AWS for Industries
Category: Energy
How SGN extended isolated networks to AWS using AWS Transit Gateway
Overview SGN is a UK gas distribution network operator that manages the distribution network for natural and green gas to almost six million homes and businesses across Northern Ireland, Scotland, and southern England. SGN not only provides the management of the gas network (the company owns and operates 74,000km of gas mains, including high-pressure [HP] […]
Streamlining Digital Rock Analysis with cloud based workflows
This blog is part 1 of a two-blog series on digital rock and outcrop reconstruction and analysis on AWS. Part 1 will focus on digital rock analysis (DRA) and fluid flow simulation on AWS. Part 2 will focus on digital outcrop models for large-scale structural analysis. The key to accelerating research and production in the […]
Using events for secure, near-real-time integration of measurement and related data from the EnergySys platform
Energy companies operate sophisticated technical infrastructure with complex requirements, and they need to share data securely across application and company boundaries. These companies are increasingly focused on achieving agile operations, responding rapidly to change, and developing new solutions in an evolving business context, including energy transition. However, conventional approaches to data sharing are often cumbersome, […]
How Lunar Energy is using AWS to create a customer-led energy system
Lunar Energy (Lunar) has a mission to power homes around the world with endless clean energy. Recognizing the urgent need to reduce carbon emissions and combat climate change, Lunar is focused on building the digital infrastructure needed to build a resilient, distributed energy system. As homes electrify by adding distributed energy resources (DERs)—such as solar […]
Using Cloud Technology to Better Protect Power Grids from Physical Threats
When was the last time you thought about how the power stays on? Probably not since you lost power in a storm. We take it for granted that the electricity and natural gas will flow. In today’s world, electricity and gas are a core foundation of the economy and of society, making energy one of […]
Maximizing the value of OT data with DeepIQ DataStudio (Data + AI) on AWS
Operational technology (OT) data refers to the data generated by sensors and other devices used in industrial settings to monitor and control physical processes. Supervisory control and data acquisition (SCADA) systems, data historians, and programmable logic controllers (PLCs) are examples of technologies that generate OT data. SCADA systems are used to monitor and control industrial […]
Secure data acquisition and control of DERs and grid devices using ASE/Kalkitech Data Hub on AWS
Industry Context In the utility industry, there is a wide range of devices and supervisory control and data acquisition (SCADA) systems that operate in an on-premises environment. With the growth of renewables and distributed energy resources (DERs), electric utilities need to change their energy planning models and operations to maintain reliability and stability of the […]
Using Seagate Lyve Mobile Cloud Import to accelerate mass geophysical data transfer into Amazon S3
Overview Energy transition and digitalization sparked a dramatic growth in the volume and complexity of data in the energy industry. The importance of data has increased dramatically over the last decade as companies rethink their strategies and embrace new ways of storing and processing data to drive actionable business insights. As enterprises continue to generate […]
Near-real-time power plant optimization for energy trading and dispatching using Amazon Web Services
The declared goal of German-based energy company EWE AG is the systematic use of modern, cloud-based IT solutions in all business areas. Highly available, high-performance, and flexibly scalable IT solutions are essential to maintain competitive advantages in the current and upcoming energy markets. In particular, the short-term power-trading market is associated with considerable challenges. For […]
Rethinking Energy with Generative AI
Over the course of the last two decades, digitalization across the energy industry has enabled new levels of operational efficiency and productivity while also helping to reduce safety risk and environmental impact. Cloud computing and the ready availability of scalable compute capacity, combined with the rapid advancement of machine learning (ML) technologies, have enabled the […]