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Optimization of a drum boiler startup using dynamic simulation and a micro-genetic algorithm

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Veröffentlicht in: Energy reports 6(2020), 2 vom: Feb., Seite 410-416
Personen und Körperschaften: Rosado-Tamariz, Erik (VerfasserIn), Zuniga-Garcia, Miguel A. (VerfasserIn), Batres, Rafael (VerfasserIn)
Titel: Optimization of a drum boiler startup using dynamic simulation and a micro-genetic algorithm/ Erik Rosado-Tamariz, Miguel A. Zuniga-Garcia, Rafael Batres
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2020
Gesamtaufnahme: : Energy reports, 6(2020), 2 vom: Feb., Seite 410-416
, volume:6
Schlagwörter:
Quelle: Verbunddaten SWB
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Zusammenfassung: In order to develop thermal power plants operational capabilities to face the new operational challenges of electrical power, in this paper we propose an approach to design operational procedures on a drum boiler of a thermal power plant. The proposed approach uses a coupled system of a simulation model and a metaheuristic optimization algorithm. The simulation model is developed in the modeling and simulation environment OpenModelica and the metaheuristic optimization algorithm is a micro-genetic algorithm (mGA). The results show that optimized operating profiles minimize the startup time to reach the drum boiler goal state by at least 35 percent and generate control valves operating sequences that must be carry out to achieve the desired profile.
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2019.11.095
Zugang: Open Access