Examining Architectural Air and Temperature with Novel Sensing Techniques

James Coleman, Eric Teitelbaum, Hongshan Guo, Jake Read, Forrest Meggers

Research output: Contribution to journalConference article

Abstract

We have developed novel sensing techniques to understand mean radiant temperature and indoor air quality for a holistic understanding of indoor environment quality. A novel scanning mean radiant temperature sensor provides a spatially resolved description of the radiant heat transfer from all surfaces in a space. A low-cost deployable indoor air quality (iAQ) sensor system is capable of measuring CO2, VOC, CO, NOx, Formaldehyde, temperature and humidity. We claim the associated results of these two projects can radically improve building control algorithms, as well as inform the planning process of new buildings. We present the findings from developing and deploying the novel scanning sensor and the indoor air quality system. We demonstrate that these tools make it possible to discover sources of pollution, optimize air quality, increase system performance, and improve energy efficiency. The sensors are described and preliminary data presented.

Original languageEnglish (US)
Pages (from-to)1135-1140
Number of pages6
JournalEnergy Procedia
Volume122
DOIs
StatePublished - Jan 1 2017
EventInternational Conference on Future Buildings and Districts - Energy Efficiency from Nano to Urban Scale, CISBAT 2017 - Lausanne, Switzerland
Duration: Sep 6 2017Sep 8 2017

All Science Journal Classification (ASJC) codes

  • Energy(all)

Keywords

  • heating ventilation and air conditioning (HVAC)
  • indoor air quality (iAQ)
  • indoor environment quality (iEQ)
  • Internet of Things (IoT)
  • Mean Radiant Temperture (MRT)
  • sensors
  • thermal comfort

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