Peer-reviewed articles 17,970 +



Title: PREDICTION OF ENERGY CONSUMPTION IN MUNICIPAL INSTITUTIONS DURING THE YEAR

PREDICTION OF ENERGY CONSUMPTION IN MUNICIPAL INSTITUTIONS DURING THE YEAR
K. Shirrime;P. Trubaev
1314-2704
English
18
4.1
In the tasks of managing energy resources and energy conservation, it is necessary to forecast the consumption of energy resources for a long period, with the detailed speci-fication of consumption over time intervals. A special case of such a task is the determi-nation of the annual consumption of energy resources and its division into monthly con-sumption, taking into account the changes in climatic conditions, the operating condi-tions of objects and other factors [1-2]. The paper suggests a method for predicting en-ergy consumption based on statistical data for previous years and regime factors - the number of working days per year, the number of working personnel, climatic factors. Methods are proposed for dividing the total consumption of thermal energy into energy consumption for heating and hot water preparation, as well as the total consumption of electrical energy for heating and the cost of operating equipment and household needs. The algorithm for calculating monthly consumption by the value of the forecast value of consumption per year is given [3-6]. The developed methods can be used in determining baselines and trends in energy management systems, predicting the effect of energy sav-ing measures, and long-term activity planning.
conference
18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
571-578
02-08 July, 2018
website
cdrom
1167
Energy efficiency; energy management; forecast; budget institutions