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Research on Fuzzy Regulation Strategies in the Constant Air Volume Air Conditioning System

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dc.creator Bai, T. en_US
dc.creator Zhang, J. en_US
dc.creator Ning, N. en_US
dc.creator Tong, K. en_US
dc.creator Wu, Y. en_US
dc.creator Wang, H. en_US
dc.date.accessioned 2007-05-07T20:44:38Z
dc.date.available 2007-05-07T20:44:38Z
dc.date.issued 2006 en_US
dc.identifier.other ESL-IC-06-11-145 en_US
dc.identifier.uri http://hdl.handle.net/1969.1/5288
dc.description.abstract The energy consumption of the constant air volume (CAV) system largely depends on the regulation strategies. Although some air conditioning systems are equipped with automatic regulation devices, others lack effective regulation strategies. To avoid wasting energy and presenting simple regulation methods, fuzzy regulation strategies for CAV systems are studied in this research. A CAV system of an office building is modeled and simulated with the Designer's Simulation Toolkit (DeST). The operating parameters are calculated based on the instantaneous load obtained from simulation. The operation of the system is divided into five stages according to different conception of “cold” or “hot” in different seasons. The relationship between the outdoor air temperature and the fresh air volume, and the supply air temperature is presented in the form of fuzzy rules. Then the building is simulated under different load conditions and the operating parameters are obtained from fuzzy reasoning. Finally, the effect of fuzzy strategies on energy consumption is analyzed and compared with the effects of the operating parameters obtained from simulation. The results show that energy consumption using a fuzzy regulation strategy is close to the energy consumption of knowing the exact load of the building, while the fuzzy regulation strategy can largely simplify the regulation of the air conditioning system. en_US
dc.format.extent 94544 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher Energy Systems Laboratory (http://esl.tamu.edu) en_US
dc.publisher Texas A&M University (http://www.tamu.edu) en_US
dc.subject constant air volume en_US
dc.subject fresh air volume en_US
dc.subject supply air temperature en_US
dc.subject fuzzy en_US
dc.subject regulation strategy en_US
dc.title Research on Fuzzy Regulation Strategies in the Constant Air Volume Air Conditioning System en_US

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