Algorithm for optimal control of energy-efficient systems ensuring abiotic factors for entomological production

The article is dedicated to the development of an optimal control algorithm for energy-efficient systems that provide abiotic factors. The result of the algorithm operation is a final set of conditions, instructions, and actions executed in a specific order, serving as a tool for determining methods for forming energy-efficient systems that ensure abiotic factors in adaptive technologies for cultivating maternal entomocultures. The algorithm consists of six main blocks. The first block defines an automatic air parameter regulation system in microclimate systems based on the type of the air parameter being regulated, the magnitude of the parameter deviation, the method of maintaining the parameter, and the nature of the regulator’s influence on the controlled object. The types of systems that meet all the constraints of entomoproduction facilities are considered. The second block determines the conditions for optimal system control using a thermodynamic model (TDM). The analysis of these conditions allows the formulation of fundamental principles by which TDM of air conditioning systems (AirCS) ensures optimal air treatment processes, a combination of specific outdoor air parameters and indoor air parameters that minimize cooling, heating, water, and air consumption. The third block involves processing the basic information and performing key calculations and operations. The fourth block determines the types of technological schemes for maintaining environmental parameters indoors, considering options such as preheating outdoor air, operating without preheating, or using preheating for recirculated air. The fifth block is responsible for presenting the algorithm’s output, defining the conditions for controlling energy-efficient systems that provide abiotic factors. The final, sixth block repeatedly performs a specific operation until a predefined condition is met. The information in this block concerns methods of controlling humidification processes – regulating water consumption, bypassing the airflow, or managing intermittent water supply. Capital costs for AirCS in entomological production amount to 20% of the total construction cost, while operating expenses range from 30% to 50% of total operating costs. Therefore, energy saving has been one of the most crucial functions of automatic control systems (ACS) in air conditioning. During the design stage of ACS and the development of technological air treatment schemes, it is necessary to refine the possibilities of process control. As a result of the research, key schemes for maintaining environmental parameters in indoor spaces have been developed to minimize air heat and moisture treatment costs. The developed algorithm enables the generation of a set of conditions, instructions, and actions that must be performed in a specific order. Given detailed initial data and knowledge of ACS equipment management methods, following each step of the developed algorithm provides a technically sound ACS solution for air conditioning systems, reducing energy consumption by approximately 25%. The algorithm’s outcome serves as a tool for determining methods for forming energy-efficient systems that ensure abiotic factors in adaptive technologies for cultivating maternal entomocultures.