Intensification of moisture separation in the pulp convective drying process with ultrasound-assisted method.

Convective drying Intensification Moisture separation Pulp Ultrasound

Journal

Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523

Informations de publication

Date de publication:
18 Dec 2023
Historique:
received: 16 11 2023
revised: 17 12 2023
accepted: 17 12 2023
medline: 21 12 2023
pubmed: 21 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

Traditional pulp convective drying (CD) is time-consuming and energy-intensive. This study aimed to assess the drying performance of pulp using ultrasound-assisted drying (UAD) and compared it with CD to intensify moisture separation. UAD was found to be fast and efficient with high effective moisture diffusivity of 2.77 × 10-10 ∼ 3.20 × 10-10 m2/s, low activation energy of 20.2 kJ/mol, and short drying time of 21.0 ∼ 16.5 min. It demonstrated that applying ultrasound could promote moisture separation with 26 ∼ 42 % reductions in drying time and 42 %∼22 % savings in energy consumption. The constant rate period was not presented and no significant differences in drying rates were observed when the moisture ratio was below 0.43 under the investigated conditions. The kinetics modeling results indicated that the Page model was the best to predict the pulp drying kinetics for both methods. It may lead to an alternative efficient approach for decarbonizing the drying process in pulp and paper production.

Identifiants

pubmed: 38122997
pii: S0960-8524(23)01654-1
doi: 10.1016/j.biortech.2023.130226
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

130226

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Lingbo Kong (L)

Department of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, 710021 Xi'an, China; Fraunhofer Institute for Systems and Innovation Research ISI, 76139 Karlsruhe, Germany. Electronic address: lbkong@sust.edu.cn.

Jiahao Li (J)

Department of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, 710021 Xi'an, China.

Wolfgang Eichhammer (W)

Fraunhofer Institute for Systems and Innovation Research ISI, 76139 Karlsruhe, Germany; Copernicus Institute of Sustainable Development, Utrecht University, 3584 CB Utrecht, Netherlands.

Classifications MeSH