Model Predictive Control of the Hybrid Ventilation for Livestock

Zhuang Wu, Jakob Stoustrup, Klaus Trangbæk, Per Heiselberg, Martin Riisgaard Jensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)
269 Downloads (Pure)

Resumé

In this paper, design and simulation results of Model Predictive Control (MPC) strategy for livestock hybrid ventilation systems and associated indoor climate through variable valve openings and exhaust fans are presented. The design is based on thermal comfort parameters for poultry in barns and a dynmaic model describing the nonlinear behaviro of ventilation and associated climate, by applying a so-called conceptual multi-zone method and the conservation of energy and mass. The simulation results illustrate the high potential of MPC in dealing with nonlinearities, handling constraints and performing off-set free tracking. The purpose of this paper is to apply MPC taking into account of the random disturbances from animals and weather condition to calculate the optimal ventilation rate and air flow distribution and the prediction of indoor horizontal variation of temperature through an optimum energy approach.
OriginalsprogEngelsk
Titel45th IEEE Conference on Decision and Control Proceedings
Antal sider6
ForlagElectrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publikationsdato2006
Sider1460-1465
ISBN (Trykt)1424401712
StatusUdgivet - 2006
Begivenhed45th IEEE Conference on Decision and Control (CDC) - San Diego, USA
Varighed: 13 dec. 200615 dec. 2006
Konferencens nummer: 45

Konference

Konference45th IEEE Conference on Decision and Control (CDC)
Nummer45
LandUSA
BySan Diego
Periode13/12/200615/12/2006

Fingerprint

Model predictive control
Agriculture
Ventilation
Ventilation exhausts
Poultry
Control nonlinearities
Thermal comfort
Fans
Conservation
Animals
Air
Temperature

Bibliografisk note

"© 2006 IEEE, Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrightet component of this work in other works."

Citer dette

Wu, Z., Stoustrup, J., Trangbæk, K., Heiselberg, P., & Riisgaard Jensen, M. (2006). Model Predictive Control of the Hybrid Ventilation for Livestock. I 45th IEEE Conference on Decision and Control Proceedings (s. 1460-1465). Electrical Engineering/Electronics, Computer, Communications and Information Technology Association.
Wu, Zhuang ; Stoustrup, Jakob ; Trangbæk, Klaus ; Heiselberg, Per ; Riisgaard Jensen, Martin. / Model Predictive Control of the Hybrid Ventilation for Livestock. 45th IEEE Conference on Decision and Control Proceedings. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2006. s. 1460-1465
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Wu, Z, Stoustrup, J, Trangbæk, K, Heiselberg, P & Riisgaard Jensen, M 2006, Model Predictive Control of the Hybrid Ventilation for Livestock. i 45th IEEE Conference on Decision and Control Proceedings. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, s. 1460-1465, 45th IEEE Conference on Decision and Control (CDC), San Diego, USA, 13/12/2006.

Model Predictive Control of the Hybrid Ventilation for Livestock. / Wu, Zhuang; Stoustrup, Jakob; Trangbæk, Klaus; Heiselberg, Per; Riisgaard Jensen, Martin.

45th IEEE Conference on Decision and Control Proceedings. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2006. s. 1460-1465.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Model Predictive Control of the Hybrid Ventilation for Livestock

AU - Wu, Zhuang

AU - Stoustrup, Jakob

AU - Trangbæk, Klaus

AU - Heiselberg, Per

AU - Riisgaard Jensen, Martin

N1 - "© 2006 IEEE, Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrightet component of this work in other works."

PY - 2006

Y1 - 2006

N2 - In this paper, design and simulation results of Model Predictive Control (MPC) strategy for livestock hybrid ventilation systems and associated indoor climate through variable valve openings and exhaust fans are presented. The design is based on thermal comfort parameters for poultry in barns and a dynmaic model describing the nonlinear behaviro of ventilation and associated climate, by applying a so-called conceptual multi-zone method and the conservation of energy and mass. The simulation results illustrate the high potential of MPC in dealing with nonlinearities, handling constraints and performing off-set free tracking. The purpose of this paper is to apply MPC taking into account of the random disturbances from animals and weather condition to calculate the optimal ventilation rate and air flow distribution and the prediction of indoor horizontal variation of temperature through an optimum energy approach.

AB - In this paper, design and simulation results of Model Predictive Control (MPC) strategy for livestock hybrid ventilation systems and associated indoor climate through variable valve openings and exhaust fans are presented. The design is based on thermal comfort parameters for poultry in barns and a dynmaic model describing the nonlinear behaviro of ventilation and associated climate, by applying a so-called conceptual multi-zone method and the conservation of energy and mass. The simulation results illustrate the high potential of MPC in dealing with nonlinearities, handling constraints and performing off-set free tracking. The purpose of this paper is to apply MPC taking into account of the random disturbances from animals and weather condition to calculate the optimal ventilation rate and air flow distribution and the prediction of indoor horizontal variation of temperature through an optimum energy approach.

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KW - Hybrid Ventilation

KW - Thermal Comfort

M3 - Article in proceeding

SN - 1424401712

SP - 1460

EP - 1465

BT - 45th IEEE Conference on Decision and Control Proceedings

PB - Electrical Engineering/Electronics, Computer, Communications and Information Technology Association

ER -

Wu Z, Stoustrup J, Trangbæk K, Heiselberg P, Riisgaard Jensen M. Model Predictive Control of the Hybrid Ventilation for Livestock. I 45th IEEE Conference on Decision and Control Proceedings. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. 2006. s. 1460-1465