Co-disposal technology for sludge and municipal solid waste based on SNCR optimization

Tao Lin, Yan-fen Liao, Tong-hua Dai and Xiao-qian Ma

Energy, 2024, vol. 292, issue C

Abstract: Increasing pressure on the treatment of domestic waste and sewage sludge in large cities has led to a trend towards large-capacity incinerators and blended combustion. The steady-state sludge blending combustion process of a 900 t/d waste incinerator was simulated using numerical software. The objective was to analyze the impact of the sludge blending ratio on the combustion characteristics, identify the ideal sludge blending ratio for this type of furnace, and then optimally adjust the selective non-catalytic reduction (SNCR) spray gun to achieve low pollutant emissions. The findings indicate that the temperature, turbulence and residence time at 850 °C (3T principle), which takes into consideration elements like NOx emission control and high-temperature corrosion of flue equipment, has a maximum sludge blending ratio of 10%. In terms of optimization of the number and structure of SNCR spray guns, seven spray guns arranged in a double layer were for the SNCR scheme, which has a de-commissioning efficiency of 55.81%. The article's study findings assist and serve as a resource for SNCR spray gun optimization as well as operational optimization of high-capacity garbage incinerators.

Keywords: Numerical simulation; Sludge blending combustion; SNCR optimization; Waste incinerator (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224003542
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:292:y:2024:i:c:s0360544224003542

DOI: 10.1016/j.energy.2024.130582

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().