Preparation and preliminary analysis of data on energy consumption by municipal buildings

Andrii Perekrest,Vitaliy Kuznetsov,Anatoliy Nikolenko,Oleksii Chornyi,Oleksandra Mur,Yevheniia Kuznetsova

doi:10.15587/1729-4061.2018.147485

Abstract

Systematization of data on energy consumption by buildings of different purposes makes it possible to investigate processes from the standpoint of efficient use of energy resources in order to ensure comfortable conditions. This necessitates improvement of existing approaches, or search for the new ones, in order to analyze data on energy consumption by different buildings. Based on a study into the process of preparing data on energy consumption by buildings, we have proposed a procedure of initial analysis. It takes into account the purpose of a building, as well as techniques for data acquisition, information on the indicators of absolute and relative electricity and heat consumption, indicators of indoor and outdoor air temperatures. Using energy consumption by buildings of the educational institution as an example, we have verified the devised procedure for the preliminary data analysis. Our study has made it possible to establish the correlation of energy consumption indicators and the indoor and outdoor air temperatures in the transition from general data to the data on a heating period. An analysis of spread diagrams has revealed the trends towards lower energy consumption, as well as the excessive consumption of energy resources by the examined objects. Based on the developed software, we compared indicators of heat consumption by individual apartments and a maximum heating need in accordance with normative documents. The results obtained could form a basis for developing applied information solutions for municipal energy management

Highlights

Much attention is paid to the problems of efficient use of energy resources and energy efficiency
Paper [7] considered the possibility to predict heat consumption in the system of centralized heat supply based on the Elman neural network using a genetic algorithm, which makes it possible to optimize the weights of models
To increase the efficiency of heat supply, it is necessary to devise information solutions aimed at intelligent processing of data on energy consumption and solving the tasks on reducing energy resources consumption

Summary

Introduction

Much attention is paid to the problems of efficient use of energy resources and energy efficiency. Preparation and conducting the initial analysis, make it possible to obtain valuable information on energy consumption in order to build a model using methods of machine learning. There is a need to improve already existing approaches, or to search for the new ones, in order to analyze data on energy consumption, with the aim of making decisions directed at increasing the efficiency of energy resources use. Researchers do not pay enough attention to the issue of data collection, preparation and conducting an initial analysis, which would make it possible to acquire information about power consumption prior to constructing a model and could significantly affect the adequacy of the model. There is a need to build a unified methodology to examine data on the energy consumption in buildings with different functional purpose

Literature review and problem statement

Materials and methods to examine data

Results of research into energy consumption of buildings

A DDHP coefficient is:

Discussion of results of studying the energy consumption by buildings

Conclusions