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Optimizing combustion of coal fired boilers for reducing NOx emission using Gaussian Process
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- Guerras, Lidia S. & Martín, Mariano, 2019. "Optimal gas treatment and coal blending for reduced emissions in power plants: A case study in Northwest Spain," Energy, Elsevier, vol. 169(C), pages 739-749.
- Krzywanski, J. & Czakiert, T. & Nowak, W. & Shimizu, T. & Ashraf, Waqar Muhammad & Zylka, A. & Grabowska, K. & Sosnowski, M. & Skrobek, D. & Sztekler, K. & Kijo-Kleczkowska, A. & Iliev, I., 2024. "Towards cleaner energy: An innovative model to minimize NOx emissions in chemical looping and CO2 capture technologies," Energy, Elsevier, vol. 312(C).
- Sang-Mok Lee & So-Won Choi & Eul-Bum Lee, 2023. "Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)," Energies, MDPI, vol. 16(19), pages 1-33, September.
- Halil Akbaş & Gültekin Özdemir, 2020. "An Integrated Prediction and Optimization Model of a Thermal Energy Production System in a Factory Producing Furniture Components," Energies, MDPI, vol. 13(22), pages 1-29, November.
- Tuttle, Jacob F. & Blackburn, Landen D. & Andersson, Klas & Powell, Kody M., 2021. "A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling," Applied Energy, Elsevier, vol. 292(C).
- Hyuk Choi & Ju-Hong Lee & Ji-Hoon Yu & Un-Chul Moon & Mi-Jong Kim & Kwang Y. Lee, 2023. "One-Step Ahead Control Using Online Interpolated Transfer Function for Supplementary Control of Air-Fuel Ratio in Thermal Power Plants," Energies, MDPI, vol. 16(21), pages 1-18, November.
- Han, Zhezhe & Tang, Xiaoyu & Xie, Yue & Liang, Ruiyu & Bao, Yongqiang, 2024. "Prediction of heavy-oil combustion emissions with a semi-supervised learning model considering variable operation conditions," Energy, Elsevier, vol. 288(C).
- Yingai Jin & Yanwei Sun & Yuanbo Zhang & Zhipeng Jiang, 2022. "Research on Air Distribution Control Strategy of Supercritical Boiler," Energies, MDPI, vol. 16(1), pages 1-19, December.
- Wu, Yixi & Wang, Ziqi & Shi, Chenli & Jin, Xiaohang & Xu, Zhengguo, 2024. "A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance," Energy, Elsevier, vol. 304(C).
- Mollo, Malebo & Kolesnikov, Andrei & Makgato, Seshibe, 2022. "Simultaneous reduction of NOx emission and SOx emission aided by improved efficiency of a Once-Through Benson Type Coal Boiler," Energy, Elsevier, vol. 248(C).
- Aminmahalati, Alireza & Fazlali, Alireza & Safikhani, Hamed, 2021. "Multi-objective optimization of CO boiler combustion chamber in the RFCC unit using NSGA II algorithm," Energy, Elsevier, vol. 221(C).
- Xie, Peiran & Gao, Mingming & Zhang, Hongfu & Niu, Yuguang & Wang, Xiaowen, 2020. "Dynamic modeling for NOx emission sequence prediction of SCR system outlet based on sequence to sequence long short-term memory network," Energy, Elsevier, vol. 190(C).
- Wen, Xiaoqiang & Li, Kaichuang & Wang, Jianguo, 2023. "NOx emission predicting for coal-fired boilers based on ensemble learning methods and optimized base learners," Energy, Elsevier, vol. 264(C).
- Luo, Jianghui & Zou, Chun & He, Yizhuo & Jing, Huixiang & Cheng, Sizhe, 2019. "The characteristics and mechanism of NO formation during pyridine oxidation in O2/N2 and O2/CO2 atmospheres," Energy, Elsevier, vol. 187(C).
- Lei Han & Lingmei Wang & Hairui Yang & Chengzhen Jia & Enlong Meng & Yushan Liu & Shaoping Yin, 2023. "Optimization of Circulating Fluidized Bed Boiler Combustion Key Control Parameters Based on Machine Learning," Energies, MDPI, vol. 16(15), pages 1-23, July.
- Yuan, Jun & Nian, Victor & He, Junliang & Yan, Wei, 2019. "Cost-effectiveness analysis of energy efficiency measures for maritime shipping using a metamodel based approach with different data sources," Energy, Elsevier, vol. 189(C).
- Chuanpeng Zhu & Pu Huang & Yiguo Li, 2022. "Closed-Loop Combustion Optimization Based on Dynamic and Adaptive Models with Application to a Coal-Fired Boiler," Energies, MDPI, vol. 15(14), pages 1-16, July.
- Darbandi, Masoud & Fatin, Ali & Bordbar, Hadi, 2020. "Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments," Energy, Elsevier, vol. 199(C).
- Laubscher, Ryno, 2019. "Time-series forecasting of coal-fired power plant reheater metal temperatures using encoder-decoder recurrent neural networks," Energy, Elsevier, vol. 189(C).
- Choi, Minsung & Park, Yeseul & Deng, Kaiwen & Li, Xinzhuo & Kim, Kibeom & Sung, Yonmo & Hwang, Taegam & Choi, Gyungmin, 2022. "Effects of exhaust tube vortex on the in-furnace phenomena in a swirl-stabilized pulverized coal flame," Energy, Elsevier, vol. 239(PE).
- Tao Lyu & Yu Gan & Ru Zhang & Shun Wang & Donghai Li & Yuqun Zhuo, 2024. "Development of a Real-Time NOx Prediction Soft Sensor Algorithm for Power Plants Based on a Hybrid Boost Integration Model," Energies, MDPI, vol. 17(19), pages 1-25, October.
- Li, Ruilian & Zeng, Deliang & Li, Tingting & Ti, Baozhong & Hu, Yong, 2023. "Real-time prediction of SO2 emission concentration under wide range of variable loads by convolution-LSTM VE-transformer," Energy, Elsevier, vol. 269(C).
- Yang, Guotian & Wang, Yingnan & Li, Xinli, 2020. "Prediction of the NOx emissions from thermal power plant using long-short term memory neural network," Energy, Elsevier, vol. 192(C).
- Tang, Zhenhao & Wang, Shikui & Chai, Xiangying & Cao, Shengxian & Ouyang, Tinghui & Li, Yang, 2022. "Auto-encoder-extreme learning machine model for boiler NOx emission concentration prediction," Energy, Elsevier, vol. 256(C).
- Antuña-Nieto, C. & Rodríguez, E. & Lopez-Anton, M.A. & García, R. & Martínez-Tarazona, M.R., 2018. "A candidate material for mercury control in energy production processes: Carbon foams loaded with gold," Energy, Elsevier, vol. 159(C), pages 630-637.
- Li, Zhenghui & Yao, Shunchun & Chen, Da & Li, Longqian & Lu, Zhimin & Liu, Wen & Yu, Zhuliang, 2024. "Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization," Energy, Elsevier, vol. 306(C).