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The article presents a study of implementations of information technologies for energy saving. The study provides an analysis of cloud platforms used in the energy sector. Most platforms are used to increase equipment load factors, diagnose it, or integrate the energy infrastructure of individual systems into large systems. The article discusses the role of man in the process of improving energy efficiency. As a result of the research, it is found that the user’s connection to energy saving will act as a significant motivation. The proposed cloud platform focused on the personalization of energy actions will create the prerequisites for the formation of a smart consumer. The article describes the structure and functionality of the system. As a result of the platform implementation, the user will be able not only to reduce his bills for energy, but to see the real effect of his actions in the overall balance.

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Electricity consumption of offshore oil and gas drilling platforms is usually provided by gas generator installations. However, such installations are expensive in operation and emit significant amounts of carbon dioxide and nitrogen oxides. Electricity consumption from the main grid is the best option, but expensive for platforms located far from the coast and with limited environmental benefits, if not supported by environmentally friendly production. Offshore wave energy technology, which is currently being developed for deep-water areas, can be connected directly to the platforms and work in parallel with gas turbines. Wave power station will save fuel and reduce carbon dioxide emissions, while there is no need for a long and expensive connection to the coastal grids. Operational strategies and fuel savings and emissions, depending on the size of the wind farm, are quantified by the example of the offshore oil and gas platform in the Far East shelf. In this paper, an assessment is made of the prospects of using the approach of dual power generation systems, which in turn will provide a significant reduction in fuel consumption and emissions, especially if we consider starting and stopping gas turbines. The main task is to find the optimal work strategy that balances the number of starts and stops of gas turbines with dissipative energy and fuel economy.

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