Control of supercritical organic Rankine cycle based waste heat recovery system using conventional and fuzzy self-tuned PID controllers

Chowdhury, Jahedul Islam, Thornhill, David, Soulatiantork, Payam, Hu, Yukun, Balta-Ozkan, Nazmiye, Varga, Liz and Nguyen, Bao Kha (2019) Control of supercritical organic Rankine cycle based waste heat recovery system using conventional and fuzzy self-tuned PID controllers. International Journal of Control, Automation and Systems, 17. pp. 1-13. ISSN 1598-6446

[img] PDF - Accepted Version
Restricted to SRO admin only until 19 August 2020.

Download (2MB)

Abstract

This research develops a supercritical organic Rankine cycle (ORC) based waste heat recovery (WHR) system for control system simulation. In supercritical ORC-WHR systems, the evaporator is a main contributor to the thermal inertia of the system, which is greatly affected by transient heat sources during operation. In order to capture the thermal inertia of the system and reduce the computation time in the simulation process, a fuzzy-based dynamic evaporator model was developed and integrated with other component models to provide a complete dynamic ORC-WHR model. This paper presents two control strategies for the ORC-WHR system: evaporator temperature control and expander output control, and two control algorithms: a conventional PID controller and a fuzzy-based self-tuning PID controller. The performances of the proposed controllers are tested for set point tracking and disturbance rejection ability in the presence of steady and transient thermal input conditions. The robustness of the proposed controllers is investigated with respect to various operating conditions. The results show that the fuzzy self-tuning PID controller outperformed the conventional PID controller in terms of set point tracking and disturbance rejection ability at all conditions encountered in the paper.

Item Type: Article
Keywords: Control algorithms, fuzzy logic, organic Rankine cycle, PID controller, supercritical condition, waste heat recovery
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Dynamics, Control and Vehicle Research Group
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ0751 Miscellaneous motors and engines Including gas, gasoline, diesel engines
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Depositing User: Bao Kha Nguyen
Date Deposited: 23 Aug 2019 14:43
Last Modified: 23 Aug 2019 16:21
URI: http://sro.sussex.ac.uk/id/eprint/85646

View download statistics for this item

📧 Request an update
Project NameSussex Project NumberFunderFunder Ref
UnsetUnsetEPSRCEP/P004636/1