Production of biofuels from biomass: Predicting the energy employing artificial intelligence modelling.

Journal: Bioresource technology
PMID:

Abstract

Bioenergy may be a major replacement of fossil fuels which can make the path easier for sustainable development and decrease the dependency on conventional sources of energy. The main concern with the bioenergy is the availability of feedstock, dealing with its economics as well as its demand and supply chain management. This review deals with the finding of distinct potential of different Artificial Intelligence technologies focusing the challenges in bioenergy production system and its overall improvement in application. The study also highlights the contribution of Artificial Intelligence techniques for the prediction of energy from biomass and evaluates the computing-reasoning techniques for managing bioenergy production, biomass supply chain and optimization of process parameters for efficient bioconversion technologies.

Authors

  • Manish Meena
    Centre for Energy and Environment, Malviya National Institute of Technology, JLN Marg, Jaipur, Rajasthan 302017 India.
  • Shubham Shubham
    Centre for Energy and Environment, Malviya National Institute of Technology, JLN Marg, Jaipur, Rajasthan 302017 India.
  • Kunwar Paritosh
    Centre for Energy and Environment, Malviya National Institute of Technology, JLN Marg, Jaipur, Rajasthan 302017 India.
  • Nidhi Pareek
    Department of Microbiology, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, Rajasthan 305801, India.
  • Vivekanand Vivekanand
    Centre for Energy and Environment, Malviya National Institute of Technology, JLN Marg, Jaipur, Rajasthan 302017 India. Electronic address: Vivekanand.cee@mnit.ac.in.