The Selection of Amine Solvent in Gas Treating Process Considering Physical and Process Criteria Using Multiple Criteria Decision-making Techniques: A Case Study of Ilam Gas Treating Company
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 604
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شناسه ملی سند علمی:
JR_IJOGST-8-3_005
تاریخ نمایه سازی: 6 خرداد 1399
چکیده مقاله:
In the current work, a framework is presented for amine solvent selection in gas treating process. Since the appropriate decision making in this field affects the capital and operational costs, multi attribute decision making (MADM) techniques were used to rank alternatives. The determination of criteria and alternatives is the most important aspect in the MADM. Criteria were divided into two categories, namely physical and process, and twelve physical indexes and nine process indexes were detected. Mono-ethanol amine (MEA), di-glycol amine (DGA), di-ethanol amine (DEA), di-isopropanol amine (DIPA), and methyl di-ethanol amine (MDEA) are intended as alternatives. The importance of the criteria was expressed by weights, and the weights were determined by the analytic hierarchy process (AHP) method. The traditional Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) method was applied to the physical criteria with crisp data. The modified interval TOPSIS technique was used to study the process criteria with interval data. The data of the criteria and alternatives were collected from Ilam Gas Treating Company, and the solution for sour gas sweetening was ranked by the proposed approach. Based on our computations, MDEA was defined as the best amine solvent with an average ranking of 1.5.
کلیدواژه ها:
نویسندگان
Masoud Seidi
Assistant Professor, School of Engineering, Ilam University, Ilam, P.O. Box ۶۹۳۱۵/۵۱۶, Iran
Mohsen Khezeli
Ph.D. Candidate, Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
Behrouz Bayati
Assistant Professor, Department of Chemical Engineering, Ilam University, Ilam, P.O. Box ۶۹۳۱۵/۵۱۶, Iran
Esmaeil Najafi
Assistant Professor, Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
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