Energy Development Assessment of Biomass Power Plant with Rice Husk Fuel Source in Thailand: Analysis of the Performance, LCOE and Carbon Emissions Reduction

Authors

  • Prachuab Peerapong Aerospace Engineering, Faculty of Engineering, Bangkokthonburi University, Bangkok 10170, Thailand
  • Patchara Wongtong Civil Engineering, Faculty of Engineering, Bangkokthonburi University, Bangkok 10170, Thailand
  • Sonthaya Khamdech Aerospace Engineering, Faculty of Engineering, Bangkokthonburi University, Bangkok 10170, Thailand
  • Promphak Boonraksa Mechatronics Engineering, Faculty of Engineering, Rajamangala University of Technology Suvarnabhumi, Nonthaburi 11000, Thailand https://orcid.org/0000-0002-6255-0521

DOI:

https://doi.org/10.69650/rast.2025.260099

Keywords:

Biomass Power Plant, Rice Husk, Levelized Cost of Electricity, Electricity Power Generation, System Advisor Model (SAM)

Abstract

This study was conducted from the technical and financial from two rice husk power plants in Thailand. A proposed rice husk power plants use Rankine cycle power plant as a combustion configuration for electricity generation. The simulation in this research uses the System Advisor Model (SAM) to study the plant performance and financial analysis. This research investigates by using input technical plant data, and the financial variable assumptions. The results in this research can be concluded that the LCOE (the Levelized cost of electricity) of the electricity generation from the rice husk power plants at 6.62-6.63 ¢/kWh. The potentials of CO2 reduction of rice husk plants in this study are 38,319 tons/year for plant A, and 53,923 tons/year for plant B. These results can be used as a useful tool for developing strategic plans for biomass power plants in Thailand.

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Published

18 March 2025

How to Cite

Peerapong, P. ., Wongtong, P. ., Khamdech, S. ., & Boonraksa, P. (2025). Energy Development Assessment of Biomass Power Plant with Rice Husk Fuel Source in Thailand: Analysis of the Performance, LCOE and Carbon Emissions Reduction. Journal of Renewable Energy and Smart Grid Technology, 20(1), 13–18. https://doi.org/10.69650/rast.2025.260099