Heat Transfer Characteristics and Prediction Model of Supercritical Carbon Dioxide (SC-CO2) in a Vertical Tube

نویسندگان

  • Can Cai
  • Xiaochuan Wang
  • Shaohua Mao
  • Yong Kang
  • Yiyuan Lu
  • Xiangdong Han
  • Wenchuan Liu
چکیده

Due to its distinct capability to improve the efficiency of shale gas production, supercritical carbon dioxide (SC-CO2) fracturing has attracted increased attention in recent years. Heat transfer occurs in the transportation and fracture processes. To better predict and understand the heat transfer of SC-CO2 near the critical region, numerical simulations focusing on a vertical flow pipe were performed. Various turbulence models and turbulent Prandtl numbers (Prt) were evaluated to capture the heat transfer deterioration (HTD). The simulations show that the turbulent Prandtl number model (TWL model) combined with the Shear Stress Transport (SST) k-ω turbulence model accurately predicts the HTD in the critical region. It was found that Prt has a strong effect on the heat transfer prediction. The HTD occurred under larger heat flux density conditions, and an acceleration process was observed. Gravity also affects the HTD through the linkage of buoyancy, and HTD did not occur under zero-gravity conditions.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Experimental Investigation of Local Heat Transfer of Carbon Dioxide at Super-Critical Pressures in a Vertical Tube and Multi-Port Mini-Channels Under Cooling Conditions

A method to obtain the local heat transfer coefficients of carbon dioxide at supercritical pressures in vertical multi-port mini-channels and in a vertical small tube under cooling conditions was presented through the combination of experiments and numerical simulation in this paper. The CFD code FLUENT 6.1 was used to simulate the convection heat transfer of cooling water to determine the loca...

متن کامل

Prediction of Cooling Heat Transfer Coefficient of Supercritical CO2 With Small Amount of Entraned Lubricating Oil Entrained by Neural Network Method

The modeling of the heat transfer performance of supercritical carbon dioxide with a small amount of entrained PAG-type lubricating oil is presented in this paper. Due to the complexity of the heat transfer mechanism, including the complexity of the changes in the thermophysical properties, changes in the solubility of CO2 in oil, and the flow pattern at different temperatures and pressures, a ...

متن کامل

Solubility Prediction of Drugs in Supercritical Carbon Dioxide Using Artificial Neural Network

The descriptors computed by HyperChem® software were employed to represent the solubility of 40 drug molecules in supercritical carbon dioxide using an artificial neural network with the architecture of 15-4-1. The accuracy of the proposed method was evaluated by computing average of absolute error (AE) of calculated and experimental logarithm of solubilities. The AE (±SD) of data sets was 0.4 ...

متن کامل

Solubility Prediction of High Molecular Weight n-Paraffins in Supercritical Carbon Dioxide

Solubility of high molecular weight n-paraffins in supercritical carbon dioxide has been a matter of interest to many researchers. However, not sufficient solubility experimental data are available although the methods by which the experimental data are obtained have many varieties. Utilizing cubic equations of state is an effective method for solubility prediction of n-paraffins in supercr...

متن کامل

Title of Dissertation: HEAT TRANSFER AND MECHANICAL DESIGN ANALYSIS OF SUPERCRITICAL GAS COOLING PROCESS OF CO2 IN MICROCHANNELS

Title of Dissertation: HEAT TRANSFER AND MECHANICAL DESIGN ANALYSIS OF SUPERCRITICAL GAS COOLING PROCESS OF CO2 IN MICROCHANNELS Guohua Kuang, Doctor of Philosophy, 2006 Directed By: Professor Michael Ohadi, Department of Mechanical Engineering Professor Balakumar Balachandran (Co-Advisor), Department of Mechanical Engineering An extensive review of the literature indicates a lack of systematic...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017