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https://doi.org/10.15405/epsbs...
Article . 2017 . Peer-reviewed
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Optimization of Energy Consumption in The Residential Sector, Using Automated Control Systems

Authors: Zhdanova, Anna Borisovna; Rakhimov, Timur Rustamovich; Bannova, Kristina Alekseevna; Khudyakova, G. S.; Krivoshein, Y. O.;

Optimization of Energy Consumption in The Residential Sector, Using Automated Control Systems

Abstract

With limited energy resources for sustainable and balanced national development it is becoming more and more important to solve tasks of optimization of energy consumption. This optimization is important not only for major Russian companies (which provide major share of tax inflows for the state budget), but also for homes in order toreduce the energy consumption. This article discusses a complex approach in the field monitoring and energy management of apartment buildings as part of the energy management program using an automated thermal and electrical energy management system developed by NGO VEST in Tomsk. It is shown that the power monitoring data allow to make economically effective decisions in reducing energy consumption costs in residential buildings. The creation of the Analytical Center and the use of an automated energy management system give the opportunity to reduce costs of heat consumption in apartment buildings and, as a consequence, increase the efficiency of use of budgetary funds, used for subsidizing the northern regions of Russia.

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Keywords

энергоэффективность, жилой фонд, energy management, energy consumption, автоматизированный контроль, energy costs, энергозатраты, energy efficiency, энергопотребление

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green