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Energies 2014, 7(6), 3599-3617; doi:10.3390/en7063599

Novel Modeling and Control Strategies for a HVAC System Including Carbon Dioxide Control

1
Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Korea
2
Advanced R&D Team, Samsung Electronics Co. Ltd., Suwon 443-742, Korea
*
Author to whom correspondence should be addressed.
Received: 17 February 2014 / Revised: 27 April 2014 / Accepted: 20 May 2014 / Published: 2 June 2014
(This article belongs to the Special Issue Energy Efficient Building Design and Operation 2014)
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Abstract

Conventional heating, ventilating, and air conditioning (HVAC) systems have traditionally used the temperature and the humidity ratio as the quantitative indices of comfort in a room. Recently, the carbon dioxide (CO2) concentration has also been recognized as having an important contribution to room comfort. This paper presents the modeling of an augmented HVAC system including CO2 concentration, and its control strategies. Because the proposed augmented HVAC system is multi-input multi-output (MIMO) and has no relative degree problem, the dynamic extension algorithm can be employed; then, a feedback linearization technique is applied. A linear-quadratic regulator (LQR) is designed to optimize control performance and to stabilize the proposed HVAC system. Simulation results are provided to validate the proposed system model, as well as its linearized control system.
Keywords: HVAC system; MIMO system; dynamic extension algorithm; feedback linearization HVAC system; MIMO system; dynamic extension algorithm; feedback linearization
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Kang, C.-S.; Park, J.-I.; Park, M.; Baek, J. Novel Modeling and Control Strategies for a HVAC System Including Carbon Dioxide Control. Energies 2014, 7, 3599-3617.

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