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The Bidirectional Information Fusion Using an Improved LSTM Model

Tianwei Zheng, Mei Wang, Yuan Guo, Zheng Wang
2021 Mobile Information Systems  
The information fusion technology is of great significance in intelligent systems. At present, the modern coal-fired power plant has the fully functional sensor network.  ...  However, many data that are important for the operation of a power plant, such as the coal quality, cannot be directly obtained.  ...  Acknowledgments is work was supported by the Shaanxi Province Science and Technology Project (2016GY-040) and the National Natural Science Foundation of China (51804249).  ... 
doi:10.1155/2021/5595898 doaj:e0cc68a8cfc84b92a70297e7b78f4362 fatcat:vhbwfs7w2ngllionahi34lu4iq

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning [article]

Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng
2022 arXiv   pre-print
DeepThermal has been successfully deployed in four large coal-fired thermal power plants in China.  ...  Optimizing the combustion efficiency of a thermal power generating unit (TPGU) is a highly challenging and critical task in the energy industry.  ...  Acknowledgments A preliminary version of this work was accepted as a spotlight paper in RL4RealLife workshop at ICML 2021.  ... 
arXiv:2102.11492v3 fatcat:lpfion3r2jhcrn5yxtmnoqpnjq

An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process

Jian Tang, Tianzheng Wang, Heng Xia, Canlin Cui
2024 Sustainability  
However, a noticeable shortage exists in the current research of the review literature concerning AI in the field of WTE, particularly MSWI, hindering a focused understanding of future development directions  ...  Theoretically, AI holds the potential to facilitate optimal control of the MSWI process in terms of achieving minimal pollution emissions and maximal energy efficiency.  ...  MIMO Control (1) Double input and double output For the simultaneous control of steam flow and flue gas oxygen content, Leskens et al.  ... 
doi:10.3390/su16052042 fatcat:ilxbnayj2nhtfabyxpv3jkbs7u

Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review

Yongliang (Harry) Yan, Tohid Borhani, Gokul Subraveti, Nagesh Pai, Vinay Prasad, Arvind Rajendran, Paula Nkulikiyinka, Jude Odianosen Asibor, Zhien Zhang, Ding Shao, Lijuan Wang, Wenbiao Zhang (+7 others)
2021 Energy & Environmental Science  
Carbon Capture Utilisation and Storage (CCUS) will play a critical role in future decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of climate change.  ...  An alternate purpose that ML has been applied to in the calcium looping field, is on the study of the economic feasibility of the post-combustion calcium looping process on a 580 MW coal fired power plant  ...  act as a suitable data-driven soft sensor for the process.  ... 
doi:10.1039/d1ee02395k fatcat:oherbaerwfcarc744bn77pu77y

A Hybrid Soft Sensor Model for Measuring the Oxygen Content in Boiler Flue Gas

Yonggang Wang, Zhida Li, Nannan Zhang
2024
Therefore, accurate measurement of the flue gas's oxygen content is of paramount importance in enhancing the energy utilization efficiency of coal-fired power plants and reducing the emissions of waste  ...  These results indicated that the proposed soft sensor model exhibited more accurate performance, which can meet practical requirements of coal-fired power plants.  ...  Acknowledgments: The authors would like to express their sincere gratitude to the National Natural Science Foundation of China for providing financial support for this research.  ... 
doi:10.3390/s24072340 pmid:38610551 pmcid:PMC11014405 fatcat:73oxtdji6zc4xeza6eu3vdj25u

Proceedings of GSM 2020

Imboden, Christoph (Hrsg.), Bošnjak, Davor (Hrsg.), Friedrich, Andreas K. (Hrsg.), Hatziargyriou, Nikos (Hrsg.), Kudela, Thomas (Hrsg.), Nucci, Carlo Alberto (Hrsg.), Schwark, Bastian (Hrsg.), Svendstrup-Bjerre, Andreas (Hrsg.), Ziegler, Sebastian (Hrsg.), Hock, James (Hrsg.), Moore, Fiona (Hrsg.), Spirig, Michael (Hrsg.)
2020 Zenodo  
With 15 scientific papers and 17 invited presentations, the symposium dealt with market developments, international cooperation, operation and enabling technologies, virtual power plants and flexibility  ...  Expanding flexibility products, digitalization, risk hedging and advanced market design were pointed out as ways of increasing market liquidity.  ...  Disclaimer This conference article is based on the German publication in [9].  ... 
doi:10.5281/zenodo.4284324 fatcat:6u4jopqwlrfhjncmulyldu2h2y

Machine learning-based design and techno-economic assessments of adsorption processes for CO2 capture

Sai Gokul Subraveti
2021
Cyclic adsorption processes are widely considered for various industrial gas separations, including CO 2 capture.  ...  The flexibility to configure a variety of process cycles is an attractive process design feature of these processes.  ...  This range corresponds to flue gas sources from simple cycle gas turbine plants, natural gas combined cycle power plants, coal-fired power plants, cement and steel industries.  ... 
doi:10.7939/r3-30a9-9f35 fatcat:ssanzeo5afgxpbsiilst3eec4i