Altair Case Studies Real-Time Power Flow Visualization: A Case Study on The Electric Storage Company

	Real-Time Power Flow Visualization: A Case Study on The Electric Storage Company Altair

Real-Time Power Flow Visualization: A Case Study on The Electric Storage Company

Altair

Technology Category	Application Infrastructure & Middleware - Data Visualization Other - Battery
Applicable Industries	Electrical Grids Utilities
Applicable Functions	Facility Management Product Research & Development
Use Cases	Real-Time Location System (RTLS) Track & Trace of Assets
Services	Data Science Services System Integration
Challenge	The Electric Storage Company, a Northern Ireland-based firm, manages electric power in households from renewable sources using battery storage and IoT technologies. Their clients range from large industrial operations like Belfast Harbor, Titanic Studios, and the Harland & Wolff shipyards to residential customers, including those living in public housing projects. The challenge lies in managing a variety of base load and intermittent renewable power sources. This requires the ability to ingest, process, and analyze high-frequency information from the grid and thousands of devices. The company needed real-time insight into energy markets, the grid, battery systems, and generation facilities, as well as customer-level power consumption patterns. Understanding consumption and generation trends was crucial to optimize power routing and battery storage and ensure that power sold back to the grid or on the open market fetched the best possible price. Read More
About Customer	The Electric Storage Company is a Northern Ireland-based firm that manages electric power in households from renewable sources using battery storage and IoT technologies. The company installs smart batteries in homes and communities, along with sophisticated management software that lets homeowners sell excess energy back to grid operators when prices are high and helps them maintain the lowest possible energy input costs. The company is the lead organization for the Project Girona collaborative network which is backed by UK Research and Innovation. The project is implementing a smart power grid in Northern Ireland that utilizes renewable power sources and storage systems. Project Girona is scheduled to be completed in 2022. Read More
Solution	The Electric Storage Company developed a unique system called PARIS — Predictive Analytical Renewable Integration System. They conducted a search for best-of-breed tools that could support its data visualization, storage, processing, and deployment requirements. The company collaborated with a consulting firm to develop an architecture and then selected Amazon Web Services (AWS) to provide cloud infrastructure, Kx kdb+ as the database, and Altair® Panopticon™ as the stream processing and data visualization layer. These components were combined into a software-as-a-service (SaaS) offering which is now available to customers throughout the UK and Ireland. Panopticon provides PARIS users with excellent visibility into energy markets, including power trades and purchases, as well as electrical flow between generation sources, batteries, the grid, and power-consuming equipment. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Visualization

Other - Battery

Applicable Industries

Electrical Grids

Utilities

Applicable Functions

Facility Management

Product Research & Development

Use Cases

Real-Time Location System (RTLS)

Track & Trace of Assets

Services

Data Science Services

System Integration

Challenge

The Electric Storage Company, a Northern Ireland-based firm, manages electric power in households from renewable sources using battery storage and IoT technologies. Their clients range from large industrial operations like Belfast Harbor, Titanic Studios, and the Harland & Wolff shipyards to residential customers, including those living in public housing projects. The challenge lies in managing a variety of base load and intermittent renewable power sources. This requires the ability to ingest, process, and analyze high-frequency information from the grid and thousands of devices. The company needed real-time insight into energy markets, the grid, battery systems, and generation facilities, as well as customer-level power consumption patterns. Understanding consumption and generation trends was crucial to optimize power routing and battery storage and ensure that power sold back to the grid or on the open market fetched the best possible price.

About Customer

The Electric Storage Company is a Northern Ireland-based firm that manages electric power in households from renewable sources using battery storage and IoT technologies. The company installs smart batteries in homes and communities, along with sophisticated management software that lets homeowners sell excess energy back to grid operators when prices are high and helps them maintain the lowest possible energy input costs. The company is the lead organization for the Project Girona collaborative network which is backed by UK Research and Innovation. The project is implementing a smart power grid in Northern Ireland that utilizes renewable power sources and storage systems. Project Girona is scheduled to be completed in 2022.

Solution

The Electric Storage Company developed a unique system called PARIS — Predictive Analytical Renewable Integration System. They conducted a search for best-of-breed tools that could support its data visualization, storage, processing, and deployment requirements. The company collaborated with a consulting firm to develop an architecture and then selected Amazon Web Services (AWS) to provide cloud infrastructure, Kx kdb+ as the database, and Altair® Panopticon™ as the stream processing and data visualization layer. These components were combined into a software-as-a-service (SaaS) offering which is now available to customers throughout the UK and Ireland. Panopticon provides PARIS users with excellent visibility into energy markets, including power trades and purchases, as well as electrical flow between generation sources, batteries, the grid, and power-consuming equipment.

Impact #1	The PARIS system, powered by Panopticon, provides users with excellent visibility into energy markets, including power trades and purchases, as well as electrical flow between generation sources, batteries, the grid, and power-consuming equipment. Users have found the system easy to learn and use, even in complex industrial environments. They can see as much detail as they need without losing their view of overall trends and patterns in power production, consumption, and pricing. The system allows users to 'play back' the timeline of price changes and system performance in real time, faster than real time, or slower than real time to better understand causal relationships. It also enables on-the-fly comparisons and groupings as needed. Panopticon makes anomalies and outliers in the data easy to spot, and automated alerts notify engineers and managers when user-determined conditions are met, including conditions based on complex calculations involving multiple real-time and historical data streams.

Impact #1

The PARIS system, powered by Panopticon, provides users with excellent visibility into energy markets, including power trades and purchases, as well as electrical flow between generation sources, batteries, the grid, and power-consuming equipment. Users have found the system easy to learn and use, even in complex industrial environments. They can see as much detail as they need without losing their view of overall trends and patterns in power production, consumption, and pricing. The system allows users to 'play back' the timeline of price changes and system performance in real time, faster than real time, or slower than real time to better understand causal relationships. It also enables on-the-fly comparisons and groupings as needed. Panopticon makes anomalies and outliers in the data easy to spot, and automated alerts notify engineers and managers when user-determined conditions are met, including conditions based on complex calculations involving multiple real-time and historical data streams.

Benefit #1	Electricity cost reductions of up to 80% for industrial and residential power consumers
Benefit #2	Carbon use reductions of up to 65% with renewable technology enhanced with the PARIS platform

Benefit #1

Electricity cost reductions of up to 80% for industrial and residential power consumers

Benefit #2

Carbon use reductions of up to 65% with renewable technology enhanced with the PARIS platform

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Overview

Real-Time Power Flow Visualization: A Case Study on The Electric Storage Company

Operational Impact

Quantitative Benefit