Scale model test platform for large space airflow distribution

Abstract

The invention discloses a scale model test platform for large space airflow distribution. The scale model test platform comprises a large space scale model, an air processing system, a thermal environment system, an air conditioner cold source system and a data collecting and controlling system. The air conditioner cold source system is respectively connected with the air processing system and the thermal environment system to be used for providing freeze water for the air processing system and the thermal environment system. The air processing system is connected with the large space scale model to be used for providing airflow distribution inside a large space scale model. The thermal environment system is used for providing thermal environment outside the large space scale model, the data collecting and controlling system is installed on the air processing system and the thermal environment system and used for collecting air parameters inside and outside the large space scale model and for controlling the air parameters. Based on the similarity principle, the scale model test platform is established, can be used for finishing various large space building scale model tests, is wide in application range, flexible in using, visual in test process and real in test result, serves as a test and verification platform for large space building airflow distribution optimizing design and research and is a pioneer of the field.

Description

technical field [0001] The invention relates to a reduced-scale model test platform, in particular to a scale-scale model test platform for large-space airflow organization, which belongs to the technical field of heating, ventilating and air-conditioning. Background technique [0002] Whether the airflow organization is reasonable has a direct impact on the comfort of the air-conditioned room. A reasonable airflow organization can avoid local overcooling and overheating inside the room, reduce the feeling of blowing, and at the same time reduce operating energy consumption. For storey height over 5m and volume over 10000m 3 For a large-space building, due to its large internal space, the airflow organization has a more obvious impact on the indoor thermal environment. If the airflow organization design is unreasonable, it will cause obvious uneven cooling and heating in the large-space interior, and the operating energy consumption will greatly increase. , therefore, the o...

AI Technical Summary

Problems solved by technology

At present, CFD simulation is the most commonly used method for the optimization design of airflow organization in large spaces. The optimal airflow organization form is determined by computer simulation comparison. However, the computer simulation results are affected by many factors, such as physical model construction, boundary condition settings, etc. It often leads to the discrepancy between the simulation results and the actual effect, resulting in imperfect airflow organization; there are also designers who rely on the design experience of the designer to design the airflow organization through simple calculations, such design effects are more likely to deviate from the actual effect, so that the best airflow organization cannot be realized

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