Low-computational adaptive MPC algorithmization strategy for over and undershoots instantaneous water heaters stability
Low-computational adaptive MPC algorithmization strategy for over and undershoots instantaneous water heaters stability
Tankless gas Hot Water users' comforting perception is severely affected by sudden changes in temperature apart from the desired temperature. The instability of the water temperature with overshoots and undershoots is the most common disadvantage that appears mainly because of the sudden changes in the water flow demanded by users and the response delays inherent to the heating system. Classical controllers for heat cells have difficulties in responding to temperature instability in a timely manner because they do not have the capacity to anticipate the effects of sudden variations in water flow rate. The model predictive control with adaptive function strategy reported the best response in the stabilization of temperature in previous work. Its performance is a result of the predictive nature that allows anticipating and correcting the negative influences of sudden variations in the flow rate in the temperature. The present study aims to employ this strategy a low-computational algorithm that can be embedded in low-cost hardware with the limitation of computational and memory resources. The study’s motivation is to meet the opening of manufacturers by implementing low-cost and optimal-performance microcontrollers for water heaters. The algorithm predictions are showing good agreement responses in temperature stabilization.
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