Travail de fin d'études et stage[BR]- Travail de fin d'études : Investigation of different control algorithms for refrigeration cycle and evaluation of technical solutions for automation of refrigerant charge management[BR]- Stage
Roemers, Quentin
Promotor(s) : Lemort, Vincent
Date of defense : 24-Jun-2024/25-Jun-2024 • Permalink : http://hdl.handle.net/2268.2/20163
Details
Title : | Travail de fin d'études et stage[BR]- Travail de fin d'études : Investigation of different control algorithms for refrigeration cycle and evaluation of technical solutions for automation of refrigerant charge management[BR]- Stage |
Translated title : | [fr] Investigation de différents algorithmes de contrôle pour des cycles de réfrigération et évaluation de solutions techniques pour automatiser la gestion de charge de réfrigérant |
Author : | Roemers, Quentin |
Date of defense : | 24-Jun-2024/25-Jun-2024 |
Advisor(s) : | Lemort, Vincent |
Committee's member(s) : | Hernandez Naranjo, Jairo Andres
Lenaerts, Simon |
Language : | English |
Number of pages : | 122 |
Keywords : | [en] PID, System Identification, Refrigeration Cycle, Model Predictive Control, Control System, and Regulation of Charge Refrigerant |
Discipline(s) : | Engineering, computing & technology > Electrical & electronics engineering |
Target public : | Researchers Professionals of domain Student |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en ingénieur civil électromécanicien, à finalité spécialisée en énergétique |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] This thesis investigates control system improvements
for Hot Gas By-Pass (HGBP) and gas cycle load
stands at Copeland Welkenraedt. The current controllers struggle to reach the operating points of compressors efficiently, leading to a waste of time, energy,
and resources.
To address these issues, a two-part approach is proposed. First, a data-driven modeling approach utilizing system identification with experimental data
is used to represent the HGBP stands numerically.
A Multi-Model PID control strategy with a piecewise linear model with gain scheduling is then developed to adjust PID parameters based on the identified model. The possibility of a Multi-Model Model
Predictive Control (MPC) algorithm is also explored.
The goal is to achieve faster transitions between operating points and reduce test time.
Second, the thesis investigates automatic refrigerant
management for the HGBP and gas cycle systems.
For the HGBP stands, level sensors are proposed to
signal the need for adding or withdrawing refrigerant. A method to calculate the appropriate liquid receiver size is also presented. For the gas cycle stand,
a solution suggests the utilization of a tank storing
refrigerant with a coiled tube heat exchanger to manage refrigerant based on pressure changes induced by
heating or cooling the tank.
The conclusion suggests further research on optimizing data acquisition methods for system identification and comparing different PID tuning techniques.
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