For energy supply in the Arctic regions, hybrid systems should be designed and equipped to ensure a high level of renewable energy penetration. Energy systems located in remote Arctic areas may experience many peculiar challenges, for example, due to the limited transport options throughout the year and the lack of qualified on-site maintenance specialists. Reliable operation of such systems in harsh climatic conditions requires not only a standard control system but also an advanced system based on predictions concerning weather, wind, and ice accretion on the blades. To satisfy these requirements, the current work presents an advanced intelligent automatic control system. In the developed control system, the transformation, control, and distribution of energy are based on dynamic power redistribution, dynamic control of dump loads, and a bi-directional current transducer. The article shows the architecture of the advanced control system, presents the results of field studies under the standard control approach, and models the performance of the system under different operating modes. Additionally, the effect of using turbine control to reduce the effects of icing is examined. It is shown that the advanced control approach can reduce fuel consumption in field tests by 22%. Moreover, the proposed turbine control scheme has the potential to reduce icing effects by 2% to 5%.

Monitoring the temperature and humidity of the air in the premises of granaries and in containers with grain allows you to create automatic systems to maintain the storage conditions of grain, which is necessary to preserve its grade. This article proposes a system for wireless monitoring of temperature and humidity, reducing the cost of laying and operating cable thermometers in the infrastructure of the storage facilities, monitoring the temperature and humidity of air at different levels of grain mounds, and monitoring the temperature and moisture of the spent drying agent in silage.

With the help of modern microscopic methods of screening of the surface tissues of leaves and fruits of plants of the Apple subfamily (Maloideae): Apple (MalusMill.), pear (PyrusL.), quince (CydoniaMill.), medlar (MespilusL.) to model an object, and made before, the first attempts to explain the dependence of the susceptibility with the mycosis from the microstructural features. From the phytopathological studies and literature analyzed the species composition of fungi, causing loss of leaves and fruit of Apple trees in southern Russia. Outdoor, making pathogens with different parasitism are common pathogens, more reliable, more presented in the Mespilusgermanica. Higher, compared to the Apple and pear, a complex resistance to fungal diseases is found in the quince and medlar. Resistance to the first stage of the pathological process associated with such a device has, calmiramar university fruits and stomata in the abaxial epidermis of the leaves. Ulichnye cracks the leaves of the medlar - narrow, with raised growths on the surface of the fruit - now the structure of the cuticular layer.