Publication detail
Modelling the higher heating value of municipal solid waste for assessment of waste-to-energy potential: A sustainable case study
Amen, R. Hameed, J. Albashar, G. Kamran, H.W. Hassan Shah, M.U. Zaman, M.K.U. Mukhtar, A. Saqib, S. Ch, S.I. Ibrahim, M. Ullah, S. Al-Sehemi, A.G. Ahmad, S.R. Klemeš, J.J. Bokhari, A. Asif, S.
English title
Modelling the higher heating value of municipal solid waste for assessment of waste-to-energy potential: A sustainable case study
Type
journal article in Web of Science
Language
en
Original abstract
The municipal solid waste (MSW) is widely considered as a heterogeneous source of energy, with numerous characteristics varying depending on its geographical region or origin from where it is collected. The development of correlations for the prediction of the higher heating value (HHV) of MSW is a sustainable and cleaner way based on data of specific region from where MSW is obtained. In this research, a new approach reported for the development of correlations to predict the energy content of MSW accurately. The developed correlations lie within the all parameter affecting the HHV of MSW. The models presented can predict the HHV of MSW accurately (R-2 > 0.8) compared to other models reported in the literature. However, model 13 developed on the basis of ultimate analysis demonstrated maximum accuracy (R-2 = 0.919) among all 7 developed models. The aim of developing the prediction model for the HHV of different MSW samples was to reliably predict using proximate or ultimate analytical data to save experimentation costs and provide theoretical foundations for modelling MSW combustion, pyrolysis processes and thermal conversion for the energy security. (c) 2020 Elsevier Ltd. All rights reserved.
English abstract
The municipal solid waste (MSW) is widely considered as a heterogeneous source of energy, with numerous characteristics varying depending on its geographical region or origin from where it is collected. The development of correlations for the prediction of the higher heating value (HHV) of MSW is a sustainable and cleaner way based on data of specific region from where MSW is obtained. In this research, a new approach reported for the development of correlations to predict the energy content of MSW accurately. The developed correlations lie within the all parameter affecting the HHV of MSW. The models presented can predict the HHV of MSW accurately (R-2 > 0.8) compared to other models reported in the literature. However, model 13 developed on the basis of ultimate analysis demonstrated maximum accuracy (R-2 = 0.919) among all 7 developed models. The aim of developing the prediction model for the HHV of different MSW samples was to reliably predict using proximate or ultimate analytical data to save experimentation costs and provide theoretical foundations for modelling MSW combustion, pyrolysis processes and thermal conversion for the energy security. (c) 2020 Elsevier Ltd. All rights reserved.
Keywords in English
Bomb calorimeter; Higher heating value; Municipal solid waste; Proximate analysis; Sustainable development; Ultimate analysis
Released
10.03.2021
Publisher
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Location
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
ISSN
0959-6526
Number
287
Pages from–to
125575–125575
Pages count
13
BIBTEX
@article{BUT168258,
author="Blanka {Balabánová} and Jiří {Klemeš},
title="Modelling the higher heating value of municipal solid waste for assessment of waste-to-energy potential: A sustainable case study",
year="2021",
number="287",
month="March",
pages="125575--125575",
publisher="ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND",
address="ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND",
issn="0959-6526"
}