Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system
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 wit...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/79350 http://hdl.handle.net/10220/38487 |
| _version_ | 1811680429192773632 |
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| author | Yin, Xiaohong Li, Shaoyuan Cai, Wenjian |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Yin, Xiaohong Li, Shaoyuan Cai, Wenjian |
| author_sort | Yin, Xiaohong |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:24:54Z |
| format | Journal Article |
| id | ntu-10356/79350 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:24:54Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/793502020-03-07T13:57:22Z Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system Yin, Xiaohong Li, Shaoyuan Cai, Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering 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. Accepted version 2015-08-21T03:33:11Z 2019-12-06T13:23:11Z 2015-08-21T03:33:11Z 2019-12-06T13:23:11Z 2015 2015 Journal Article 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. 0098-1354 https://hdl.handle.net/10356/79350 http://hdl.handle.net/10220/38487 10.1016/j.compchemeng.2015.05.005 en Computers and chemical engineering © 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]. 44 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Yin, Xiaohong Li, Shaoyuan Cai, Wenjian Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system |
| title | Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system |
| title_full | Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system |
| title_fullStr | Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system |
| title_full_unstemmed | Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system |
| title_short | Enhanced-efficiency operating variables selection for vapor compression refrigeration cycle system |
| title_sort | enhanced efficiency operating variables selection for vapor compression refrigeration cycle system |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/79350 http://hdl.handle.net/10220/38487 |
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