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Proper orthogonal decomposition (POD) reduced-order model can save computing time by reducing the dimension of physical problems and reconstructing physical elds. It is especially suitable for large-scale complex problems in engineering, such as ground heat utilization, sea energy development, mineral exploitation, multiphase ow and ow and heat transfer with complex structure. In this paper, the POD reduced-order model was used to calculate the heat transfer in a at tube bank n heat exchanger. The calculating results of the nite volume method (FVM) were adopted as the snapshot samples. Singular value decomposition method was used to decompose the samples to obtain a series of bases and corresponding coefcients on sampling conditions. With these coefcients, interpolation method was used to calculate the coefcients on predicting conditions. And the physical eld has been reconstructed using the bases and the interpolated coefcients directly. In the calculation of heat transfer unit of at tube n heat exchanger, air-side Reynolds number, transverse tube spacing and the n spacing were chosen as the variables. The results obtained by the POD method are in good agreement with the results calculated by the FVM. Moreover, the POD reduced-order model presented in this paper is more advantageous in comparison with the FVM in terms of accuracy, suitability, and computational speed. Cited as : Wang, Y., Xia, X., Wang, Y., et al. Using proper orthogonal decomposition to solve heat transfer process in a flat tube bank fin heat exchanger. Advances in Geo-Energy Research, 2017, 1(3): 158-170, doi: 10.26804/ager.2017.03.03.