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title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Technical and economic substantiation of the implantation of neural network technologies for optimization of the combined production of electric power and hydrogen by steam reforming method
Creators: name: ÐÐ¾Ð¿ÑÑÐµÐ², ÐÐ»ÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð²ÑÑÐ¾ÐºÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÐ½ÑÐ¹ Ð³Ð°Ð·Ð¾Ð¾Ñ Ð»Ð°Ð¶Ð´Ð°ÐµÐ¼ÑÐ¹ ÑÐµÐ°ÐºÑÐ¾Ñ
Ð¿Ð°ÑÐ¾Ð²Ð°Ñ ÐºÐ¾Ð½Ð²ÐµÑÑÐ¸Ñ
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high-temperature gas-cooled reactor
steam coversion
combined electricity and hydrogen production
neural networks
optimization model

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description: In the study, the tasks of substantiating the choice of hydrogen and electricity generation technologies, the site of the facility construction were solved, the principles and structure of neural networks for optimizing the combined production of electricity and hydrogen were proposed, the TECs were justified and the promising projects for combined production at nuclear power plants using neural networks and for optimizing the operating mode of the energy system were evaluated.
The work was carried out on the basis of materials from scientific publications and open sources.
The result of the work was calculations showing an increase in the economic efficiency of the combined production of electricity and hydrogen when included in the planning system of a neural network, the sensitivity of the project to changes in the external environment was analyzed, and recommendations were made to increase its efficiency during implementation.
The results of the work can be applied when creating planning systems for similar production complexes, as well as for more accurate forecasting of load schedules of regional power systems.