Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8575
Title: Online optimal ventilation control of building air-conditioning systems
Authors: Wang, S 
Sun, ZW
Sun, YJ
Zhu, N
Keywords: Demand-controlled ventilation
Energy performance
Occupancy detection
Optimal control
Ventilation control
Issue Date: 2011
Publisher: SAGE Publications
Source: Indoor and built environment, 2011, v. 20, no. 1, p. 129-136 How to cite?
Journal: Indoor and built environment 
Abstract: This paper presents a ventilation control strategy for multi-zone variable air volume (VAV) air-conditioning systems; integrating the sequential split-range control strategy for air-handing units with an aim to optimise the fresh air flow rate by compromising the indoor air quality and energy consumption. In this strategy, a CO2 -based adaptive demand-controlled ventilation scheme would employ a dynamic multi-zone ventilation equation for multi-zone air-conditioning systems, in which a CO 2-based dynamic occupancy detection scheme would be used for online occupancy detection. The strategy would identify the critical zones online, and fully consider the outdoor air demand of critical zones, while, a model-based fresh air flow rate optimal control scheme is employed for VAV air-conditioning systems with the primary air handling units. An adaptive optimisation algorithm would be used for optimising the fresh air flow rate to minimise the energy consumption. The energy saving potentials in the Hong Kong climate condition by optimising fresh air ventilation and the practical implementation of the control strategy are also discussed in this paper.
Description: This Special Issue of journal papers is based on the advanced research studies that had been carried out by the Center for Sustainable Healthy Buildings (CSHeB) in Korea. The papers in this Special Issue of Indoor and Built Environment were selected from a symposium presentation held on 27th May 2010 in Seoul, South Korea.
URI: http://hdl.handle.net/10397/8575
ISSN: 1420-326X
EISSN: 1423-0070
DOI: 10.1177/1420326X10394491
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