ThermoNet: Fine-Grain Assessment of Building Comfort and Efficiency | Zendy

Jing Li | Zendy; Jin He | Zendy; Anish Arora | Zendy

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ThermoNet: Fine-Grain Assessment of Building Comfort and Efficiency

Author(s) -

Jing Li,

Jin He,

Anish Arora

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.06.046

Subject(s) - hvac , computer science , thermal comfort , wireless sensor network , air conditioning , ventilation (architecture) , energy consumption , wireless , real time computing , efficient energy use , indoor air quality , architectural engineering , simulation , telecommunications , environmental science , electrical engineering , computer network , meteorology , mechanical engineering , physics , engineering , environmental engineering

Understanding the performance of the Heating,Ventilation, and Air Conditioning (HVAC) system in largebuildings is a prerequisite for optimizing their energy effincy. Fine grain performance analysis has not, to our knowledge, received adequate attention thusfar.To address this issue weevaluate the thermal comfort and the energyefficiencyof a relatively modernHVACsystemina largebuilding based onbuilding-wide high-delity environmental data collected via a wireless sensor network over 12 months. Access to ne grain information reveals temporal and spatial dynamics that help quantify thelevelof (non-)compliance with the system's control objective and thebuilding's thermal comfort standards. The paper moreover describes ThermoNet, our hybrid wireless sensor network for monitoring a legacy building,which usesdutycyclingandadaptivepower controltoachievehighdatayieldwithlowpower consumption

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