The process of oil-water displacement is one of the key technologies in offshore underwater tank. When hot oil is contacting the normal-temperature water, the interfacial heat transfer should be investigated as the heat loss may result in wax precipitation and solidification which will reduce the flowing of oil and thus affect the process. As for the numerical simulation of heat transfer, the calculation is costly as the underwater tank is usually large and the displacement period is long. A high precision computing method would greatly reduce the mesh scale. Therefore, this research is performed to establish a high precision computing solver. Based on volume of fluid (VOF), a new form of energy equation is proposed. This equation is derived from temperature equation and the variable internal energy per volume is used. This variable is additive and has a close relationship with volume fraction. With algorithm implantation to OpenFOAM, two non-isothermal VOF solvers are established corresponding to temperature equation and the new equation respectively. After an analytical solution is built, the two solvers are compared. The solver based on the new equation presents far more accurate results than the solver based on temperature equation. An energy weighted scheme is more reasonable than a linear temperature distribution for the mixture phase.

油水驱替过程是近海水下储罐的关键技术之一。当热油与常温水接触时，应研究界面传热，因为热损失可能导致蜡沉淀和固化，从而降低油的流动，从而影响过程。对于传热的数值模拟，由于水下储罐通常较大且位移周期较长，计算成本较高。高精度的计算方法将大大减少网格规模。因此，本研究旨在建立一个高精度的计算求解器。基于流体体积（VOF），提出了一种新形式的能量方程。这个方程是从温度方程推导出来的，并且使用了单位体积的可变内能。该变量是可加的，与体积分数有密切关系。将算法植入OpenFOAM，建立了两个非等温VOF求解器，分别对应温度方程和新方程。建立解析解后，比较两个求解器。基于新方程的求解器提供的结果比基于温度方程的求解器准确得多。对于混合相，能量加权方案比线性温度分布更合理。基于新方程的求解器提供的结果比基于温度方程的求解器准确得多。对于混合相，能量加权方案比线性温度分布更合理。基于新方程的求解器提供的结果比基于温度方程的求解器准确得多。对于混合相，能量加权方案比线性温度分布更合理。