Open AccessSubstantiation of application of the order variable submission principle in the bioenergy theory of plant productivity
Author(s) -
Alexey S. Dorokhov,
Andrey Grishin,
А. М. Гришин,
В.А. Гришин,
Natalya A. Semenova
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/981/2/022002
Subject(s) - synergetics (haken) , productivity , variable (mathematics) , production (economics) , exergy , bioenergy , biochemical engineering , order (exchange) , computer science , mathematics , process engineering , ecology , engineering , physics , thermodynamics , renewable energy , economics , mathematical analysis , finance , macroeconomics , biology
It was shown that the agricultural branches of knowledge lacks calculus principles – the most important values for these branches and methods for determining these limiting theoretical values. For this reason, it is very difficult to use modern computer technologies in this industry. Another problem is the lack of a method for energy analysis of the bioconversion of radiant energy in plants. These problems are solved by using the well-known principle of synergy submission. We considered the production processes in a tomato plant when exposed to LE consisting of photosynthetic and thermal components and presented a synergistic model of these processes. It was experimentally proved that these components, according to the synergetics submission principle, are order variables, to which control variables are subordinated. We established a high degree of submission of control variables (growth of productive mass and thermoregulatory evaporation) to the order parameter (energy of light radiation in the form of its components). Calculations of plant productivity should begin with determining LE consisting of photosynthetic and thermal components that made it possible to design an exergy model, and subsequently an algorithm, for managing production processes and increasing productivity.