Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

PCM (Phase Change Material) Optimization Modeling for Passive Cooling in South Texas

Bronson Ferster1,2, Hui Shen1, Joseph D. Rendall1
1Texas A&M University-Kingsville, Kingsville, United States.
2Pennsylvania State University, University Park, United States.


DOI: https://doi.org/10.26868/25222708.2017.255
Abstract: In the twenty-first century, the generation and utilization of energy is receiving intensified scrutiny. Space heating and cooling dominate the consumption of residential energy. PCM (Phase Change Material) integrated building envelopes have demonstrated great potential in mitigating residential energy demands. PCM envelopes store surplus energy through latent heat. Many factors (i.e. thickness and geographic location) contribute to the performance of PCM integrated building; the range of performance variables results in an ambiguous standard of expectation for PCM performance. This study uses an optimization theory in order to set a performance expectation and determine a combination of variables that maximize PCM performance for a given region. South Texas is an extremely warm climate that may dramatically benefit from PCM induced passive cooling, a still largely understudied application. Confidence has been rising in the ability of EnergyPlus to accurately model PCM envelopes through simulation. Therefore, EnergyPlus is used to model the impact of PCMs in south Texas. The PCM optimization theory calls for setting a geographic location and an application (cooling or heating); then, optimize PCM performance through simulation by finding the ideal PCM melting temperature, the optimum location within the envelope, and the most essential surfaces of the envelope
Pages: 958 - 964
Paper:
BS2017_255