Buildings integrated phase change materials: modellings and validation of a novel tool for the energy performance analysis

Maurizio Cellura, Francesco Guarino, Annamaria Buonomano, Vasken Dermardiros, Giovanni Avagliano, Adolfo Palombo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper a novel dynamic energy performance simulation model for the Phase Change Materials (PCM) analysis is presented. The model is implemented in a suitable computer code, written in MatLab and called DETECt, for complete building energy analyses. In the presented model, the “effective specific heat” method is implemented. Here, the specific heat of each PCM layer changes as a function of the system phase and temperature in both melting and freezing processes. A model validation is carried out by comparing numerical results vs. measurements obtained at Solar Laboratory of Concordia University (Montreal, Canada). The simulation model allows exploring the potential of PCMs to increase the thermal inertia of buildings envelopes and to assess the effects/weight of several design parameters (e.g. PCMs melting temperature, etc.) on the building heating and cooling energy demand and on the related thermal comfort. In order to show the potentiality of the presented simulation model, suitable case studies referred to residential and office buildings, to three different weather conditions and to two alternative PCM layouts in the building envelope, are developed.
Original languageEnglish
Title of host publicationProceedings of BSA 2017
Pages459-467
Number of pages9
Publication statusPublished - 2017

Publication series

NameBUILDING SIMULATION APPLICATIONS BSA ...

All Science Journal Classification (ASJC) codes

  • Architecture
  • Building and Construction
  • Computer Science Applications
  • Modelling and Simulation

Fingerprint Dive into the research topics of 'Buildings integrated phase change materials: modellings and validation of a novel tool for the energy performance analysis'. Together they form a unique fingerprint.

Cite this