喷雾干燥比能耗模型仿真与参数分析
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摘要
喷雾干燥制粉是陶瓷生产过程中的一个高耗能单元,因其涉及的变量较多且相互耦合,在生产中难以合理调节生产参数而造成能源浪费。为了在减少总能耗的同时提高单位能效,基于焓平衡与热量衡算,建立可反映喷雾干燥过程能效的比能耗模型,分析输入参数与干燥能效的关系;再使用Sobol'全局敏感性分析算法,将生产参数对干燥能耗和比能耗的影响程度量化为敏感性指数。试验分析验证了模型的准确性。结果显示,料液含水率对总能耗的影响最大,出口温度与料液含水率对生产能效有很强影响。
Spray drying process is a high energy consumption unit in the ceramic production process,which involves many variables coupled with each other,making it is difficult to reasonably regulate the production parameters and causes energy waste. In order to reduce the total energy consumption while improving the energy efficiency,based on the enthalpy balance and heat balance,a energy consumption model which can reflect the energy efficiency of the spray drying process was established,and the relationship between the input parameters and the drying energy efficiency was analyzed. Using the Sobol 's global sensitivity analysis algorithm,the influence of production parameters on dry energy consumption and specific energy consumption was quantified as a sensitivity index. The experimental analysis validates the accuracy of the model. The results show that raw material moisture content has a decisive influence on the total energy consumption,meanwhile,outlet air temperature and raw material moisture content have a great influence on the energy efficiency.
Spray drying process is a high energy consumption unit in the ceramic production process,which involves many variables coupled with each other,making it is difficult to reasonably regulate the production parameters and causes energy waste. In order to reduce the total energy consumption while improving the energy efficiency,based on the enthalpy balance and heat balance,a energy consumption model which can reflect the energy efficiency of the spray drying process was established,and the relationship between the input parameters and the drying energy efficiency was analyzed. Using the Sobol 's global sensitivity analysis algorithm,the influence of production parameters on dry energy consumption and specific energy consumption was quantified as a sensitivity index. The experimental analysis validates the accuracy of the model. The results show that raw material moisture content has a decisive influence on the total energy consumption,meanwhile,outlet air temperature and raw material moisture content have a great influence on the energy efficiency.
引文
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[9]王宝和,王喜忠.喷雾干燥过程的两种热量衡算方法[J].干燥技术与设备,2011,9(2):76-81.
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[14]蔡毅,邢岩,胡丹.敏感性分析综述[J].北京师范大学学报(自然科学版),2008,44(1):1-1.
[15] L M. Sobol'. Global sensitivity indices for nonlinear mathematical models and their Monte Carloestimates[J]. Mathematics and Computers in Simulation,2001,55:271-280.
[2]谢奇珍,等.节能技术在农产品干燥过程中的应用研究[J].食品科技,2008,33(7):120-124.
[3]叶灿滔,罗佩.陶瓷工业喷雾干燥塔节能技术工程应用与经济性分析[J].中国陶瓷,2009.
[4]罗金莲,黄凤,罗雄威.喷雾干燥能耗影响因素探讨[J].石油化工设计,2015.
[5]曾令可,等.陶瓷工业能耗的现状及节能技术措施[J].陶瓷学报,2006,27(1):109-115.
[6] K Khuenpet,et al. Investigation of suitable spray drying conditions for sugarcane juice powder production with an energy consumption study[J]. Agriculture&Natural Resources,2016,50(2):139-145.
[7] J C Atuonwu,A G F Stapley. Reducing energy consumption in spray drying by monodisperse droplet generation:modelling and simulation[J]. Energy Procedia,2017,123:235–242.
[8]高光华,童景山.化工热力学(第2版[M].北京:清华大学出版社,2007.
[9]王宝和,王喜忠.喷雾干燥过程的两种热量衡算方法[J].干燥技术与设备,2011,9(2):76-81.
[10]王喜忠,于才渊,周才君.喷雾干燥(第二版)[M].北京:化学工业出版社,2003.
[11] V M Cabalda,J F Kennedy. Spray drying handbook[J]. Carbohydrate Polymers,1991,15(3):344-345.
[12] T W Hwang,S Malkin. Upper bound analysis for specific energy in grinding of ceramics[J]. Wear,1999,231(2):161-171.
[13] T W Hwang,C J Evans,S Malkin. Size effect for specific energy in grinding of silicon nitride[J]. Wear,1999,225(4):862-867.
[14]蔡毅,邢岩,胡丹.敏感性分析综述[J].北京师范大学学报(自然科学版),2008,44(1):1-1.
[15] L M. Sobol'. Global sensitivity indices for nonlinear mathematical models and their Monte Carloestimates[J]. Mathematics and Computers in Simulation,2001,55:271-280.