Digital transformation and cybersecurity |
Topic Area 6 – Integration of new concepts and technologies with existing infrastructure
GE Vernova will demonstrate GE’s Attack Detection and Accommodation (ADA)
technology within five targeted areas: natural gas power generation plant; onshore wind; hydro power; grid substation; and natural gas pipeline distribution.
Stony Brook University will demonstrate
encryption of data in the power grid network, while also allowing smart network nodes to have access to the encrypted data and enable desired functions such as false data injection detection.
Databricks aims to bring generative AI to the energy sector
Data and AI company Databricks has launched what it calls the Data Intelligence Platform for Energy, a “unified platform bringing the power of AI to data and people across the energy sector.”
Built on an “open lakehouse architecture”, Databricks says its Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP. Users “gain a holistic view into their operations in real time to pre-emptively address maintenance needs, reduce unplanned downtime, [and] accurately forecast power generation.”
“Octopus Energy is transforming energy systems through tech, delivering exceptional customer service while bringing bills down for customers. Databricks’ Data Intelligence Platform for Energy plays a key role in this, allowing us to process and analyse large data sets generated by smart meters,” said David Sykes, Head of Data at Octopus Energy.
“Successful energy companies will set themselves apart by leveraging data, analytics and AI in novel ways to simultaneously minimise the risk of their strategies and tap new opportunities enabled by the energy transition,” said Shiv Trisal, Global Industry Leader for Energy and Manufacturing at Databricks. “This requires a different approach
towards data intelligence that puts the power of AI in the hands of every user regardless of technical ability, allowing them to unlock unique insights from the company’s full knowledge base and data to power new innovations and shape a smarter, reliable and sustainable energy system for all.”
The Data Intelligence Platform for Energy offers what are described as “packaged use case accelerators” that are designed to jumpstart the analytics process and offer a blueprint to help organisations tackle critical, high-value industry challenges. These include:
Large Language Models for knowledge
base Q&A agents: Easily build an LLM- powered chatbot with Databricks that is pretrained with industry context and a customer’s knowledge base to offer an elevated, personalised experience to their end users.
IoT predictive maintenance: Ingest real- time Industrial Internet of Things (IIoT) data from field devices and perform complex time- series processing to maximise uptime and minimise maintenance costs. Digital twins: Process real-world data in real-time, compute insights at scale and deliver to multiple downstream applications for data- driven decisions.
Wind turbine predictive maintenance: Analyse wind farm productivity and predict faulty wind turbines through a mix of AI/ML and domain-specific models.
Grid-edge analytics: Optimise energy grid performance and prevent outages by unifying data from various IoT devices and training a fault detection model to easily spot and address anomalies.
Source: Databricks
Real time data ingestion platform (RTDIP): Enables optimisation, surveillance, forecasting, predictive analytics, and digital twins with a cloud- native open source framework focused on data standardisation and interoperability.
Arenko and Smart Metering Systems expand software partnership with 10 year deal
Arenko and Smart Metering Systems (SMS) have agreed to expand the scope of their relationship with a ten-year deal. Arenko has been providing end to end trading software to automate key trading processes across SMS’s growing battery energy storage business as part of an initial deal agreed in 2021.
Nimbus, Arenko’s enterprise grade software platform, is being licenced by SMS’s in house trading team for all revenue generating activities, with full automation capabilities and access to all markets available under the licence.
SMS’s battery business currently has 240 MW of grid scale energy storage assets operational from a total exclusive pipeline of 860 MW. It is targeting a minimum portfolio of 1500 MW by 2030.
Arenko’s Nimbus platform serves as the centralised operating system for enterprise customers to trade, manage and operate energy transition assets and portfolios by analysing and operationalising massive amounts of data to drive efficiency and performance improvements using AI and ML, linking trading, integrations,
30 | May 2024|
www.modernpowersystems.com
asset management, risk management and back- office functions.
Nimbus is currently being used to operate approximately 600 MW of batteries, with further onboardings set to roughly double this in 2024. A longer-term secured pipeline of around 2 GW of batteries is signed up to use Nimbus. Arenko is also expanding internationally and into renewables and hybrid projects, having recently announced the successful launch of co- location capabilities in both wind and solar with Vattenfall and Engie respectively.
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