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Development of a high-resolution local scale ocean simulation model based on LBM and GPGPU

基于LBM和GPGPU的高分辨率局部尺度海洋模拟模型开发

基本信息

批准号：
24656536
负责人：
HU CHANGHONG
金额：
$ 1.58万
依托单位：
Kyushu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Challenging Exploratory Research
财政年份：
2012
资助国家：
日本
起止时间：
2012-04-01 至 2014-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-24656536/
关键词：
海洋CCS 環境評価技術格子ボルツマン法 GPGPU

项目摘要

As a novel local scale ocean simulation model for environment assessment of marine CCS, a lattice Boltzmann method (LBM) combined with GPU computing technology has been developed. A large eddy simulation (LES) model has been implemented to the LBM code for high Reynolds number flows. To increase the accuracy of CO2 diffusion computation on high Reynolds and high Peclet number problems, a hybrid LBM/FVM (finite volume method) method has been developed. The GPU parallel computing technique has been applied to accelerate the simulation. Using the developed LBM-based numerical model, two numerical simulations on CCS, the CO2 dissolution, diffusion, and convection from a CO2 lake, and the ascent behavior of a CO2 droplet leaked from a sub-seabed storage site, have been carried out and promising results have been obtained.

网格玻尔兹曼方法（LBM）是一种结合GPU计算技术的局部尺度海洋模拟模型，可用于海洋CCS环境评估。本文采用大涡模拟（LES）方法对高雷诺数流动进行了数值模拟。为了提高高雷诺数和高Peclet数条件下CO2扩散计算的精度，发展了一种混合LBM/FVM（有限体积法）方法。采用GPU并行计算技术加快了仿真速度。使用开发的基于LBM的数值模型，CCS，CO2溶解，扩散，对流从CO2湖，和上升行为的CO2液滴泄漏从海底存储站点，已进行了两个数值模拟，并取得了可喜的成果。