Abstract
Integration of modeling and optimization of a thermal management system simultaneously depends on heat transfer performance of the components and the topological characteristics of the system. This paper introduces a heat current method to construct the overall heat current layout of a typical double-loop thermal management system. We deduce the system heat transfer matrix as the whole system constraint based on the overall heat current layout. Moreover, we consider the influences of structural and operational parameters on the thermal hydraulic performances of each heat exchanger by combining the empirical correlations of the heat transfer and pressure drop. Finally, the minimum pressure drop is obtained by solving these optimal governing equations derived by the Lagrange multiplier method considering the physical constraints and operational conditions. The optimization results show that the minimum pressure drop reduces about 8.1% with the optimal allocation of mass flow rates of each fluid. Moreover, the impact analyses of structural and operating parameters and boundary conditions on the minimum and optimal allocation present that the combined empirical correlation-heat current method is feasible and significant for achieving integrated component-system modeling and optimization.
Highlights
The thermal management system has played an increasingly essential and promising role in such fields as data center [1], building [2], electric/fuel cell vehicles [3,4,5], energy storage [6], and spacecraft [7,8]
Integration modeling and optimization of component and system provide a holistic perspective for thermal management system design and optimization
We introduced some empirical correlations of heat transfer and pressure drop to consider the influences of structural and operational parameters of each heat transfer component on the system overall performance
Summary
The thermal management system has played an increasingly essential and promising role in such fields as data center [1], building [2], electric/fuel cell vehicles [3,4,5], energy storage [6], and spacecraft [7,8]. For a heat exchanger, which is a fundamental component of a thermal management system, the corresponding empirical correlations of heat transfer factor (j-factor) and flow resistance friction factor (f -factor) by experiments or simulations are very significant and essential to its design and performance analysis. According to these corresponding empirical correlations, the log mean temperature difference (LMTD) method or the effectiveness-number of transfer units (NTU). A combination of empirical correlation and heat current method provides an alternative and feasible solution for the overall integration and optimization of a thermal energy system by considering the heat transfer component performance and system characteristics.
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