Data-driven NO x Stability Evaluation

doi:10.12096/j.2096-4528.pgt.21139

Abstract

Abstract:

The stability of NO _x concentration in a coal-fired unit affects the operation performance of denitrification system. By constructing the stability evaluation model, the quantitative evaluation of the big data distribution of NO _x concentration was realized. The original big data cleaning method combining K-means clustering and 3σ criterion was constructed, and the data of different working conditions were divided by the sliding window method. A NO _x concentration reference value model was established based on the least-squares regression method. Based on the deviation degree, the deviation degree function and the stability coefficient function were constructed, and the stability scoring function was obtained after normalization, so as to realize the quantitative evaluation of the stability of full load NO _x . The model was used to evaluate NO _x data from a 660 MW coal-fired unit. The results show that the overall concentration of NO _x concentration distribution is high and positively correlated with load rate. The stability score of variable load condition is about 2.35% lower than that of stable condition. When the load rate is increased from 50% to 100%, the stability score is increased by 21.28%. It shows that the model can effectively evaluate the stability of NO _x_{distribution and provide a basis for benchmarking coal-fired units.}

Key words: coal-fired unit, NO _x stability, data cleaning, least-squares regression, steady state detection

CLC Number:

TK 09

Jiaqi PENG, Haiping XIAO, Zhuyu DONG, Baomin SUN, Ling BAI, Zhichun SUN. Data-driven NO _x Stability Evaluation[J]. Power Generation Technology, 2023, 44(2): 163-170.

Figures/Tables 8

Fig. 1 Data cleaning results

Fig. 2 Comparison of the actual value of NO x concentration with the reference value

Fig. 3 Distribution of NO x concentration deviation under different working conditions

Tab. 1 NO x concentration deviation proportion in different intervals

工况	区间占比/%
工况	$δ < σ$	$δ < 2 σ$	$δ < 3 σ$
全负荷	78.34	94.10	98.29
稳负荷	78.49	94.10	98.29
升负荷	76.73	94.39	98.59
降负荷	77.33	93.67	98.14

Tab. 1 NO x concentration deviation proportion in different intervals

工况	区间占比/%
工况	$δ < σ$	$δ < 2 σ$	$δ < 3 σ$
全负荷	78.34	94.10	98.29
稳负荷	78.49	94.10	98.29
升负荷	76.73	94.39	98.59
降负荷	77.33	93.67	98.14

Fig. 4 Distribution of NO x concentration deviation in stable conditions under different loads

Tab. 2 Distribution of NO x concentration deviation under three typical working conditions

工况	区间占比/%
工况	$δ < σ$	$δ < 2 σ$	$δ < 3 σ$
100%负荷	88.23	96.46	98.51
70%负荷	78.47	95.34	99.10
50%负荷	77.84	94.44	97.52

Tab. 2 Distribution of NO x concentration deviation under three typical working conditions

工况	区间占比/%
工况	$δ < σ$	$δ < 2 σ$	$δ < 3 σ$
100%负荷	88.23	96.46	98.51
70%负荷	78.47	95.34	99.10
50%负荷	77.84	94.44	97.52

Tab. 3 NO x stability grade under different working conditions

工况	全负荷	稳负荷	升负荷	降负荷
得分	89.00	89.09	87.80	88.68

Tab. 4 NO x stability grade under steady load at different load rates

负荷率/%	100	70	50
得分	98.78	94.03	87.50

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