Abstract:
It is well-known that the HVAC (heating, ventilation, and air conditioning) dominates electricity consumption in commercial buildings. In this paper, we focus on one of t...Show MoreMetadata
Abstract:
It is well-known that the HVAC (heating, ventilation, and air conditioning) dominates electricity consumption in commercial buildings. In this paper, we focus on one of the core problems in building operation, namely chiller sequencing to reduce HVAC electricity consumption. Our contributions are threefold. First, we make a case for why it is important to quantify the performance profile of a chiller, namely coefficient of performance (COP), at run-time, by developing a data-driven COP estimation methodology. Second, we show that predicting COP accurately is a non trivial problem, requiring considerable computation time. To overcome this barrier, we develop a data-driven COP prediction model and an edge-based chiller sequencing framework integrating the COP predictions, and show that they strike a good balance between electricity saving and ease of use for real-world deployment. Finally, we evaluate the performance of our scheme by applying it to real-world data, spanning four years, obtained from multiple chillers across three large commercial buildings in Hong Kong. The results show an electricity saving of over 30 percent compared to baselines. We offer our edge based data-driven chiller sequencing framework as a cost-effective and practical mechanism to reduce electricity consumption associated with HVAC operation in commercial buildings.
Published in: IEEE Transactions on Sustainable Computing ( Volume: 7, Issue: 3, 01 July-Sept. 2022)
Funding Agency:
Hong Kong Polytechnic University, Kowloon, Hong Kong
Technical Innovation Department, Cloud BU, Huawei Technologies Co. Ltd, Shenzhen, China
Zimu Zheng received the BEng degree from the South China University of Technology and the PhD degree from the Hong Kong Polytechnic University. He is currently a research staff at Huawei. His research interest lies in applied machine learning with IoT Data. He has received awards for outstanding technical contributions at Huawei. He also received the Best Paper Award of ACM International Conference on Future Energy System...Show More
Zimu Zheng received the BEng degree from the South China University of Technology and the PhD degree from the Hong Kong Polytechnic University. He is currently a research staff at Huawei. His research interest lies in applied machine learning with IoT Data. He has received awards for outstanding technical contributions at Huawei. He also received the Best Paper Award of ACM International Conference on Future Energy System...View more
Huazhong University of Science and Technology, Wuhan Shi, Hubei Sheng, China
Qiong Chen received the BEng degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. He is currently working toward the MEng degree in the School of Computer Science and Technology, Huazhong University of Science and Technology. His research interests include applied machine learning and edge computing. He received the Best Paper Award of ACM International Co...Show More
Qiong Chen received the BEng degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. He is currently working toward the MEng degree in the School of Computer Science and Technology, Huazhong University of Science and Technology. His research interests include applied machine learning and edge computing. He received the Best Paper Award of ACM International Co...View more
Shenzhen University, Shenzhen Shi, Guangdong Sheng, China
Cheng Fan received the BEng and PhD degrees from the Hong Kong Polytechnic University, Hong Kong, China, in 2011 and 2016, respectively. He is currently an assistant professor with the College of Civil Engineering, Shenzhen University, Shenzhen, China. His research expertise includes building energy management, HVAC system controls and optimizations, and big data analytics.
Cheng Fan received the BEng and PhD degrees from the Hong Kong Polytechnic University, Hong Kong, China, in 2011 and 2016, respectively. He is currently an assistant professor with the College of Civil Engineering, Shenzhen University, Shenzhen, China. His research expertise includes building energy management, HVAC system controls and optimizations, and big data analytics.View more
Hong Kong Polytechnic University, Kowloon, Hong Kong
Nan Guan received the BE and MS degrees from Northeastern University, China, in 2003 and 2006, respectively, and the PhD degree from Uppsala University, Sweden, in 2013. He is currently an assistant professor with the Department of Computing, Hong Kong Polytechnic University. Before joining PolyU in 2015, he worked as a faculty member with Northeastern University, China. His research interests include real-time embedded s...Show More
Nan Guan received the BE and MS degrees from Northeastern University, China, in 2003 and 2006, respectively, and the PhD degree from Uppsala University, Sweden, in 2013. He is currently an assistant professor with the Department of Computing, Hong Kong Polytechnic University. Before joining PolyU in 2015, he worked as a faculty member with Northeastern University, China. His research interests include real-time embedded s...View more
IBM Research Australia, Southbank, VIC, Australia
Arun Vishwanath (M’11-SM’15) received the PhD degree in electrical engineering from the University of New South Wales, Sydney, Australia, in 2011, and was a visiting PhD scholar with the Department of Computer Science, North Carolina State University, in 2008. He is a lead research scientist with IBM Research in Melbourne, Australia, working in the area of IoT for energy optimization in smart buildings. His research inter...Show More
