Predicted Energy Savings by Adopting Novel Radiant Cooling Systems in Combination with Natural Ventilation in the Tropics

Denon Sheppard, Adam Rysanek, Eric Teitelbaum, Kian Wee Chen, Dorit Aviv, Kipp Bradford, Forrest Meggers

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

1 Scopus citations

Abstract

Membrane-assisted radiant panels have demonstrated the ability to provide sub dew-point cooling in humid climates without condensing air moisture. However, there has previously been no method of simulating the energy usage of a building that utilizes this method of cooling. This paper proposes a framework that allows a thermophysics model developed for membrane-assisted panels to operate within energy simulation software. Methods are developed that allows the thermophysics model to communicate with a TRNSYS environment. The framework is then used to predict the potential energy savings that could be obtained by implementing this technology in Singapore. It was found that this climate can benefit from the adoption of a cooling system that combines membrane-assisted radiant cooling with natural ventilation. The framework developed in this study will bring membrane-assisted radiant cooling closer to widespread implementation.

Original languageEnglish (US)
Title of host publicationBS 2021 - Proceedings of Building Simulation 2021
Subtitle of host publication17th Conference of IBPSA
EditorsDirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen
PublisherInternational Building Performance Simulation Association
Pages621-628
Number of pages8
ISBN (Electronic)9781775052029
DOIs
StatePublished - 2022
Event17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium
Duration: Sep 1 2021Sep 3 2021

Publication series

NameBuilding Simulation Conference Proceedings
ISSN (Print)2522-2708

Conference

Conference17th IBPSA Conference on Building Simulation, BS 2021
Country/TerritoryBelgium
CityBruges
Period9/1/219/3/21

All Science Journal Classification (ASJC) codes

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

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