Identification of Flowrates and Pressures in HVAC Distribution Network Based on Collective Intelligence System

Abstract

This paper introduced a new method for the identification of flowrates and pressures in HVAC distribution network based on a novel collective intelligence system. The proposed method implements the identification of pressures and flowrates by solving basic energy and flowrate balance functions locally, and exchanging information with neighbor nodes. The proposed method is applied to two typical distribution networks. The convergence time and identified pressure distributions are discussed. The potential of using the collective intelligence system for the HVAC system control is further explored, and the benefits are discussed. Without central configuration and calculation, the proposed method is more feasible in building level control practice than traditional methods.