Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79350
Title: Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system
Authors: Yin, Xiaohong
Li, Shaoyuan
Cai, Wenjian
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2015
Source: Yin, X., Li, S., & Cai, W. (2015). Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system. Computers and Chemical Engineering, 80, 1-14.
Series/Report no.: Computers and chemical engineering
Abstract: In this paper, a novel enhanced-efficiency selection of operating variables based on self-optimizing control (SOC) method for the vapor compression refrigeration cycle (VCC) system is proposed. An objective function is proposed to maximize the energy efficiency of the VCC system while meeting with the demand of indoor thermal comfort. With the detailed analysis of operating variables, three unconstrained degrees of freedom are selected among all the candidate operating variables. Then two SOC methods are applied to determine the optimal individual controlled variables (CVs) and measurement combinations as CVs. The model predictive control (MPC) method based controllers and PID controllers are designed for different sets of CVs, and the experimental results indicate that the proposed selection of CVs can achieve a good trade-off between optimal (or near optimal) stable operation and enhanced-efficiency of the synthesized control structure.
URI: https://hdl.handle.net/10356/79350
http://hdl.handle.net/10220/38487
ISSN: 0098-1354
DOI: 10.1016/j.compchemeng.2015.05.005
Schools: School of Electrical and Electronic Engineering 
Rights: © 2015 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers and Chemical Engineering, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.compchemeng.2015.05.005].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

SCOPUSTM   
Citations 20

10
Updated on Jun 5, 2024

Web of ScienceTM
Citations 50

5
Updated on Oct 27, 2023

Page view(s) 50

506
Updated on Jun 11, 2024

Download(s) 20

280
Updated on Jun 11, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.