Editorial: Applications of Monte Carlo Method in Chemical, Biochemical and Environmental Engineering

Gürkan Sin*, Antonio Espuña

*Corresponding author for this work

Research output: Contribution to journalEditorialResearch

40 Downloads (Pure)


Monte Carlo methods are defined broadly as a statistical approach to provide approximate solutions to mathematically complex optimization or simulation problems by using random sequences of numbers. The two main advantages of Monte Carlo methods are perhaps that the concept is relatively simple and easy to use, and the same method has a sound basis. The Law of large numbers ensures that the Monte Carlo solution converges asymptotically to the true solution of a problem and since its first formulation by Metropolis and Ulam (1949), Monte Carlo methods have seen widespread application across many scientific and engineering disciplines.
Original languageEnglish
Article number68
JournalFrontiers in Energy Research
Pages (from-to)1-2
Publication statusPublished - 2020


  • Monte Carlo simulation
  • Global sensitivity analysis (GSA)
  • Uncertainty analysis (UA)
  • Model identification and estimation
  • Wastewater treatment
  • Fermentation process
  • Renewable energy
  • Model-based engineering (MBE)

Cite this