Discomfort Monitoring System for Residential Electrical Water Heater

@article{Almajali2021DiscomfortMS,
  title={Discomfort Monitoring System for Residential Electrical Water Heater},
  author={Ziyad S. Almajali},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.03751}
}
  • Z. Almajali
  • Published 7 October 2021
  • Computer Science, Engineering
  • ArXiv
An approach is described in this work for detecting discomfort moments during electrical water heater daily usage. The approach employs chromatic analyzing sensors signals of electrical water heater systems for producing distinguishable mapping to characterize and identify selected discomfort moments. The preliminary results obtained indicate that it is possible to distinguish such events in a non-intrusive approach. Hot water comfort detection and classification intelligently through human… 
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References

SHOWING 1-10 OF 16 REFERENCES
Residential Electrical Water Heater Energy Efficiency Monitoring system
  • Z. Almajali
  • 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
  • 2021
Electrical water heater is the most used method in domestic sector for getting daily requirement of hot water, yet it is the main reason for the huge utility bills of this sector. Homeowners receive…
Optimal water heater control in smart home environments
TLDR
This work proposes to employ a dynamic programming approach to optimize heating schedules using forecasted consumption and weather data to increase the eigen consumption of photovoltaic energy in the house.
Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography
Abstract Understanding occupants’ thermal sensation and comfort is essential to defining the operational settings for Heating, Ventilation and Air Conditioning (HVAC) systems in buildings. Due to the…
Heart rate variability as a predictive biomarker of thermal comfort
TLDR
The result of this study suggests that it could be possible to design automatic real-time thermal comfort controllers based on people’s HRV, and is observed that HRV is distinctively different depending on the thermal environment and that it is possible to reliably predict each subject's thermal state with up to a 93.7% accuracy.
Comparison of four rule-based demand response control algorithms in an electrically and heat pump-heated residential building
Abstract This study aims to investigate the effect of demand response (DR) actions on energy consumption and energy cost with two alternative heat generation systems in a detached house in a cold…
A customer-interactive electric water heater demand-side management strategy using fuzzy logic
This paper describes a fuzzy logic-based demand-side management (DSM) strategy to shift the peaks of the average residential electric water heater power demand profile from periods of high demand for…
A centralized fuzzy controller for aggregated control of domestic water heaters
TLDR
This paper proposes a novel centralized fuzzy controller for peak shaving of the power demand profiles of domesticwater heaters and shows that the proposed centralized control strategy is effective in shaving the aggregated DWHs load demands while filling valleys of the aggregate load profile.
Multi-objective optimization for reducing the auxiliary electric energy peak in low cost solar domestic hot-water heating systems in Brazil
Abstract Domestic water heating in Brazil is commonly done by electric showerheads, characterized by a large installed capacity and a low load factor. In that regard, consumers and utility companies…
Domestic Water Heating and Water Heater Energy Consumption in Canada
A Robust Optimization Strategy for Domestic Electric Water Heater Load Scheduling under Uncertainties
In this paper, a robust optimization strategy is developed to handle the uncertainties for domestic electric water heater load scheduling. At first, the uncertain parameters, including hot water…
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