Yakymenko I. Intelligent system of energy-efficient microclimate control in indoor buildings with energy consumption forecasting

In order to find the most energy-intensive production processes in industrial greenhouses, an assessment of the peculiarities of technological processes of growing vegetables in indoor facilities, based on the results of experimental and statistical analysis of the links between external disturbances and energy costs, ensuring compliance with the given technology of plant production. forecasting of energy costs, scientific works on reduction of energy costs of microclimate management in industrial greenhouses are analyzed. According to research, heating and ventilation systems have the highest energy consumption (on average, more than 4.0 thousand m3 of natural gas and almost 1 thousand kW of electricity are consumed per day for heating and ventilation in the greenhouse). Correlation analysis of the relationship between external disturbances and energy costs, ensuring compliance with the specified technology of plant production, confirmed the hypothesis of conditions of uncertainty in the operation of industrial greenhouses (linear correlation coefficients do not exceed r <0.35). This creates conditions for the use of neural networks that can operate effectively in conditions of uncertainty for energy consumption forecasting and proves the feasibility of developing an intelligent system of energy efficient microclimate control in indoor buildings based on energy consumption forecasting, including zoning in energy bills. An intelligent system of energy-efficient control of microclimate parameters in closed ground structures has been practically implemented, which is made in the C ++ programming language and includes: a block of neural network forecasting of energy costs and energy prices; fuzzy decision-making system, which takes into account the technological requirements for the process of growing plant products; block of optimization of parameters of regulators at change of external conditions on the basis of genetic algorithm and fuzzy logic. Algorithms for the operation of equipment in the greenhouse plant have been modernized and developed, which are protected by three patents, which allow to significantly reduce energy costs in industrial greenhouses. It is established that the use of the developed intelligent system of energy efficient management allows to save natural gas for heating up to 13% and electricity - up to 10%.