INDOOR TEMPERATURE CONTROL AND ENERGY SAVING POTENTIAL OF SPLIT- TYPE AIR CONDITIONING SYSTEM USING FUZZY LOGIC CONTROLLER
DOI:
https://doi.org/10.11113/jt.v78.9589Keywords:
Air conditioning, variable speed, fuzzy logic controller, energy efficiencyAbstract
Variable speed compressor (VSC) offers a wider range of cooling capacity control according to the cooling load of the system. The on/off controller consumes larger energy as the compressor is always working at maximum speed despites the cooling load and continuously on and off to prevent from over cool the room. This study focused on the implementation of VSC to increase energy efficiency with better temperature control inside the room for split unit air conditioning system. The experiments are done at room temperature of 23 and 24oC with internal heat load of 500 and 1000 W. The proposed system indicates as much 37% of energy saving as compared to on/off controllerReferences
Nasution, H. 2006. Energy Saving of an Air Conditioning System using PID and Fuzzy Logic Controllers. Universiti Teknologi Malaysia, Malaysia.
Nasution, H., Jamaluddin, H. and Syeriff, J. M. 2011. Energy Analysis for Air Conditioning System using Fuzzy Logic Controller. Telkomnika. 9: 139-150.
Abidin, N. Z. 1995. Retrofitting of Compressor Motor in Air Conditioning Systems for Energy Saving. Universiti Teknologi Malaysia, Malaysia.
Park, Y. C., Kim, Y. C. and Min, M. K. 2001. Performance Analysis on a Multi-Type Inverter Air Conditioner. Energy Conversion & Management. 42: 1607-1621.
Zhang, J., Qin, G., Xu, B., Hu, H. and Chen, Z. 2010. Study on Automotive Air Conditioner Control System Based on Incremental-PID. Advanced Material Research. 129: 17-22.
Khayyam, H., Kouzani, A. Z., Hu, E. J. and Nahavandi, S. 2011. Coordinated Energy Management of Vehicle Air Conditioning System. Applied Thermal Engineering. 31: 750-764.
Khayyam, H., Kouzani A. Z. and Hu, E. J. 2009. Reducing Energy Consumption of Vehicle Air Conditioning System by an Energy Management System. IEEE The 4th International Green Energy Conference. Beijing.
Sousa, J. M., Babuska, R. and Verbruggen, H. B. 1997. Fuzzy Predictive Control Applied to Air-Conditioning System. Control Engineering Practice. 5: 1395-1406.
Calvino, F., Gennusa, M., Roizzo, G. and Scaccianoce, G. 2004. The Control of Indoor Thermal Comfort Conditions: Introducing a Fuzzy Adaptive Controller. Energy and Buildings. 36: 97-102.
Thompson R. and Dexter, A. 2005. A Fuzzy Decision-Making Approach to Temperature Control in Air-Conditioning Systems. Control Engineering Practice. 13: 689-698.
Farzaneh, Y. and Tootoonchi, A. A. 2008. Controlling Automobile Thermal Comfort using Optimized Fuzzy Controller. Applied Thermal Engineering. 28: 1906-1917.
Khayyam, H., Nahavandi, S., Eric, H., Kouzani, A., Chonka, A., Abawajy, J., Marano, V. and Sam, D. 2011. Intelligent Energy Management Control of Vehicle Air Conditioning via Look-Ahead System. Applied Thermal Engineering. 31: 3147-3160.
Nasution H. and Hassan, M. N. W. 2006. Potential Electricity Savings by Variable Speed Control of Compressor for Air Conditioning Systems. Clean Technologies and Environmental Policy. 8: 105-111.
Davis, L. I., Sieja, T. F., Matteson, R. W., Dage, G. A. and Ames, R. 1994. Fuzzy logic for Vehicle Climate Control, in: Fuzzy Systems. IEEE World Congress on Computational Intelligence. Orlando. 530-534.
Henry N., Dahlan, A. A., Nasib, A. M., Aziz, A. A. and Sumeru. 2015. Performance of a Variable Speed of the Split Unit Air Conditioning System using Fuzzy Logic Controller. Lecture Notes in Engineering and Computer Science: Proceedings of the International MultiConference of Engineers and Computer Scientists 2015. Hong Kong. 253-257.
Pasino, K. M. and Yurkovich, S. 1998. Fuzzy Control. Addison Wesley, United State of America.
Dounis, A. I. and Manolakis, D. E. 2001. Design of a Fuzzy System for Living Space Thermal Comfort Regulation. Applied Energy. 69: 119-144.
Bagis, A. 2003. Determining Fuzzy Membership Functions With Tabu Search-An Application to Control. Fuzzy Sets and Systems. 139: 209-225.
Kolokotsa, D., Tsiavos, D., Stavrakakis, G. S., Kalaitzakis, K. and Antonidakis, E. 2001. Advanced Fuzzy Logic Controllers Design and Evaluation for Buildings’ Occupants Thermal Visual Comfort and Indoor Air Quality Satisfaction. Energy and Buildings. 33: 531-543.
Eker, I. and Torun, Y. 2006. Fuzzy Logic Control to be Conventional Method. Energy Conversion & Management. 47: 377-394.
Wan, X. and Fan, J. 2008. A Transient Thermal Model of the Human Body–Clothing–Environment System. Journal of Thermal Biology. 33: 87-97.
Zhou, Y. P., Wu, J. Y., Wang, R. Z. and Shiochi, S. 2007. Energy Simulation in the Variable Refrigerant Flow Air Conditioning System under Cooling Conditions. Energy and Buildings. 39: 212-222.
Murakami, M., Terano, M., Mizutani, K., Harada, M. and Kuno, S. 2007. Fields Experiments on Energy Consumption and Thermal Comfort in the Office Environment Controlled by Occupants Requirements. Building and Environment. 42: 4022-4027.
Ahmed, S. S., Majid, M. S., Novia, H. and Rahman, H. A. 2007. Fuzzy Logic Based Energy Saving Technique for a Central Air Conditioning System. Energy. 32: 1222-1234.
Abidin, N. Z. 1995. Retrofitting of Compressor Motor in Air Conditioning System for Energy Saving. Universiti Teknologi Malaysia, Malaysia.
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