Multi-objective optimization and exergoeconomic analysis of geothermal-based electricity and cooling system using zeotropic mixtures as the working fluid

2021 ◽  
Vol 294 ◽  
pp. 126237
Author(s):  
Pan Ding ◽  
Ke Zhang ◽  
Zhihua Yuan ◽  
Zhenguo Wang ◽  
Dongliang Li ◽  
...  
Keyword(s):  
Cooling System ◽  
Working Fluid ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Exergoeconomic Analysis

Multi-objective optimization of a chip-attached micro pin fin liquid cooling system

2021 ◽  
pp. 117187
Author(s):  
Vahideh Radmard ◽  
Yaser Hadad ◽  
Srikanth Rangarajan ◽  
Cong H. Hoang ◽  
Najmeh Fallahtafti ◽  
...  
Keyword(s):  
Cooling System ◽  
Multi Objective Optimization ◽  
Liquid Cooling ◽  
Multi Objective ◽  
Pin Fin ◽  
Liquid Cooling System

Multi-objective optimization of a solar-driven polygeneration system based on CO2 working fluid

2022 ◽  
Vol 252 ◽  
pp. 115136
Author(s):  
Nikolaos Georgousis ◽  
Panagiotis Lykas ◽  
Evangelos Bellos ◽  
Christos Tzivanidis
Keyword(s):  
Working Fluid ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Polygeneration System

Multi-Objective Optimization Analysis of Motor Cooling System in Articulated Dump Truck

2011 ◽  
Vol 383-390 ◽  
pp. 4715-4720
Author(s):  
Yan Zhang ◽  
Yan Hua Shen ◽  
Wen Ming Zhang
Keyword(s):  
Field Distribution ◽  
Cooling System ◽  
Dump Truck ◽  
Water Cooling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pareto Optimal Set ◽  
Temperature And Pressure ◽  
Water Cooling System ◽  
Optimal Set

In order to ensure the reliable and safe operation of the electric driving motor of the articulated dump truck, water cooling system is installed for each motor. For the best performance of the water cooling system, not only the heat transfer should be enhanced to maintain the motor in relatively low temperature, but also the pressure drop in the water cooling system should be reduced to save energy by reducing the power consumption of the pump. In this paper, the numerical simulation of the cooling progress is completed and the temperature and pressure field distribution are obtained. The multi-objective optimization model is established which involves the cooling system structure, temperature field distribution and pressure field distribution. To improve the computational efficiency, the surrogate model of the simulation about the cooling process is established based on the Response Surface Methodology (RSM). After the multi-objective optimization, the Pareto optimal set is obtained. The proper design point, which could make the average temperature and pressure drop of the cooling system relative desirable, is chosen from the Pareto optimal set.

A Thompson Sampling Efficient Multi-Objective Optimization Algorithm (TSEMO) for Lithium-Ion Battery Liquid-Cooled Thermal Management System: Study of Hydrodynamic, Thermodynamic, and Structural Performance

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
A. Garg ◽  
Cheng Liu ◽  
A. K. Jishnu ◽  
Liang Gao ◽  
My Loan Le Phung ◽  
...  
Keyword(s):  
Thermal Management ◽  
Optimization Algorithm ◽  
Cooling System ◽  
Hydrodynamic Performance ◽  
Design Parameters ◽  
Inlet Temperature ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Thompson Sampling ◽  
Conflicting Objectives

Abstract The efficient design of battery thermal management systems (BTMSs) plays an important role in enhancing the performance, life, and safety of electric vehicles (EVs). This paper aims at designing and optimizing cold plate-based liquid cooling BTMS. Pitch sizes of channels, inlet velocity, and inlet temperature of the outermost channel are considered as design parameters. Evaluating the influence and optimization of design parameters by repeated computational fluid dynamics calculations is time consuming. To tackle this, the effect of design parameters is studied by using surrogate modeling. Optimized design variables should ensure a perfect balance between certain conflicting goals, namely, cooling efficiency, BTMS power consumption (parasitic power), and size of the battery. Therefore, the optimization problem is decoupled into hydrodynamic performance, thermodynamic performance, and mechanical structure performance. The optimal design involving multiple conflicting objectives in BTMS is solved by adopting the Thompson sampling efficient multi-objective optimization algorithm. The results obtained are as follows. The optimized average battery temperature after optimization decreased from 319.86 K to 319.2759 K by 0.18%. The standard deviation of battery temperature decreased from 5.3347 K to 5.2618 K by 1.37%. The system pressure drop decreased from 7.3211 Pa to 3.3838 Pa by 53.78%. The performance of the optimized battery cooling system has been significantly improved.

Dynamic simulation and multi-objective optimization of a solar-assisted desiccant cooling system integrated with ground source renewable energy

2020 ◽  
Vol 173 ◽  
pp. 115210 ◽  
Author(s):  
Saeed Rayegan ◽  
Shahrooz Motaghian ◽  
Ghassem Heidarinejad ◽  
Hadi Pasdarshahri ◽  
Pouria Ahmadi ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Dynamic Simulation ◽  
Cooling System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Ground Source
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