• Modeling and simulation of circulating fluidized bed biomass gasifiers in view of Industry 4.0

    Industry 4.0, Vol. 4 (2019), Issue 4, pg(s) 150-152

    Cyber-physical systems are structures that are controlled and monitored by computer-based algorithms consisting of physical components. The energy industry is becoming a large and complex cyber physical system with the industrial revolution. These developments in the energy sector have a positive effect on Industry 4.0. Developments in the fields of production, transmission and distribution, retail sales, trade and consumption from the elements of the energy sector are increasing day by day via sensor-based communicable autonomous systems. U.N. Industrial Revolution in its report in 2017 elaborate the relevancy between the Sustainable Development Goals no. 7 and 9 about sustainable energy and inclusive industry development that Industry 4.0 and sustainable energy transition share crucial concerns that can be interconnected to pursue a sustainable energy transition. Sustainable energy is defined to have two main components: energy efficiency and renewable energy. UNIDO’s initial hypothesis tells that a comprehensive shift in manufacturing may change the behavior in energy consumption, including energy efficiency and renewable energy usage. Circulating fluidized bed (CFB) technology is one of the important factors contributing to the above mentioned concept of sustainable energy.

  • Importance of mathematical modeling in innovation

    Mathematical Modeling, Vol. 3 (2019), Issue 1, pg(s) 32-34

    Mathematical modeling is the key parameter in designing new devices. Renewable energy technologies are getting higher importance in the near future. Mathematical modeling of circulating fluidized bed (CFB) biomass combustion could improve both their design and operation, reduce any associated problems and facilitate the implantation of this technology. A good understanding of the combustion and pollutant generating processes in the gasifier can greatly avoid costly upsets. Presently, there is a focus on developing models of CFB for burning biomass and waste material. The objectives of these models are to be able to predict the behavior with respect to the combustion efficiency, fouling problems and pollutant emissions performance of different fuels or mixtures in commercial CFBs. In this study, importance of mathematical modeling in designing CFB biomass gasifiers is investigated in view of innovative solutions.