NDLI: Sense, model and identify the load signatures of HVAC systems in metro stations

Content Provider	IEEE Xplore Digital Library
Author	Yongcai Wang Haoran Feng Xiangyu Xi
Copyright Year	2014
Description	Author affiliation: Inst. for Interdiscipl. Inf. Sci. (IIIS), Tsinghua Univ., Beijing, China (Yongcai Wang) \|\| Dept. of Autom., Tsinghua Univ. Beijing, Beijing, China (Xiangyu Xi) \|\| Nat. Eng. Res. Center of Software Eng., Peking Univ., Beijing, China (Haoran Feng)
Abstract	The Heating Ventilation and Air Conditioning (HVAC) systems in subway stations are energy consuming giants, each of which may consume over 10, 000 Kilowatts per day for cooling and ventilation. To save energy for the HVAC systems, it is critically important to firstly know the “load signatures” of the HVAC system, i.e., the quantity of heat imported from the outdoor environments and by the passengers respectively as a function of time, which will significantly benefit the control policies. In this paper, we present a novel sensing and learning approach to identify the load signature of the HVAC system in the subway stations. In particular, sensors and smart meters were deployed to monitor the indoor, outdoor temperatures, and the energy consumptions of the HVAC system in real-time. The number of passengers was counted by the ticket checking system. At the same time, the cooling supply provided by the HVAC system was inferred via the energy consumption logs of the HVAC system. Since the indoor temperature variations are driven by the difference of the loads and the cooling supply, linear regression model was proposed for the load signature, whose coefficients are derived via a proposed algorithm. We collected real sensing data and energy log data from HaiDianHuangZhuang Subway station from the duration of July. 2012 to Sept. 2012. The data was used to evaluate the coefficients of the regression model. The experiment validated the presented load signature, which may provide important contexts for smart control policies.
Starting Page	1
Ending Page	5
File Size	961893
Page Count	5
File Format	PDF
ISBN	9781479964154
DOI	10.1109/PESGM.2014.6939314
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Temperature measurement Load modeling Cooling Heating Refrigerators
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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