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.

Original Title

Modelling the higher heating value of municipal solid waste for assessment of waste-to-energy potential: A sustainable case study

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

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

ISBN

0959-6526

Periodical

Journal of Cleaner Production

Number

287

State

US

Pages from

125575

Pages to

125575

Pages count

13

URL

Documents

BibTex


@article{BUT168258,
  author="Jiří {Klemeš}",
  title="Modelling the higher heating value of municipal solid waste for assessment of waste-to-energy potential: A sustainable case study",
  annote="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.",
  address="ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND",
  chapter="168258",
  doi="10.1016/j.jclepro.2020.125575",
  howpublished="online",
  institution="ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND",
  number="287",
  year="2021",
  month="march",
  pages="125575--125575",
  publisher="ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND",
  type="journal article in Web of Science"
}