A collaborative optimization method for heat transfer systems based on the heat current method and entransy dissipation extremum principle

2019 ◽  
Vol 146 ◽  
pp. 635-647 ◽  
Author(s):  
Tian Zhao ◽  
Di Liu ◽  
Qun Chen
Keyword(s):  
Heat Transfer ◽  
Current Method ◽  
Optimization Method ◽  
Extremum Principle ◽  
Collaborative Optimization ◽  
Heat Current ◽  
Entransy Dissipation ◽  
Entransy Dissipation Extremum Principle

scholarly journals The Integrated Component-System Optimization of a Typical Thermal Management System by Combining Empirical and Heat Current Methods

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6347
Author(s):  
Junhong Hao ◽  
Youjun Zhang ◽  
Nian Xiong
Keyword(s):  
Heat Transfer ◽  
Pressure Drop ◽  
Thermal Management ◽  
Management System ◽  
Optimal Allocation ◽  
Current Method ◽  
Heat Current ◽  
Component System ◽  
Minimum Pressure ◽  
Thermal Management System

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.

scholarly journals An Integrated Three-Level Synergetic and Reliable Optimization Method Considering Heat Transfer Process, Component, and System

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4112
Author(s):  
Tian Zhao ◽  
Di Liu ◽  
Ke-Lun He ◽  
Xi Chen ◽  
Qun Chen
Keyword(s):  
Heat Transfer ◽  
Optimization Method ◽  
Heat Transfer Process ◽  
System Level ◽  
Heat Current ◽  
Shape Variation ◽  
Component Level ◽  
Local Process ◽  
Process Component ◽  
Process Level

Optimization of heat transfer systems (HTSs) benefits energy efficiency. However, current optimization studies mainly focus on the improvement of system design, component design, and local process intensification separately, which may miss the optimal results and lack reliability. This work proposes a synergetic optimization method integrating levels of the local process, component to system, which could guarantee the reliability of results. The system-level optimization employs the heat current method and hydraulic analysis, the component level optimization adopts heuristic optimization algorithm, and the process level optimization applies the field synergy principle. The introduction of numerical simulation and iteration provides the self-consistency and credibility of results. Optimization results of a multi-loop heat transfer system present that the proposed method can save 16.3% pumping power consumption comparing to results only considering system and process level optimization. Moreover, the optimal parameters of component originate from the trade-off relation between two competing mechanisms of performance enhancement, i.e., the mass flow rate increase and shape variation. Finally, the proposed method is not limited to heat transfer systems but also applicable to other thermal systems.

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