Use of single air extraction and injection to thermodynamically balance the combined heat and mass transfer process

Chen, Junjie; Han, Dong; Gao, Sijie; He, Wei; Tao, Peng

doi:10.1016/j.energy.2021.120193

Cited by 5 publications

(1 citation statement)

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“…For air extraction/injection, the gained output ratio was elevated by 91% and 112% with single and double extraction systems, respectively, compared with that of the base system [14]. Originally, Chen [15,16] successively studied the influences of extraction/injection from both the water side and air side on the thermodynamic performance of the packed bed humidifier. It was found that single water injection and air extraction for the single humidifier are more desirable measures compared with zero and single water extraction and air injection.…”

Section: Introductionmentioning

confidence: 99%

Establishing Surrogate Model to Predict the Optimal Thermodynamic and Economic Performance of a Packed Bed Humidifier via Multi-Objective Optimization

Chen

Han

et al. 2021

Sustainability

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In this paper, to optimize the thermodynamic and economic performance of a packed bed humidifier, a multi-objective optimization combined response surface method with a genetic algorithm is employed. The critical parameters, including geometric and thermodynamic parameters, are designated as the impact factors, and the objective functions contain unit humidification capacity of volume and unit humidification capacity of cost in a Box–Behnken design. The results of the analysis of variance demonstrated that the quadratic regression models of objectives are reliable and robust. It is found that the liquid–gas ratio, the interaction of the liquid–gas ratio, and inlet water temperature are simultaneously the strongest influence factors for the thermodynamic and economic indicators among the independent and interactive parameters. In addition, the optimal parameter group is found out through a genetic algorithm, and the actual optimal results are obtained as 0.11 kgs−1m−3 for thermodynamic performance and 15.86 kg$−1 for economic performance. Furthermore, it is shown that the thermodynamic performance improves by 56% and the economic performance increases by 6.55%, compared with optimum experimental design points. During the optimization design process, the computational time to find the optimal values reduces from 69,000 s with previous mathematical models to 10 s with established regression models. Additionally, a series of Pareto-optimal points for possible best thermodynamic and economic performance give the reference for the designers of packed bed humidifiers.

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Section: Introductionmentioning

confidence: 99%