Arun Vishwanath (M’11-SM’15) received the PhD degree in electrical engineering from the University of New South Wales, Sydney, Australia, in 2011, and was a visiting PhD scholar with the Department of Computer Science, North Carolina State University, in 2008. He is a lead research scientist with IBM Research in Melbourne, Australia, working in the area of IoT for energy optimization in smart buildings. His research inter...View more
Hong Kong Polytechnic University, Kowloon, Hong Kong
Dan Wang (S’05-M’07-SM’13) received the BSc degree from Peking University, Beijing, China, in 2000, the MSc degree from Case Western Reserve University, Cleveland, Ohio, in 2004, and the PhD degree from Simon Fraser University, Burnaby, British Columbia, Canada, in 2007, all in computer science. He is currently an associate professor with the Department of Computing, Hong Kong Polytechnic University. His research interest...Show More
Dan Wang (S’05-M’07-SM’13) received the BSc degree from Peking University, Beijing, China, in 2000, the MSc degree from Case Western Reserve University, Cleveland, Ohio, in 2004, and the PhD degree from Simon Fraser University, Burnaby, British Columbia, Canada, in 2007, all in computer science. He is currently an associate professor with the Department of Computing, Hong Kong Polytechnic University. His research interest...View more
Huazhong University of Science and Technology, Wuhan Shi, Hubei Sheng, China
Fangming Liu (S’08-M’11-SM’16) received the BEng degree from the Tsinghua University, Beijing, and the PhD degree from the Hong Kong University of Science and Technology, Hong Kong. He is currently a full professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He receive...Show More
Fangming Liu (S’08-M’11-SM’16) received the BEng degree from the Tsinghua University, Beijing, and the PhD degree from the Hong Kong University of Science and Technology, Hong Kong. He is currently a full professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He receive...View more
Contents Hong Kong Polytechnic University, Kowloon, Hong Kong
Technical Innovation Department, Cloud BU, Huawei Technologies Co. Ltd, Shenzhen, China
Zimu Zheng received the BEng degree from the South China University of Technology and the PhD degree from the Hong Kong Polytechnic University. He is currently a research staff at Huawei. His research interest lies in applied machine learning with IoT Data. He has received awards for outstanding technical contributions at Huawei. He also received the Best Paper Award of ACM International Conference on Future Energy Systems (ACM e-Energy) and the Best Paper Award of ACM International Conference on Systems for Energy-Efficient Built Environments (ACM BuildSys) in 2018.
Zimu Zheng received the BEng degree from the South China University of Technology and the PhD degree from the Hong Kong Polytechnic University. He is currently a research staff at Huawei. His research interest lies in applied machine learning with IoT Data. He has received awards for outstanding technical contributions at Huawei. He also received the Best Paper Award of ACM International Conference on Future Energy Systems (ACM e-Energy) and the Best Paper Award of ACM International Conference on Systems for Energy-Efficient Built Environments (ACM BuildSys) in 2018.View more
Huazhong University of Science and Technology, Wuhan Shi, Hubei Sheng, China
Qiong Chen received the BEng degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. He is currently working toward the MEng degree in the School of Computer Science and Technology, Huazhong University of Science and Technology. His research interests include applied machine learning and edge computing. He received the Best Paper Award of ACM International Conference on Future Energy Systems (ACM e-Energy) in 2018.
Qiong Chen received the BEng degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. He is currently working toward the MEng degree in the School of Computer Science and Technology, Huazhong University of Science and Technology. His research interests include applied machine learning and edge computing. He received the Best Paper Award of ACM International Conference on Future Energy Systems (ACM e-Energy) in 2018.View more
Shenzhen University, Shenzhen Shi, Guangdong Sheng, China
Cheng Fan received the BEng and PhD degrees from the Hong Kong Polytechnic University, Hong Kong, China, in 2011 and 2016, respectively. He is currently an assistant professor with the College of Civil Engineering, Shenzhen University, Shenzhen, China. His research expertise includes building energy management, HVAC system controls and optimizations, and big data analytics.
Cheng Fan received the BEng and PhD degrees from the Hong Kong Polytechnic University, Hong Kong, China, in 2011 and 2016, respectively. He is currently an assistant professor with the College of Civil Engineering, Shenzhen University, Shenzhen, China. His research expertise includes building energy management, HVAC system controls and optimizations, and big data analytics.View more
Hong Kong Polytechnic University, Kowloon, Hong Kong
Nan Guan received the BE and MS degrees from Northeastern University, China, in 2003 and 2006, respectively, and the PhD degree from Uppsala University, Sweden, in 2013. He is currently an assistant professor with the Department of Computing, Hong Kong Polytechnic University. Before joining PolyU in 2015, he worked as a faculty member with Northeastern University, China. His research interests include real-time embedded systems and cyber-physical systems. He received the EDAA Outstanding Dissertation Award in 2014, the Best Paper Award of the IEEE Real Time Systems Symposium (RTSS) in 2009, the Best Paper Award of the Conference on Design Automation and Test in Europe (DATE) in 2013, and the Best Paper Award of ACM International Conference on Future Energy Systems (ACM e-Energy) in 2018.
