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New generation of digitalisation in the energy sector

15th May 2019


Plant managers should embrace new technologies such as digital twins Plant managers should embrace new technologies such as digital twins

Sean Robinson describes the new generation of digitalisation in the energy sector

The energy sector began integrating digital technologies in the 1970s and rightly so, because of its high resource levels, costs of failure and outages. Here, we explore the latest technological development for the utility and energy sector.

The pace of digitalisation in energy is increasing rapidly. In fact, global investment in digital electricity infrastructure and software has grown by over 20% annually since 2014. Although many energy companies are implementing newer technologies to facilitate grid management, oil & gas companies are turning to digitalisation to improve the decisions behind exploration and production assets.

Big data, the Industrial Internet of Things (IIoT) and artificial intelligence (AI) are some of the leading technological developments across all industry sectors. Spanning these three areas is the concept of the digital twin, which has gained increasing popularity among energy companies in recent years. It can use physics-based digital models of real machines to understand their performance safely and efficiently in a simulated environment.

The virtual power plant

By creating a virtual copy of a power plant in a digital realm, managers can simulate various scenarios in real-time to improve the operation of the plant, reduce their fuel use and assist in any energy trading decisions.

There are several ways that twin technology can be implemented and, to explain, we will consider it in relation to a digital twin built on GE Digital’s Predix platform.

The first is referred to as a part twin, which is used to capture the operating history and key performance indicators (KPIs) of the existing plant. The digital twin then draws up insights and notifies the operator of any early warnings or potential problems the equipment could experience, to reduce unplanned downtime.

Next we have the product twin, which can monitor the remaining life of a certain piece of equipment, to protect against unexpected maintenance costs.

In addition to this, a system twin can be integrated to review the company’s revenue against the remaining life and maintenance costs of equipment. Ultimately, digital twins can be used to predict not only potential failures, but also potential business opportunities for energy companies.

Although the energy industry is poised for transformation with the increased adoption of newer technologies such as digital twinning, plant managers need to begin embracing these new and emerging technologies to further improve their processes and reduce expenditure.

Sean Robinson is with Novotek







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