Calculation of specific electrical loads of residential buildings based on actual measurements

Author:

Akhmetshin A. R.1ORCID,Soluyanov Yu. I.2,Fedotov A. I.1ORCID,Chernova N. V.2,Soluyanov V. I.3ORCID

Affiliation:

1. Kazan State Power Engineering University

2. Association "Roselectromontazh"

3. JSC "Tatelektromontazh"

Abstract

Updating the development of specific electrical loads of residential buildings of clusters 1 (up to 5 floors) and 2 (6-11 floors) based on actual measurements (with amendments to the Code of Rules 256.1325800.2016 "Electrical installations of residential and public buildings. Design and installation rules") contributes reducing the cost of technological connection in residential construction, as well as reducing the actual unused "locked power" at the same time as reducing electricity losses in power transformers. In the course of the study, an analysis has been made of the actual electrical loads of residential buildings in Moscow for the periods from November 1 to November 30, 2021 and from December 25, 2021 to January 31, 2022. The number of the studied sample for cluster 1 is 91 houses, for cluster 2 - 58 houses. When determining the maximum specific power of a sample set of multi-apartment residential buildings in Moscow in clusters 1 and 2, an average value and a confidence interval have been established, which "covers" the average of the general population with a probability of 95 %; a comparative analysis of the actual specific electrical loads of a residential building with the loads given in the Code of Rules has been carried out. Based on the results of statistical processing of a sample of multi-apartment buildings in clusters 1 and 2, the dependence of the maximum specific power on the number of apartments in a residential building has been determined with a trend line that clearly illustrates the trend in the studied dependence.

Publisher

FSEI HPE Murmansk State Technical University

Subject

Materials Science (miscellaneous)

Reference24 articles.

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3. 3. Goreeva, N. M., Demidova, L. N. 2019. Statistics. Moscow. (In Russ.)

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