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Article

Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study

by
Álvaro De la Puente-Gil
,
Alberto González-Martínez
,
David Borge-Diez
,
Jorge Juan Blanes-Peiró
and
Miguel De Simón-Martín
*
Department Area of Electrical Engineering, School of Energy and Mining Engineering, Campus de Vegazana s/n, University of León, 24071 León, Spain
*
Author to whom correspondence should be addressed.
Environments 2018, 5(12), 133; https://doi.org/10.3390/environments5120133
Submission received: 7 November 2018 / Revised: 26 November 2018 / Accepted: 3 December 2018 / Published: 6 December 2018
(This article belongs to the Special Issue Renewable Energy Systems and Sources)

Abstract

Health Services building stock is usually the top energy consumer in the Administrative sector, by a considerable margin. Therefore, energy consumption supervision, prediction, and improvement should be carried out for this group in a preferential manner. Most prior studies in this field have characterized the energy consumption of buildings based on complex simulations, which tend to be limited by modelisation restrictions and assumptions. In this paper, an improved method for the clusterization of buildings based on their electrical energy consumption is proposed and, then, reference profiles are determined by examining the variation of energy consumption over the typical yearly consumption period. The temporary variation has been analyzed by evaluating the temporary evolution of the area consumption index through data mining and statistical clusterization techniques. The proposed methodology has been applied to building stock of the Health Services in the Castilla y León region in Spain, based on three years of historical monthly electrical energy consumption data for over 250 buildings. This building stock consists of hospitals, health centers (with and without emergency services) and a miscellaneous set of administrative and residential buildings. Results reveal five distinct electrical consumption profiles that have been associated with five reference buildings, permitting significant improvement in the demand estimation as compared to merely using the classical energy consumption indicators.
Keywords: building energy index; temporary variation; smart metering; clustering; data mining building energy index; temporary variation; smart metering; clustering; data mining

Share and Cite

MDPI and ACS Style

De la Puente-Gil, Á.; González-Martínez, A.; Borge-Diez, D.; Blanes-Peiró, J.J.; De Simón-Martín, M. Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study. Environments 2018, 5, 133. https://doi.org/10.3390/environments5120133

AMA Style

De la Puente-Gil Á, González-Martínez A, Borge-Diez D, Blanes-Peiró JJ, De Simón-Martín M. Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study. Environments. 2018; 5(12):133. https://doi.org/10.3390/environments5120133

Chicago/Turabian Style

De la Puente-Gil, Álvaro, Alberto González-Martínez, David Borge-Diez, Jorge Juan Blanes-Peiró, and Miguel De Simón-Martín. 2018. "Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study" Environments 5, no. 12: 133. https://doi.org/10.3390/environments5120133

APA Style

De la Puente-Gil, Á., González-Martínez, A., Borge-Diez, D., Blanes-Peiró, J. J., & De Simón-Martín, M. (2018). Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study. Environments, 5(12), 133. https://doi.org/10.3390/environments5120133

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