بهینه‌سازی و مدلسازی چند متغیری تصفیه پساب روغنی پالایشگاه گاز با استفاده از کربن فعال به‌عنوان یک جاذب با توان عملیاتی بالا
محورهای موضوعی : برگرفته از پایان نامه
حامد باقری
1
,
بیژن هنرور
2
,
نادیا اسفندیاری
3
,
زهرا عرب ابوسعدی
4
1 - دانشجوی دکتری گروه مهندسی شیمی، واحد مرودشت، دانشگاه آزاد اسلامی مرودشت، مرودشت، ایران
2 - دانشیار گروه مهندسی شیمی، واحد مرودشت، دانشگاه آزاد اسلامی مرودشت، مرودشت، ایران
3 - دانشیار گروه مهندسی شیمی، واحد مرودشت، دانشگاه آزاد اسلامی مرودشت، مرودشت، ایران
4 - دانشیار گروه مهندسی شیمی، واحد مرودشت، دانشگاه آزاد اسلامی مرودشت، مرودشت، ایران
کلید واژه: کربن فعال, روش سطح پاسخ, فاضلاب پالایشگاه‌های گاز, بهینه سازی چند متغیره,
چکیده مقاله :
مقدمه: روش‌های پایه جذب برای تصفیه پساب‌های نفتی شناخته‌شده، باصرفه اقتصادی و پربازده هستند. بااین‌حال، برای دستیابی به فرآیند تصفیه پربازده، فرآیند جذب باید بهینه شود. روش سطح پاسخ یک روش مناسب به دلیل بررسی برهم‌کنش‌های پارامترها، کاهش تعداد آزمایشات، و نتیجتاً با صرفه جویی در زمان و هزینه، می‌باشد.
روش: سطح ویژه جاذب به عنوان یکی از مهم‌ترین عواملی که بر بازده جذب تأثیر می‌گذارد، توسط BET&BJH محاسبه شد و سطح ویژه‌ای به اندازه 897 مترمربع بر گرم را برای جاذب نشان داد. عوامل موثر بر حذف COD شامل دوز جاذب، زمان تصفیه، دما و pH با بهینه‌سازی چند متغیری با استفاده از نرم‌افزار طراحی آزمایش Design-Expert با روش سطح پاسخ (21 اجرا) برای دو نوع پساب پالایشگاه گاز بهینه شد.
یافته‌ها: روش حذف COD به ترتیب بازده معادل 93 درصد و 87 درصد برای پساب جمع آوری شده از خروجی و ورودی حوضچه API را نشان داد. علاوه بر این، مطالعات سینتیکی برای هر دو پساب جمع‌آوری‌شده انجام شد، که نشان داد فرآیند جذب از سینتیک مرتبه اول برای حذف COD از پساب ورودی حوضچه API و مدل مرتبه صفر برای حذف COD از خروجی حوضچه API پیروی می‌کند.
نتیجه گیری: فرآیند توسعه‌یافته پتانسیل بسیار خوبی برای تصفیه فاضلاب واقعی پالایشگاه گاز نشان داد، از این رو، نویسندگان استفاده از آن را برای این هدف در مقیاس بزرگ موکداً توصیه می‌کند
Introduction: Recently, adsorption-based wastewater treatment had been utilized as a cost-effective, high-throughput, and efficient method. It is reported that to reach an efficient treatment process, the adsorption process should be optimized by a reliable optimization process. In this regard, the response surface method (RSM) is a high throughput approach due to evaluating factors interactions and reducing the number of experimental runs, as well as, time- and cost-saving.
Methods: Multivariate optimization and modeling of gas refinery wastewater treatment were performed by utilizing activated carbon (AC) as a high throughput adsorbent through an adsorption mechanism. The AC was characterized by SEM, FT-IR, and XRD analysis. The specific surface area of AC as one of the most important factors that affect the adsorption yield was calculated by BET&BJH as high as 897 m2 g-1. The factors affecting the removal yield including adsorbent amount, treatment time, temperature, and pH were optimized by multivariate optimization upon a response surface method (21 runs) for two types of wastewaters of gas refineries using Design-Expert software.
Findings: At optimal experimental conditions, the method revealed an %COD removal of 93.0% and 87.0% for output and input wastewater API gravity pool, in turn. Besides, the kinetic studies were performed for both output and input wastewaters, revealing that the adsorption process followed the intraparticle diffusion kinetics for the COD removal from both output and input wastewaters API gravity pool.
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