• 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. Química Analítica
    • DEP60 - Artículos de revista
    • Voir le document
    •   Accueil de UVaDOC
    • PUBLICATIONS SCIENTIFIQUES
    • Departamentos
    • Dpto. Química Analítica
    • DEP60 - 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:http://uvadoc.uva.es/handle/10324/26384

    Título
    Optimization of a Thermal Hydrolysis process for sludge pre-treatment
    Autor
    Sapkaite, Leva
    Barrado Esteban, EnriqueAutoridad UVA Orcid
    Fernández-Polanco Fernández de Moreda, FernandoAutoridad UVA Orcid
    Pérez Elvira, Sara IsabelAutoridad UVA Orcid
    Año del Documento
    2017
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Journal of Environmental Management, 2017, Volume 192, p. 25-30
    Résumé
    At industrial scale, thermal hydrolysis is the most used process to enhance biodegradability of the sludge produced in wastewater treatment plants. Through statistically guided Box-Behnken experimental design, the present study analyses the effect of TH as pre-treatment applied to activated sludge. The selected process variables were temperature (130-180ºC), time (5-50 minutes) and decompression mode (slow or steam-explosion effect), and the parameters evaluated were sludge solubilisation and methane production by anaerobic digestion. A quadratic polynomial model was generated to compare the process performance for the 15 different combinations of operation conditions by modifying the process variables evaluated. The statistical analysis performed exhibited that methane production and solubility were significantly affected by pre-treatment time and temperature. During high intensity pre-treatment (high temperature and long times), the solubility increased sharply while the methane production exhibited the opposite behaviour, indicating the formation of some soluble but non-biodegradable materials. Therefore, solubilisation is not a reliable parameter to quantify the efficiency of a thermal hydrolysis pre-treatment, since it is not directly related to methane production. Based on the operational parameters optimization, the estimated optimal thermal hydrolysis conditions to enhance of sewage sludge digestion were: 140-170°C heating temperature, 5-35min residence time, and one sudden decompression.
    Palabras Clave
    Hidrólisis térmica
    ISSN
    0301-4797
    Revisión por pares
    SI
    DOI
    10.1016/j.jenvman.2017.01.043
    Version del Editor
    http://www.sciencedirect.com/science/article/pii/S0301479717300622
    Propietario de los Derechos
    Elsevier
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/26384
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP60 - Artículos de revista [113]
    • GTA - Artículos de revista [41]
    Afficher la notice complète
    Fichier(s) constituant ce document
    Nombre:
    Sludge_JEM_2017.pdf
    Tamaño:
    1.315Mo
    Formato:
    Adobe PDF
    Thumbnail
    Voir/Ouvrir

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10