Model extension for model based MIMO control in HVAC systems

Daniel Schwingshackl, Jakob Rehrl, Martin Horn, Julian Belz, Oliver Nelles

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Abstract

The presented work deals with the multi-input multi-output (MIMO) control of Heating Ventilating and Air Conditioning (HVAC) systems. In previous work a model based control strategy consisting of a linear model predictive control (MPC) and the Local Linear Model Tree (LoLiMoT) algorithm was presented by the authors. The underlying modeling approach is based on a detailed representation of each HVAC system component. However, the dry effect due to residual condensation after a dehumidification period was not taken into account. In literature, this effect is also not considered in sufficient detail to the best knowledge of the authors. In this contribution a model extension including a novel approach regarding the above mentioned dry effect is discussed. The obtained improvements with respect to previous work are demonstrated in simulation as well as on a real world system.

Originalspracheenglisch
Seiten (von - bis)224-229
Seitenumfang6
FachzeitschriftJournal of Building Engineering
Jahrgang11
DOIs
PublikationsstatusVeröffentlicht - 1 Mai 2017

Fingerprint

Air conditioning
Heating
Model predictive control
Condensation

Schlagwörter

    ASJC Scopus subject areas

    • !!Architecture
    • !!Civil and Structural Engineering
    • !!Building and Construction
    • !!Safety, Risk, Reliability and Quality
    • !!Mechanics of Materials

    Dies zitieren

    Model extension for model based MIMO control in HVAC systems. / Schwingshackl, Daniel; Rehrl, Jakob; Horn, Martin; Belz, Julian; Nelles, Oliver.

    in: Journal of Building Engineering, Jahrgang 11, 01.05.2017, S. 224-229.

    Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

    Schwingshackl, Daniel ; Rehrl, Jakob ; Horn, Martin ; Belz, Julian ; Nelles, Oliver. / Model extension for model based MIMO control in HVAC systems. in: Journal of Building Engineering. 2017 ; Jahrgang 11. S. 224-229.
    @article{9f4f3798e7744c20aa6fe0dc1afa6e9e,
    title = "Model extension for model based MIMO control in HVAC systems",
    abstract = "The presented work deals with the multi-input multi-output (MIMO) control of Heating Ventilating and Air Conditioning (HVAC) systems. In previous work a model based control strategy consisting of a linear model predictive control (MPC) and the Local Linear Model Tree (LoLiMoT) algorithm was presented by the authors. The underlying modeling approach is based on a detailed representation of each HVAC system component. However, the dry effect due to residual condensation after a dehumidification period was not taken into account. In literature, this effect is also not considered in sufficient detail to the best knowledge of the authors. In this contribution a model extension including a novel approach regarding the above mentioned dry effect is discussed. The obtained improvements with respect to previous work are demonstrated in simulation as well as on a real world system.",
    keywords = "Heating ventilating and air conditioning, Local linear model tree, Model predictive control",
    author = "Daniel Schwingshackl and Jakob Rehrl and Martin Horn and Julian Belz and Oliver Nelles",
    year = "2017",
    month = "5",
    day = "1",
    doi = "10.1016/j.jobe.2017.04.015",
    language = "English",
    volume = "11",
    pages = "224--229",
    journal = "Journal of Building Engineering",
    issn = "2352-7102",
    publisher = "Elsevier B.V.",

    }

    TY - JOUR

    T1 - Model extension for model based MIMO control in HVAC systems

    AU - Schwingshackl, Daniel

    AU - Rehrl, Jakob

    AU - Horn, Martin

    AU - Belz, Julian

    AU - Nelles, Oliver

    PY - 2017/5/1

    Y1 - 2017/5/1

    N2 - The presented work deals with the multi-input multi-output (MIMO) control of Heating Ventilating and Air Conditioning (HVAC) systems. In previous work a model based control strategy consisting of a linear model predictive control (MPC) and the Local Linear Model Tree (LoLiMoT) algorithm was presented by the authors. The underlying modeling approach is based on a detailed representation of each HVAC system component. However, the dry effect due to residual condensation after a dehumidification period was not taken into account. In literature, this effect is also not considered in sufficient detail to the best knowledge of the authors. In this contribution a model extension including a novel approach regarding the above mentioned dry effect is discussed. The obtained improvements with respect to previous work are demonstrated in simulation as well as on a real world system.

    AB - The presented work deals with the multi-input multi-output (MIMO) control of Heating Ventilating and Air Conditioning (HVAC) systems. In previous work a model based control strategy consisting of a linear model predictive control (MPC) and the Local Linear Model Tree (LoLiMoT) algorithm was presented by the authors. The underlying modeling approach is based on a detailed representation of each HVAC system component. However, the dry effect due to residual condensation after a dehumidification period was not taken into account. In literature, this effect is also not considered in sufficient detail to the best knowledge of the authors. In this contribution a model extension including a novel approach regarding the above mentioned dry effect is discussed. The obtained improvements with respect to previous work are demonstrated in simulation as well as on a real world system.

    KW - Heating ventilating and air conditioning

    KW - Local linear model tree

    KW - Model predictive control

    UR - http://www.scopus.com/inward/record.url?scp=85019064756&partnerID=8YFLogxK

    U2 - 10.1016/j.jobe.2017.04.015

    DO - 10.1016/j.jobe.2017.04.015

    M3 - Article

    VL - 11

    SP - 224

    EP - 229

    JO - Journal of Building Engineering

    JF - Journal of Building Engineering

    SN - 2352-7102

    ER -