nuclear_plant_journal
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
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