The use of statistical methods to analyze electric-energy consumption by budget institutions

Abstract

The possibilities of applying statistical methods to analyze the consumption of electric energy by budget organizations and control energy efficiency are studied. Statistical methods are used to consider the influence of the season and climatic conditions on consumption of electric energy, which allowed a simulation model to be created of electric-energy consumption for illumination and other needs according to data of devices considering only the total consumption of electric energy by all groups of consumers. The change in monthly consumption of electric energy within a year is a stochastic value depending on the duration of light in a day and other factors. The statistical characteristics of the monthly consumption of electric energy by individual buildings of Chuvash State University are determined. Dispersion analysis shows that distribution of the values of the monthly electric-energy consumptions by most buildings corresponds to the normal law. The correlation between the monthly electric-energy consumption and duration of light in a day permitted one to carry out a regression analysis and determine the actual average power of the lighting system and actual average power of the rest of the energy consumption of each facility. The results of the statistical analysis make it possible to compile the electric-energy consumption balance, predict electric-energy consumption by the different group of consumers, estimate the efficiency of energy-saving measures, and obtain the data necessary to fill in energy declarations and energy-performance certificates.