Development of a virtual fan airflow meter for electronically commutated motor fan systems

References

• Ahmad, M. W., M. Mourshed, D. Mundow, M. Sisinni, and Y. Rezgui. 2016. Building energy metering and environmental monitoring–A state-of-the-art review and directions for future research. Energy and Buildings 120:85–102. doi:10.1016/j.enbuild.2016.03.059
   Web of Science ®Google Scholar
• Amca, B. 2007. 210-laboratory methods of testing fans for aerodynamic performance rating. Arlington Heights, IL: Air Movement and Control Association International, Inc.
   Google Scholar
• Doe, U. S. 2011. Buildings energy data book. Washington, DC: Energy Efficiency and Renewable Energy Department.
   Google Scholar
• Figliola, R. S., and D. E. Beasley. 2001. Theory and design for mechanical measurements. New York: John Wiley & Sons.
   Google Scholar
• Fugate, D., P. Fuhr, and T. Kuruganti. 2011. Instrumentation systems for commercial building energy efficiency. 2011 Future of Instrumentation International Workshop (FIIW) Proceedings, Oak Ridge, TN: IEEE. doi:10.1109/FIIW.2011.6476826
   Google Scholar
• Hauer, A. 2001. EC systems as fan drives. ASHRAE, 43:28–30.
   Web of Science ®Google Scholar
• ISO. 2017. ISO 5801:2017 Fans - Performance testing using standardized airways. Geneva, Switzerland, International Organization for Standardization.
   Google Scholar
• Jing, G., W. Cai, X. Zhang, C. Cui, X. Yin, and H. Xian. 2019. Modeling, air balancing and optimal pressure set-point selection for the ventilation system with minimized energy consumption. Applied Energy 236:574–89. doi:10.1016/j.apenergy.2018.12.026
   Web of Science ®Google Scholar
• Kenty, K. L. 2007. Use of electronically commutated motors (ECMs) in air terminal units. ASHRAE Transactions 113 (1):334–341.
   Google Scholar
• Lelkes, A. 2002. Electronically commutated motors for fan applications. Proceedings of the International Intelligent Motion Conference, Nuremberg, Germany.
   Google Scholar
• Li, X., T. Zhao, J. Zhang, and T. Chen. 2017. Predication control for indoor temperature time-delay using Elman neural network in variable air volume system. Energy and Buildings 154:545–52. doi:10.1016/j.enbuild.2017.09.005
   Web of Science ®Google Scholar
• Liu, G. 2006. Development and applications of fan airflow station and pump water flow station in heating, ventilating and air-conditioning (HVAC) systems.PhD dissertation, University of Nebraska–Lincoln, Lincoln, NE.
   Google Scholar
• Liu, M. 2003. Variable Speed Drive Volumetric tracking for airflow control in variable air volume systems. Journal of Solar Energy Engineering 125 (3):318–23. doi:10.1115/1.1559168
   Web of Science ®Google Scholar
• Song, L., G. Wang, and M. R. Brambley. 2013. Uncertainty analysis for a virtual flow meter using an air-handling unit chilled water valve. HVAC&R Research 19 (3):335–45.
   Web of Science ®Google Scholar
• Taylor, S. T. 2018. Designing Mega-AHUs. ASHRAE Journal 60 (4):50–9.
   Web of Science ®Google Scholar
• Tukur, A., and K. P. Hallinan. 2017. Statistically informed static pressure control in multiple-zone VAV systems. Energy and Buildings 135:244–52. doi:10.1016/j.enbuild.2016.11.032
   Web of Science ®Google Scholar
• Waide, P., and C. U. Brunner. 2011. Energy-efficiency policy opportunities for electric motor-driven systems. Paris, France: International Energy Agency.
   Google Scholar
• Wang, G., K. Kiamehr, and L. Song. 2016. Development of a virtual pump water flow meter with a flow rate function of motor power and pump head. Energy and Buildings 117:63–70. doi:10.1016/j.enbuild.2016.02.003
   Web of Science ®Google Scholar
• Wang, G., Z. Wang, and L. Song. 2019. Uncertainty Analysis for Different Virtual Pump Water Flow Meters. Science and Technology for the Built Environment, 25(3): 297–308.
   Web of Science ®Google Scholar
• Wang, H. 2014. Water flow rate models based on the pipe resistance and pressure difference in multiple parallel chiller systems. Energy and Buildings 75:181–8. doi:10.1016/j.enbuild.2014.02.017
   Web of Science ®Google Scholar
• Wang, Z., Z. Han, L. Ding, and G. Wang. 2020. Development of an efficiency model for electronically commutated motor fan systems in air handling units. Science and Technology for the Built Environment, 1–15.
   Web of Science ®Google Scholar
• Yu, D., H. Li, and M. Yang. 2011. A virtual supply airflow rate meter for rooftop air-conditioning units. Building and Environment 46 (6):1292–302. doi:10.1016/j.buildenv.2010.12.017
   Web of Science ®Google Scholar
• Zhao, X., M. Yang, and H. Li. 2012. Development, evaluation, and validation of a robust virtual sensing method for determining water flow rate in chillers. HVAC&R Research 18 (5):874–89.
   Web of Science ®Google Scholar
• Zhou, X., N. Harberl, and H. Cheng. 2017. Demonstration of energy savings in commercial buildings for tiered Trim and respond method in resetting static pressure for VAV systems. Iowa, IA: Iowa Energy Center.
   Google Scholar
• Zmeureanu, R., and H. Vandenbroucke. 2015. Use of trend data from BEMS for the ongoing commissioning of HVAC systems. Energy Procedia 78:2415–20. doi:10.1016/j.egypro.2015.11.207
   Google Scholar