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Guanfeng Zheng,Qingtai Xiao,Shusheng Zhu,Hua Wang,Jian Geng,Shuang Zhao,Junwei Huang 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.7
The relationship between heat transfer effect and influencing factors in direct contact with evaporator isstudied. It is important to optimize the design and setting of direct contact heat exchangers and further improve theheat transfer process of heat exchangers by understanding the influencing factors of direct contact evaporator. Themethods used are grey correlation analysis, variational mode decomposition and least square support vector machinealgorithm to calculate the experimental heat transfer coefficient. The conclusions are that grey relation analysis can findthe complex relationship between different influencing factors and reduce the amount of data to improve the accuracyof prediction. Hence, the novelty of this paper is to propose a simple, efficient and accurate hybrid prediction model forVHTC prediction. The place where it goes beyond previous efforts in the literature is that different influencing factorson the heat transfer performance in the direct contact heat transfer process are considered. The results show that theprediction accuracy of the heat transfer coefficient can be improved by 7% by optimizing the data only with grey correlationanalysis. The prediction accuracy can be improved up to 53% after using the hybrid model.
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