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Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions

Thesis (PhD (Electronic Engineering))--University of Pretoria, 2023.

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Other Authors: Xia, Xiaohua
Format: Thesis
Language:English
Published: University of Pretoria 2023
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access_status_str Open Access
author2 Xia, Xiaohua
author_browse Xia, Xiaohua
author_facet Xia, Xiaohua
collection Thesis
dc_rights_str_mv © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD (Electronic Engineering))--University of Pretoria, 2023.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:35.948Z
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provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
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spelling oai:repository.up.ac.za:2263/89705 Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions Xia, Xiaohua u12088987@tuks.co.za Sanama Goufan, Conrad Constant UCTD Vapor Compression System Steady State Modelling Transient State Modelling Experimental Investigation Control Volume Scheme Thesis (PhD (Electronic Engineering))--University of Pretoria, 2023. Detailed steady and transient state models of vapor compression (VC) systems have been suggested in this work so that the governing parameters of the refrigerant dynamics such as pressure, enthalpy and temperature could be predicted at different operating conditions. The steady and transient state models were validated with experimental data collected during startup and steady state operations. The experimental setup was equipped with a thermostatic expansion valve, a reciprocal compressor and plate heat exchangers for the condenser and evaporator. Recirculated water was adopted as secondary fluid for heat transfer with R-134a refrigerant. The steady state model was developed from first principles with the refrigerant conditions being determined at each junction between the components of the VC system. A steady state matrix was built to determine the model outputs and it could be adopted for similar problems such as steady state modelling of single-condenser-and-multi-evaporators systems. The refrigerant pressures through the evaporator and condenser were in agreement with experiments. Other refrigerant conditions such as enthalpy and temperature through the components were also validated with experiments. The evaporator and condenser modelling in transient state required special attention and Navier-Stokes equations were adopted for this purpose along with a finite volume scheme for discretization of the condenser and evaporator into 3 and n-control volumes. A transient state matrix was also built for outputs’ prediction in transient operating conditions such as startup and shutdown. The refrigerant conditions namely pressure and enthalpy through the evaporator and condenser were validated with experiments. The transient state model was then improved and converted into a control-oriented model with 12 state variables. The control-oriented model considered phase change in the condenser and evaporator namely, superheat, two-phase and subcooling. Model predictive control (MPC) was implemented on the control-oriented model after a model linearization around a steady state point carefully selected from the steady state experiments performed for validation of the steady state modelling. MPC implementation enabled to control superheat and evaporating pressure simultaneously with consideration of the coupling effect between superheat and capacity regulation. MPC was integrated in Simulink with satisfactory performances regarding disturbance rejection and reference tracking. Building up on satisfactory MPC performance for multivariable control of the refrigerant dynamics, a proportional integral derivative (PID)-MPC controller was implemented on a Chiller-Fan coil unit (FCU) to control simultaneously, indoor temperature, humidity and CO2 level with the coupling effect between humidity and temperature taken into consideration. PID was implemented on a sub layer control loop located at the first heat exchanger and fresh air temperature was maintained within settings to level-out with room temperature to prevent from imbalanced loads. Disturbance rejection and set point tracking were satisfactory without necessarily increasing the supply fan and compressor speeds. MPC was implemented on an upper layer control loop located at a secondary heat exchanger to regulate simultaneously indoor humidity, temperature and CO2 level. The coupling effect between humidity and temperature was well taken care of by the MPC loop and CO2 level regulation was performed without additional load as fresh air intake was carefully pre-cooled using the primary heat exchanger controlled with a PID loop. The performance of the sub layer PID was satisfactory with regards to stability, maximum overshoot and settling time whilst reference tracking and disturbance rejection were satisfactory with the upper layer MPC. Electrical, Electronic and Computer Engineering PhD (Electronic Engineering) Unrestricted 2023-02-21T07:10:34Z 2023-02-21T07:10:34Z 2023-05-12 2023 Thesis * A2023 https://repository.up.ac.za/handle/2263/89705 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Vapor Compression System
Steady State Modelling
Transient State Modelling
Experimental Investigation
Control Volume Scheme
Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
title Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
title_full Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
title_fullStr Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
title_full_unstemmed Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
title_short Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
title_sort mathematical models of vapor compression systems for multivariable control of the refrigerant dynamics and indoor air conditions
topic UCTD
Vapor Compression System
Steady State Modelling
Transient State Modelling
Experimental Investigation
Control Volume Scheme
url https://repository.up.ac.za/handle/2263/89705