Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm

Sanaye, Sepehr; Dehghandokht, Masoud

doi:10.1016/j.apenergy.2010.11.032

Cited by 42 publications

(11 citation statements)

References 19 publications

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“…In this study, the decision-making process is carried out by introducing an ideal point that both objectives are in optimal values, indicated by point C in Figure . The final solution is selected to have the shortest distance from point C among the points located on the Pareto front …”

Section: Results and Discussionmentioning

confidence: 99%

Optimization of Liquid Desiccant Regenerator with Multiobject Particle Swarm Optimization Algorithm

Wang

Cai

et al. 2014

Ind. Eng. Chem. Res.

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In this paper, a model-based optimization strategy for a liquid desiccant regenerator operating with lithium chloride solution is presented. By analyzing the characteristics of the components, such as electric heater, pump, and fan, energy predictive models for the components in the regenerator are developed. To minimize the energy usage while maintaining the regeneration rate within an accepted level, one multiobjective optimization problem is formulated with two objectives, the constraints of decision variables, components interactions, and the outdoor conditions. A multiobjective optimization strategy based on decreasing inertia weight particle swarm optimization (DIWPSO) is proposed to obtain the optimal nondominated solutions of the optimization problem, and a decision making strategy is introduced to select the final solution, desiccant solution flow rate, desiccant solution temperature, and the regenerating air flow rate, to minimize the energy usage in the regenerator. Experimental studies are carried out on an existing system to compare the energy consumption and regeneration rate between the proposed optimization strategy and conventional strategy to evaluate energy saving performance of the proposed strategy. Experimental results demonstrate that an average of 8.55% energy can be saved by implementing the proposed optimization strategy in liquid desiccant regenerator.

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Section: Results and Discussionmentioning

confidence: 99%

Optimization of Liquid Desiccant Regenerator with Multiobject Particle Swarm Optimization Algorithm

Wang

Cai

et al. 2014

Ind. Eng. Chem. Res.

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“…Due to the engine operational mode, this input energy is not totally invested at the brake output power due to losses in the exhaust system, in the cooling system, and in the HVAC (heating, ventilation, and air conditioning) system of the vehicle [1][2][3]. To increase the efficiency of the engine, the large studies in the literature reveal that one has either to reduce energy lost in the exhaust system or to use some of it [4][5][6][7], to increase and/or control the efficiency of the cooling system [8][9][10][11], to manage well the energy consumption of the HVAC system [12][13][14][15], or to act on the engine design and/or combustion issues in order to increase the chemical energy and relative brake net power [16][17][18][19][20]. In this existent literature were scarce studies on aerothermal effects, which can in a later stage improve the management of the energy balance in a well controlled vehicle.…”

Section: Introductionmentioning

confidence: 99%

Energy Management in Car Underhood Compartment—Temperature and Heat Flux Analysis of Car Inclination Effects

Khaled

Hage

Harambat

et al. 2014

Heat Transfer Engineering

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It has been shown by the authors that car inclination influences the temperatures of different underhood components. Herethese effects are analyzed by heat-flux measurements. The results of underhood temperature and heat-flux measurements carried out on a passenger vehicle in wind-tunnel S4 of Saint-Cyr l'Ecole are presented. The underhood compartment of the vehicle is instrumented with 40 surface and air thermocouples and 20 flux meters of normal gradient. Experiments are performed with a specific technique for separate measurement of convective and radiative heat fluxes. Three car position configurations are tested: flat, uphill, and downhill positions. Measurements are made for three different thermal functioning modes. Fluxmetric analysis based on overall heat flux as well as on separate convective and radiative heat fluxes is reported here in order to establish the effects and variation tendencies of car inclination on the temperature-heat flux pair. For most of the tested positions in the underhood top region, the car inclination improves convective heat transfer and penalizes radiative heat transfer. The reduction in radiative heat transfer dominates the convective heat-transfer improvement, resulting in augmentation of the overall heat flux as well as the temperature.

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“…Bejan [6] used the minimum entropy generation principle to optimize heat exchangers and studied the entropy generation number as the optimization criterion. Sanaye et al [7] optimized the condenser heat transfer rate by appling genetic algorithm multi-objective optimization technique. Guo et al [8] introduced a new physical quantity, entransy, which represents the heat transfer ability of an object to analyze the heat transfer process.…”

Section: Introductionmentioning

confidence: 99%

Synergy Optimization Analysis of Heat Transfer Process and Its Application in Data Centers

Zhiguang¹,

Li²

2021

Preprint

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Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm

Cited by 42 publications

References 19 publications

Optimization of Liquid Desiccant Regenerator with Multiobject Particle Swarm Optimization Algorithm

Optimization of Liquid Desiccant Regenerator with Multiobject Particle Swarm Optimization Algorithm

Energy Management in Car Underhood Compartment—Temperature and Heat Flux Analysis of Car Inclination Effects

Synergy Optimization Analysis of Heat Transfer Process and Its Application in Data Centers

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