Power plant cycles: evolution towards more sustainable and environmentally friendly technologies

A Meana-Fernández, JM González-Caballín… - Energies, 2022 - mdpi.com
The scarcity of energy and water resources and rising temperatures due to climate change
has set the focus on improving the energy efficiency of power plant thermodynamic cycles to …

Reduction of emissions and improvement of dynamic responses of a supercritical clean coal generation unit via neural network inverse control strategy

O Mohamed - Proceedings of the Institution of Mechanical …, 2024 - journals.sagepub.com
Coal power plants have been a major source of undesirable emissions. Despite the
technological advancements in renewable energies, coal units are still in-service in many …

Performance prediction of a clean coal power plant via machine learning and deep learning techniques

M Haddadin, O Mohamed… - Energy & …, 2024 - journals.sagepub.com
Computer simulation of energy resources has led to significant achievements in the
interdisciplinary fields of energy and environment. Apart from renewable resources, fossil …

Qualitative and quantitative comparison of three modeling approaches for a supercritical once‐through generation unit

A Haddad, O Mohamed - International Journal of Energy …, 2022 - Wiley Online Library
With the affirmative advancements in clean coal technologies toward more environmentally
friendly power systems, it has become critical to gain a comprehensive understanding of the …

Parameter identification and sliding pressure control of a supercritical power plant using whale optimizer

M Qasem, O Mohamed, W Abu Elhaija - Sustainability, 2022 - mdpi.com
Sliding pressure control is a well-known method of controlling supercritical power plants that
improves energy efficiency and reduces pressure dynamic stresses. This paper presents a …

Real-Time Electrochemical Model-Based BMS Control for Mitigating Li-Plating and Extending Battery Life

M Qasem, M Haddadin, Y Yassin… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
It is well-known that lithium plating significantly reduces the capacity of lithium-ion batteries,
particularly at elevated charging rates, high SoC, and low temperatures. This study presents …

Load frequency model predictive control of a large-scale multi-source power system

T Afaneh, O Mohamed, W Abu Elhaija - Energies, 2022 - mdpi.com
With increased interests in affordable energy resources, a cleaner environment, and
sustainability, more objectives and operational obligations have been introduced to recent …

Neural network predictive controller based on the improved TPA-LSTM model for ultra-supercritical units

B Ping, D Zeng, Y Hu, Y Xie - Heliyon, 2024 - cell.com
To mitigate the impact of large-scale renewable energy power on the national grid in China,
it is imperative to enhance the flexible peaking capability of coal-fired thermal power units …

Optimizing intelligent startup strategy of power system using PPO algorithm

Y Sun, Y Wu, Y Wu, K Liang… - Intelligent Decision …, 2024 - content.iospress.com
This article aimed to use the proximal policy optimization (PPO) algorithm to address the
limitations of power system startup strategies, to enhance the adaptability, coping ability, and …

[PDF][PDF] Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer. Sustainability 2022, 14, 8039

M Qasem, O Mohamed, W Abu Elhaija - 2022 - researchgate.net
Sliding pressure control is a well-known method of controlling supercritical power plants that
improves energy efficiency and reduces pressure dynamic stresses. This paper presents a …