The energy-saving potential of the demand-controlled ventilation (DCV) has been highlighted in several literatures these years, there are still some important questions related to the implementation of CO 2 -based DCV. One of the most critical issues is that low CO 2 levels alone do not guarantee acceptable indoor air quality (IAQ). In this paper, a simulation model was built to study the on-line control strategy of fresh air to meet the requirement of IAQ in office buildings. The control strategy is proposed to provide reasonable guidelines to determine fresh air rate to dilute the pollutants generated by human and non-human factors. The simulation results show the strategy can maintain acceptable IAQ and improve energy efficiency apparently.
In this paper, a simulation model was built to study the CO 2 -based outdoor air rate control system in public buildings by PID control and fuzzy-PI control method. It is shown that classical PID algorithm can eliminates steady-state error, but the overtune is big and transitional time is long. The PID algorithm only suits for the case of CO 2 concentration changed small. When the CO 2 concentration has big change, fuzzy-PID algorithm can trace the CO 2 concentration, and control the outdoor air rates reasonably. The VAV system of public building employed fuzzy -PID algorithm can obtain a better control performance than that classical PID algorithm.Index Terms-public building , CO 2 concentration , outdoor air rate,fuzzy-PID control,simulation
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