Abstract
The rapid maturity of everyday sensor technologies has had a significant impact on our ability to collect information from the physical world. There are tremendous opportunities in using sensor technologies (both wired and wireless) for building operation, monitoring and control. The key promise of sensor technology in building operation is to reduce the cost of installing data acquisition and control systems (typically 40% of the cost of controls technology in a heating, ventilation, and air conditioning (HVAC) system). Reducing or eliminating this cost component has a dramatic effect on the overall installed system cost. With low-cost sensor and control systems, not only will the cost of system installation be significantly reduced, but it will become economical to use more sensors, thereby establishing highly energy efficient building operations and demand responsiveness that will enhance our electric grid reliability.
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References
Korkas, C.D., Baldi, S., Michailidis, I., Kosmatopoulos, E.B.: Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage. Appl. Energy 163, 93–104 (2016)
Wang, L., Wang, Z., Yang, R.: Intelligent multiagent control system for energy and comfort management in smart and sustainable buildings. IEEE Trans. Smart Grid 3(2), 605–617 (2012)
Michailidis, I.T., Korkas, C., Kosmatopoulos, E.B., Nassie, E.: Automated control calibration exploiting exogenous environment energy: an Israeli commercial building case study. Energy Build. 128, 473–483 (2016). https://doi.org/10.1016/j.enbuild.2016.06.035. ISSN 0378-7788
Michailidis, I.T., Baldi, S., Pichler, M.F., Kosmatopoulos, E.B., Santiago, J.R.: Proactive control for solar energy exploitation: a german high-inertia building case study. Appl. Energy 155, 409–420 (2015). https://doi.org/10.1016/j.apenergy.2015.06.033. ISSN 0306-2619
Conklin, J.A., Hammond, S.R.: U.S. Patent No. 9,772,260. Washington, DC, U.S. Patent and Trademark Office (2017)
Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., Weng, T.: Occupancy-driven energy management for smart building automation. In: Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, pp. 1–6. ACM, November 2010
Acknowledgements
This work was partially supported by the “Plug-N-Harvest - Plug-n-play passive and active multi-modal energy Harvesting systems, circular economy by design, with high replicability for Self-sufficient Districts & Near-Zero Buildings” project funded by the EU H2020 Programme, grant agreement no. 768735.
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Terzopoulos, M., Korkas, C., Michailidis, I.T., Kosmatopoulos, E. (2019). Overview of Legacy AC Automation for Energy-Efficient Thermal Comfort Preservation. In: Tzovaras, D., Giakoumis, D., Vincze, M., Argyros, A. (eds) Computer Vision Systems. ICVS 2019. Lecture Notes in Computer Science(), vol 11754. Springer, Cham. https://doi.org/10.1007/978-3-030-34995-0_59
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