Determination of acceptable limits of adjustment of heat consumption loading

Podrobná bibliografie
Parent link:MATEC Web of Conferences
Vol. 110 : Heat and Mass Transfer in the Thermal Control System of Technical and Technological Energy Equipment (HMTTSC 2017).— 2017.— [01032, 4 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет
Další autoři: Glushkov S. V. Sergey Viktorovich, Kachalov N. A. Nikolay Aleksandrovich, Senkiv E. Elena, Glushkova V. Victoriya
Shrnutí:Title screen
The article describes the numerical study of the temperature fields in the living quarters of an apartment building, which made it possible to evaluate the dynamics of the air temperature changes in unsteady conditions as a result of an increase or decrease in the capacity of heating appliances in relation to the standardized value. The permissible limit for adjusting the heat consumption for panel houses is determined, where the permissible period of power variation is not more than 6 hours. The range of power change in this case reaches 40%. The obtained results can find its practical application in intelligent heat supply systems to minimize consumption of fuel and energy resources.
Jazyk:angličtina
Vydáno: 2017
Témata:
On-line přístup:https://doi.org/10.1051/matecconf/201711001032
http://earchive.tpu.ru/handle/11683/42598
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655335

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330 |a The article describes the numerical study of the temperature fields in the living quarters of an apartment building, which made it possible to evaluate the dynamics of the air temperature changes in unsteady conditions as a result of an increase or decrease in the capacity of heating appliances in relation to the standardized value. The permissible limit for adjusting the heat consumption for panel houses is determined, where the permissible period of power variation is not more than 6 hours. The range of power change in this case reaches 40%. The obtained results can find its practical application in intelligent heat supply systems to minimize consumption of fuel and energy resources. 
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