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Intelligent Water Heater Demand Controller For Consumer Satisfaction And Energy Conservation

Ravi Babu Pallikonda*, Sree Divya Vadlapudi Prasanna**

* Professor & HOD, EEE Department, Global Academy of Technology, Affiliated to Visvesvaraiah Technological University, Karnataka, India

** Senior Engineer, Krishna Infotech, Venkata krupa, 1-3, Snehapuri, Nacharam Raod, Hyderabad, Telangana . India

Periodicity:September - November'2014
DOI : https://doi.org/10.26634/jcir.2.4.3221

Abstract

Work presented in this paper is fuzzy logic based Water Heater Demand Controller considering the consumer preferences and desires. A fuzzy controlled intelligent system is proposed, which conserves the electrical energy in case of water heating solutions. In modern days, consumers demand more pricing and usage operations making load management programs increasingly prevalent. A methodology is proposed to reduce the usage of the electrical energy based on needs and comfort. Thereby, the demand on the power system can be reduced during peak hours with the help of load management programs. The most popular load management program is End-Use Equipment Control. It is also called as Direct Load Control. DLC is used to shape the load curve by cycling consumer's large current drawing appliance, like water heaters. This paper presents the application of DSM techniques to Water Heater Demand Controller to limit the power consumption based on consumer choice and satisfaction. Results presented are to show the effectiveness of the proposed intelligent water heater demand controller to minimize the energy consumption, reduce the energy bill and satisfy consumer needs based on environmental conditions/seasons.

Keywords

Electric Water Heater, Fuzzy Logic Control, Water Heater Demand Controller (WHDC), Demand Side Management (DSM), End Use Equipment Control (EUEC), Direct Load Control (DLC), Differential Tariff (DT).

How to Cite this Article?

Pallikonda, R. B., and Prasanna, S. D. V. (2014). Intelligent Water Heater Demand Controller For Consumer Satisfaction And Energy Conservation. i-manager’s Journal on Circuits and Systems, 2(4), 21-28. https://doi.org/10.26634/jcir.2.4.3221

References

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[7]. P. Ravi Babu, V.P. Sree Divya, P.Srikanth et al., (2007). “Fuzzy Logic and Differential Tariff technique applied to Water Heater for peak reductions”, Proc. IEEE 5th International Conference – Workshop, Compatibility in Power Electronics, Gdansk, Poland, pp.1-4

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