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

Y Yan, TN Borhani, SG Subraveti, KN Pai… - Energy & …, 2021 - pubs.rsc.org
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 …

Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and …

X Wu, M Wang, P Liao, J Shen, Y Li - Applied Energy, 2020 - Elsevier
Solvent-based post-combustion CO 2 capture (PCC) appears to be the most effective choice
to overcome the CO 2 emission issue of fossil fuel fired power plants. To make the PCC …

The roles of carbon capture, utilization and storage in the transition to a low-carbon energy system using a stochastic optimal scheduling approach

X Chen, X Wu - Journal of Cleaner Production, 2022 - Elsevier
Decarbonizing energy sector through deploying the technology of carbon capture, utilization
and storage (CCUS) is required to keep global temperature rise below 1.5° C by 2060. The …

The mutual benefits of renewables and carbon capture: Achieved by an artificial intelligent scheduling strategy

X Chen, X Wu, KY Lee - Energy Conversion and Management, 2021 - Elsevier
Renewable power and carbon capture are key technologies to transfer the power industry
into low carbon generation. Renewables have been developed fast, however, the …

Technical and economic performance assessment of post-combustion carbon capture using piperazine for large scale natural gas combined cycle power plants …

O Otitoju, E Oko, M Wang - Applied energy, 2021 - Elsevier
The main challenges to the commercial deployment of the solvent-based post-combustion
carbon capture technology include high energy consumption and high capital and operating …

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 …

Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization

X Wu, J Shen, M Wang, KY Lee - Energy, 2020 - Elsevier
This paper develops an intelligent predictive controller (IPC) for a large-scale solvent-based
post-combustion CO 2 capture (PCC) process. An artificial neural network (NN) model is …

Multi-timescale capacity configuration optimization of energy storage equipment in power plant-carbon capture system

X Chen, R Qiu, X Wu - Applied Thermal Engineering, 2023 - Elsevier
Deploying energy storage technologies into power plant-carbon capture systems has
received much attention since it can greatly improve the flexibility of the plant, thus …

Revealing steam temperature characteristics for a double-reheat unit under coal calorific value variation

H Zhu, P Tan, Z He, L Ma, C Zhang, Q Fang, G Chen - Energy, 2023 - Elsevier
Currently, the severe fluctuation of steam temperature in double-reheat (DR) ultra-
supercritical (USC) units has become a major problem that constrains their efficient and …

Model predictive control based control strategy for battery energy storage system integrated power plant meeting deep load peak shaving demand

J Zhu, X Cui, W Ni - Journal of Energy Storage, 2022 - Elsevier
Due to China's power supply structure, the conventional power units are responsible for the
deep load shaving regulation to meet the high penetration challenge of renewable energy …