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Proceedings ArticleDOI

Thermal comfort control based on neural network for HVAC application

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TLDR
In this article, a thermal comfort controller for indoor thermal environment regulation is proposed, where predicted mean vote (PMV) is adopted as the control objective and six variables are taken into consideration.
Abstract
This paper describes the design of a thermal comfort controller for indoor thermal environment regulation. In this controller, predicted mean vote (PMV) is adopted as the control objective and six variables are taken into consideration. Meanwhile, a kind of direct neural network (NN) control is designed, and a thermal space model for variable-air-volume (VAV) application is developed. Based on the computer simulation, it is seen that this thermal comfort controller can maintain the indoor comfort level within the desired range under both heating/cooling modes. Furthermore, by combining the energy saving strategy with the VAV application, it also shows the potential for energy saving in future

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Citations
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Journal ArticleDOI

Theory and applications of HVAC control systems – A review of model predictive control (MPC)

TL;DR: In this paper, the authors present a literature review of model predictive control (MPC) for HVAC systems, with an emphasis on the theory and applications of MPC for heating, ventilation and air conditioning (HVAC) systems.
Journal ArticleDOI

Advanced control systems engineering for energy and comfort management in a building environment—A review

TL;DR: This paper presents a multi-agent control system (MACS) that successfully manage the user's preferences for thermal and illuminance comfort, indoor air quality and energy conservation and is simulated using TRNSYS/MATLAB.
Journal ArticleDOI

A review on optimized control systems for building energy and comfort management of smart sustainable buildings

TL;DR: In this article, the authors present a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB's).
Journal ArticleDOI

Predictive controllers for thermal comfort optimization and energy savings

TL;DR: In this article, the authors focused on the study of indoor thermal comfort control problem in buildings equipped with HVAC (heating, ventilation and air conditioning) systems, where the occupants' thermal comfort sensation is addressed by the well-known comfort index known as PMV and by a comfort zone defined in a psychrometric chart.
Journal ArticleDOI

Model-based Fault Detection and Diagnosis of HVAC systems using Support Vector Machine method

TL;DR: A new method by combining the model-based FDD method and the Support Vector Machine (SVM) method can help to maintain the health of the HVAC systems, reduce energy consumption and maintenance cost.
References
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Book

Thermal comfort: analysis and applications in environmental engineering,

TL;DR: In this paper, an account of research undertaken by the author and his colleagues at the Technical University of Denmark and at the Institute for Environmental Research, Kansas State University is described. But the data in the literature on thermal comfort are extensive, they are disjointed Other CABI sites 
Journal ArticleDOI

The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller

TL;DR: In this paper, a fuzzy control for HVAC system is described, focused on the application of an adaptive fuzzy controller that avoids the modelling of indoor and outdoor environments. And a simplified application, referring to a room belonging to an university building, is finally reported.
Journal ArticleDOI

Nonlinear control of a heating, ventilating, and air conditioning system with thermal load estimation

TL;DR: A nonlinear controller for a heating, ventilating, and air conditioning (HVAC) system capable of maintaining comfort conditions under time varying thermal loads designed using Lyapunov stability theory is presented.
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