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Description
  • This article focuses on benefits of heat curve corrections. Large group of heat distributors use simple weather compensation heating curve to compute temperature of heating water in their supply systems. In such system the value of the water temperature is directly proportional to outside temperature. From the natural behavior of the system is evident that the heat requirements during the day change but not only depending on outside temperature but time has an important role. A typical example of this behavior is the morning rush hour. Regardless of the constancy of outside temperature, system consumes an increased amount of heat. The reason is simple in this case, consumer (house) loses heat during the night because the temperature at night is controlled to a lower value but when switching to the daily operation, it is a logical that heating system tries to attempt to supplement this heat deprivation. One possible solution would be to do intelligent appliances at the time of these changes and the distribution spread more in time. These methods, however, would require greater investment but that the most consumers are not in the current economic situation willing to accept. The second solution, presented in this article, leaves the current system of weather compensation curve and only complements correction terms. These corrections ensure that at critical moments, the system temperature will be increased/decreased and the system will better spread required heat flow between the quantity (mass flow) and quality (temperature). Proposed method was applied on real heating system and subsequent behavior was closely monitored. Obtained results show improved behavior, which is evident from the reduction of shock and peaks in the system. This article presents idea and practical attempt of heating curve modification, as an introduction for the future research.
  • This article focuses on benefits of heat curve corrections. Large group of heat distributors use simple weather compensation heating curve to compute temperature of heating water in their supply systems. In such system the value of the water temperature is directly proportional to outside temperature. From the natural behavior of the system is evident that the heat requirements during the day change but not only depending on outside temperature but time has an important role. A typical example of this behavior is the morning rush hour. Regardless of the constancy of outside temperature, system consumes an increased amount of heat. The reason is simple in this case, consumer (house) loses heat during the night because the temperature at night is controlled to a lower value but when switching to the daily operation, it is a logical that heating system tries to attempt to supplement this heat deprivation. One possible solution would be to do intelligent appliances at the time of these changes and the distribution spread more in time. These methods, however, would require greater investment but that the most consumers are not in the current economic situation willing to accept. The second solution, presented in this article, leaves the current system of weather compensation curve and only complements correction terms. These corrections ensure that at critical moments, the system temperature will be increased/decreased and the system will better spread required heat flow between the quantity (mass flow) and quality (temperature). Proposed method was applied on real heating system and subsequent behavior was closely monitored. Obtained results show improved behavior, which is evident from the reduction of shock and peaks in the system. This article presents idea and practical attempt of heating curve modification, as an introduction for the future research. (en)
Title
  • Corrections of the heating curve based on behavior in the consumption of the heat
  • Corrections of the heating curve based on behavior in the consumption of the heat (en)
skos:prefLabel
  • Corrections of the heating curve based on behavior in the consumption of the heat
  • Corrections of the heating curve based on behavior in the consumption of the heat (en)
skos:notation
  • RIV/70883521:28140/13:43870335!RIV14-MSM-28140___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0089)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 67124
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/13:43870335
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Equithermal curve, heating curve, heat consumption, prediction, simulation. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [99E89BA11A98]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Mathematics and Computers in Simulations
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 7
http://linked.open...iv/tvurceVysledku
  • Dolinay, Viliam
  • Vašek, Lubomír
issn
  • 1998-0159
number of pages
http://localhost/t...ganizacniJednotka
  • 28140
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