Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243909 
Year of Publication: 
2020
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 6 [Issue:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2020 [Pages:] 410-416
Publisher: 
Elsevier, Amsterdam
Abstract: 
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.
Subjects: 
Drum boiler
Micro genetic algorithm
Modelica
Startup optimization
Thermal power plants
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
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