In this paper, we have studied about the Energy Storage System (ESS) for renewable energy such as wind and solar energy by using Battery Energy Storage System (BESS). The BESS, by using Li-Ion battery, takes the advantage of high energy density. The ESS is composed of a large number of the battery. It is necessary to stabilize the temperature of the battery in order to improve the performance of the ESS. To improve the performance of ESS, Using as a program to analysis the container internal flow and heat distribution. The use of the battery to the stable and suggest in the initial battery array design of the heat concentration phenomenon in the battery array

The lay outs in this thesis is based on basic theories and the test the performance of the product by wind tunnel test and vehicle test. Furthermore, in order to find out the effect of structure change on hub which is one of the components of wind turbine, I compared the actual performance between the existing model and the modified model thoroughly. To improve the performance of wind turbine, I modify the structure of the hub and analysing base model and modify model by using Star-CCM+. As a result, I found out the wing-shaped hub used model stablizes the spin in shorter time than existing model. Therefore, with the optimal blade selection, the structure modification on hub is a considerable variable on wind turbine design which is aiming better performance.

High power and high efficiency has been required in internal combustion engine. Accordingly, the thermal load deformation, thermal stress and temperature on piston become higher at newly developed engines. To investigate the cooling effect of piston, a few types of piston design is presented and finite element method is carried out to analysis the heat transfer and the thermal stress. The piston which has upwards shifted cooling gallery is also analyzed to investigate the thermal load effect of oil jet cooling.

Articulation Index(AI) is the one of the evaluating methods for the interior sound of the automobiles. The AI measures the articulation level of the sound in the vehicle cabin as passengers talk to another. In this study, the effects of AI were investigated according to the various structures of tire. As the structures of tire were changed, the road noise of the vehicle tire was measured using objective measurement. From this measurement data, the AI was calculated. The AI of front is larger than that of rear. Increasing the tread hardness of tire or decreasing the apex height the AI is improved.

Articulation Index(AI) is the one of the evaluating methods for the interior sound of the automobiles. The AI measures the articulation level of the sound in the vehicle cabin as passengers talk to another. In this study, the effects of AI were investigated according to the various structures of tire. As the structures of tire were changed, the road noise of the vehicle tire was measured using objective measurement. From this measurement data, the AI was calculated. The AI of front is larger than that of rear. Increasing the tread hardness of tire or decreasing the apex height the AI is improved.