Assessing natural ventilation rates using a combined measuring and modelling approach

Gerlinde De Vogeleer; Philippe Van Overbeke; Jan G. Pieters; Peter Demeyer

Assessing natural ventilation rates using a combined measuring and modelling approach

Vertaalde titel van de bijdrage: Bepalen van debiet in natuurlijk geventileerde stallen door gebruik te maken van meettechnieken en neurale netwerken

Gerlinde De Vogeleer, Philippe Van Overbeke, Jan G. Pieters, Peter Demeyer

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › C1: Artikels in proceedings van wetenschappelijke congressen, die niet inbegrepen zijn in A1, A2, A3 of P1 › peer review

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Natural ventilation of animal houses clearly has advantages as for instance its low power consumption. However its application is often limited due to the lack of a reliable measuring and control system of the ventilation rate and so of emissions, as required for legislation.
Although a lot of models exist to determine natural ventilation rates in buildings, it is still a challenge to know the ventilation rate accurately with few measurements. The objective of this work was to develop a model for the prediction of the natural ventilation rate in a pig house with as few measuring points as possible. Neural networks were used to investigate the reliability and accuracy of using as limited input as possible, taken from data collected from measurements with sonic anemometers in a real scale test building under outside weather conditions.

Vertaalde titel van de bijdrage	Bepalen van debiet in natuurlijk geventileerde stallen door gebruik te maken van meettechnieken en neurale netwerken
Oorspronkelijke taal	Engels
Titel	International Conference of Agricultural Engineering - AgEng 2014 Zurich - Engineering for Improving Resource Efficiency
Aantal pagina’s	8
Uitgeverij	The European Society of Agricultural Engineers (EurAgEng)
Publicatiedatum	7-jul.-2014
ISBN van elektronische versie	978-0-9930236-0-6
Publicatiestatus	Gepubliceerd - 7-jul.-2014
Evenement	AgEng 2014 - Zurich, Zwitserland Duur: 7-jul.-2014 → 10-jul.-2014 http://www.ageng2014.ch

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Fullpaper_Zurich_Gerlinde_De_Vogeleer!!Submitted manuscript, 527 KB

NATVENT: Ontwikkeling van een praktijkmeettechniek voor het luchtdebiet en emissies van natuurlijk geventileerde stalsystemen
Demeyer, P. (Projectverantwoordelijke), De Vogeleer, G. (Doctoraatsstudent) & Van Overbeke, P. (Voormalig doctoraatsstudent)
1/01/11 → 31/12/14
Project: Onderzoek

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title = "Assessing natural ventilation rates using a combined measuring and modelling approach",

abstract = "Natural ventilation of animal houses clearly has advantages as for instance its low power consumption. However its application is often limited due to the lack of a reliable measuring and control system of the ventilation rate and so of emissions, as required for legislation.Although a lot of models exist to determine natural ventilation rates in buildings, it is still a challenge to know the ventilation rate accurately with few measurements. The objective of this work was to develop a model for the prediction of the natural ventilation rate in a pig house with as few measuring points as possible. Neural networks were used to investigate the reliability and accuracy of using as limited input as possible, taken from data collected from measurements with sonic anemometers in a real scale test building under outside weather conditions.",

author = "{De Vogeleer}, Gerlinde and {Van Overbeke}, Philippe and Pieters, {Jan G.} and Peter Demeyer",

year = "2014",

month = jul,

day = "7",

language = "English",

booktitle = "International Conference of Agricultural Engineering - AgEng 2014 Zurich - Engineering for Improving Resource Efficiency",

publisher = "The European Society of Agricultural Engineers (EurAgEng)",

address = "United Kingdom",

note = "AgEng 2014 ; Conference date: 07-07-2014 Through 10-07-2014",

url = "http://www.ageng2014.ch",

}

De Vogeleer, G, Van Overbeke, P, Pieters, JG & Demeyer, P 2014, Assessing natural ventilation rates using a combined measuring and modelling approach. in International Conference of Agricultural Engineering - AgEng 2014 Zurich - Engineering for Improving Resource Efficiency. The European Society of Agricultural Engineers (EurAgEng), AgEng 2014, Zurich, Zwitserland, 7/07/14.

Assessing natural ventilation rates using a combined measuring and modelling approach. / De Vogeleer, Gerlinde; Van Overbeke, Philippe; Pieters, Jan G. et al.
International Conference of Agricultural Engineering - AgEng 2014 Zurich - Engineering for Improving Resource Efficiency. The European Society of Agricultural Engineers (EurAgEng), 2014.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › C1: Artikels in proceedings van wetenschappelijke congressen, die niet inbegrepen zijn in A1, A2, A3 of P1 › peer review

TY - CHAP

T1 - Assessing natural ventilation rates using a combined measuring and modelling approach

AU - De Vogeleer, Gerlinde

AU - Van Overbeke, Philippe

AU - Pieters, Jan G.

AU - Demeyer, Peter

PY - 2014/7/7

Y1 - 2014/7/7

N2 - Natural ventilation of animal houses clearly has advantages as for instance its low power consumption. However its application is often limited due to the lack of a reliable measuring and control system of the ventilation rate and so of emissions, as required for legislation.Although a lot of models exist to determine natural ventilation rates in buildings, it is still a challenge to know the ventilation rate accurately with few measurements. The objective of this work was to develop a model for the prediction of the natural ventilation rate in a pig house with as few measuring points as possible. Neural networks were used to investigate the reliability and accuracy of using as limited input as possible, taken from data collected from measurements with sonic anemometers in a real scale test building under outside weather conditions.

AB - Natural ventilation of animal houses clearly has advantages as for instance its low power consumption. However its application is often limited due to the lack of a reliable measuring and control system of the ventilation rate and so of emissions, as required for legislation.Although a lot of models exist to determine natural ventilation rates in buildings, it is still a challenge to know the ventilation rate accurately with few measurements. The objective of this work was to develop a model for the prediction of the natural ventilation rate in a pig house with as few measuring points as possible. Neural networks were used to investigate the reliability and accuracy of using as limited input as possible, taken from data collected from measurements with sonic anemometers in a real scale test building under outside weather conditions.

M3 - C1: Articles in proceedings

BT - International Conference of Agricultural Engineering - AgEng 2014 Zurich - Engineering for Improving Resource Efficiency

PB - The European Society of Agricultural Engineers (EurAgEng)

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Assessing natural ventilation rates using a combined measuring and modelling approach

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Projecten

NATVENT: Ontwikkeling van een praktijkmeettechniek voor het luchtdebiet en emissies van natuurlijk geventileerde stalsystemen

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