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Energies 2017, 10(1), 64; doi:10.3390/en10010064

Power Consumption Analysis of Electrical Installations at Healthcare Facility

1
Facultad de Ingenieria, CA Mecatrónica, Universidad Autónoma de Querétaro (UAQ), Rio Moctezuma 249, 76807 San Juan del Rio, Mexico
2
Department of Electrical Engineering, Universidad de Valladolid (UVa), c/Paseo del Cauce 59, 47011 Valladolid, Spain
3
Departamento de Ingenieria Electronica, DICIS, Universidad de Guanajuato (UG), Carretera Salamanca-Valle de Santiago, 36865 Salamanca, Mexico
*
Author to whom correspondence should be addressed.
Academic Editor: K.T. Chau
Received: 22 November 2016 / Revised: 21 December 2016 / Accepted: 31 December 2016 / Published: 6 January 2017
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Abstract

This paper presents a methodology for power consumption estimation considering harmonic and interharmonic content and then it is compared to the power consumption estimation commonly done by commercial equipment based on the fundamental frequency, and how they can underestimate the power consumption considering power quality disturbances (PQD). For this purpose, data of electrical activity at the electrical distribution boards in a healthcare facility is acquired for a long time period with proprietary equipment. An analysis in the acquired current and voltage signals is done, in order to compare the power consumption centered in the fundamental frequency with the generalized definition of power consumption. The results obtained from the comparison in the power consumption estimation show differences between 4% and 10% of underestimated power consumption. Thus, it is demonstrated that the presence of harmonic and interharmonic content provokes a significant underestimation of power consumption using only the power consumption centered at the fundamental frequency. View Full-Text
Keywords: energy consumption estimation; power quality; data acquisition; data analysis energy consumption estimation; power quality; data acquisition; data analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Guillen-Garcia, E.; Zorita-Lamadrid, A.L.; Duque-Perez, O.; Morales-Velazquez, L.; Osornio-Rios, R.A.; Romero-Troncoso, R.J. Power Consumption Analysis of Electrical Installations at Healthcare Facility. Energies 2017, 10, 64.

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