In the electricity sector, the growing decarbonization and decentralization of energy grids requires smarter and more flexible solutions – and this is where data analytics comes in. Data enables real-time management of the grid infrastructure, more reliable forecasting for investment and maintenance, and enables the development of new energy business models and services.
Forecasting activities like predicting changes in power flow, making long-term investment decisions, and modelling consumer behaviour all rely on the availability of both good data and data analytics. Also, data analytics provides better insights into asset management, resource planning and dispatch for renewables, and demand forecasting.
For operations of power generation, reporting is becoming more automated, and so too will data analysis. This will allow operators to anticipate risks and respond faster to changes, for example, making it easier to balance renewables and manage risks.
Settlement is already data intensive. Here, data analytics will help speed up and automate the process of allocating metering data to the responsible market parties and allocating payments. This will be crucial to deal with the increasing volumes of data from smart meters. Moreover, data analytics will be driving new business opportunities, such as smart contracts, energy management across organizational boundaries and will support high frequency energy trading.
However, there are still challenges to be overcome. DNV GL’s Data analytics in the electricity sector paper looks at some of these challenges, including how to effectively capture and share all this data, and how to manage data quality, privacy, and cyber security.
Michael Wilkinson, Global Segment Leader Energy Digitalization, provides some further insights into the impact of data analytics in the electricity sector in one of our recent DNV GL Talks Energy podcast episodes. To listen to this episode or others in the series please visit DNV GL Talks Energy.
You can download the white paper here
Data Analytics in the Electricity Sector