Anastasia Golomolzina speaks at Electro-2017 on international experience of smart technology in energy
17/04/2017
Anastasia Golomolzina, an expert from the SKOLKOVO Energy Center and manager of the Internet of Energy project, gave a presentation on “The International Experience of Introducing Smart Technology in the Energy Sector: Projects and Their Technological Components” at Electro-2017. Golomolzina spoke at the “Energy of the Future: A New Perspective on Technologies Changing the World” conference organized by Expocenter with the support of the Chamber of Commerce and Industry of the Russian Federation and the State Duma Committee on Energy.
In her presentation, Anastasia highlighted that Russia is a long way off from exhausting the potential of the new technology that is currently changing the face of modern global energy. Projects involving "new energy" do exist in Russia, but, as a rule, are more concerned with the digitalization of networks and substations. Other technological innovations have yet to be put into operation. Meanwhile, neural networks and machine learning for predictive analysis of equipment fault detection, blockchains in energy markets, using accumulators, creating micro networks ("microgrids"), including "over" existing "conventional" networks, as well as virtual power plants and demand-side management projects have been successfully implemented abroad. “These types of projects can be inserted into production and create value, or at least help with economizing, from the off. Although there is not a legal basis for all these developments in Russia, the same situation can be said for other countries.” Golomolzina remarked.
Golomolzina gave several positive examples of the introduction of modern technology in energy based on IoT-solutions. For instance, the Midwest Energy Pump$mart program, which operates in Kansas, efficiently manages demand for electricity from farms, remotely connecting and disconnecting the irrigation devices of all the farms that are linked up to the system, thus reducing the peak load to 10.4 MW. Another example of the use of modern technology is the predictive maintenance used at the power stations of Tata Power, one of the largest energy companies in India. This technology monitors the technical state of power plant equipment in real time, and, by processing data with machine learning, sends out an early warning of any possible faults. The system has already proved itself in practice: the first alert given out enabled the company to look into the condition of certain equipment in a timely manner, preventing losses of $270,000.
“The introduction of flexible solutions based on IT platforms is compensated for with even just a partial upgrade of production components. However, the introduction of smart networks will be most effective only as part of an integrated approach, which involves consumers increasing their knowledge of new technology and the construction of an integrated "smart system" in the energy sector”, said Anastasia Golomolzina, an expert at the SKOLKOVO Energy Center.
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