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- W2894266032 abstract "Recently, the energy efficiency in the building has attracted significant research attention. Many papers talk about the optimizations around the Heating Ventilation and Air-Conditioning (HVAC) system, such as sensors and model predictive control (MPC)-based thermostats in the system. However, most of them do not consider the energy usage on the drive level where the fans and pumps are powered by the Induction Machine (IM) which consumes about 50% to 75% of total energy consumption in the overall HVAC system. The various drive control strategies might render different energy savings by considering the losses in the IM (e.g., switching, current, and torque loss) in the different HVAC operating conditions (e.g., ambient temperature changes, etc This paper has analyzed the drive performance under different HVAC operating conditions, including the simulation results for the speed and torque ripples; torque loss and fan power consumption." @default.
- W2894266032 created "2018-10-05" @default.
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- W2894266032 date "2018-05-01" @default.
- W2894266032 modified "2023-09-26" @default.
- W2894266032 title "Model Predictive Control of Induction Machine for Energy Efficient HVAC Operation" @default.
- W2894266032 doi "https://doi.org/10.1109/isgt-asia.2018.8467875" @default.
- W2894266032 hasPublicationYear "2018" @default.
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