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مطالعه فرایندی تولید پلی پروپیلن با به‌کارگیری فرایند تحلیل سلسله‌مراتبی: شبیه‌سازی و بهینه‌سازی فرایند

نوع مقاله : پژوهشی

نویسندگان
اسداله کریمی 1
علیرضا کاویانی 2
1 دانشیار مهندسی شیمی، دانشگاه مراغه، ایران
2 دانشجوی کارشناسی مهندسی شیمی، دانشگاه مراغه، ایران
10.22034/farayandno.2024.2034309.1965
چکیده
در این مطالعه، از فرایند تحلیل سلسله مراتبی (AHP) برای بررسی مزایا و معایب راکتورهای تولید  محصول پلی ­پروپیلن به عنوان قلب فرایند، استفاده شد. براساس روش AHP، پنج معیار برای این فرآیند و سه گزینه در نظر گرفته شد، پس از این مرحله فرایند تولید پلی­ پروپیلن شبیه ­سازی شده و در نهایت شرایط عملیاتی بهینه سازی شد. راکتور لوله­ای به عنوان گزینه با ارجحیت بالا و هزینه به عنوان معیار فرایند به ترتیب با 38 درصد و 25 درصد به عنوان بالاترین اولویت معرفی شدند. درصد خروجی پلیمر از راکتور و کاهش هزینه ­های عملیاتی به عنوان توابع هدف این فرایند انتخاب شدند. نتایج بهینه ‏سازی نشان داد که بهترین دمای گاز خوراک و شدت جریان جرمی ورودی به ترتیب 78 درجه سانتی‏گراد و 5000 کیلوگرم بر ساعت است. همچنین با کاهش هزینه ای عملیاتی به عنوان تابع هدف در نقطه بهینه می ­توان تا 78102 دلار در سال صرفه ­جویی انرژی داشت.
کلیدواژه‌ها
راکتور لوله ای
نرم ‏افزار Aspen Plus Polymer
فرایند تحلیل سلسله‌مراتبی
نرم ‏افزارExpert Choice

موضوعات

عنوان مقاله English

Study of the Polypropylene Production Via the Hierarchical Analysis Process: Simulation and Optimization of the Process

نویسندگان English

Asadollah Karimi 1
Alireza Kaviani 2
1 Associate Professor, University of Maragheh, Iran
2 B. Sc student of Chemical Engineering, University of Maragheh, Iran
چکیده English

This work employed the Analytical Hierarchy Process (AHP) to investigate the advantages and disadvantages of polypropylene production reactors. Five criteria were considered for this process, and three alternatives were evaluated based on the AHP method. Then, the polypropylene production process was simulated and, ultimately, the operational conditions were optimized. The tubular reactor was identified as the highest priority alternative, and cost was the highest priority criterion in the process, with 38% and 25%, respectively. The percentage of polymer yield from the reactor and the reduction of operational costs were chosen as the objective functions of this process. The optimization results showed that the best feed gas temperature and mass flow rates were 78 degrees Celsius and 5000 Kilograms per hour, respectively. Additionally, by reducing operational costs as an objective function at the optimal point, energy savings of up to 78102 dollars per year can be achieved.

کلیدواژه‌ها English

Tublar Reactor
Expert Choice Software
Aspen Plus Software
Analytical Hierarchy process
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