Jessica, Jessica and Kartawiria, Irvan S. and Widiputri, Diah Indriani (2020) Diffusion Model Analysis in Spray Distillation of Bioethanol. Bachelor thesis, Swiss German University.

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Abstract

It has been proven that ethanol-water mixture can be separated by using spray distillation although several optimizations are necessary. This study aims for increase of condensate formation by modification of column height and number of spray according to feed concentration and rate respectively. The new column height was obtained by combining momentum balance model that has been modified with simultaneous change of droplet radius and concentration model to estimate required column height, spray number, distillate amount and concentration. It was found that the critical design parameters, which are the height and amount of spray installed, is very specific to the critical process parameters, which are feed concentration and rate respectively. The modelled equipment for feed concentration 15-70% v/v with feed rate 36-60 ml/min uses 6-10 sprays with a column height range of 0.20-0.55 m. The new model was tested with several variations of feed concentration, rate, and temperature and was proven that it can purify ethanol from 12-65% w/w (15-70% v/v) to 57-77% w/w (63-81% v/v) with ethanol yield of 60-98% from the feed. Although the outlet purity is inversely proportional to amount of distillate, the new column design ensures the production of an adequate amount of distillate while maintaining its purity.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Distillation, Separation, Ethanol-Water Separation, Droplet Evaporation, Mathematical Modeling
Subjects:	R Medicine > RS Pharmacy and materia medica > RS192 Pharmaceutical technology T Technology > TP Chemical technology > TP155 Chemical engineering
Divisions:	Faculty of Life Sciences and Technology > Department of Pharmaceutical Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	02 Nov 2020 13:48
Last Modified:	02 Nov 2020 13:48
URI:	http://repository.sgu.ac.id/id/eprint/1816

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