Generalized models to predict the lower heating value (LHV) of municipal solid waste (MSW)

Wang, D., Tang, Y.-T., He, J. et al. (2 more authors) (2020) Generalized models to predict the lower heating value (LHV) of municipal solid waste (MSW). Energy. ISSN 0360-5442

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Elsevier. This is an author produced version of a paper subsequently published in Energy. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: LHV prediction; Physical composition of municipal solid waste; Multiple regression; Artificial neural network
Dates:
  • Accepted: 8 November 2020
  • Published (online): 18 November 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Dec 2020 11:55
Last Modified: 09 Dec 2020 13:54
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.energy.2020.119279

Download

Accepted Version


Embargoed until: 18 November 2021

Filename: Manuscript_without tracks.pdf

Licence: CC-BY-NC-ND 4.0

Request a copy

file not available

Share / Export

Statistics