Multiple processes modeling and identification for a cleaner supercritical power plant via Grey Wolf Optimizer

• Published in: Energy (Oxford) Vol. 252; p. 124090
• Main Authors: Al-Momani, Ahmad, Mohamed, Omar, Abu Elhaija, Wejdan
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.08.2022; Elsevier BV
• Subjects: Adaptation; algorithms; Clean coal technologies; coal; energy; Environmental protection; Genetic algorithms; Grey-Wolf Optimizer; Heuristic methods; Mathematical models; Once-through mode; Parameter identification; power generation; Power plants; Recirculation mode; Shutdown mode; Shutdowns; Supercritical power plants; Grey-Wolf Optimizer; Shutdown mode; Recirculation mode; Clean coal technologies; Once-through mode; Supercritical power plants
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2022.124090

Validated mathematical modeling of clean coal power generation technologies is an essential subject of research that has a realized importance in the scientific communities working on the energy production and environment protection. This study presents a complete multiple processes modeling and simulation of a practical cleaner coal supercritical power plant (SCPP). The model covers a wider range of operation than ever published models before, which focus either on startup or on once-through operation. The model in this paper rather embeds the whole journey from recirculation mode during startup process up to the maximum produced power, then to emergency shut-down process in the same model. It has been found that slight adaptations in the once-through model parameters are sufficient to switch from one mode of process to another, which is useful in retaining simplified structure of the model. The fixed parameters of the model have been optimized by modern meta-heuristic technique of Grey Wolf Optimizer (GWO) and compared with Genetic Algorithms (GA). It has been proved that GWO has a sort of superiority over the GA for parameter identification of the SCPP model. •Multiple processes model for a 600 MW cleaner coal unit has been presented.•The model covers the modes of recirculation, once-through, and shutdown.•Grey Wolf Optimizer has been used to identify the unknown parameters.•Grey Wolf Optimizer is a bit better than Genetic Algorithm in most responses.•Transition from one mode to another does not require changing all parameters.