How SAP Leonardo Can Help Utilities Build Smarter Grids
SAP Leonardo is SAP’s digital transformation engine. It is design-thinking driven methodology coupled with the latest technologies driving new solutions built on the SAP Cloud Platform. It is designed for companies to rethink business processes, find more efficient ways of doing things, and seek undiscovered revenue streams.
With sensor-based data, there is a wealth of ways that SAP Leonardo can be applied in Enterprise Asset Management. This is a first in a series of posts where we will examine by industry the types of use cases that SAP EAM customers can find with SAP Leonardo. This time around, we will be looking at how the Utilities sector can take advantage of the set of methodologies, technology, and solutions with a Smart Distribution Grid.
Traditional Maintenance Strategies
Many of our current electric distribution grids use decades-old substations and distribution lines. These outdated assets provide limited to no data, are to expensive to retrofit, and don’t provide an accurate view of network activities.
To monitor these older assets, utilities have traditionally taken a condition-based maintenance (CBM) approach—meaning they wait for an issue to arise to apply a fix. This is certainly better than no solution, as it does provide a significant amount of data on the health of the asset. However, it can be inaccurate at times leading to false alarms. There also can be hidden costs in solution deployment. Finally, the data is largely unusable for advanced and predictive analytics, and the solutions are typically only monitoring sections of the circuit.
While utilities have managed to run with these methodologies, they also leave them more susceptible to major events like equipment failure and inclement weather. Having a better view of the overall health of assets through data is the ideal state for optimizing their lifecycle and functionality.
Enabling the Smart Distribution Grid with SAP Leonardo
With a Smart Distribution Grid, which can be built with the help of the SAP Leonardo solution, smart sensors collect asset data which is then processed through a central asset data hub builton the SAP Cloud Platform. Using predictive algorithms, the data tells us when the assets need to be worked on. Then maintenance notifications are sent, and work orders are created through SAP’s digital core—meaning SAP S/4HANA.
This is tremendously valuable. Predictive maintenance can reduce costs by 10 to 40 percent versus traditional CBM. Downtime is also reduced dramatically—50 percent, as we aren’t waiting for an asset to break down before fixing it. Overall, we expect this can reduce equipment and capital investment by 3 to 5 percent just by extending the life of current assets.
Beyond the maintenance cost reduction, the Smart Distribution Grid can limit the need for physical bank inspection. That minimizes operations and maintenance efforts. On top of that, there is less necessity to retrofit all assets as with CBM, because sensors can be installed strategically. The smart sensors themselves are relatively easy to install, as they quickly clamp onto lines. That leads to a safer process for linemen. The smart sensors are also battery free, so they do not require reoccurring maintenance.
On the IT side, there is no need for custom programming for each sensor—each can operate with the same code. The Big Data platform built on SAP Cloud Platform also enables theexploitation of existing CBM data with or separately from real-time sensor data using predictive algorithms.
SAP Leonardo as the Driver
Putting together a smart distribution grid can drive efficiency and cut down costs, but it does require new technology such as Big Data capabilities and predictive analytics. SAP Leonardo can be the driver to those new technologies, providing a methodology for implementing them as well as the technological platform to build solutions.
At Vesta, we are an SAP Leonardo IoT accelerator partner with extensive experience in Utilities. Contact us to help make your gird smarter and your maintenance more efficient.