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Published on: July 9, 2019
Characterization, thermochemical conversion studies, and heating value modeling of municipal solid waste
Honghong Shi1, Nader Mahinpey1, Aqsha Aqsha1
1Department of Chemical and Petroleum Engineering, University of Calgary, 2500 University Dr. NW, Calgary T2N 1N4, AB, Canada.
This study characterizes municipal solid waste (MSW) and develops a model to predict its high heating value (HHV) using elemental composition. The new model accurately estimates MSW energy content for waste-to-energy applications.
Area of Science:
- Waste Management
- Chemical Engineering
- Energy Recovery
Background:
- Municipal solid waste (MSW) characterization is crucial for effective waste-to-energy (WTE) strategies.
- Accurate estimation of the high heating value (HHV) of MSW is essential for optimizing WTE processes.
- Existing models for HHV estimation require validation and improvement for diverse MSW streams.
Purpose of the Study:
- To analyze the physical and chemical properties of MSW from Red Deer, Alberta.
- To investigate the thermal decomposition behavior of MSW using thermogravimetric analysis (TGA).
- To develop and validate a new empirical model for predicting the HHV of MSW.
Main Methods:
- Experimental determination of moisture content, proximate and ultimate compositions, and HHV for fourteen MSW categories.
- Thermogravimetric analysis (TGA) to study thermal weight loss under pyrolysis/torrefaction.
- Multiple regression analysis and stepwise regression using 161 data points for model derivation and 32 for validation.
Main Results:
- The developed empirical model for HHV estimation is HHV (MJ/kg)=0.350C+1.01H-0.0826O, based on dry weight percentages of carbon (C), hydrogen (H), and oxygen (O).
- The model demonstrated high accuracy in predicting HHV, with validation results closely matching experimental values.
- The new model exhibited a lower error level compared to seven other existing models from the literature.
Conclusions:
- The developed empirical model provides a reliable and accurate method for estimating the HHV of MSW.
- This model can aid in the efficient design and operation of waste-to-energy facilities.
- The study contributes valuable data and a predictive tool for sustainable MSW management and energy recovery.
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