Study on emission factor and reduction potential of organic solid waste gasification process DOI Creative Commons

Deyong Peng,

Xianan Xiang,

Zhiya Deng

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 53, P. 103978 - 103978

Published: Jan. 1, 2024

This paper conducts an in-depth study on the gasification treatment of Organic Solid Waste (OSW) and its carbon emissions, intending to fill gap in existing literature regarding calculation methods for emissions from OSW gasification. The establishes a methodology calculating emission factors during process explores potential negative emissions. For this purpose, indicator including Carbon Dioxide Equivalent Warming Number (CEWN) is used assess greenhouse gas by under different conditions. It found that within certain range, increasing temperature, Equivalence Ratio (ER), Steam Biomass ratio (S/B) can positively influences achievement These findings hold significant implications optimizing process, reducing ultimately achieving neutrality. Furthermore, fills critical void field IPCC framework offers essential guidance promoting achieve peak industry accelerating goal

Language: Английский

Comparison and prediction of shallow groundwater nitrate in Shaying River basin based on urban distribution using multiple machine learning approaches DOI Open Access
Zipeng Huang,

Baonan He,

Yanjia Chu

et al.

Water Environment Research, Journal Year: 2025, Volume and Issue: 97(2)

Published: Feb. 1, 2025

Groundwater, a pivotal water resource in numerous regions worldwide, confronts formidable challenges posed by severe nitrate pollution. Traditional research methodologies aimed at addressing groundwater contamination frequently struggle to accurately depict the intricate conditions of environment, particularly when dealing with high variability and nonlinear data. However, advent machine learning (ML) has heralded an innovative approach simulating dynamics. In this study, six ML algorithms were deployed model concentrations shallow nitrates Shaying River Basin. The efficacy each was assessed through comprehensive metrics including coefficient determination (R2), mean absolute error (MAE), root square (RMSE), gauging alignment between observed predicted levels. Subsequently, discern principal environmental factors influencing NO3-N concentrations, most proficient selected. Among array models, XGB algorithm, renowned for its capacity handle extreme values, demonstrated superior performance (R2 = 0.773, MAE 7.625, RMSE 11.92). Through in-depth analysis across major urban centers, Fuyang city identified as heavily contaminated locale, attributing phenomenon potential sources such domestic sewage agricultural activities (feature importance Cl- 78.64%). Conversely, Zhengzhou emerged least polluted city, notable influences from K+ NO2 - 52.06% 18.41%), indicative prevailing reducing environment compared other cities. summation, study explores methodology amalgamating diverse variables investigation contamination. Such insights hold profound implications effective management mitigation Basin, offering demonstration similar endeavors analogous regions. PRACTITIONER POINTS: Six models utilized simulate pollution prediction outperformed models. Relative using model. Impact main on discussed.

Language: Английский

Citations

1
Future projections and life cycle assessment of end-of-life tires to energy conversion in Hong Kong: Environmental, climate and energy benefits for regional sustainability DOI

Chaoshuo Liu,

Jingzheng Ren, Yusha Hu

et al.

Sustainable Production and Consumption, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1
Microplastics in freshwater and marine ecosystems: Occurrence, characterization, sources, distribution dynamics, fate, transport processes, potential mitigation strategies, and policy interventions DOI
Toheeb Lekan Jolaosho,

Mariam Folashade Rasaq,

Eniola Victoria Omotoye

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 294, P. 118036 - 118036

Published: March 18, 2025

Language: Английский

Citations

1
Optimization of an eco-friendly municipal solid waste-to-multi-generation energy scheme integrated by MSW gasification and HSOFC: Regression analysis and machine learning study DOI

Weiyan Xu,

Jielei Tu,

Ning Xu

et al.

Process Safety and Environmental Protection, Journal Year: 2023, Volume and Issue: 182, P. 166 - 175

Published: Nov. 26, 2023

Language: Английский

Citations

17
Study on emission factor and reduction potential of organic solid waste gasification process DOI Creative Commons

Deyong Peng,

Xianan Xiang,

Zhiya Deng

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 53, P. 103978 - 103978

Published: Jan. 1, 2024

This paper conducts an in-depth study on the gasification treatment of Organic Solid Waste (OSW) and its carbon emissions, intending to fill gap in existing literature regarding calculation methods for emissions from OSW gasification. The establishes a methodology calculating emission factors during process explores potential negative emissions. For this purpose, indicator including Carbon Dioxide Equivalent Warming Number (CEWN) is used assess greenhouse gas by under different conditions. It found that within certain range, increasing temperature, Equivalence Ratio (ER), Steam Biomass ratio (S/B) can positively influences achievement These findings hold significant implications optimizing process, reducing ultimately achieving neutrality. Furthermore, fills critical void field IPCC framework offers essential guidance promoting achieve peak industry accelerating goal

Language: Английский

Citations

8