Multi-phase FVM Numerical Modeling of Flare Plume Air Pollution
- سال انتشار: 1398
- محل انتشار: چهارمین کنفرانس بین المللی پژوهش های کاربردی در علوم و مهندسی
- کد COI اختصاصی: CARSE04_084
- زبان مقاله: انگلیسی
- تعداد مشاهده: 508
نویسندگان
Polytechnic University of Turin, Italy
Polytechnic University of Turin, Italy,
چکیده
Multi-phase flows in atmosphere are considered here as some level of phase or gas component separation at a scale well above the molecular level of plume components in atmosphere. Therefore, it is to be classified according to the state of the different phases or components and refer to independent gas components mixed with water vapor, gas/particle or bubbly flows and so on, as air/plume flows in atmosphere. The harmful effect of air pollution of flares is an important issue in every society through the world. Health and economic problems of air pollution have made the scientists turn to investigate its dissipation and developing knowledge of resources during the recent years. Otherwise, predicting the criteria pollutant concentration, considering the interaction between three factors atmospheric conditions, topography and pollutant producing plays an important role in order to deal with air pollution and its numerical prediction. Flares in oil operation industry are of the important and income industries, that there is a need to predict its plume dissipation to control or assess the pollution as it develops. The advection and diffusion of CO, NOx and SO2 are the most important pollutant components from the gas flaring in oil operation industry. Therefore, as the result of this numerical research, the advection and diffusion of these pollutants through a low pressure flare without mixing factor is investigated by the means of Computational Fluid Dynamics modeling (CFD). The conducted numerical solution of flare pollution outlet flow and dispersal model has been extended to include pollutant sources, wind speed, density change versus temperature with a prescribed pollution exit velocity. This allows a more realistic treatment of industrial pollutant sources which often are most relevant for air quality in urban areas. The proposed model has been developed upon five equations of mass, momentum and energy balance. This study shows a plausible behavior of simulated pollutant plumes as simulated by the proposed model is able to predict summer and winter day upon different natural boundary conditions.کلیدواژه ها
Numerical Modeling, Flare, Computational Fluid Dynamics, Concentration of Pollutantsمقالات مرتبط جدید
- روش های یادگیری تقویتی برای امنیت اینترنت اشیا: تشخیص، پیش بینی و پیشگیری از حملات
- ارزیابی پتانسیل های اجرای شهر هوشمند در چابهار با تاکید بر توسعه سرمایه گذاری در منطقه آزاد چابهار
- بررسی کارایی سیستم های موقعیت یاب درون ساختمانی
- چالش ها در تحلیل داده های دریایی بر اساس الگوریتم های یادگیری ماشین (یادگیری تحت نظارت)
- Implementation of XOR Gate Using QCA Technology
اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.