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Industrial<br />

Internet<br />

Applications<br />

By Eric Mino, GE Hitachi Nuclear<br />

Energy.<br />

Eric Mino<br />

Eric Mino joined GE in 2005 and has<br />

held a variety of<br />

positions at GE<br />

Hitachi Nuclear<br />

Energy including<br />

Nuclear Controls<br />

and Systems<br />

Upgrades Manager,<br />

Innovation<br />

Leader and Vice<br />

President of Asset<br />

Management<br />

Services. He<br />

currently serves<br />

as Vice President<br />

of Digital Nuclear<br />

Services. Eric<br />

holds a Bachelor<br />

of Science in<br />

Facilities and Plant<br />

Engineering from<br />

the Massachusetts<br />

Maritime<br />

Academy and a<br />

Master of Business Administration<br />

from the University of North Carolina<br />

Wilmington.<br />

Responses to questions by Newal<br />

Agnihotri, Editor of Nuclear Plant<br />

Journal.<br />

Exelon Generation has utilized data<br />

and analytics to optimize performance<br />

at Limerick Generating Station. Now the<br />

utility is working with GE Hitachi Nuclear<br />

Energy to develop digital solutions based<br />

on GE’s Predix platform.<br />

1. Last year, it was announced that<br />

Exelon would pilot GE’s Predix platform.<br />

How did this decision come about?<br />

GE Hitachi (GEH) and our GE<br />

Digital Teams have been working with<br />

Exelon since the summer of 2014 to<br />

explore how Exelon could benefit from<br />

the Predix platform. Exelon saw our<br />

approach with Predix as a Platform as<br />

a Service (PaaS)<br />

solution unique in the<br />

Industrial Internet<br />

arena. Exelon and<br />

GEH also had very<br />

complementary<br />

thought processes<br />

and goals around<br />

innovation,<br />

digitization and the<br />

use of advanced<br />

analytics. Predix<br />

is designed to be<br />

system agnostic,<br />

which means it is<br />

able to interact with<br />

existing systems<br />

and infrastructure.<br />

The fact that Exelon<br />

would be able to<br />

leverage its existing<br />

analytics with Predix<br />

and then merge and<br />

develop new analytics on the Predix<br />

platform was an additional major benefit.<br />

2. Describe the Predix Platform and<br />

the applications that are being built on<br />

Predix for the energy industry?<br />

Predix is the platform that powers<br />

GE’s Industrial Internet applications.<br />

The Predix platform is a secure, cloudbased<br />

platform built for and by industry<br />

experts to support the unique scale<br />

and requirements of industrial data.<br />

The platform was designed to allow<br />

developers to quickly build, test and<br />

deploy applications for highly regulated<br />

industries and incorporates decades of<br />

experience in operational and information<br />

security. To help corporations like Exelon<br />

deliver on commitments by operating<br />

proactively and predictively, this software<br />

technology can align operational and<br />

performance insights agnostically across<br />

the full spectrum of generating options.<br />

The Industrial Internet is all about<br />

connecting big data, machines and<br />

the people who operate them. With<br />

this in mind, GE recently unveiled our<br />

vision for the Digital Power Plant at<br />

our global 2015 Minds + Machines<br />

conferences held in San Francisco and<br />

Dubai. The Digital Power Plant enables<br />

greater efficiency and output, more<br />

flexibility for a range of generation<br />

types including intermittent sources, and<br />

helps grid stability. The Predix platform<br />

and solutions are at the heart of the<br />

Digital Power Plant, where three core<br />

Predix suites are pulled together: Asset<br />

Performance Management, Operations<br />

Optimization and Business Optimization.<br />

Digital Power Plant’s Asset Performance<br />

Management (APM) suite of<br />

applications helps our customers reduce<br />

<strong>plant</strong> downtime and production costs<br />

through predictive and physics-based<br />

analytics. By taking a holistic, predictive<br />

maintenance approach coupled with<br />

decades of monitoring and diagnostics<br />

(M&D) experience, we are helping operators<br />

manage their power <strong>plant</strong>s at high<br />

levels of performance and reliability. Every<br />

day at GE’s remote M&D Center in<br />

Atlanta, we collect more than 30,000 operating<br />

hours of data from a fleet of more<br />

than 1,500 assets. Insights drawn from<br />

this volume of power generation big data<br />

have translated to total customer savings<br />

estimated at $70 million in 2014, up from<br />

more than $53 million in 2013.<br />

For example, one of the pilot projects<br />

at a <strong>plant</strong> within Exelon’s <strong>nuclear</strong><br />

fleet is called Watchtower and focuses<br />

on equipment reliability by utilizing<br />

APM. The ability to foresee and forestall<br />

issues is at the very core of APM for the<br />

power industry. Reliability management<br />

combines predictive advisories,<br />

expert diagnostics and situational<br />

troubleshooting to turn reactive<br />

maintenance processes into predictive<br />

ones. Analysts and operators can<br />

benchmark and compare the performance<br />

of assets, anticipate conflicts to improve<br />

reliability and extend overall asset output.<br />

Digital Power Plant’s Operations<br />

Optimization suite of applications drives<br />

better <strong>plant</strong> and fleet performance<br />

across equipment manufacturers, site<br />

20 NuclearPlantJournal.com Nuclear Plant Journal, January-February 2016

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