Efficiency Analysis using Economizer Alternative Energy in Boilers

Moh Muchlishiin; Dino  Erivianto

doi:10.55927/fjst.v2i8.5802

Authors

Moh Muchlishiin Sekolah Tinggi Teknologi Sinar Husni
Dino Erivianto Sekolah Tinggi Teknologi Sinar Husni

DOI:

https://doi.org/10.55927/fjst.v2i8.5802

Keywords:

Efficiency, Boiler, Economizer, Energy, Electricity

Abstract

Efficiency is one of the efforts in implementing energy conservation. Economizers are an alternative source of energy that can survive because of the potential for energy efficiency. Economizer equipment in producing electrical energy and steam produces less than 10-30% fuel needed for a conventional energy plant. The Economizer system that was assumed in this study, there was an increase in boiler efficiency with an Economizer system of 19%. As for the need for burning calories in the combustion chamber with an Economizer system of 46,868,200,68 kcal/hour compared to a system without an Economizer of 61.003.054,86 kcal/hour. Thus the fuel requirement will be less with an Economizer system of 7,735 kg/hour compared to a system without an Economizer of 10.069 kg/hour. So that the results obtained with the same ratio and type of fuel, there is a fuel efficiency of 2.334 kg/hour.

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References

BAHRUDINST, I. (2014). PENINGKATAN EFISIENSI BOILER DENGAN MENGGUNAKAN ECONOMIZER.

Aksenov, A. K., & Kosorukov, D. P. (2020, October 6). Application of Condensation Economizers in Order to Increase the Energy Efficiency of Gas Boilers of a Traditional Type. 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. https://doi.org/10.1109/FarEastCon50210.2020.9271452

Hasan, S., Suherman, & Muchlishiin, M. (2021). Voltage - Current Waveforms of Single-phase Power Transformer Due to DC Bias. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1811/1/012080

Moscow Power Engineering Institute, & Institute of Electrical and Electronics Engineers. (n.d.). 2018 IV International Conference on Information Technologies in Engineering Education : Inforino 2018 : proceedings : National Research University “Moscow Power Engineering Institute” (MPEI), Moscow, Russia, October 23-26, 2018.

Tang, Z., Wang, S., Chai, X., Cao, S., Ouyang, T., & Li, Y. (2022). Auto-encoder-extreme learning machine model for boiler NOx emission concentration prediction. Energy, 256. https://doi.org/10.1016/j.energy.2022.124552

Varganova, A. V., Khramshin, V. R., & Radionov, A. A. (2023). Operating Modes Optimization for the Boiler Units of Industrial Steam Plants. Energies, 16(6). https://doi.org/10.3390/en16062596