All the details you need about the Energy Tracks at IIoT World Days 2020

In this track Ty Burridge-Oakland will talk about data science in the hand of operations & maintenance team, showing case studies focused on gas treatment plant, gas distribution, and HRSG faults. Craig Baldwin from Losant and Eric Toperzer will explore IoT’s significance to the utility industry and why IoT is driving growth. More details about the presentations in this track below:

Data science in the hands of operations & maintenance teams
Having spent, over a decade building machine learning and A.I solutions for E.ON we realized that there is clearly a gap in the technology currently on the market. This gap is the real time machine learning analysis of multi-year data. Seems obvious but due to limitations of data indexing, bandwidth, and internet speeds,  it has not previously been feasible to access and analyse a large amount of IIOT data using machine learning in real time. Cognitive since inception have worked with some of the world’s major utilities to find valuable insights worth millions, and prove the value of using this root cause analytics performed in minutes. In this presentation I will show case studies, including gas treatment plant, gas distribution, and HRSG faults, and how we can find and obtain this value, with live demonstrations.
Creating a more resourceful world: IoT’s impact on the Utility industry
In this session, Eric Toperzer from Itron and Craig Baldwin from Losant will explore IoT’s significance to the Utility industry and why IoT is driving growth. Their combined experience of building IoT applications for utilities today encompasses common pressures utilities face, addressing the needs of the smart consumer, meeting demands for operational efficiency, and managing large amounts of data that are now a part of your organization. See more info about the speakers here. Register to this track by June 8th and get your free ticket!

In this track, four speakers will present the following topics:

Improving Customer Engagement through Innovative Utility Marketplaces

Utilities are tasked with driving higher levels of saving through their demand-side management programs. Meanwhile, to thrive as “utilities of the future,” these companies must strengthen relationships with customers beyond their traditional roles, becoming customer energy management allies. Under these pressures, the market for utility online marketplaces is growing as providers and their utility partners begin to offer new solutions to customers in the residential and small-and-medium business space. This presentation will overview the factors driving activity in the utility online marketplace market, focusing on how they can enhance demand response and other DER programs. This presentation will align with a Guidehouse Insights report on utility marketplaces (forthcoming Q1 2020) that includes drivers, barriers, and market forecasts. It will cover distinct marketplace features that can bolster customer engagement with energy providers.

Artificial Intelligence and Machine Learning wizardry: how to overcome technical road blocks and make real for power generation

Artificial Intelligence (AI) and machine learning (ML) wizardry are often portrayed by the media, however there are some critical road blocks and a way to manage them in the power generation sector.

Road block 1: Low information learning, i.e. the ability to learn quickly from a small amount of information by calling on related information. Humans are amazing at this!

Road block 2: Your “CEO brain”. Humans have a filter system which does not let all thoughts reach your conscious (for good reason, some are pretty wild and dark!) and help keep your morality.

Road block 3: Power generation contains physical things which obey the laws of physics and these things are not your every day items, they reach extreme pressures and temperatures.

In an industry where health and safety rightfully leads the agenda we thankfully don’t have enough failures to utilise to use AI or ML appropriately.

Learnings:

  1. The limitation of Artificial Intelligence (AI) and machine learning (ML).
  2. How to manage and deliver with these limitations.
  3. What success looks like when you over come the limitations (case study).
Take the pulse of your operation in the energy industries: Leverage data at your fingertips to start small and scale fast

As digitalization continues to shape the way our industry operates, being in command of operational data is integral to the future success of your business. It’s no secret that with so much information available, it can often raise more questions than answers.

  • Is it possible to create real operational value with this information?
  • How can I make the data cyber secure, granting access to those that need it, when they need it?
  • How can I leverage this to streamline my operation for the future?

Join us as we answer these questions and discuss the value of the data at your fingertips, how you can protect and connect through secure digital ecosystems, and how you can start small and scale fast across your organization.

Accelerating Innovation for Societal Impact though Public/Private Partnerships
 

National Science Foundation innovation programs move ideas from the lab to the marketplace to strengthen America’s economy, health, and security. NSF’s Directorate for Engineering’s Division of Industrial Innovation and Partnerships (IIP) supports programs to accelerate NSF-funded and federally-funded fundamental research into market opportunities and fosters public-private partnerships to advance technological innovation. IIP invests in high-tech small businesses and collaborations between academia and industry to transform discoveries into innovative commercial technologies with societal benefits.

Examples of successful public/private partnership models in the energy sector will be presented and discussed, along with the various IIP program opportunities.

Check the speakers here.

A roundtable discussion focusing on making digital solutions a reality in the oil, gas and power generation sectors. Many benefits have been promised, but expectations have not been reached. Expectations have been fueled by quick returns from other sectors, however, when understanding the limitations and important facets for oil, gas and power generation the benefits which have been achieved (case studies) are even greater. The roundtable will explore these limitations, how to overcome them and how extract value with real-life case studies.

Check the speakers here

the value of iot data

IoT data is a tremendous asset – but how can organizations tap into the value? Discover specific ways your enterprise can utilize IoT data with examples and guidance from the Losant Guide. Get actionable steps for using data immediately and new considerations for revenue generation.

Covered topics:

  • What is the value of the data?
  • How do I get there?
  • Buy vs. Build
  • The difficulty with data
  • Uncover efficiencies with data visualization
  • Getting to the data
  • From raw data to ROI

According to Frost & Sullivan’s estimates, by 2030, 30% of the power workforce is eligible for retirement, placing the onus on utilities to reskill and reinvent to face future challenges. Therefore, the increasing adoption of IIoT will play a vital role in asset upgrades and management, and seamless portfolio integration with efficient data management, aiding in managing the workforce efficiently.

Learn about the best practices Uniper Energy has in place as the recipient of Frost & Sullivan’s 2020 Global Industrial IoT Platform for Power Generation Product Leadership Award.

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