摘要
This paper presented an entropy evaluation method for the influences of condense heat recovery system on the environment.Aiming at the damage of the condense heat to the environment,an entropy of resource loss and an emission entropy from the condense heat recovery system in the air conditioning refrigerating machine were introduced.For the evaluation of the entropies,we developed a new algorithm for the parameter identification,called the composite influence coefficient,based on the Least Squares Support Vector Machine method.By simulation,the numerical experiments shows that the Least Squares Support Vector Machine method is one of the powerful methods for the parameter identification to compute the damage entropy of the condense heat,with the largest training error being-0.025(the relative error being-3.56%),and the biggest test error being 0.015(the relative error being 2.5%).
This paper presented an entropy evaluation method for the influences of condense heat recovery system on the environment.Aiming at the damage of the condense heat to the environment,an entropy of resource loss and an emission entropy from the condense heat recovery system in the air conditioning refrigerating machine were introduced.For the evaluation of the entropies,we developed a new algorithm for the parameter identification,called the composite influence coefficient,based on the Least Squares Support Vector Machine method.By simulation,the numerical experiments shows that the Least Squares Support Vector Machine method is one of the powerful methods for the parameter identification to compute the damage entropy of the condense heat,with the largest training error being-0.025(the relative error being-3.56%),and the biggest test error being 0.015(the relative error being 2.5%).
作者
TANG Wen-wu1,2,WANG Han-qing1,2(1.School of Energy Science and Engineering,Central South University,Changsha,Hunan 410083,China
2.School of Civil Engineering,Hunan University of Technology,Zhuzhou,Hunan 412008,China)
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第S1期96-101,共6页
Journal of Hunan University:Natural Sciences
基金
Supported by Program of Science and Technology of Hunan Province(2007FJ2006)
Project the Program of Science and Tech-nology of Hunan Province(2007TP4030)
Hunan Provincial Natural Science Foundation of China(08JJ3093)