Nan Guan received the BE and MS degrees from Northeastern University, China, in 2003 and 2006, respectively, and the PhD degree from Uppsala University, Sweden, in 2013. He is currently an assistant professor with the Department of Computing, Hong Kong Polytechnic University. Before joining PolyU in 2015, he worked as a faculty member with Northeastern University, China. His research interests include real-time embedded systems and cyber-physical systems. He received the EDAA Outstanding Dissertation Award in 2014, the Best Paper Award of the IEEE Real Time Systems Symposium (RTSS) in 2009, the Best Paper Award of the Conference on Design Automation and Test in Europe (DATE) in 2013, and the Best Paper Award of ACM International Conference on Future Energy Systems (ACM e-Energy) in 2018.View more
IBM Research Australia, Southbank, VIC, Australia
Arun Vishwanath (M’11-SM’15) received the PhD degree in electrical engineering from the University of New South Wales, Sydney, Australia, in 2011, and was a visiting PhD scholar with the Department of Computer Science, North Carolina State University, in 2008. He is a lead research scientist with IBM Research in Melbourne, Australia, working in the area of IoT for energy optimization in smart buildings. His research interests span the areas of IoT applications, cybersecurity, and software defined networking. He has received several awards from IBM for outstanding technical accomplishments. He is the recipient of the Best Paper Award at the ACM e-Energy 2018 conference, is an appointed distinguished speaker of the ACM, and is a senior member of the IEEE.
Arun Vishwanath (M’11-SM’15) received the PhD degree in electrical engineering from the University of New South Wales, Sydney, Australia, in 2011, and was a visiting PhD scholar with the Department of Computer Science, North Carolina State University, in 2008. He is a lead research scientist with IBM Research in Melbourne, Australia, working in the area of IoT for energy optimization in smart buildings. His research interests span the areas of IoT applications, cybersecurity, and software defined networking. He has received several awards from IBM for outstanding technical accomplishments. He is the recipient of the Best Paper Award at the ACM e-Energy 2018 conference, is an appointed distinguished speaker of the ACM, and is a senior member of the IEEE.View more
Hong Kong Polytechnic University, Kowloon, Hong Kong
Dan Wang (S’05-M’07-SM’13) received the BSc degree from Peking University, Beijing, China, in 2000, the MSc degree from Case Western Reserve University, Cleveland, Ohio, in 2004, and the PhD degree from Simon Fraser University, Burnaby, British Columbia, Canada, in 2007, all in computer science. He is currently an associate professor with the Department of Computing, Hong Kong Polytechnic University. His research interests include network architecture and QoS, smart buildings, and Industry 4.0. He is a senior member of the IEEE.
Dan Wang (S’05-M’07-SM’13) received the BSc degree from Peking University, Beijing, China, in 2000, the MSc degree from Case Western Reserve University, Cleveland, Ohio, in 2004, and the PhD degree from Simon Fraser University, Burnaby, British Columbia, Canada, in 2007, all in computer science. He is currently an associate professor with the Department of Computing, Hong Kong Polytechnic University. His research interests include network architecture and QoS, smart buildings, and Industry 4.0. He is a senior member of the IEEE.View more
Huazhong University of Science and Technology, Wuhan Shi, Hubei Sheng, China
Fangming Liu (S’08-M’11-SM’16) received the BEng degree from the Tsinghua University, Beijing, and the PhD degree from the Hong Kong University of Science and Technology, Hong Kong. He is currently a full professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He received the National Natural Science Fund (NSFC) for Excellent Young Scholars, and the National Program Special Support for Top-Notch Young Professionals. He is a recipient of the Best Paper Award of IEEE/ACM IWQoS 2019, ACM e-Energy 2018, and IEEE GLOBECOM 2011, as well as the First Class Prize of Natural Science of Ministry of Education in China. He is a senior member of the IEEE.
Fangming Liu (S’08-M’11-SM’16) received the BEng degree from the Tsinghua University, Beijing, and the PhD degree from the Hong Kong University of Science and Technology, Hong Kong. He is currently a full professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He received the National Natural Science Fund (NSFC) for Excellent Young Scholars, and the National Program Special Support for Top-Notch Young Professionals. He is a recipient of the Best Paper Award of IEEE/ACM IWQoS 2019, ACM e-Energy 2018, and IEEE GLOBECOM 2011, as well as the First Class Prize of Natural Science of Ministry of Education in China. He is a senior member of the IEEE.View more
