Model Predictive Control of the Hybrid Ventilation for Livestock

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

Model Predictive Control of the Hybrid Ventilation for Livestock

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

5 Citations (Scopus)

427 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	45th IEEE Conference on Decision and Control Proceedings
Number of pages	6
Publisher	Electrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publication date	2006
Pages	1460-1465
ISBN (Print)	1424401712
Publication status	Published - 2006
Event	45th IEEE Conference on Decision and Control (CDC) - San Diego, United States Duration: 13 Dec 2006 → 15 Dec 2006 Conference number: 45

Conference

Conference	45th IEEE Conference on Decision and Control (CDC)
Number	45
Country/Territory	United States
City	San Diego
Period	13/12/2006 → 15/12/2006

Keywords

Model Predictive Control
Hybrid Ventilation
Thermal Comfort

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Model Based Control of Livestock Ventilation Systems and Indoor Environments
Wu, Z., Stoustrup, J. & Heiselberg, P. K.
<ingen navn>
01/09/2004 → 31/08/2007
Project: Research

Cite this

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title = "Model Predictive Control of the Hybrid Ventilation for Livestock",

abstract = "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.",

keywords = "Model Predictive Control, Hybrid Ventilation, Thermal Comfort",

author = "Zhuang Wu and Jakob Stoustrup and Klaus Trangb{\ae}k and Per Heiselberg and {Riisgaard Jensen}, Martin",

note = "{"}{\textcopyright} 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.{"}; 45th IEEE Conference on Decision and Control (CDC) ; Conference date: 13-12-2006 Through 15-12-2006",

year = "2006",

language = "English",

isbn = "1424401712",

pages = "1460--1465",

booktitle = "45th IEEE Conference on Decision and Control Proceedings",

publisher = "Electrical Engineering/Electronics, Computer, Communications and Information Technology Association",

}

Wu, Z, Stoustrup, J, Trangbæk, K, Heiselberg, P & Riisgaard Jensen, M 2006, Model Predictive Control of the Hybrid Ventilation for Livestock. in 45th IEEE Conference on Decision and Control Proceedings. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, pp. 1460-1465, 45th IEEE Conference on Decision and Control (CDC), San Diego, United States, 13/12/2006.

Model Predictive Control of the Hybrid Ventilation for Livestock. / Wu, Zhuang; Stoustrup, Jakob; Trangbæk, Klaus et al.
45th IEEE Conference on Decision and Control Proceedings. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2006. p. 1460-1465.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-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 - Conference code: 45

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.

KW - Model Predictive Control

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

T2 - 45th IEEE Conference on Decision and Control (CDC)

Y2 - 13 December 2006 through 15 December 2006

ER -

Model Predictive Control of the Hybrid Ventilation for Livestock

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Keywords

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Model Based Control of Livestock Ventilation Systems and Indoor Environments

Cite this