0% Complete
صفحه اصلی
/
نهمین کنفرانس بین المللی فناوری و مدیریت انرژی
Presenting cascade pressure swing distillation for separation of minimum boiling azeotropic mixtures to reduce energy consumption
نویسندگان :
Aida Azemati
1
Negar Safaran
2
Mohammd mahdi Amiri
3
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه علوم تحقیقات
کلمات کلیدی :
azeotrope،pressure swing distillation،heat integration،cascade
چکیده :
Isobutyl acetate is produced from the esterification of isobutyl alcohol. It has several applications in the chemical industry. However, the problem is that these two substances together form an azeotrope and cannot be separated by normal distillation. pressure swing distillation is an appropriate process for separating these two substances. However, its energy consumption is very high and its thermal integration is mandatory. In this article, two methods of feed splitting and cascade are used for the heat integration of the pressure swing distillation process. The results showed that both methods reduced the energy consumption of the process by 17% and 62%, respectively. However, the cascade method performed better. The most significant reason was the removal of the high-pressure tower condenser and the removal of the low-pressure tower re-boiler. Additionally, the cascade method requires two towers at two different pressures, and the periodic pressure distillation process inherently meets these requirements. Thus, the cascade method can significantly reduce the energy consumption of the periodic pressure distillation process without adding equipment and capital cost.
لیست مقالات
لیست مقالات بایگانی شده
Steam consumption prediction in a tire factory using machine learning approaches
Ali Foadaddini - Hamid Saadatfar - Edris HosseiniGol - Matin HosseinPour - Mahtab Aminzadeh
بررسی مقایسه ای مدل های هوش مصنوعی در پیش بینی تابش در سیستم های خورشیدی
علی رفیعی - حمیدرضا ایزدفر
Wind Farm Power Prediction with Transformer Encoder
Elman Ghazaei - Omid Feizi - Amir A. Ghavifekr - Mina Salim - Armin Hassanzadeh
Assessment of Cyber Security in the Renewable Electricity Market Considering System Reliability Using Machine Learning
Daryoush Tavangar Rizi - Mohammad Hassan Nazari - Maryam Fani - Seyed Hossein Hosseinian
Multi-Agent Reinforcement Learning for Providing Flexibility Services in Local Energy Communities
Soheil Afzali - Mohammad Hosein Alizadeh - Reza Zamani - Mohsen Parsa Moghaddam
بهبود عملکرد حرارتی دستگاه ذخیرهساز حرارت نهان با لوله حرارتی تریپلکس فیندار
ناطقه نجفپور - امید ادیبی
Exploring Energy and Water saving potential in An Industrial Cooling plant: A Modeling Approach
Ali Foadaddini - Sayyed Abbas Talebi - Saeed Jani - Zeynab Khorasani
Photovoltaic Power Forecasting With an Ensemble Multi-Input Deep Learning Approach
Fariba Dehghan - Mohsen Parsa Moghaddam - Maryam Imani
A Review on Stability-Oriented Challenges of Low-Inertia Wind-PV-Integrated Grids
Aliyu Sabo - Bashir Yunus - Hossein Shahinzadeh - Idris Musa
برآورد حجم گازهای فلر شده منطقه ویژه اقتصادی انرژی پارس با استفاده مدل شبکهعصبی مصنوعی و دادههای دورسنجی
المیرا اسدی فرد - سامره فلاحتکار - مهدی تنها زیارتی
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.7.1