Article thumbnail

A Statistical Approach for Selecting Buildings for Experimental Measurement of HVAC Needs

By Malinowski Paweł and Ziembicki Piotr


This article presents a statistical methodology for selecting representative buildings for experimentally evaluating the performance of HVAC systems, especially in terms of energy consumption. The proposed approach is based on the k-means method. The algorithm for this method is conceptually simple, allowing it to be easily implemented. The method can be applied to large quantities of data with unknown distributions. The method was tested using numerical experiments to determine the hourly, daily, and yearly heat values and the domestic hot water demands of residential buildings in Poland. Due to its simplicity, the proposed approach is very promising for use in engineering applications and is applicable to testing the performance of many HVAC systems

Topics: k-means method, HVAC system performance, energy consumption, building characteristics, Environmental engineering, TA170-171
Publisher: Sciendo
Year: 2017
DOI identifier: 10.1515/ceer-2017-0007
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.