Anomaly Detection in the HVAC System Operation by a RadViz Based Visualization-Driven Approach

Author(s):  
Evgenia Novikova ◽  
Mikhail Bestuzhev ◽  
Igor Kotenko
2018 ◽  
Vol 144 ◽  
pp. 365-385 ◽  
Author(s):  
Wenzhuo Li ◽  
Choongwan Koo ◽  
Seung Hyun Cha ◽  
Taehoon Hong ◽  
Jeongyoon Oh

2019 ◽  
Vol 157 ◽  
pp. 165-171 ◽  
Author(s):  
Emil Kjøller Alexandersen ◽  
Mathis Riber Skydt ◽  
Sebastian Skals Engelsgaard ◽  
Mads Bang ◽  
Muhyiddine Jradi ◽  
...  

2019 ◽  
Vol 116 ◽  
pp. 00082
Author(s):  
Magdalena Stanescu ◽  
Stanislaw Kajl ◽  
Louis Lamarche

This paper presents the monitoring results for the HVAC systems installed in a university building, which prove that oversizing is a real problem with existing systems. In our study, how the zones served by systems are grouped is a major cause of oversizing. This is particularly obvious when monitoring the systems serving the zones on a single facade; monitoring those in zones situated on two facades shows that additional reasons must also be considered as well. The monitoring presented in the paper is carried out on four systems, two serving zones on a single facade and two others serving zones located on two facades. Following the processing of the ensuing data, the results obtained show that the systems mostly function at between 55 and 65% of their design capacity. An analysis of these results indicates that a better design approach could reduce the total airflow rate of HVAC systems, reduce building energy consumption, and promote better systems operation.


2009 ◽  
Vol 5 (1/2) ◽  
pp. 175
Author(s):  
M. Satya Prasad ◽  
Simon Watkins ◽  
Xu Wang ◽  
Simon St. Hill ◽  
David Weymouth

1998 ◽  
Vol 120 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Mingsheng Liu ◽  
D. E. Claridge

A calibrated simplified engineering modeling method has been developed to optimize HVAC system operation. This method can be used to optimize operating strategies and control schedules. It has also served to identify malfunctioning components on occasion. This method has been successfully applied to 18 LoanSTAR buildings where over $2.0 million per year in potential savings have been identified, and over $1.4 million per year have been implemented. The method is described in the context of a case study.


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