Managing energy grids has grown ever more complex as the number of connecting devices has risen sharply. Millions of two-way communicating smart meters, pieces of advanced substation automation equipment, and distributed generation assets have come online in recent years, creating an intricate Internet of Things (IoT) network that can challenge even the best of grid managers. Connecting all these devices is a challenge, and is by no means trivial.
How Best to Organize and Interpret Data from Connected Energy?
The real test comes when trying to organize, make sense of, and glean valuable insights from the huge data volumes generated by these IoT devices and sensors. From there, the objective becomes turning those insights into useful and lasting applications for today and tomorrow. Solutions vendors have worked hard to meet their grid customers’ need for advanced technological tools to manage the data and applications. Lately, the vendors have developed some new offerings.
Platforms for Smart Cities and Utilities
Landis+Gyr launched its Gridstream Connect IoT platform, which is aimed at utility, smart city, and consumer applications. The platform is designed to integrate a variety of smart devices and utilize various communication protocols, including radio frequency mesh, LoRa, and cellular. The platform’s IPv6-based architecture can work independently with third-party devices and software to control street lights, solar inverters, EV charging stations, environmental sensors, and an array of distribution assets. The overarching idea is to provide utilities a way to leverage sensor technology at the grid edge for smart community and smart home applications, while also laying a foundation for future distribution strategies.
SAS and Trilliant joined forces to create a harmonized system that targets analytics for IoT. Under the agreement, SAS will contribute its event stream processing capabilities for structured and unstructured data, and provide machine learning technology for event detection, distributed energy resources optimization, and revenue protection. The SAS pieces will be matched with data from Trilliant’s real-time, multi-technology, multi-application networking platform. The two firms are already working jointly with the town of Cary, North Carolina, where they are in the middle of deploying analytics-based applications for street lighting, with the goal of improving public safety and boosting energy efficiency throughout the town.
Predictive Maintenance Software Solutions
ABB unveiled its Ability Ellipse software solution, which is designed to help utilities take a more proactive approach to predictive maintenance. The Ability Ellipse software unifies the functionality of ABB’s enterprise asset management, workforce management, and asset performance management packages. The software suite enables customers to better optimize asset utilization, and reduce equipment failures and system outages. Ability Ellipse is the latest offering in the firm’s Ability family, which embeds business processes and leverages real-time equipment data and IoT to connect predictive analytics and asset management systems to mobile workers in the field.
These three examples of the latest solutions are by no means the only ones in the market. Competitors like Itron and Siemens come to mind. Yet these latest moves by the above vendors signify that current tools are inadequate to harness the growing complexity of energy grids. As the digital transformation of energy markets continues, grid managers will need these types of advanced software solutions to seize the opportunities awaiting them as they forge the emerging grid of tomorrow. Without them, the opportunities will be lost, or upstarts will move in with advanced tools and disrupt the incumbents.
Tags: Digital Utility Strategies, Distributed Energy Resources, Home Energy Management, Internet of Things, Utility Transformations
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