Optimization Design of Coal Dryer Using Genetic Algorithm in Power Plant

  • Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga
  • Engineering Physics Department, Institut Teknologi Sepuluh Nopember
Abstract views: 278 , PDF downloads: 200
Keywords: Genetic Algorithm, Low Rank Coal, Coal Dryer, Steam Extraction Turbine


Coal that is often used in Steam Power Plants is a type of Low Rank Coal (Low Rank Coal) which has a caloric value of 4200 kcal / kg with a moisture content of 40%.  Coal with water content that reaches 40% can cause the efficiency process of the plant to be not optimal. Low efficiency values will cause the use of electricity to increase and the combustion process to be incomplete so that it can cause many losses to the Steam Power Plant. From this problem, there needs to be a process of drying coal in order to reduce water content, the technology used in the process of drying coal is coal dryer. Design of coal dryer required source of steam or heat for drying process. Steam Power Plant there is steam waste extraction from turbines that can be used as a heat source to heat coal. If this extraction vapor is utilized, it can reduce the load from the condenser. The amount of turbine extraction steam that can be received by the coal dryer depends on the design of the coal dryer, because the design process of the coal dryer will affect the availability of energy in the coal dryer. This paper will discuss about optimization calculation with genetic algorithm method, to obtain the best design of coal dryer so that the heat received can be maximized so that the drying process becomes faster.


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How to Cite
, & . (2021). Optimization Design of Coal Dryer Using Genetic Algorithm in Power Plant. International Journal of Artificial Intelligence & Robotics (IJAIR), 3(1), 36-43. https://doi.org/10.25139/ijair.v3i1.3825