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Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor

par Savarese, Matteo ;Giuntini, Lorenzo ;Malpica Galassi, Riccardo ;Iavarone, Salvatore ;Galletti, Chiara;De Paepe, Ward;Parente, Alessandro
Référence International journal of hydrogen energy
Publication Publié, 2023-09-01

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Titre:	Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor
Auteur:	Savarese, Matteo; Giuntini, Lorenzo; Malpica Galassi, Riccardo; Iavarone, Salvatore; Galletti, Chiara; De Paepe, Ward; Parente, Alessandro
Informations sur la publication:	International journal of hydrogen energy
Statut de publication:	Publié, 2023-09-01
Sujet CREF:	Sciences de l'ingénieur
Mots-clés:	Ammonia combustion
	Bayesian inference
	Defossilization
	Gas turbine
	Model error
	Optimisation
	Polynomial chaos expansion
	Uncertainty quantification
Note générale:	SCOPUS: ar.j
	Pollution Reduction Design for Innovative Combustion Technologies
	PReDICT
	Marie Skłodowska-Curie Actions; Individual Fellowship at the Université libre de Bruxelles; IFatULB; Grant Agreement number: 801505
Langue:	Anglais
Identificateurs:	urn:issn:0360-3199
	info:doi/10.1016/j.ijhydene.2023.08.275
	info:pii/S0360319923044695
	info:scp/85171381457