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...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/79350 http://hdl.handle.net/10220/38487 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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