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Design and Implementation a Smart Energy Saving System using an Arduino and RF Module

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Abdulmuttalib T. Rashid, Osama T. Rashid
10.5120/ijca2018918166

Abdulmuttalib T Rashid and Osama T Rashid. Design and Implementation a Smart Energy Saving System using an Arduino and RF Module. International Journal of Computer Applications 182(26):36-44, November 2018. BibTeX

@article{10.5120/ijca2018918166,
	author = {Abdulmuttalib T. Rashid and Osama T. Rashid},
	title = {Design and Implementation a Smart Energy Saving System using an Arduino and RF Module},
	journal = {International Journal of Computer Applications},
	issue_date = {November 2018},
	volume = {182},
	number = {26},
	month = {Nov},
	year = {2018},
	issn = {0975-8887},
	pages = {36-44},
	numpages = {9},
	url = {http://www.ijcaonline.org/archives/volume182/number26/30143-2018918166},
	doi = {10.5120/ijca2018918166},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The demand for electrical energy is steadily increasing, and the buildings sector represents one of the largest energy end use. The larger amounts of that energy are wasted due to unnecessary heating and cooling. Several studies have shown that the major reason for this behavior lies in poor controls and the lack of feedback information. In this paper, a new management system is designed and constructed in order to perform saving the electrical energy. This system consist of an Arduino microcontroller with various sensors such as a temperature sensors, simple RF modules as well as actuators to control the air conditions. The principal work of this system is based on measure the temperatures of several rooms in the smart home, and then send these information wirelessly to main control device which employing better controls and feedback information to turns on only one air condition in one room at each time to save the electrical energy. The simple measurement shows that using the suggested system can save the electricity cost for every test case.

References

  1. F. K. Handhal and A. T. Rashid, ” A prototype Design for Three Phase Smart Energy Meter“, Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications, 2017.
  2. F. K. Handhal and A. T. Rashid, “Design and building a single-phase smart energy meter using Arduino and RF communication system “, Proc. of the 3rd Int. Sci. Conf., (14-15/march/2018).
  3. A. T. Rashid and M. T. Rashid,” Design and Implementation of Load Balancing System for a Smart Home“, Proc. of the 3rd Int. Sci. Conf., (14-15/march/2018).
  4. F. K. Handhal and A. T. Rashid,, ” Load Balancing in Distribution System Using Heuristic Search Algorithm “ , International Conference on Advances in Sustainable Engineering and Applications (ICASEA), Wasit University, Kut, Iraq, pp. 48-53, 2018.
  5. A. T. Rashid, F. K. Handhal and O. T. Rashid,” Wireless Control system for Three Phase Loads Balancing in Distribution Networks “, International Journal of Computer Applications (0975 – 8887) Vol. 182 – No. 7, pp. 38-46, 2018.
  6. R. Panna, R. Thesrumluk and C. Chantrapornchai, “ Development of Energy Saving Smart Home Prototype”, International Journal of Smart Home, Vol. 7, No. 1, pp. 47-66, 2013.
  7. G. Gao and K. Whitehouse,” The Self-Programming Thermostat: Optimizing Setback Schedules based on Home Occupancy Patterns”, In Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. Berkeley, California: ACM Press, pp. 62–77, 2009.
  8. S. Lee,” Occupancy prediction algorithms for thermostat control systems using mobile devices”, In IEEE Transactions on Smart Grid, pp. 1332–1340, 2013.
  9. V. L. Erickson, M. A. Carreira-Perpiñán and A. E. “OBSERVE: Occupancy-Based System for Efficient Reduction of HVAC Energy. In Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on. IEEE, 2011.
  10. M. Gupta, S. Intille and K. Larson, “Adding GPS-control to traditional thermostats: An exploration of potential energy savings and design challenges”, In Pervasive Computing. Springer Berlin Heidelberg, pp. 95–114, 2009.
  11. W. Kleiminger, F. Mattern and S. Santini,”Predicting household occupancy for smart heating control: A comparative performance analysis of state-of-the-art approaches”, Energy and Buildings, Vol. 85, pp.493–505, 2014
  12. .

Keywords

Smart home; Temperature sensor; RF module; actutars.