• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Parcourir

    Tout UVaDOCCommunautésPar date de publicationAuteursSujetsTitres

    Mon compte

    Ouvrir une session

    Statistiques

    Statistiques d'usage de visualisation

    Compartir

    Voir le document 
    •   Accueil de UVaDOC
    • PUBLICATIONS SCIENTIFIQUES
    • Departamentos
    • Dpto. Ingeniería Energética y Fluidomecánica
    • DEP46 - Artículos de revista
    • Voir le document
    •   Accueil de UVaDOC
    • PUBLICATIONS SCIENTIFIQUES
    • Departamentos
    • Dpto. Ingeniería Energética y Fluidomecánica
    • DEP46 - Artículos de revista
    • Voir le document
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/79300

    Título
    Predicting NOx emissions from ammonia engines – Fuel and thermal effects
    Autor
    Cova Bonillo, A.
    Gabana Molina, PedroAutoridad UVA Orcid
    Khedkar, N.
    Brinklow, G.
    Wu, M.
    Herreros, J.M.
    Zeraati-Rezaei, S.
    Tsolakis, A.
    Ambalakatte, A.
    Cairns, A.
    Hall, J.
    Año del Documento
    2025
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    International Journal of Hydrogen Energy, Volume 187, 2025, 150734
    Résumé
    Ammonia, a promising zero-carbon fuel, faces engine application challenges from high NOx and ammonia slip. A key knowledge gap remains in predicting NOx and ammonia slip with chemical kinetic mechanisms within complex engine environments, beyond simple metrics. This research evaluates 14 ammonia combustion mechanisms in a spark-ignition (SI) engine model, using a two-zone thermodynamic approach. Experimental data from stoichiometric pure ammonia combustion in a research engine validate NOx predictions. The analysis details NOx formation, NH3 slip, NO production rates, and differentiates thermal-NOx from fuel-NOx. While most mechanisms predict NOx within 20 % error, those by Otomo, Stagni, and Nakamura show superior accuracy. Furthermore, a significant divergence in N2O predictions was found; only the Konnov mechanism yielded plausible concentrations (14–24 ppm), exposing a common limitation in other models. This study identifies thermal-NOx as ∼75 % of total NOx, offering vital insights for targeted emission control and guiding mechanism selection for engine development.
    Materias (normalizadas)
    Ammonia
    NOx
    Prediction
    Combustion
    Engine
    Kinetic mechanism
    ISSN
    0360-3199
    Revisión por pares
    SI
    DOI
    10.1016/j.ijhydene.2025.150734
    Patrocinador
    ESPRC forma parte del Proyecto de investigación MariNH3 (EPSRC Ref: EP/W016656/1)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S0360319925037334?via%3Dihub#sec7
    Propietario de los Derechos
    © Autores
    Idioma
    spa
    URI
    https://uvadoc.uva.es/handle/10324/79300
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP46 - Artículos de revista [107]
    Afficher la notice complète
    Fichier(s) constituant ce document
    Nombre:
    Predicting Nox.pdf
    Tamaño:
    5.947Mo
    Formato:
    Adobe PDF
    Thumbnail
    Voir/Ouvrir
    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 Internacional

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10