29 شهریور 1400
آزاده ميروكيلي

آزاده میروکیلی

مرتبه علمی: استادیار
نشانی: دانشکده مهندسی نفت، گاز و پتروشیمی - گروه مهندسی شیمی
تحصیلات: دکترای تخصصی / مهندسی شیمی
تلفن: 21222026
دانشکده: دانشکده مهندسی نفت، گاز و پتروشیمی

مشخصات پژوهش

عنوان Simulatione based optimization of operating parameters for methanol synthesis process: Application of response surface methodology for statistical analysis
نوع پژوهش مقالات در نشریات
کلیدواژه‌ها
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مجله Journal of Natural Gas Science and Engineering
شناسه DOI
پژوهشگران سعید حسینی (نفر اول) ، زهرا زارع (نفر دوم) ، آزاده میروکیلی (نفر سوم) ، پیام ستوده (نفر چهارم) ، محمدرضا رحیمپور (نفر پنجم)

چکیده

In this study, the effect of changes in operating conditions is considered following a three estep procedure. Firstly, the process is simulated based on the design data for model validation and odelebased optimization. The presented best-fitted kinetic and thermodynamic models in the literatures are utilized to analyze the trends and kinetic features related to methanol synthesis. The variations in the operating conditions such as the inlet temperature and the mole fractions of CO and CO2 significantly affect the methanol production rate. Low operating performance of the heat exchangers and the alterations in operating conditions contribute to increase of the amount of purge gas of the process from its predicted quantity in the design condition. Since it has been anticipated that the purge gas may rise, a noeflow flare (zero flaring) has been designed and the excess of purge gas is burnt in this flare. Secondly, the process is simulated based on the operating data to calculate the streams conditions. Thirdly, the analysis and statistical optimization are performed. Applying response surface methodology (RSM), the operating conditions of this plant are optimized via simulatorebased experimental design in order to maximize methanol production. RSM is a collection of mathematical and statistical techniques useful for modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response. Consequently, the results of the statistical analysis prove that the methanol production rate increases by 7% applying the optimal operating conditions.