OPTIMAL DISTRIBUTION OF ENERGY IN THE INTELLIGENT NETWORK OF DIRECT ELECTRIC HEATING

Abstract

The paper considers concepts of design and optimization of intellectual network of direct electric heating. Queuing techniques together with classical approaches describing thermal processes have been
applied to describe and analyze processes taking place within the network.
Intellectual network of direct electric heating is a system of electric heaters located within different areas of an object being heated; the heaters are connected to a common energy source by means of specific automation devices that is “smart” connectors. While sharing information on a real time basis, latter ones
generate a subset of local heat sources; total power of the heat sources is not more than randomly timecontrolled power limit meant for heating purposes. Structure of the subset varies in such a way to provide
preset temperature distribution within area heated with the help of the devices. The network experiences reconfiguration automatically as soon as either power surplus or power deficit occurs.
Following out of the ordinary result has been obtained: selective connection of certain quantity of heaters which total power is equal to heating power limit is more efficient. In the context of the considered example of 3-room apartment heating where power limit is from 2 to 4kW and power of heaters is 1500W only
2 of 4 heaters can be connected simultaneously. In this regard average heating power output is 35% more
than the power output by four heaters with equivalent power 750W each connected without waiting in queue.

Author Biographies

Александр Михайлович Заславский, National Mining University

Ph.D, Docent, Associate professor of the Department of automation and computer systems, National Mining University

Виктор Васильевич Ткачев, National Mining University

Dr. of Science, Professor, Head of the Department of automation and
computer systems, National Mining University

Андрей Викторович Бубликов, National Mining University

Ph.D, Docent, Associate professor of the Department of automation
and computer systems, National Mining University

Олег Викторович Карпенко, National Mining University

assistant of the Department of automation and computer systems, National Mining University

Published
2017-05-10
How to Cite
Заславский, А., Ткачев, В., Бубликов, А., & Карпенко, О. (2017). OPTIMAL DISTRIBUTION OF ENERGY IN THE INTELLIGENT NETWORK OF DIRECT ELECTRIC HEATING. Electrotechnic and Computer Systems, (25(101), 358-365. https://doi.org/10.15276/eltecs.25.101.2017.42
Section
Automation of control processes