The Study And Analysis On The Numerical Simulation Of The Airflow Distribution Of Partition-type Task-ambient Air Conditioning In Office Space And The Performance Of The System Of Air Supply

Task-ambient air conditioning (TAC) system with the ability of reducing energy consumption to some extent can produce a better thermal environment and breathing air quality than traditional air conditioning. As one type of the TAC system, partition-type TAC applies to the open office space. As its nozzles located on the partitions among work units are close to the people, so there needs more discussion about the comfort of TAC system. The supply nozzles and the parameters of the supply air including temperature and volume will effect its thermal environment and energy consumption.Based on the major means of numeric simulation and lab test, this paper studies the airflow distribution and microenvironment assessment of TAC system according to the typical TAC system in office building. Thermal comfort, energy utilization coefficient and personal exposure effectiveness under TAC system and also when running in company with background air conditioning are investigated by CFD commercial software FLUENT. A workstation simulating a typical office desk with partition-type TAC system is established in a controlled environment chamber to research the performance of TAC system. Results from tests are compared to those from numerical simulation which proves the feasibility and the veracity of simulation experiments.The paper surveys the regional office layout and the air-condition classification in modern office buildings, applies VAV to TAC system, detailedly studies the control method and the basis of each tache when VAV system being used, establishes a mathematical model in accordance with typical office building, calculates the total power consumption, compares the energy consumption between TAC system and traditional CV system, and finally educes results that the former can be able to reduce energy consumption by 22～35%.Conclusions obtained by test, numeric simulation and model analysis have established stable basis for predicting, analyzing and evaluating for air distribution of task-ambient air conditioning.