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

• Published in: Journal of cleaner production Vol. 287; p. 125575
• Main Authors: Amen, Rabia, Hameed, Javaria, Albashar, Gadah, Kamran, Hafiz Waqas, Hassan Shah, Mansoor Ul, Zaman, Muhammad Khaliq U, Mukhtar, Ahmad, Saqib, Sidra, Ch, Saqib Iqbal, Ibrahim, Muhammad, Ullah, Sami, Al-Sehemi, Abdullah G., Ahmad, Sajid Rashid, Klemeš, Jiří Jaromír, Bokhari, Awais, Asif, Saira
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 10.03.2021
• Subjects: Bomb calorimeter; Higher heating value; Municipal solid waste; Proximate analysis; Sustainable development; Ultimate analysis; Bomb calorimeter; Higher heating value; Sustainable development; Ultimate analysis; Municipal solid waste; Proximate analysis
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2020.125575

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 (R2 > 0.8) compared to other models reported in the literature. However, model 13 developed on the basis of ultimate analysis demonstrated maximum accuracy (R2 = 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. [Display omitted] •Municipal solid waste (MSW) samples were collected and characterized from Lahore.•Higher heating value (HHV) of MSW samples were measured precisely.•Eureqa-Formulize software was employed to develop HHV prediction models.•The developed models are compared with the reported models.