Research on Intelligent Coupling SNCR/SCR Denitrification Technology for Thermal Power Station Boilers Based on Artificial Intelligence

Chunguang Zhou; Hao Yu; Shunguo Cai; Hongming Qiu; Zhiqiang Chen; Gang Huang

doi:10.54097/cackz695

Authors

Chunguang Zhou
Hao Yu
Shunguo Cai
Hongming Qiu
Zhiqiang Chen
Gang Huang

DOI:

https://doi.org/10.54097/cackz695

Keywords:

Denitrification technology, Thermal power station boilers, Multi-objective optimization, Operational stability, Carbon neutrality

Abstract

This study presents an exploration of the implementation of intelligent coupling SNCR/SCR denitrification technology for thermal power station boilers, addressing the global imperatives of carbon peaking and carbon neutrality. By leveraging artificial intelligence (AI) techniques and advanced control strategies, the project has developed an innovative technical solution that integrates multi-objective optimization algorithms, data-driven predictive models, and fuzzy control algorithms. This solution not only tackles the complexities inherent in the denitrification process but also optimizes operational efficiency and reduces environmental impact. The technology is expected to significantly reduce nitrogen oxide (NOx) emissions, meeting or exceeding national environmental standards, while yielding substantial economic benefits through optimized ammonia consumption and reduced operational costs. Furthermore, the integration of intelligent control strategies enhances operational stability and reliability. Future prospects for the technology include the exploration of advanced AI techniques, integration with the Internet of Things (IoT) and big data analytics, efforts towards standardization and scalability, collaboration with policymakers and regulatory bodies, and raising public awareness. The intelligent coupling SNCR/SCR denitrification technology represents a significant step towards achieving carbon peaking and carbon neutrality goals, with immense potential to transform the thermal power industry.

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