2014 | OriginalPaper | Chapter
Room Cooling Load Calculation Based on Soft Sensing
Authors : Zhanpei Li, Xinyuan Luan, Tingzhang Liu, Biyao Jin, Yingqi Zhang
Published in: Computational Intelligence, Networked Systems and Their Applications
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The calculation of real-time dynamic room cooling load can be solved effectively by soft sensing technology based on auxiliary variable. This paper studies on the relationships between room cooling loads at different reference temperatures, and presents the system equations for cooling load calculation based on soft sensing. The undetermined coefficients in the system equations were identified via the least squares method, which reflect the magnitude relationship between the non-measurable primary variables and the auxiliary variables which can be measured accurately. Finally, commentary was presented based on the comparison between the results of simulation in Dwelling Environment Simulation Tools (DeST) and results of calculation via the equations in this paper.