مهندسی شیمی ایران

مهندسی شیمی ایران

مروری بر مدل‌سازی پیل سوختی میکروبی

نوع مقاله : مقاله مروری

نویسندگان
1 دانشیار گروه مهندسی شیمی، دانشگاه بجنورد
2 کارشناس ارشد مهندسی شیمی، دانشگاه بجنورد
3 دانشجوی دکتری مهندسی محیط زیست و عمران، دانشگاه نبراسکا- لینکلن
چکیده
پیل سوختی میکروبی بااستفاده‌از روش‌های ریاضی و محاسباتی متنوع، به‌منظور درک بهتر رفتار پیچیده و بهینه‌سازی عمل‌کرد، مدل‌سازی می‌شود. در فرایند مدل‌سازی، تأثیرات مختلفی ازجمله تأثیرات بیولوژیکی، انتقال جرم، انرژی و بار در آند و کاتد مد نظر قرار می‌گیرد. این مدل‌ها با درنظرگرفتن مراحل مختلف ماده، شرایط مرزی، رشد میکروبی، سینتیک واکنش در آند و کاتد، رفتار الکتروشیمیایی سامانه، طیف گسترده‌ای از فرایندها را دربر می‌گیرد. قدرت یک مدل در توانایی پیش‌بینی و تعادل میان زمان محاسباتی و دقت نتایج آن نهفته است. هدف این مدل‌ها ارائۀ یک درک جامع از پدیده‌های رخ‌داده در پیل سوختی میکروبی است که شامل طیف وسیعی از فرایندها است. علاوه‌بر این، مدل‌ها تأثیرات تغییرات محیطی بر رشد میکروبی، هیدرودینامیک جریان و انتقال الکترون از سطح میکروبی به آند را درنظر می‌گیرد. این مدل‌ها برای شناسایی عوامل کلیدی که بر سامانۀ کلی تأثیر می‌گذارد و بهبود توان خروجی پیل‌های سوختی میکروبی، ضروری است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

An Overview of Microbial Fuel Cell Modeling

نویسندگان English

M. Esfandyari 1
S. Sobhani 2
D. Jafari 3
1 Associate Professor of Chemical Engineering, University of
2 M. Sc. Student of Chemical Engineering, University of Bojnord
3 Ph. D. Student of Civil and Environmental Engineering, University of Nebraska-Lincoln
چکیده English

Microbial fuel cell are modeled using various mathematical and computational methods in order to better understand the complex behavior of these cells and optimize their performance. In the modeling process, various effects including biological effects, mass transfer, energy and charge in anode and cathode are considered. These models cover
a wide range of processes by considering different material phases, boundary conditions, microbial growth, reaction kinetics at anode and cathode and electrochemical behavior of the system. The power of a model lies in the ability to predict and the balance between computing time and the accuracy of its results. The aim of these models is to provide a comprehensive understanding of the phenomena occurring in the microbial fuel cell, which includes a wide range of processes. In addition, the models consider the effects of environmental changes on microbial growth, flow hydrodynamics, and electron transfer from the microbial surface to the anode. These models are essential to identify the key factors that affect the overall system and improve the power output of microbial fuel cells.

کلیدواژه‌ها English

Microbial Fuel Cell
Modeling
Substrate
Anode
Cathode
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