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Journal Paper: 2022
Chen X and Wu X*. The roles of carbon capture, utilization and storage in the transition to a low-carbon energy system using a stochastic optimal scheduling approach, Journal of cleaner production, 2022, 366:132860 (SCI, IF:11.072) Jin Y, Wu X* and Shen J*. Power-heat coordinated control of multiple energy system for off-grid energy supply using multi-timescale distributed predictive control. Energy, 2022, 254: 124336.(SCI, IF:8.857) Wang Q, Zheng C, Wu X* and Wang M. Robust monitoring of solvent based carbon capture process using deep learning network based moving horizon estimation. Fuel, 2022, 321: 124071. (SCI, IF:8.035) Li Y, Zhang J, Wu X*, Shen J* and Lee Kwang. Optimal design of combined cooling, heating and power multi-energy system based on load tracking performance evaluation of adjustable equipment. Applied Thermal Engineering, 2022, 211: 118423. (SCI, IF:6.465) Zheng B, Wu X*.Integrated Capacity Configuration and Control Optimization of off-grid Multiple Energy System for Transient Performance Improvement. Applied Energy, 2022, 311: 118638. (SCI, IF: 11.446)
2021 Zhu M, Wu X*, Shen J *, Lee K. Y.Dynamic modeling, validation and analysis of direct air-cooling condenser with integration to the coal-fired power plant for flexible operation. Energy Conversion and Management, 2021, 245: 114601. (SCI, IF: 11.533) Xi H, Wu X*, Chen X, Sha P. Artificial intelligent based energy scheduling of steel mill gas utilization system towards carbon neutrality. Applied Energy, 2021, 295: 117069 (SCI, IF:11.446) Wu X*, Xi H., Ren Y. and Lee K. Y. Power-Carbon Coordinated Control of BFG-fired CCGT Power Plant Integrated with Solvent-based Post-combustion CO2 Capture. Energy, 2021, 226(5): 120435.(SCI, IF:8.857) Chen X, Wu X*, Lee K Y. The mutual benefits of renewables and carbon capture: achieved by an artificial intelligent scheduling strategy. Energy Conversion and Management, 2021: 113856. (SCI, IF: 11.533) Xi H, Liao P, Wu X*. Simultaneous Parametric Optimization for Design and Operation of Solvent-Based Post-Combustion Carbon Capture Using Particle Swarm Optimization. Applied Thermal Engineering, 2021: 116287. (SCI, IF:6.465)
2020 Wu X*, Wang M*, Lee KY. Flexible operation of supercritical coal-fired power plant integrated with solvent based CO2 capture through collaborative predictive control. Energy 2020, 206: 118105. (SCI, IF:8.857) Wu X*, Shen J, Wang M*, Lee KY. Intelligent predictive control of large scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization. Energy 2020, 196: 117070. (SCI, IF:8.857) Liao P, Li Y*, Wu X*, Wang M, Oko E. Flexible operation of large-scale coal-fired power plant integrated with solvent-based post-combustion CO2 capture based on neural network inverse control. International Journal of Greenhouse Gas Control, 2020; 95: 102985. (SCI, IF:4.4) Wu X*, Wang M*, Liao P, Shen J, Li Y. Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and flexible operation, Applied Energy, 2020, 257. (SCI, IF:11.446) 吴啸*，张雨萌，沈炯，李益国. 燃煤发电CO2捕集系统协调预测控制.工程热物理学报. 2020, 41(3)：533-538.
2019前 Wu X*, Shen J, Li Y, Wang M*, Lawal A, Lee KY.Dynamic behavior investigations and disturbance rejection predictive control of solvent-based post-combustion CO2 capture process. Fuel, 2019, 242: 624-637. Wu X*, Wang M*, Shen J, Li Y, Lawal A, Lee KY. Reinforced coordinated control of coal-fired power plant retrofitted with solvent based CO2 capture using model predictive controls. Applied Energy, 2019, 238:495-515. Wu X*, Wang M*, Shen J, Li Y, Lawal A, Lee KY. Flexible operation of coal fired power plant integrated with post combustion CO2 capture using model predictive control. International Journal of Greenhouse Gas Control, 2019, 82:138-151. X. Wu*, J. Shen, Y. Li, M. Wang*, A. Lawal and K. Y. Lee Nonlinear dynamic analysis and control design of a solvent-based post-combustion CO2 capture process, Computers & Chemical Engineering, 2018, pp. 397-406. X. Wu*, J. Shen, Y. Li, M. Wang* and A. Lawal, Flexible operation of post-combustion solvent-based carbon capture for coal-fired power plants using multi-model predictive control: A simulation study, Fuel, 2018, pp. 931-941. X. Wu*, J. Shen, S. Sun, Y. Li, K.Y. Lee, Data-Driven Disturbance Rejection Predictive Control for SCR Denitrification System, Industrial & Engineering Chemistry Research, vol. 55, pp.5923-5930. 2016. X. Wu*, J. Shen, Y. Li, and K. Y. Lee, “Steam power plant configuration, design and control,” WIREs Energy Environ, vol. 4, no. 6, pp. 537-563, Nov-Dec. 2015. X. Wu*, J. Shen, Y. Li, and K. Y. Lee, “Fuzzy Modeling and Predictive Control of Superheater Steam Temperature for Power Plant, ISA Transactions, vol. 56, pp 241-251, May, 2015. X. Wu*, J. Shen, Y. Li, and K. Y. Lee, “Data-Driven Modeling and Predictive Control for Boiler-Turbine Unit Using Fuzzy Clustering and Subspace Methods, ISA Transactions, vol. 53, No. 3, pp 699-708, May, 2014. X. Wu*, J. Shen, Y. Li, and K. Y. Lee, “Hierarchical Optimization of Boiler-Turbine Unit Using Fuzzy Stable Model Predictive Control, Control Engineering Practice, vol. 30, pp 112-123, Sep, 2014. X. Wu*, J. Shen, Y. Li, and K. Y. Lee, “Fuzzy Modeling and Stable Model Predictive Tracking Control of Large-scale Power Plants, Journal of Process Control, vol. 24, No.10, pp. 1609-1626, Oct, 2014. X. Wu*, J. Shen, Y. Li, and K. Y. Lee, “Data-driven modeling and predictive control for boiler-turbine unit,” IEEE Trans. on Energy Conversion, vol. 28, No. 3, pp 470-481, Sep, 2013. 吴啸、沈炯*、李益国.“基于TS模糊模型的稳定预测控制及其在机炉协调系统中的应用.”中国电机工程学报，vol. 31, No. 11, 2011. 吴啸、沈炯*.“机炉协调系统的子空间辨识及预测控制.”东南大学学报（自然科学版），vol. 42, No. z2, 2012.
Book Chapter: X. Wu and K. Y. Lee, Application of Modern Heuristic Optimization Methods in Power and Energy Systems，chapter 4.6: Application of modern heuristic optimization in power plant, Wiley STM, 2018.
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