A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2: Model performance assessments

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A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2 : Model performance assessments. / Huang, Tao; Rong, Li; Zhang, Guoqiang; Brandt, Pia; Bjerg, Bjarne; Pedersen, Poul; Granath, Simon W.L.

I: Biosystems Engineering, Bind 212, 2021, s. 318-335.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Huang, T, Rong, L, Zhang, G, Brandt, P, Bjerg, B, Pedersen, P & Granath, SWL 2021, 'A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2: Model performance assessments', Biosystems Engineering, bind 212, s. 318-335. https://doi.org/10.1016/j.biosystemseng.2021.08.021

APA

Huang, T., Rong, L., Zhang, G., Brandt, P., Bjerg, B., Pedersen, P., & Granath, S. W. L. (2021). A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2: Model performance assessments. Biosystems Engineering, 212, 318-335. https://doi.org/10.1016/j.biosystemseng.2021.08.021

Vancouver

Huang T, Rong L, Zhang G, Brandt P, Bjerg B, Pedersen P o.a. A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2: Model performance assessments. Biosystems Engineering. 2021;212:318-335. https://doi.org/10.1016/j.biosystemseng.2021.08.021

Author

Huang, Tao ; Rong, Li ; Zhang, Guoqiang ; Brandt, Pia ; Bjerg, Bjarne ; Pedersen, Poul ; Granath, Simon W.L. / A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2 : Model performance assessments. I: Biosystems Engineering. 2021 ; Bind 212. s. 318-335.

Bibtex

@article{d5b11042e9de4e94ad8d9d8b50b356a4,
title = "A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2: Model performance assessments",
abstract = "The performance of the mechanistic two-node thermophysiological model was assessed using the experimental data with respect to gestating sows and fattening pigs. The relation between the convective heat transfer coefficient and local airspeed was derived from CFD simulation. The improvement brought by the newly proposed active module over the selected available models was analysed and discussed. Generally, the proposed two-node model with novel active modules for pulmonary ventilation rate (related to panting) and vasodilatation could predict rectal and skin temperatures for fattening pigs and gestating sows with an error of 0.88% and 3.96%, and 0.42% and 1.27% respectively. Employing existing relationships for pulmonary ventilation rate and vasodilatation resulted overestimations on the skin and rectal temperature. Additionally, the convective heat transfer coefficient should be developed based on the field conditions when the flow pattern is not similar to that under which the existing models were developed. The mean radiant temperature should be input with a decent level of accuracy when a high level of accuracy of prediction was necessary. The proposed model is reliable and robust when predicting the pig thermal status under various climate conditions and it is expected to be applied when operating the technical approaches to mitigate the heat stress.",
keywords = "Convective heat transfer coefficient, Mechanistic model, Pig thermoregulation, Pulmonary ventilation rate, Vasodilatation",
author = "Tao Huang and Li Rong and Guoqiang Zhang and Pia Brandt and Bjarne Bjerg and Poul Pedersen and Granath, {Simon W.L.}",
note = "Publisher Copyright: {\textcopyright} 2021 IAgrE",
year = "2021",
doi = "10.1016/j.biosystemseng.2021.08.021",
language = "English",
volume = "212",
pages = "318--335",
journal = "Biosystems Engineering",
issn = "1537-5110",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - A two-node mechanistic thermophysiological model for pigs reared in hot climates – Part 2

T2 - Model performance assessments

AU - Huang, Tao

AU - Rong, Li

AU - Zhang, Guoqiang

AU - Brandt, Pia

AU - Bjerg, Bjarne

AU - Pedersen, Poul

AU - Granath, Simon W.L.

N1 - Publisher Copyright: © 2021 IAgrE

PY - 2021

Y1 - 2021

N2 - The performance of the mechanistic two-node thermophysiological model was assessed using the experimental data with respect to gestating sows and fattening pigs. The relation between the convective heat transfer coefficient and local airspeed was derived from CFD simulation. The improvement brought by the newly proposed active module over the selected available models was analysed and discussed. Generally, the proposed two-node model with novel active modules for pulmonary ventilation rate (related to panting) and vasodilatation could predict rectal and skin temperatures for fattening pigs and gestating sows with an error of 0.88% and 3.96%, and 0.42% and 1.27% respectively. Employing existing relationships for pulmonary ventilation rate and vasodilatation resulted overestimations on the skin and rectal temperature. Additionally, the convective heat transfer coefficient should be developed based on the field conditions when the flow pattern is not similar to that under which the existing models were developed. The mean radiant temperature should be input with a decent level of accuracy when a high level of accuracy of prediction was necessary. The proposed model is reliable and robust when predicting the pig thermal status under various climate conditions and it is expected to be applied when operating the technical approaches to mitigate the heat stress.

AB - The performance of the mechanistic two-node thermophysiological model was assessed using the experimental data with respect to gestating sows and fattening pigs. The relation between the convective heat transfer coefficient and local airspeed was derived from CFD simulation. The improvement brought by the newly proposed active module over the selected available models was analysed and discussed. Generally, the proposed two-node model with novel active modules for pulmonary ventilation rate (related to panting) and vasodilatation could predict rectal and skin temperatures for fattening pigs and gestating sows with an error of 0.88% and 3.96%, and 0.42% and 1.27% respectively. Employing existing relationships for pulmonary ventilation rate and vasodilatation resulted overestimations on the skin and rectal temperature. Additionally, the convective heat transfer coefficient should be developed based on the field conditions when the flow pattern is not similar to that under which the existing models were developed. The mean radiant temperature should be input with a decent level of accuracy when a high level of accuracy of prediction was necessary. The proposed model is reliable and robust when predicting the pig thermal status under various climate conditions and it is expected to be applied when operating the technical approaches to mitigate the heat stress.

KW - Convective heat transfer coefficient

KW - Mechanistic model

KW - Pig thermoregulation

KW - Pulmonary ventilation rate

KW - Vasodilatation

U2 - 10.1016/j.biosystemseng.2021.08.021

DO - 10.1016/j.biosystemseng.2021.08.021

M3 - Journal article

AN - SCOPUS:85114701172

VL - 212

SP - 318

EP - 335

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

ER -

ID: 280056250