THERMAL SCIENCE

International Scientific Journal

EXPERIMENTAL ANALYSIS OF FUZZY CONTROLLED ENERGY EFFICIENT DEMAND CONTROLLED VENTILATION ECONOMIZER CYCLE VARIABLE AIR VOLUME AIR CONDITIONING SYSTEM

ABSTRACT
In the quest for energy conservative building design, there is now a great opportunity for a flexible and sophisticated air conditioning system capable of addressing better thermal comfort, indoor air quality, and energy efficiency, that are strongly desired. The variable refrigerant volume air conditioning system provides considerable energy savings, cost effectiveness and reduced space requirements. Applications of intelligent control like fuzzy logic controller, especially adapted to variable air volume air conditioning systems, have drawn more interest in recent years than classical control systems. An experimental analysis was performed to investigate the inherent operational characteristics of the combined variable refrigerant volume and variable air volume air conditioning systems under fixed ventilation, demand controlled ventilation, and combined demand controlled ventilation and economizer cycle techniques for two seasonal conditions. The test results of the variable refrigerant volume and variable air volume air conditioning system for each techniques are presented. The test results infer that the system controlled by fuzzy logic methodology and operated under the CO2 based mechanical ventilation scheme, effectively yields 37% and 56% per day of average energy-saving in summer and winter conditions, respectively. Based on the experimental results, the fuzzy based combined system can be considered to be an alternative energy efficient air conditioning scheme, having significant energy-saving potential compared to the conventional constant air volume air conditioning system.
KEYWORDS
PAPER SUBMITTED: 2007-03-30
PAPER REVISED: 2008-01-16
PAPER ACCEPTED: 2008-05-02
DOI REFERENCE: https://doi.org/10.2298/TSCI0803015R
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2008, VOLUME 12, ISSUE Issue 3, PAGES [15 - 32]
REFERENCES
  1. Zhou, Y. P., et al., Energy Simulation in the Variable Refrigerant Flow Air-Conditioning System under Cooling Conditions, Energy and Buildings, 39 (2006), 2, pp. 212-220
  2. Georges, B., et al., Experimental Analysis of the Performances of Variable Refrigerant Flow Systems, Building Service Engineering Research Technology, 25 (2004), 1, pp. 17-23
  3. Brodrick, J., Roth., K. W., Goetzler., W., Variable Flow and Volume Refrigerant System, ASHRAE Journal, 46 (2004), 1, S164-S165
  4. Wu Chen, Shiming Deng, Development of a Dynamic Model for a DX VAV Air Conditioning System, Energy Conversion and Management, 47 (2006), 18-19, pp. 2900-2924
  5. Yiqun Pan, et al., Measurement and Simulation of Indoor Air Quality and Energy Consumption in Two Shanghai Office Buildings with Variable Air Volume Systems, Energy and Buildings, 35 (2003), 9, pp. 877-891
  6. Engdahl, F., Svensson, A., Pressure Controlled Variable Air Volume System, Energy and Buildings, 35 (2003), 11, pp. 1161-1172
  7. Ozawa, K., et al., A Tuning Method for PID Controller Using Optimization Subject to Constraints on Control Input, ASHRAE Transactions, 109 (2003), 2, pp. 4638
  8. Englander, S. L., Norford, L. K., Saving Fan Energy in VAV systems - Part 1: Analysis of a Variable-Speed-Drive Retrofit, ASHRAE Transactions, 98 (1992), 1, pp. 3-18
  9. Englander, S. L., Norford, L. K., Saving Fan Energy in VAV Systems - Part 2: Supply Fan Control for Static Pressure Minimization Using DDC Zone Feedback, ASHRAE Transactions, 98 (1992), 1, pp. 19-30
  10. Lorenzetti, D. M., Norford, L. K., Measured Energy Consumption of Variable-Air-Volume Fans under Inlet Vane and Variable-Speed-Drive Control, ASHRAE Transactions, 98 (1992), 2, pp. 371-379
  11. Wen Zhen, Huang., Zaheeruddin, M., Cho, S. H., Dynamic Simulation of Energy Management Control Functions for HVAC Systems in Buildings, Energy Conversion and Management, 47 (2006), 7-8, pp. 926-943
  12. Xinqiao Jin, Haigang Ren, Xiaokun Xiao, Prediction-Based Online Optimal Control of Outdoor Air of Multi-Zone VAV Air-Conditioning Systems, Energy and Buildings, 37 (2005), 9, pp. 939-944
  13. Henry Nasution, Mat Nawi Wan Hassan., Potential Electricity Savings by Variable Speed Control of Compressor for Air Conditioning Systems, Clean Techn Environ Policy, 8 (2006), 2, pp. 105-111
  14. Shuangquan Shao, et al., Performance Representation of Variable-Speed Compressor for Inverter Air Conditioners Based on Experimental Data, International Journal of Refrigeration, 27 (2004), 8, pp. 805-815
  15. Xuquan, Li, et al., A New Method for Controlling Refrigerant Flow in Automobile Air Conditioning, Applied Thermal Engineering, 24 (2004), 7, pp. 1073-1085
  16. Alcala, R., et al., A Genetic Rule weighting and Selection Process for Fuzzy Control of Heating, Ventilation and Air Conditioning Systems, Engineering Applications of Artificial Intelligence, 18 (2005), 3, pp. 279-296
  17. Cheung, J. Y. M., Kamal, A. S., Fuzzy Logic Control of Refrigerant Flow, Proceedings (Conf. Publ. No. 427), Control '96, UKACC International Conference, Exeter, UK, 1996, pp. 2-5
  18. Jung Ho Kim, et al., An Application of Fuzzy Logic to Control the Refrigerant Distribution for the Multi Type Air Conditioner, Proceedings, International Fuzzy Systems Conference, Seoul, 1999, pp. 22-25
  19. Aprea, C., Mastrullo, R., Renno, C., Fuzzy Control of the Compressor Speed in a Refrigeration Plant, International Journal of Refrigeration, 27 (2004), 6, pp. 639-648
  20. Chen Wu., Zhou Xingxi., Deng Shiming., Development of Control Method and Dynamic Model for Multi-Evaporator Air Conditioners (MEAC), Energy Conversion and Management, 46 (2005), 3, pp. 451-465.
  21. Sozen., A., et al., Performance Prediction of a Vapour-Compression Heat-Pump, Applied Energy, 79 (2004), 3, pp. 327-344
  22. Dern., C. D., Electronic Expansion Valves, ASHRAE Journal, 47 (2005), 3, pp. 88-89
  23. Zhang, C., et al., Experimental Analysis of R22 and R407c Flow through Electronic Expansion Valve, Energy Conversion and Management, 47 (2006), 5, pp. 529-544
  24. ***, ASHRAE., ASHRAE Handbook Fundamentals., Atlanta, GA, ASHRAE Inc, 1990
  25. ***, Fuzzy Logic Toolbox, For Use with MATLAB, www.mathworks.com

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence