کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6476398 1425379 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computationally efficient CFD model for scale-up of bubbling fluidized bed reactors applied to sorption-enhanced steam methane reforming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Computationally efficient CFD model for scale-up of bubbling fluidized bed reactors applied to sorption-enhanced steam methane reforming
چکیده انگلیسی


- A novel drag model for computationally efficient simulations at industrial-scale has been developed.
- CO2 capture reaction is the kinetic limiting step of the SE-SMR process compared to SMR.
- Temperature is the key parameter in the SE-SMR chemical process at large scale.
- Classic drag models provide single bubble regime simulations in coarse CFD simulations.
- Novel drag model reproduces a realistic multi-bubble regime in scaled-up CFD simulations.

Sorption-Enhanced Steam Methane Reforming (SE-SMR) represents a novel and energy-efficient hydrogen production route with in situ CO2 capture. A comprehensive Eulerian-Eulerian CFD model of SE-SMR in a bubbling fluidized bed reactor, that uses dolomite and other solid sorbents as CO2 acceptors, has been developed. Kinetic models for steam methane reforming and CO2 capture have been implemented. In addition, a new particle drag model has been derived from customary formulas in order to reduce the computational cost. Two different scales have been studied: laboratory and semi-industrial. Results of the computation are in good agreement with literature data at both scales (SMR H2 = 76-78% vs. SE-SMR H2 = 90-96% dry basis mole fraction). Numerical simulations demonstrate that CO2 capture is the kinetic limiting step of the SE-SMR mechanism, as compared to steam methane reforming. Temperature is shown to be the key parameter of the SE-SMR chemical process at large scales, and an optimal T = 625 °C is estimated. Additionally, compared with the classical approaches, the new drag model provides seemingly realistic predictions within the multiple bubble regime, at a low computational cost and using a coarse grid. This represents a further advance for the scaling-up of the reactor to industrial sizes based on numerical simulation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel Processing Technology - Volume 167, 1 December 2017, Pages 747-761
نویسندگان
, , ,