Kinetic model development and Bayesian uncertainty quantification for the complete reduction of Fe-based oxygen carriers with CH4, CO, and H2 for chemical looping combustion

• Kinetic models for reduction of Fe-based oxygen carrier with CH4, CO, and H2 developed. • Uncertainties quantified using fully Bayesian approach. • Bayesian smoothing splines used for representing model uncertainties. • Full posterior probability distribution of the parameters obtained using MCMC....
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Ostace, Anca [verfasserIn]

Chen, Yu-Yen

Parker, Robert

Mebane, David S.

Okoli, Chinedu O.

Lee, Andrew

Tong, Andrew

Fan, Liang-Shih

Biegler, Lorenz T.

Burgard, Anthony P.

Miller, David C.

Bhattacharyya, Debangsu

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2022

Schlagwörter:

Bayesian calibration

Oxygen carrier

Parameter uncertainty

Uncertainty quantification

Model structure uncertainty

Chemical looping

Bayesian model building

Übergeordnetes Werk:

Enthalten in: Plasticity in responses to dimensional variations of soil space in 19 grassland plant species - Dong, Ran ELSEVIER, 2022, Amsterdam [u.a.]

Übergeordnetes Werk:

volume:252 ; year:2022 ; day:28 ; month:04 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.ces.2022.117512

Katalog-ID:

ELV057061785

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