Demand-driven power saving by multiagent negotiation for HVAC control


Buildings account for roughly 40% of all U.S. energy use, and HVAC systems are a major culprit. The goal of this research is to reduce power consumption without sacrificing human comfort. This paper presents a cooling demand estimation from heat generation to assess the quantity of cooling supply, which helps diagnose potential problems in the HVAC system. A negotiation-based approach is proposed to balance power consumption, cooling for human comfort, and smooth operation for equipment health. Experiments were conducted with the NTU CSIE July 2012 dataset [6] as well as online live experiments in the computer science building on campus. The experiments demonstrated that the proposed method reduced 3.81% to 5.96% of power consumption with consideration of smoothness.

DOI: 10.1145/2516911.2516918

Extracted Key Phrases

4 Figures and Tables

Cite this paper

@inproceedings{Tsao2013DemanddrivenPS, title={Demand-driven power saving by multiagent negotiation for HVAC control}, author={Yi-Ting Tsao and Jane Yung-jen Hsu}, booktitle={AIIP/Semantic Cities@IJCAI}, year={2013} }