海水淡化和脱盐进程,以确保印尼PT INEOS芳香学中工艺和国内用水的数量和质量

Agus Supriyadi, Anis Masyruroh
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引用次数: 0

摘要

精对苯二甲酸(PTA)产能从50万吨/年提高到57.6万吨/年,导致需水量增加,需要对脱盐和脱矿装置进行工艺优化。本研究旨在发现如何进行海水淡化和脱矿优化过程,以确保PT INEOS Aromatics印度尼西亚的水的数量和质量。采用的研究方法是描述性定性的,通过文献研究、观察淡化和脱矿过程的优化、访谈和水样的实验室测试。研究结果表明:脱盐脱矿优化工艺成功,脱盐产水量为197吨/小时。生产工艺参数为电导率0.8µs/cm,铜(Cu2+) 0.005 ppm,硫酸盐(SO2-) 0 ppm,二氧化硅(SiO2-) 0 ppm,用于国内,即温度30.8℃,颜色9 TCU, pH 6.8 ppm,无臭,无味,硬度(CaCO3) 0 ppm,浊度0.05 NTU,总溶解固体(TDS) 0.8 ppm,亚硝酸盐(NO2-) 0 ppm,硝酸盐(NO-) 0.009 ppm,大肠杆菌0 CFU/100ml和总大肠菌群0 CFU/100ml。这些值符合阿莫科研究与发展和卫生部2017年第32号条例规定的质量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PROSES OPTIMASI DESALINASI DAN DEMINERALISASI UNTUK MENJAMIN KUANTITAS DAN KUALITAS AIR PROSES DAN DOMESTIK DI PT INEOS AROMATICS INDONESIA
Enhancement Purified Terephthalic Acid (PTA) production capacity from 500,000 tons/year to 576,000 tons/year resulted in increase of water demand, so an optimization process for desalination and demineralization units is needed. This research aims to find how the desalination and demineralization optimization process is carried out to ensure the quantity and quality of water at PT INEOS Aromatics Indonesia. The research method used is descriptive qualitative by conducting literature studies, observing the optimization of desalination and demineralization processes, interviews and laboratory testing of water samples. The result of this research is that the desalination and demineralization optimization process has been successfully, with quantity of desalt water product is 197 tons/hour. Parameters for the production process, namely conductivity 0.8 µs/cm, copper (Cu2+) 0.005 ppm, sulfate (SO2-) 0 ppm, silica (SiO2-) 0 ppm and for domestic, namely temperature 30.8 oC, color 9 TCU, pH 6.8 ppm, odorless, tasteless, hardness (CaCO3) 0 ppm, turbidity 0.05 NTU, total dissolved solids (TDS) 0.8 ppm, nitrit (NO2-) 0 ppm, nitrate (NO-) 0.009 ppm, escherichia coli 0 CFU/100ml and total coliform 0 CFU/100ml. These values meet the quality standards set by the Amoco Research and Development and Minister of Health Regulation Number 32 of 2017.  
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