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首页> 外文期刊>Chemical Engineering Research Bulletin >Optimization of Energy Consumption in Acetic Acid and N-Butanol Esterification Reaction with Simultaneous Water Removal Using Novel Microcontroller Based Automated Reactor
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Optimization of Energy Consumption in Acetic Acid and N-Butanol Esterification Reaction with Simultaneous Water Removal Using Novel Microcontroller Based Automated Reactor

机译:基于新型微控制器的自动反应器同时除水优化乙酸和正丁醇酯化反应中的能耗

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This paper focuses on the optimization of energy consumption in esterification of acetic acid wherein the water removal is achieved by using silica gel desiccant in a microcontroller based automated reactor. Esterification reactions are endothermic hence, one can get more product, by increasing the temperature, thus disturbing the equilibrium. Heat of reaction (Hr) was estimated by using the heat capacity data and constants (C). Energy analysis and modelling was developed for the enhancement of process which is the key component of the systems. The mathematical model is validated by experimental results. In this paper, effect of parameters like desiccant weight, regeneration temperature and molar ratio on energy consumption are studied. Trends of energy effectiveness of several parameters are presented in the various regeneration temperatures and molar ratio and desiccant weight which confirmed the linear relationship with hot air flowrate. Decrease of 33% in power consumption was observed by decreasing the hot air flowrate by 10%.This is the conformity of validation of affinity law. The newly invented model was optimized for variables, hot air temperature, molar ratio and silica gel weight. The minimum energy consumption at 1 desirability was reported by software in the given range of parameters. When the hot air temperature, molar ratio and silica gel weight were 67.670C, 3 and 34.32 gm, then the minimum value of energy consumption was 29.59 Watt.
机译:本文致力于优化乙酸酯化过程中的能耗,其中通过在基于微控制器的自动反应器中使用硅胶干燥剂来实现除水。酯化反应是吸热的,因此,人们可以通过升高温度来获得更多产物,从而破坏平衡。利用热容量数据和常数(C)估算反应热(Hr)。能源分析和建模是为增强过程而开发的,过程是系统的关键组成部分。实验结果验证了该数学模型的正确性。本文研究了干燥剂重量,再生温度,摩尔比等参数对能耗的影响。在不同的再生温度,摩尔比和干燥剂重量下,几个参数的能量效率趋势都得到了证实,这证实了与热空气流量的线性关系。通过将热空气流量减少10%可以观察到功耗降低了33%,这与亲和力定律的验证一致。新发明的模型针对变量,热风温度,摩尔比和硅胶重量进行了优化。在给定的参数范围内,软件报告了1种合乎要求的最低能耗。当热空气温度,摩尔比和硅胶重量为67.670℃,3和34.32gm时,能量消耗的最小值为29.59瓦。

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