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  • This paper deals with benefits of heat curve corrections. Number of heat distributors use simple weather compensation heating curve to set temperature of heating water in their systems. In such system the water temperature value 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 plays 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 paper, 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 paper deals with benefits of heat curve corrections. Number of heat distributors use simple weather compensation heating curve to set temperature of heating water in their systems. In such system the water temperature value 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 plays 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 paper, 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. (en)
Title
  • Heating curve corrections based on behavior in the consumption of the heat
  • Heating curve corrections based on behavior in the consumption of the heat (en)
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  • Heating curve corrections based on behavior in the consumption of the heat
  • Heating curve corrections based on behavior in the consumption of the heat (en)
skos:notation
  • RIV/70883521:28140/12:43868540!RIV13-MSM-28140___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED2.1.00/03.0089)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 138750
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  • RIV/70883521:28140/12:43868540
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  • Equithermal curve, heating curve, heat consumption, prediction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CE595A353E38]
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  • Kos Island
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  • Kos
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  • Proceedings of the 16th WSEAS International Conference on Systems
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http://linked.open...ichTvurcuVysledku
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dolinay, Viliam
  • Vašek, Lubomír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • WSEAS Press (GR)
https://schema.org/isbn
  • 978-1-61804-108-1
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  • 28140
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