Abstract: The present disclosure describes a method for predicting flow and heat transfer performance of all flow patterns in a crude oil heat exchanger, including: constructing an all-flow-pattern oil-water two-phase flow prediction model; inputting parameters of a to-be-tested fluid to the all-flow-pattern oil-water two-phase flow prediction model, and determining a dispersed phase of the to-be-tested fluid with an oil-water phase inversion model, according to the dispersed phase of the to-be-tested fluid is a water phase or an oil phase, solving a water drop or an oil drop distribution based fully coupled population balance model (PBM) until convergence to obtain a first result or a second result, determine a flow pattern of the to-be-tested fluid, and flow and heat transfer associated parameters according to the first result or the second result; determining an overall heat transfer coefficient of a heat exchanger.

Abstract: A method and system for predicting heat exchanger performance, an electronic device and a storage medium are provided. The method comprises: acquiring a flow unit of the heat exchanger and constructing a physical model of the flow unit according to structural parameters of the heat exchanger; constructing a coupled model of an interphase transfer mechanism for oil-gas-water three-phase flow using computational fluid dynamics according to the physical model; constructing a fully coupled population balance model for flow and heat transfer of oil-gas-water three-phase flow; solving the fully coupled population balance model to obtain a model calculation result and determining a Nusselt number and a Fanning friction factor; and determining a comprehensive heat transfer factor, wherein the comprehensive heat transfer factor is used to evaluate heat transfer performance of the heat exchanger.