2023
DOI: 10.3390/machines11020295
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Efficient Surrogate-Assisted Parameter Analysis for Coal-Supercritical Water Fluidized Bed Reactor with Adaptive Sampling

Abstract: Supercritical water fluidized beds (SCWFBs) are promising and efficient reactors for the gasification of coal in supercritical water. The understanding and investigation of multi-phase flows as well as the gasification process usually rely on time-consuming experiments or numerical simulations, which prohibit fast and full exploration of the single and coupled effects of the operation and geometric parameters. To this end, this paper builds an efficient surrogate-assisted parameter analysis framework for the S… Show more

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Cited by 3 publications
(2 citation statements)
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“…In recent years, the supercritical water gasification (SCWG) of coal, a novel coal gasification technology, has received extensive attention and in-depth research due to its clean, efficient, and low-cost characteristics [11][12][13][14][15][16][17]. In the SCWG of coal, elements such as C, H, and O will be converted into gas-phase products, mainly existing in the form of H 2 and CO 2 [18]. Pollution elements such as N, S, P, and Hg are enriched in the form of inorganic salts in ash rather than being discharged into the atmospheric environment.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the supercritical water gasification (SCWG) of coal, a novel coal gasification technology, has received extensive attention and in-depth research due to its clean, efficient, and low-cost characteristics [11][12][13][14][15][16][17]. In the SCWG of coal, elements such as C, H, and O will be converted into gas-phase products, mainly existing in the form of H 2 and CO 2 [18]. Pollution elements such as N, S, P, and Hg are enriched in the form of inorganic salts in ash rather than being discharged into the atmospheric environment.…”
Section: Introductionmentioning
confidence: 99%
“…Zhao et al used a Gaussian process surrogate model with effective adaptive sampling to develop a stable numerical simulation model for the SCWFB reactor for subsequent analysis [18]. Particles within fluidized beds face a high degree of complexity.…”
Section: Introductionmentioning
confidence: 99%