was intended to select an optimal PCM for a sustainable steam cooking application coupled with a thermal energy storage system. In this research study, six PCMs were chosen as the alternatives and five thermo-physical properties were chosen as the criteria for the evaluation. 11 different algorithms were augmented with 3 different weight estimation techniques and therefore a total of 33 algorithms were employed in this study. All of the algorithms have chosen Erythritol as the optimal PCM for the application. The outcomes of the MCDM algorithms have been validated through an intricate Pearson’s correlation coefficient study.

Sign in / Sign up

Export Citation Format

Share Document