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Reducing Air-Conditioning System Energy Using a PMV Index
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The control system of central air-conditioning, based on PMV, not only improves thermal comfort but also reduces system energy consumption. A new thermal comfort degree softsensor model is built via use of the CMAC neural network nonlinear calibration function. It can realize on-line detection of thermal comfort. At the same time it can also realize real-time control of central air-conditioning system based on PMV. Simulation results demonstrate the simplicity and effectiveness of the presented method.
Li, H.; Zhang, Q. (2006). Reducing Air-Conditioning System Energy Using a PMV Index. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from