Solid Amine CO2 Removal System for Submarine Application

Boynton, Cyrus K.; Colling, Arthur K.

doi:10.4271/831131

Cited by 3 publications

(1 citation statement)

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“…In comparison, a solid amine CDRA has superior features, such as low energy consumption, small volume and lightweight. Hence, it is widely applied in submarines [10], space shuttles [11], and manned spacecraft [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Solid Amine CO2 Removal Assembly in Manned Spacecraft

Rong

Pang

Liu

et al. 2017

Entropy

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Carbon Dioxide Removal Assembly (CDRA) is one of the most important systems in the Environmental Control and Life Support System (ECLSS) for a manned spacecraft. With the development of adsorbent and CDRA technology, solid amine is increasingly paid attention due to its obvious advantages. However, a manned spacecraft is launched far from the Earth, and its resources and energy are restricted seriously. These limitations increase the design difficulty of solid amine CDRA. The purpose of this paper is to seek optimal design parameters for the solid amine CDRA. Based on a preliminary structure of solid amine CDRA, its heat and mass transfer models are built to reflect some features of the special solid amine adsorbent, Polyethylenepolyamine adsorbent. A multi-objective optimization for the design of solid amine CDRA is discussed further in this paper. In this study, the cabin CO 2 concentration, system power consumption and entropy production are chosen as the optimization objectives. The optimization variables consist of adsorption cycle time, solid amine loading mass, adsorption bed length, power consumption and system entropy production. The Improved Non-dominated Sorting Genetic Algorithm (NSGA-II) is used to solve this multi-objective optimization and to obtain optimal solution set. A design example of solid amine CDRA in a manned space station is used to show the optimal procedure. The optimal combinations of design parameters can be located on the Pareto Optimal Front (POF). Finally, Design 971 is selected as the best combination of design parameters. The optimal results indicate that the multi-objective optimization plays a significant role in the design of solid amine CDRA. The final optimal design parameters for the solid amine CDRA can guarantee the cabin CO 2 concentration within the specified range, and also satisfy the requirements of lightweight and minimum energy consumption.

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