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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F12%3A43868540%21RIV13-MSM-28140___
rdf:type
n3:Vysledek skos:Concept
dcterms:description
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.
dcterms: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
skos:prefLabel
Heating curve corrections based on behavior in the consumption of the heat Heating curve corrections based on behavior in the consumption of the heat
skos:notation
RIV/70883521:28140/12:43868540!RIV13-MSM-28140___
n3:predkladatel
n4:orjk%3A28140
n5:aktivita
n21:P
n5:aktivity
P(ED2.1.00/03.0089)
n5:dodaniDat
n18:2013
n5:domaciTvurceVysledku
n11:2146118 n11:3804089
n5:druhVysledku
n9:D
n5:duvernostUdaju
n16:S
n5:entitaPredkladatele
n14:predkladatel
n5:idSjednocenehoVysledku
138750
n5:idVysledku
RIV/70883521:28140/12:43868540
n5:jazykVysledku
n6:eng
n5:klicovaSlova
Equithermal curve, heating curve, heat consumption, prediction
n5:klicoveSlovo
n12:heating%20curve n12:heat%20consumption n12:prediction n12:Equithermal%20curve
n5:kontrolniKodProRIV
[CE595A353E38]
n5:mistoKonaniAkce
Kos Island
n5:mistoVydani
Kos
n5:nazevZdroje
Proceedings of the 16th WSEAS International Conference on Systems
n5:obor
n22:JE
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n20:ED2.1.00%2F03.0089
n5:rokUplatneniVysledku
n18:2012
n5:tvurceVysledku
Dolinay, Viliam Vašek, Lubomír
n5:typAkce
n19:WRD
n5:zahajeniAkce
2012-07-14+02:00
s:numberOfPages
4
n10:hasPublisher
WSEAS Press (GR)
n13:isbn
978-1-61804-108-1
n8:organizacniJednotka
28140