Methodological foundations of innovative solutions in renewable energy engineering

BACKGROUND: An essential condition of existence for enterprises of all forms in the face of rapid external and internal transformations is digital reformation of their business processes. The Saint Petersburg subway is no exception, which has an aging fleet of escalators, for which the introduction of digital technologies, accompanied by the optimization of the control system for the main technological processes, can provide a balance between ever-increasing costs and limited, not always rhythmically flowing supplies. AIMS: To establish one of the possible options for the software architecture for planning and monitoring maintenance and repair of the subway escalator fleet. At the same time, the object of research in the study is the subway escalator fleet, and the subject is automation of the maintenance and repair system. METHODS: Analysis of modern architectural solutions used in the design of software (materials), and the synthesis on their basis of a microservice architecture implemented by tools taken from the field of machine learning and artificial intelligence are the methods used in this study. RESULTS: A significant result of the work for practical application is the proposed scheme of the two-circuit IT landscape of the information system and the block diagram of the software implementing the internal processing circuit. The proposed version of the software is intended for regular use as a tool for monitoring and controlling the register of management objects (works) that create and do not create value for the company (providing/not providing transportation of passenger traffic). At the same time, the implementation of the proposed circuit design solution can be carried out using ready-to-use and free software components, significantly reducing the design time and the cost of its creation and operation. CONCLUSIONS: The results obtained may be one of the options for implementing the concept of digital transformation of the maintenance and repair system of the subway escalator fleet.

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Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems

Simankov,

Buchatskiy,

Onishchenko

et al. 2023

Russian Journal of Earth Sciences

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Energy production based on renewable sources is a fundamental aspect of society’s sustainable development. The involvement of renewable energy sources in the implementation of modern energy systems can significantly reduce the amount of harmful emissions into the atmosphere and provide greater flexibility of energy infrastructure. The first step in determining the feasibility of involving a particular energy source in the overall energy system of the region is a preliminary assessment of the energy potential to determine the possible percentage of substitution of traditional energy. To solve this problem, it is necessary to use the models of energy supply, which are currently presented in a wide variety. In this regard, this paper proposes to consider various models for estimating the solar energy potential, which can be divided into empirical models and models based on the application of modern intelligent data analysis technologies. Such models are based on many different climatic and geographical indicators, such as: longitude of sunshine, ambient temperature, serial number of the day of the current year, amount of precipitation, average and maximum values of wind speed and so on. The paper analyzed the existing models for estimating the amount of energy, which can be used in the system designed to determine the most optimal configuration of the energy system based on the use of various conversion technologies most relevant to the case under study, and also serve as the basis for creating digital twins designed to model and optimize the operation of the projected energy complex

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Methodological foundations of innovative solutions in renewable energy engineering

Cited by 3 publications

References 0 publications

Designing an Intelligent Information and Analytical System for Evaluating Solutions in Renewable Energy Based on Digital Twins

Designing an Intelligent Information and Analytical System for Evaluating Solutions in Renewable Energy Based on Digital Twins

Increasing efficiency and safety of operation of underground tunnel escalators. The software architecture

Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems

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