A systematic analytical framework for multi-source municipal solid waste characterization for energy recovery

Nabulime, Maureen Norah [University of Maryland, College Park, MD (United States)]; Li, Yebo [Quasar Energy Group, Independence, OH (United States)]; Wang, Zhiwu [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)]; Ding, Ling [Idaho National Laboratory (INL), Idaho Falls, ID (United States)]; Yu, Zhongtang [Ohio State University, Columbus, OH (United States)]; Yu, Fei [Mississippi State University, Starkville, MS (United States)]; Ge, Xumeng [Quasar Energy Group, Independence, OH (United States)]; Chuenchart, Wachiranon [Quasar Energy Group, Independence, OH (United States)]; Lansing, Stephanie [University of Maryland, College Park, MD (United States)] (ORCID:0000000191693823)

doi:10.1016/j.mex.2026.104012

DOE OSTI · 3376189

A systematic analytical framework for multi-source municipal solid waste characterization for energy recovery

Nabulime, Maureen Norah [University of Maryland, College Park, MD (United States)]·Li, Yebo [Quasar Energy Group, Independence, OH (United States)]·Wang, Zhiwu [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)]·Ding, Ling [Idaho National Laboratory (INL), Idaho Falls, ID (United States)]·Yu, Zhongtang [Ohio State University, Columbus, OH (United States)]·Yu, Fei [Mississippi State University, Starkville, MS (United States)]·Ge, Xumeng [Quasar Energy Group, Independence, OH (United States)]·Chuenchart, Wachiranon [Quasar Energy Group, Independence, OH (United States)]·Lansing, Stephanie [University of Maryland, College Park, MD (United States)] (ORCID:0000000191693823)

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Abstract

Advancing municipal solid waste (MSW) management from disposal-oriented practices toward circular, value-driven systems requires standardized methodologies capable of identifying material composition and resource recoverable potential at the point of generation. Despite extensive research, MSW characterization remains fragmented due to inconsistences in sampling methodologies, waste sorting categories, and temporal coverage across previous studies which limit cross-site comparability, reproducibility, and constrain the reliable evaluation of potential resource recovery pathways. This lack of consistency has hindered the development of a unified framework for MSW characterization and resource assessment. This study introduces a standardized, field-validated protocol for MSW sampling and composition analysis that ensures consistent, traceable data across diverse waste sources. The protocol integrates randomized spatial sampling, systematic material sorting, and controlled subsampling for multi-site and multi-season field campaigns. Validation included MSW collection from residential, grocery, restaurant, and school MSW streams across five U.S. states, including Maryland, Idaho, Virginia, Ohio, and Mississippi, to demonstrate the protocol’s ability to identify source-based composition patterns relevant to resource recovery applications. Grocery and restaurant streams were dominated by food waste and high-moisture organics, while school waste contained higher paper content and residential waste showed greater heterogeneity. Aggregation into energy-relevant fractions highlighted practical recovery pathways via anaerobic digestion or gasification, supporting data-driven planning, policy, and circular economy strategies for sustainable waste management across waste sources.

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09 BIOMASS FUELS Anaerobic digestion Gasification MSW sorting methods Moisture Recycling

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Nabulime, Maureen Norah [University of Maryland, College Park, MD (United States)], Li, Yebo [Quasar Energy Group, Independence, OH (United States)], Wang, Zhiwu [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)], Ding, Ling [Idaho National Laboratory (INL), Idaho Falls, ID (United States)], Yu, Zhongtang [Ohio State University, Columbus, OH (United States)], Yu, Fei [Mississippi State University, Starkville, MS (United States)], Ge, Xumeng [Quasar Energy Group, Independence, OH (United States)], Chuenchart, Wachiranon [Quasar Energy Group, Independence, OH (United States)], Lansing, Stephanie [University of Maryland, College Park, MD (United States)] (ORCID:0000000191693823). 2026-06-19. A systematic analytical framework for multi-source municipal solid waste characterization for energy recovery. https://doi.org/10.1016/j.mex.2026.104012

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