Determination of acceptable limits of adjustment of heat consumption loading; MATEC Web of Conferences; Vol. 110 : Heat and Mass Transfer in the Thermal Control System of Technical and Technological Energy Equipment (HMTTSC 2017)
| 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.] |
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| مؤلف مشترك: | |
| مؤلفون آخرون: | , , , |
| الملخص: | 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. |
| اللغة: | الإنجليزية |
| منشور في: |
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1051/matecconf/201711001032 http://earchive.tpu.ru/handle/11683/42598 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655335 |
| الملخص: | 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. |
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| DOI: | 10.1051/matecconf/201711001032 |