Short-term estimation of the required fuel amount for a steam boiler based on daily temperature forecast using the GMDH-BBO algorithm (Case study: Sarcheshmeh copper mine diesel tanks)

Subject Areas : Electrical engineering (electronics, telecommunications, power, control)

Halimeh Normohammadi ^{1 *}

1 -

Received: 2025-06-23 Accepted : 2025-10-01 Published : 2025-10-06

Keywords: Weather forecasting, data modeling group method, biogeographic optimization, diesel tank facilities,

Abstract :

Diesel tanks in cold regions freeze and cause problems in the fuel supply process. To prevent freezing in diesel facilities in cold regions, boilers and related heating facilities are used. Based on the freezing temperature of diesel, which is minus 8.1 degrees, the boiler must provide adequate heat to the tank facilities to prevent diesel from freezing. In this regard, short-term cold day forecasts are estimated, the amount of fuel required by the boiler is estimated, and the boiler fuel supply planning is carried out correctly. The forecasting tool of this article is the GMDH-BBO metaheuristic algorithm. Therefore, the aim of this article is to predict the fuel required by the boiler heating facilities of the diesel tanks of Sarcheshmeh Mine for a period of fifteen days using the GMDH-BBO algorithm. The results of this forecast have been compared with classical methods, which shows the superiority of the GMDH-BBO method.

 

 

 

 

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References:


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