Shopping mall integration case of pedestrian flow and air-conditioning energy management

There is always an endless stream of people coming in and out of shopping malls. When there are many people, you may feel that the air conditioner is not cold enough, but when there are few people, you may feel very cold. How to achieve optimal comfort in this situation?
The shopping mall that recently implemented the case proposed to integrate related issues related to pedestrian flow combined with air-conditioning energy management. In order to effectively meet the needs of the owners, AIRTEK began to discuss and research solutions.

This case uses the API Fetch function. This set of functions does not require specialized API software personnel. General system engineers can complete API data integration, monitor the flow of people in the mall through on-site CCTV, and use BACsoft software to perform regression analysis based on temperature and humidity. The results are used to generate an accurate energy baseline to achieve the best energy performance verification.

In addition, the flow of people is combined with the outside air temperature and humidity combined with air-conditioning control to make the on-site return air temperature and other drop values ​​respond more quickly, making the overall air-conditioning control more stable, achieving a more comfortable temperature, and more effectively achieving optimal energy saving and Energy management benefits.

BACsoft 3.0-API Fetch Features :
✅API integration does not require project development by software engineers. General system engineers can complete API data integration.

BACsoft 3.0-Regression Analysis Features :
✅Multiple regression analysis modules can be created at the same time, and the data of each module can be dynamically loaded according to time (for example, the data of the same month last year can be automatically loaded for regression analysis based on monthly changes).

※ After importing the flow data in this case, it can be applied to :
 -->By adding human flow to the reference data of regression analysis and using the dynamic regression analysis function, a more accurate real-time power consumption baseline (Baseline) can be obtained compared to the traditional regression of only the temperature and humidity data for the entire year, making energy saving verification more reliable.
 -->It can analyze the trend of people flow, match the control of demand loading and unloading, and optimize the demand loading and unloading control logic.
 -->(Figure 1.) Using the flow of people in conjunction with outside air temperature and humidity for air conditioning control has a faster response than on-site return air temperature and other lagging indicators. It can make the overall air conditioning control more stable and improve the comfort of personnel (not hot and cold). , can more effectively achieve energy saving.

Picture source-AIRTEK-Department of Engineering-Engineer Liu Yixiang

1. [Air conditioning control based on the flow of people and the outside temperature and humidity]



2. [ Architecture configuration diagram ]



3. [ BACsoft-API setting screen diagram ]



4. [ Regression analysis Demo diagram ]