Challenges and opportunities on nonlinear state estimation of chemical and biochemical processes

R Alexander, G Campani, S Dinh, FV Lima - Processes, 2020 - mdpi.com
This paper provides an overview of nonlinear state estimation techniques along with a
discussion on the challenges and opportunities for future work in the field. Emphasis is given …

Distributed predictive control guided by intelligent reboiler steam feedforward for the coordinated operation of power plant-carbon capture system

Z Tang, X Wu - Energy, 2023 - Elsevier
Solvent-based post-combustion CO 2 capture is the most mature technology to reduce
carbon emissions from coal-fired power plants. However, the strong interactions and …

Model predictive control of power plant cycling using Industry 4.0 infrastructure

D Kestering, S Agbleze, H Bispo, FV Lima - Digital Chemical Engineering, 2023 - Elsevier
This work involves the Industry 4.0 infrastructure developed at West Virginia University
(WVU) for process systems applications. This infrastructure emulates an interconnected …

Data-driven modeling of power generation for a coal power plant under cycling

H Sharma, L Marinovici, V Adetola, HT Schaef - Energy and AI, 2023 - Elsevier
Increased penetration of renewables for power generation has negatively impacted the
dynamics of conventional fossil fuel-based power plants. The power plants operating on the …

[HTML][HTML] Tube-based distributionally robust model predictive control for nonlinear process systems via linearization

Z Zhong, EA del Rio-Chanona… - Computers & Chemical …, 2023 - Elsevier
Abstract Model predictive control (MPC) is an effective approach to control multivariable
dynamic systems with constraints. Most real dynamic models are however affected by plant …

Efficient model predictive control of boiler coal combustion based on NARX neutral network

Z Hu, J Fang, R Zheng, M Li, B Gao, L Zhang - Journal of Process Control, 2024 - Elsevier
During coal-fired power generation, uniform combustion temperature in the boiler is desired
which will benefit both economical efficiency and pollution reduction. To this end, a model …

Extended-state Kalman filter-based model predictive control and energy-saving performance analysis of a coal-fired power plant

M Guo, Y Hao, KY Lee, L Sun - Energy, 2025 - Elsevier
Faced with the high penetration of renewable energy sources, coal-fired power plants
(CFPPs) are confronted with flexible requirements and the challenge of energy-saving …

[HTML][HTML] Integrated optimization of process control and its effect on structural integrity–A systematic review

P Szentannai, T Fekete - Engineering Failure Analysis, 2022 - Elsevier
Structural integrity of large-scale industrial facilities is heavily influenced by their dynamical
changes, that is, by the way how their instationary transients take place. All such facilities are …

Nonlinear multiobjective and dynamic real‐time predictive optimization for optimal operation of baseload power plants under variable renewable energy

R Kim, FV Lima - Optimal Control Applications and Methods, 2023 - Wiley Online Library
Considering the increase of disruptive variable renewable energy penetration into the power
grid, this article focuses on the investigation of a multiobjective and dynamic real‐time …

State and covariance estimation of a semi-batch reactor for bioprocess applications

R Alexander, S Dinh, G Schultz, MPA Ribeiro… - Computers & Chemical …, 2023 - Elsevier
In this work, extended Kalman filter (EKF) and moving horizon estimation (MHE)-based
approaches are introduced and applied to a Galacto-oligosaccharides (GOS) bioprocess …