ABSTRACT
The purpose of the article is justification of automation methods and analysis of microbiology systems in the autonomous power supply complex based on solid oxide fuel cells for intensifying the flow of renewable energy, as well as reducing greenhouse gas emissions. Investigation of guaranteed power supply processes are based on the laws of mass conservation, electrical engineering, electrochemistry, biological processes of photosynthesis, by using the data obtained from simulation and physical modeling. The research analysed biological characteristics of algae during their use in autonomous power supply system based on solid oxide fuel cells. The necessity for automatic analysis of photobioreactor’s biological systems for effective utilization of carbon dioxide and biomass generation has been justified. The algorithm control of the photobioreactor and the methods of computer segmentation of Chlorella Vulgaris biological parameters were elaborated. The algorithm of segmentation of microalgae biological parameters was tested against the existing methods. Using biological technology photosynthesis module for automatic analysis of microorganisms in the autonomous power supply system based on fuel cells for selection and accumulation of energy and utilization of renewable sources of carbon dioxide was suggested for the first time. Control algorithms and state analysis of photosynthesis subsystem of the autonomous power supply complex based on solid oxide fuel cells were elaborated.
