2015/03/16 by Jianli Pan, Raj Jain, Subharthi Paul +3 · 316 citations
Computer Science · Engineering · #Building Energy and Comfort Optimization #Building automation #Building management system #Cyber-physical system #Efficient energy use #Energy (signal processing) #Green computing #Internet of Things #Smart Cities and Technologies #Smart Grid Energy Management #Smart city #Testbed #The Internet #cs.CY #cs.NI
paper · pdf · doi:10.1109/jiot.2015.2413397
published in IEEE Internet of Things Journal 2(6), 527-537 (Institute of Electrical and Electronics Engineers)
openalex publication_date 2015/03/16 · arxiv created 2016/03/25 · openalex created_date 2016/06/24 · arxiv updated 2016/11/15 · openalex updated_date 2026/08/05
Smart energy in buildings is an important research area of Internet of Things (IoT). As important parts of the smart grids, the energy efficiency of buildings is vital for the environment and global sustainability. Using a LEED-gold-certificated green office building, we built a unique IoT experimental testbed for our energy efficiency and building intelligence research. We first monitor and collect 1-year-long building energy usage data and then systematically evaluate and analyze them. The results show that due to the centralized and static building controls, the actual running of green buildings may not be energy efficient even though they may be “green” by design. Inspired by “energy proportional computing” in modern computers, we propose an IoT framework with smart location-based automated and networked energy control, which uses smartphone platform and cloud-computing technologies to enable multiscale energy proportionality including building-, user-, and organizational-level energy proportionality. We further build a proof-of-concept IoT network and control system prototype and carried out real-world experiments, which demonstrate the effectiveness of the proposed solution. We envision that the broad application of the proposed solution has not only led to significant economic benefits in term of energy saving, improving home/office network intelligence, but also bought in a huge social implication in terms of global sustainability.