Modeling and control of supercritical and ultra-supercritical power plants: a review
This paper presents a critical review of the research conducted for modeling and controlling
supercritical power plants. Thermal power plants are classified according to the boiler …
supercritical power plants. Thermal power plants are classified according to the boiler …
Progress in modeling and control of gas turbine power generation systems: a survey
This paper reviews the modeling techniques and control strategies applied to gas turbine
power generation plants. Recent modeling philosophies are discussed and the state-of-the …
power generation plants. Recent modeling philosophies are discussed and the state-of-the …
Multiple processes modeling and identification for a cleaner supercritical power plant via Grey Wolf Optimizer
Validated mathematical modeling of clean coal power generation technologies is an
essential subject of research that has a realized importance in the scientific communities …
essential subject of research that has a realized importance in the scientific communities …
Comparative prediction analysis of 600 MWe coal-fired power plant production rate using statistical and neural-based models
Y Tunckaya, E Koklukaya - Journal of the Energy Institute, 2015 - Elsevier
Electrical energy is a crucial phenomenon for daily human life & industry, and various types
of production plants such as nuclear, thermal, wind, geothermal, hydro, biomass, solar, etc …
of production plants such as nuclear, thermal, wind, geothermal, hydro, biomass, solar, etc …
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 …
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 …
interdisciplinary fields of energy and environment. Apart from renewable resources, fossil …
Parameter identification of a highly promising cleaner coal power station
It is well known that supercritical coal-firing power plants (SCPP) are much cleaner and
more efficient than subcritical units. The boiler operating pressure and temperature for …
more efficient than subcritical units. The boiler operating pressure and temperature for …
Speeding-up startup process of a clean coal supercritical power generation station via classical model predictive control
It is well known that coal-firing power plants are the slowest power plants in operation
among other fossil fuel power stations, and have the highest emissions among all energy …
among other fossil fuel power stations, and have the highest emissions among all energy …
Qualitative and quantitative comparison of three modeling approaches for a supercritical once‐through generation unit
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 …
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
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 …
improves energy efficiency and reduces pressure dynamic stresses. This paper presents a …