Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805

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 time-controlled 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.

DOI 10.15276/eltecs.25.101.2017.42
  1. Zaslavsky, A. M., Tkachev, V.V., Ogeenko, P.Yu. (2016), “Mathematical modeling of the process of self-organization of an intelligent network of "smart" electric heaters, the total power of which exceeds the limited power of consumption of a heated object”, Mathematical and simulation systems. MODS 2016: Abstracts of the Eleventh International Scientific Conference[“Matematicheskoye modelirovaniye protsessa samoorganizatsii intellektual'noy seti «umnykh» elektronagrevatel'nykh priborov, summarnaya moshchnost' kotorykh prevoskhodit limitirovannuyu moshchnost' elektropotrebleniya obogrevayemogo ob'yekta”, Matematychne ta imitatsiyne modelyuvannya system. MODS 2016: tezy dopovidey odynadtsyatoyi mizhnarodnoyi naukovo-praktychnoyi konferentsyy], Chernihiv National Technical University, Chernihiv, pp. 212−215.
  2. Zaslavsky, A. M., Tkachev, V. V., Protsenko, S. N., Ogeenko, P. Yu. (2016), “Self-organization of intelligent network of "smart" electric heating devices as an alternative to traditional methods of room heating”, Control and management of complex systems. MCCS-2016: Abstracts of XIII international conferences[“Samoorganizatsiya intellektual'noy seti «umnykh» elektronagrevatel'nykh ustroystv kak al'ternativa Traditsionnym sposobam obogreva pomeshcheniy”, Kontrolʹ i upravlinnya v skladnykh systemakh. KUSS-2016: tezy dopovidey XIII Mizhnarodnoyi konferentsyy], Vinnytsia National Technical University, Vinnytsia, pp. 78−80.
  3. Abramchuk, S. I., Pugovkin, A. V. (2014), “Energy efficiency of an electric heater”, Reports of Tomsk State University of Control Systems and Radioelectronics, 2014, № 4 (34)[“Energeticheskaya effektivnost' elektricheskogo obogrevatelya”, Doklady Tomskogo universiteta sistem kontrolya i radioelektroniki,2014, № 4 (34)], Tomsk State University of Control Systems and Radioelectronics, Tomsk, pp. 211−214.
  4. Pugovkin, A. V., Kuprekov, S. V., Abushkin, D. V., Zarechnaya, I. A., Muslimova, N. I. (2010), “Mathematical model of heat supply of rooms for energy saving automatic control systems”, Reports of Tomsk State University of Control Systems and Radioelectronics, 2010, № 2 (22)[“Matematicheskaya model' teplosnabzheniya pomeshcheniy dlya ASU energosberezheniya”, Doklady Tomskogo universiteta sistem kontrolya i radioelektroniki, 2010, № 2 (22)], Tomsk State University of Control Systems and Radioelectronics, Tomsk, pp. 293−298.
  5. Gnedenko, B. V., Kovalenko, I. N. (2005), Introduction to queuing theory. 3rd ed., amended and supplemented[Vvedeniye v teoriyu massovogo obsluzhivaniya. 3-e izd., ispravlennoye i dopolnennoye], Editorial URSS, Moscow, 400 p.
  6. Saati, T. L. (1971), Elements of queuing theory and its applications [Elementy teorii massovogo obsluzhivaniya i yeye prilozheniya], Soviet radio, Moscow, 520 p.
Last download:
27 Nov 2020

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014-2018. Any use of information from the site is possible only under the condition that the source link! ]