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Electricity power generation from co-gasification of municipal solid wastes and biomass: Generation and emission performance

Abstract Global generation of municipal solid waste (MSW) is predicted to reach over 2.2 billion tons/year in 2025. Landfilling and incineration, the two most common conventional techniques for MSW processing, negatively impact public health. This study developed and demonstrated electricity generation by co-gasification of two underutilized resources: MSW and agricultural biomass. A patented design of 60-kW downdraft gasifier and an internal combustion engine with 10 kW generator were used to generate electricity from co-gasification of various ratios of MSW and biomass. The maximum heating values (LHV) of syngas obtained at MSW ratio of 0, 20, and 40 wt.% were 6.91, 7.74, and 6.78 MJ/Nm3, respectively. At all MSW to biomass ratios, the maximum electric load generated was 5 kW, with electrical efficiencies of 22, 20, and 19.5% at MSW ratios of 0, 20, and 40 wt.%, respectively. The engine CO, NOx, SO2, and CO2 emission decreased with increasing load, while HC emission increased with increasing load. CO, NOx, and CO2 emissions decreased, while HC and SO2 emissions increased with increase in MSW ratio. Thus, the co-gasification system provides a basis for future development of small-scale power generation to utilize local wastes.
- Georgia Southern University United States
- Oklahoma State University Oklahoma City United States
- Oklahoma State University–Stillwater United States
- Oklahoma State University–Stillwater United States
- Georgia Southern University United States
Mechanical Engineering, Generation, Electricity power generation, Biomass, Municipal solid wastes, Co-gasification, Emission performance
Mechanical Engineering, Generation, Electricity power generation, Biomass, Municipal solid wastes, Co-gasification, Emission performance
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).57 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
