Next Article in Journal
Extraction of Rice Bran Oil Using CO2-Expanded Hexane in the Two-Phase Region
Previous Article in Journal
Experimental Study on the Performance of a Dew-Point Evaporative Cooling System with a Nanoporous Membrane
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Energies
Volume 15
Issue 7
10.3390/en15072593
energies-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Novel Method for the Estimation of Higher Heating Value of Municipal Solid Wastes

by
Weiguo Dong
1,
Zhiwen Chen
2,
Jiacong Chen
2,
Zhao Jia Ting
2,
Rui Zhang
1,
Guozhao Ji
3,* and
Ming Zhao
2,*
1
School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China
2
Division of Solid Waste Management, School of Environment, Tsinghua University, Beijing 100084, China
3
Key Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science & Technology, Dalian University of Technology, Dalian 116024, China
*
Authors to whom correspondence should be addressed.
Energies 2022, 15(7), 2593; https://doi.org/10.3390/en15072593
Submission received: 24 February 2022 / Revised: 23 March 2022 / Accepted: 24 March 2022 / Published: 2 April 2022
(This article belongs to the Topic Challenge and Research Trends in Pyrolysis for Waste Raw Materials)
(This article belongs to the Section D1: Advanced Energy Materials)
Browse Figures
Versions Notes

Abstract

The measurement of the higher heating value (HHV) of municipal solid wastes (MSWs) plays a key role in the disposal process, especially via thermochemical approaches. An optimized multi-variate grey model (OBGM (1, N)) is introduced to forecast the MSWs’ HHV to high accuracy with sparse data. A total of 15 cities and MSW from the respective city were considered to develop and verify the multi-variant models. Results show that the most accurate model was POBGM (1, 5) of which the least error measured 5.41% MAPE (mean absolute percentage error). Ash, being a major component in MSW, is the most important factor affecting HHV, followed by volatiles, fixed carbon and water contents. Most data can be included by using the prediction interval (PI) method with 95% confidence intervals. In addition, the estimations indicated that the MAPE from estimating the HHV for various MSW samples, collected from various cities, were in the range of 3.06–34.50%, depending on the MSW sample.
Keywords: MSWs; HHV; multi-variate grey model; modeling; biomass MSWs; HHV; multi-variate grey model; modeling; biomass

Share and Cite

MDPI and ACS Style

Dong, W.; Chen, Z.; Chen, J.; Ting, Z.J.; Zhang, R.; Ji, G.; Zhao, M. A Novel Method for the Estimation of Higher Heating Value of Municipal Solid Wastes. Energies 2022, 15, 2593. https://doi.org/10.3390/en15072593

AMA Style

Dong W, Chen Z, Chen J, Ting ZJ, Zhang R, Ji G, Zhao M. A Novel Method for the Estimation of Higher Heating Value of Municipal Solid Wastes. Energies. 2022; 15(7):2593. https://doi.org/10.3390/en15072593

Chicago/Turabian Style

Dong, Weiguo, Zhiwen Chen, Jiacong Chen, Zhao Jia Ting, Rui Zhang, Guozhao Ji, and Ming Zhao. 2022. "A Novel Method for the Estimation of Higher Heating Value of Municipal Solid Wastes" Energies 15, no. 7: 2593. https://doi.org/10.3390/en15072593

APA Style

Dong, W., Chen, Z., Chen, J., Ting, Z. J., Zhang, R., Ji, G., & Zhao, M. (2022). A Novel Method for the Estimation of Higher Heating Value of Municipal Solid Wastes. Energies, 15(7), 2593. https://doi.org/10.3390/en15072593

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop