V-shaped effect of primary and secondary airflow momentum ratio on performance of a 660 MW tangentially fired lignite boiler: Identification and verification DOI
Zixiang Li, Binbin Peng, Qichao Zhang

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 252, P. 123565 - 123565

Published: May 31, 2024

Language: Английский

A review on carbon emission accounting approaches for the electricity power industry DOI
Yaowang Li,

Xuxin Yang,

Ershun Du

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 359, P. 122681 - 122681

Published: Jan. 22, 2024

Language: Английский

Citations

53
Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction DOI
Zhenhao Tang,

Mengxuan Sui,

Xu Wang

et al.

Energy, Journal Year: 2024, Volume and Issue: 299, P. 131500 - 131500

Published: May 2, 2024

Language: Английский

Citations

25
Application of a composite parameter-driven TimeMixer model for Multi-Step prediction of NOx at the SCR Inlet of a 660 MW boiler DOI
Yanpeng Chen, Haiping Xiao,

C. X. Hong

et al.

Fuel, Journal Year: 2025, Volume and Issue: 386, P. 134060 - 134060

Published: Jan. 8, 2025

Language: Английский

Citations

2
Carbon Dioxide Sensing Based on Off-Axis Integrated Cavity Absorption Spectroscopy Combined with the Informer and Multilayer Perceptron Models DOI
Kehao Zhang, Tao Wu, Linlin Shen

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Off-axis integrated cavity output spectroscopy (OA-ICOS) allows the laser to be reflected multiple times inside cavity, increasing effective absorption path length and thus improving sensitivity. However, OA-ICOS systems are affected by various types of noise, traditional filtering methods offer low processing efficiency perform limited feature extraction. Deep learning models enable us extract important features from large-scale, complex spectral data analyze them efficiently accurately. We propose a carbon dioxide (CO2) sensor operating in near-infrared region (1.602 μm) based on deep models. A radiofrequency (RF) noise source is employed reduce cavity-mode improve signal-to-noise ratio (SNR). time-series-based neural network, known as informer, for CO2 time series. After filtering, directly extracted filtered concentrations predicted using multilayer perceptron (MLP) model. Our results showed that SNR attained informer approximately double those obtained (Savitzky-Golay Kalman wavelet threshold). The linear correlation coefficient (R2) between measured standard was increased 79.74% (obtained absorption-peak-fitting method) 98.52% proposed MLP model). Moreover, detection limit model reached 1.38 ppm at 224.4 s, 3.79-fold improvement compared method. demonstrate feasibility integrating field spectroscopy-based sensing provide promising approach processing.

Language: Английский

Citations

1
Prediction of NOx Emission from SCR Zonal Ammonia Injection System of Boiler based on Ensemble Incremental Learning DOI
Ze Dong, Wei Jiang, Zheng Wu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135049 - 135049

Published: Feb. 1, 2025

Language: Английский

Citations

1
Strategy and Technical Progress of Recycling of Spent Vanadium–Titanium-Based Selective Catalytic Reduction Catalysts DOI Creative Commons
Jianying Zhao, Xiaoguang Zhang,

Feihua Yang

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(6), P. 6036 - 6058

Published: Jan. 29, 2024

Selective catalytic reduction denitration technology, abbreviated as SCR, is essential for the removal of nitrogen oxide from flue gas coal-fired power stations and has been widely used. Due to strong demand energy requirements environmental protection, a large amount SCR catalyst waste produced. The spent contains high-grade valuable metals, proper disposal or treatment can protect environment realize resource recycling. This review focuses on two main routes regeneration recycling vanadium–titanium catalysts that are currently most commercially used summarizes in detail technologies recycling, high-efficiency components catalysts. also discusses depth future development direction It provides reference promoting which crucial recovery green low-carbon development.

Language: Английский

Citations

6
Dynamic risk early warning system for tunnel construction based on two-dimensional cloud model DOI

Huaiyuan Sun,

Mengqi Zhu,

Yiming Dai

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124799 - 124799

Published: July 14, 2024

Language: Английский

Citations

4
An improved control strategy for a denitrification system using cooperative control of NH3 injection and flue gas temperature for coal-fired power plants DOI
Wei Gao, Ming Liu,

Junjie Yin

et al.

Energy, Journal Year: 2023, Volume and Issue: 282, P. 128759 - 128759

Published: Aug. 24, 2023

Language: Английский

Citations

10
A novel grey multivariate convolution model based on the improved marine predators algorithm for predicting fossil CO2 emissions in China DOI
Haoze Cang, Xiangyan Zeng, Shuli Yan

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 243, P. 122865 - 122865

Published: Dec. 7, 2023

Language: Английский

Citations

10
A hydrogen concentration evolution prediction method for hydrogen refueling station leakage based on the Informer model DOI
Qiulan Wu,

Yubo Bi,

Jihao Shi

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0