Feasibility Study of White Smoke Removal of Flue Gas From Wet Desulphurization in Coal-fired Boiler

doi:10.12096/j.2096-4528.pgt.20021

Abstract

Abstract:

Wet plume forms when the wet flue gas from the wet desulphurization system exits into the ambient air, which would bring about visual pollution. In order to completely eliminate the phenomenon of wet plume, the mechanism of the generation and de-whitening of "white smoke" was described firstly, and the technical characteristics and application scope of different wet smoke de-whitening were compared. Take a coal-fired boiler in Nantong area as an example, the enthalpy and humidity map was drawn by analyzing the meteorological data from 2014 to 2016, determine the white smoke elimination control zone and the white smoke control line.The worst weather conditions in 2016 were selected as the design basis, and the flue gas condensation heating technology was selected as the de-whitening process route. By analyzing the relationship between temperature drop and temperature rise of white smoke control line, the relationship between condensation temperature and temperature rise range corresponding to different white smoke control lines was obtained, so as to select the most economical condensation temperature and temperature rise range, which provides theoretical reference for the economic operation of flue gas condensation heating and de whitening process.

Key words: wet plume, flue gas de-whitening, humidity temperature map, condensation and reheating composite technology

CLC Number:

TK16

Feng ZHOU, Xiaohuan ZHI, Da SHEN, Jianjun JIANG, Jian ZOU, Haitao XU, Qiang LI, Yinchun LIANG. Feasibility Study of White Smoke Removal of Flue Gas From Wet Desulphurization in Coal-fired Boiler[J]. Power Generation Technology, 2021, 42(5): 622-629.

Figures/Tables 10

Fig.1 Humidity temperature map of saturated humid air

Fig.2 Elimination of white smoke by flue gas heating

Fig.3 Elimination of white smoke by flue gas condensation

Fig.4 Elimination of white smoke by flue gas cooling and reheating method

Fig.5 The most unfavorable meteorological data map of flue gas de-whitening in Nantong from 2014 to 2016

Fig.6 Distribution of no white smoke times by month and by period

Fig.7 Control mechanism of no white smoke days in flue gas

Fig.8 Control line of 100%, 90% and 80% days without white smoke in each year

Fig.9 Minimum slope control line for 40% to 100% days without white smoke from 2014 to 2016

Fig.10 Relationship between temperature drop and temperature rise without white smoke

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