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Winter performance of a cross-flow automatically controlled naturally ventilated (ACNV) pig finishing house

Published online by Cambridge University Press:  22 November 2017

A T Smith  and
I A Barrie
A T Smith
Affiliation:
MAFF, Woodthorne, Wolverhampton, WV6 8TQ
I A Barrie
Affiliation:
MAFF, Woodthorne, Wolverhampton, WV6 8TQ
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Extract

Automatically Controlled Natural Ventilation (ACNV) has been shown to give good control over ventilation rates in pig houses under a wide range of climatic conditions (1, 2 and 3). Ventilation control is the principal means of governing the house temperature. A lower house temperature implies higher ventilation rates and a lower concentration of airborne contaminants. In cold weather, therefore, there is an incentive to set the house temperature as low as practical considerations will allow. One important constraint is the temperature variation within the house. The present study was undertaken to determine the magnitude of the temperature variations occurring in a commercial pig finishing house during cold weather. External weather was monitored to determine the relationship between internal temperature patterns and the weather. In addition the use of ceiling fans was investigated to assess their influence on the temperature distribution and air speed at pig level.

Type
Pig Production
Information
Proceedings of the British Society of Animal Production (1972) , Volume 1986 , March 1986 , pp. 130
Copyright
Copyright © The British Society of Animal Production 1986

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References

Ref 1 Tasker, R J and Bruce, J M, Automatically Controlled Natural Ventilation (ACNV) in Pig Housing. BSAP Winter Meeting 1983.Google Scholar
Ref 2 Spackman, E, Beckett, M P, Armsby, A W and Shepherd, C. An analysis of the environmental control achieved in an ACNV farrowing house. BSAP Winter Meeting 1983.Google Scholar
Ref 3 Smith, A T, Barrie, I A, Yeo, M L. Observations of the summer performance of natural cross flow ventilation, incorporating automatic control, in a wide straw bedded pig finishing house and the use of meteorological records for predicting extreme conditions. BSAP Winter Meeting 1984.Google Scholar