The numerical modeling and simulation of the highly preheated and diluted air combustion furnaces
Publish place: Fuel, Energy and Environment National Congress
Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,623
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
FEENC01_013
تاریخ نمایه سازی: 25 خرداد 1387
Abstract:
This paper presents some of the predicted results of the modeling and simulation of an industrial furnace; under the conventional combustion (air with 21% O2 and the ambient temperature and/or 1000 oC) and under the highly preheated and diluted air combustion "HPDAC" (air with 10% O2 and 1000 oC) conditions, using a computer program written by authors in FORTRAN language. The comparison of the simulation results between the conventional combustion and HPDAC shows that, the HPDAC applied to industrial furnace offers the more uniform and relatively moderate gas temperature profile and thus the reduction of NOX pollutant formation, a larger flame and therefore the lower maximum local heat release rate. Totally, we will have a system with the higher thermal performance and so the lower fuel or energy consumption, that translates the suppression of CO2 pollutant emission to the environment. The HPDAC technology also can result in smaller chamber size for processing the same material or increasing productivity for the same furnace size. Finally, in this paper a modified concept has been proposed and applied for defining of the chemical flame size.
Keywords:
Authors
K Abbasi Khazaei
phD student, energy engineering
A.A Hamidi
Associate professor, chemical engineering, department of chemical engineering, Faculty of Engineering, Tehran University
M Rahimi
Associate professor, chemical engineering, department of chemical engineering, Faculty of Engineering, Razi University
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :