Model-based Fuzzy Control of Air-Conditioning Systems using Air Bypass for Optimized Dehumidification

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.814 ◽

2017 ◽

Vol 50 (1) ◽

pp. 4203-4208 ◽

Author(s):

Nico Goldschmidt ◽

Horst Schulte

Keyword(s):

Fuzzy Control ◽

Air Conditioning ◽

Model Based ◽

Air Conditioning Systems

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Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems

Advances in Applied Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11779568_49 ◽

2006 ◽

pp. 452-461

Author(s):

R. Alcalá ◽

J. Alcalá-Fdez ◽

F. J. Berlanga ◽

M. J. Gacto ◽

F. Herrera

Keyword(s):

Fuzzy Control ◽

Air Conditioning ◽

Rule Selection ◽

Selection For ◽

Air Conditioning Systems

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Building thermal load management through integration of solar assisted absorption and desiccant air conditioning systems: A model-based simulation-optimization approach

Journal of Building Engineering ◽

10.1016/j.jobe.2020.101279 ◽

2020 ◽

Vol 30 ◽

pp. 101279 ◽

Author(s):

Muhammad Farhan Habib ◽

Muzaffar Ali ◽

Nadeem Ahmed Sheikh ◽

Abdul Waheed Badar ◽

Sajid Mehmood

Keyword(s):

Thermal Load ◽

Air Conditioning ◽

Simulation Optimization ◽

Load Management ◽

Optimization Approach ◽

Model Based ◽

Air Conditioning Systems

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Load forecast and fuzzy control of the air-conditioning systems at the subway stations

Journal of Building Engineering ◽

10.1016/j.jobe.2022.104029 ◽

2022 ◽

pp. 104029

Author(s):

Haiquan Bi ◽

Yuanlong Zhou ◽

Jin Liu ◽

Honglin Wang ◽

Tao Yu

Keyword(s):

Fuzzy Control ◽

Air Conditioning ◽

Load Forecast ◽

Subway Stations ◽

Air Conditioning Systems

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Adaptive regression model-based real-time optimal control of central air-conditioning systems

Applied Energy ◽

10.1016/j.apenergy.2020.115427 ◽

2020 ◽

Vol 276 ◽

pp. 115427 ◽

Author(s):

Syed Asad Hussain ◽

Gongsheng Huang ◽

Richard Kwok Kit Yuen ◽

Wei Wang

Keyword(s):

Optimal Control ◽

Regression Model ◽

Real Time ◽

Air Conditioning ◽

Time Optimal Control ◽

Model Based ◽

Time Optimal ◽

Central Air Conditioning ◽

Adaptive Regression ◽

Air Conditioning Systems

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Fault Diagnosis in Air-Conditioning Systems: A Multi-Step Fuzzy Model-Based Approach

HVAC&R Research ◽

10.1080/10789669.2001.10391431 ◽

2001 ◽

Vol 7 (1) ◽

pp. 83-102 ◽

Author(s):

A. L. Dexter ◽

D. Ngo

Keyword(s):

Fault Diagnosis ◽

Air Conditioning ◽

Fuzzy Model ◽

Model Based ◽

Air Conditioning Systems

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A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2004.09.007 ◽

2005 ◽

Vol 18 (3) ◽

pp. 279-296 ◽

Author(s):

Rafael Alcalá ◽

Jorge Casillas ◽

Oscar Cordón ◽

Antonio González ◽

Francisco Herrera

Keyword(s):

Fuzzy Control ◽

Air Conditioning ◽

Selection Process ◽

Air Conditioning Systems

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A model-based optimal ventilation control strategy of multi-zone VAV air-conditioning systems

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2008.02.017 ◽

2009 ◽

Vol 29 (1) ◽

pp. 91-104 ◽

Author(s):

Xinhua Xu ◽

Shengwei Wang ◽

Zhongwei Sun ◽

Fu Xiao

Keyword(s):

Control Strategy ◽

Air Conditioning ◽

Ventilation Control ◽

Model Based ◽

Air Conditioning Systems

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Model based sensor system for temperature measurement in R744 air conditioning systems

2008 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS ◽

10.1109/dtip.2008.4752977 ◽

2008 ◽

Author(s):

Sven Reitz ◽

Andrews Schroth ◽

Peter Schneider

Keyword(s):

Temperature Measurement ◽

Air Conditioning ◽

Sensor System ◽

Model Based ◽

Air Conditioning Systems

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A model-based control of CO2 concentration in multi-zone ACB air-conditioning systems

2016 12th IEEE International Conference on Control and Automation (ICCA) ◽

10.1109/icca.2016.7505321 ◽

2016 ◽

Author(s):

Haijing Wang ◽

Lihua Xie ◽

Shuai Liu ◽

Juanjuan Xu

Keyword(s):

Air Conditioning ◽

Co2 Concentration ◽

Model Based Control ◽

Model Based ◽

Air Conditioning Systems

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Thermoeconomic Analysis of Air Conditioning Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.875-877.1748 ◽

2014 ◽

Vol 875-877 ◽

pp. 1748-1753 ◽

Author(s):

Wei Liang Cheng ◽

Hui Ji ◽

An Di

Keyword(s):

Experimental Data ◽

Air Conditioning ◽

Performance Enhancement ◽

Evaluation Model ◽

Air Conditioning System ◽

Model Based ◽

Operation Costs ◽

And Performance ◽

Air Conditioning Systems

In order to decrease the operation costs of air conditioning systems, an evaluation model based on unit thermoeconomic costs of thermoeconomic theory is presented in this paper. By using real components and fictitious components in an air conditioning system, the relationships between the fuel and product are established, and then the operation performances of the air conditioning system can be analyzed and evaluated. The unit thermoeconomic costs can be obtained with the experimental data. The results show that the unit thermoeconomic cost of the system is the lowest when the vaporizing temperature is at 16.3°C, and the unit thermoeconomic cost of the compressor component is the highest. Therefore, the direction and emphases of the technique improvement and performance enhancement are provided.

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