[논문]Submerged combustion vaporizer optimization using Entropy Minimization Method

Park, Yeong Cheol; Kim, Jedo

doi:10.1016/j.applthermaleng.2016.04.133

Submerged combustion vaporizer optimization using Entropy Minimization Method

Applied thermal engineering, v.103, 2016년, pp.1071 - 1076

Park, Yeong Cheol (Department of Mechanical Engineering, Pukyong National University, 365 Sinsun-Ro, Nam-Gu, Busan 608-739, Republic of Korea) , Kim, Jedo (Deparment of Mechanical and System Design Engineering, Hongik University, 94 Wausan-ro, Mapo-Gu, Seoul 121-791, Republic of Korea)

Abstract ▼ AI-Helper

Compact Submerged Combustion Vaporizers (SCVs) are in demand as increased number of natural gas powered engine is being installed for their high efficiency and high cost effectiveness. For improved performance of SCVs, optimization study is carried out using the porous media model and the Entropy Minimization Method (EMM) for two boundary conditions: constant temperature and constant heat flux. We identify heat transfer increase dominated regime at low particle Reynolds number and pressure drop dominated regime at high particle Reynolds number and find optimized points for the independently controlled porosity parameters and equivalent particle diameter: the number of fins and fin thickness or fin diameter, respectively. Through this study, we show that highly efficient heat transfer surface unit cell can be designed using the EMM analysis which is not limited to any specific geometry and such method can be used to optimize other parameters which affect the energy transfer effectiveness. (C) 2016 Elsevier Ltd. All rights reserved.

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Submerged combustion vaporizer optimization using Entropy Minimization Method

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