GE’s digital center in Atlanta uses data from power plants to spot trouble and save money. The center, the largest of its kind in the world, looks a lot like a smaller version of NASA’s mission control center. It has banks of computers and a wall-to-wall colorful LED screen flashing real-time operating conditions inside 5,000 turbines, generators, and other equipment churning away at more than 950 power plants located in 75 countries and serving 350 million people. Every day, 1 million sensors attached to the machines send 200 billion data points to the cloud and to computers sitting directly on the machines. The brain of the center is GE’s new Asset Performance Management (APM) software application, and it will make the center’s predictive powers even more formidable, by giving customers more advanced warning of issues that might trigger an outage. The “brain” also makes it easier for GE engineers and their customers to compare notes in real time and spot problems before they happen. Customers with the software see exactly what GE’s experts see. As a result, they minimize downtime and optimize power plant performance and save utilities money. Come take a look behind the curtain and see how predictive analytics can help you to be more productive and reliable. ** This event is open to end-users only and requires a $25 fee to secure your spot. Tours will run at 9 a.m. and 10:30 a.m. Limited Seating. Must have identification with you to go on the tour.

Ensuring personnel safety must be paramount in every industrial setting. Emerging digital solutions are equipping employers with novel ways of ensuring safety—and the value benefits could extend to performance gains, reliability, customer satisfaction, and regulatory compliance.

• Craig Nicholson, Consultant, IEM Energy Consultants
  ×

  Craig Nicholson

  Consultant

  IEM Energy Consultants

  

  Craig has over 20 years progressive power generation experience spanning across US, Canada and UK. Craig’s career progressed from leading gas turbine commissioning teams through to full P&L business management with multiple major Original Equipment Manufacturers. This includes managing Alstom’s North America Controls and Diagnostics Engineering teams, Alstom’s Canadian turbine business as well as a global leadership role in GE’s Cross Fleet organization. Craig brings deep domain knowledge and insights to the power plant controls and automation industry. He previously led design and development of innovative new power plant automation products and continues as a thought leader in Digital Transformation and automation innovation in the power industry. Craig currently consults in the power industry supporting Owners and Operators on a commercial and technical basis, including contract negotiation, plant controls retrofits and digital transformation.
• Anne-Marie Walters, Industry Marketing Director, process & Resources, Bentley Systems Incorporated
  ×

  Anne-Marie Walters

  Industry Marketing Director, process & Resources

  Bentley Systems Incorporated

  

  Anne-Marie Walters joined Bentley in 2004 as a global marketing director. In this capacity she is responsible for the marketing and positioning of Bentley’s solutions and products that address the needs of the industrial sector including oil & gas, process & discrete manufacturing, and mining industries. Ms. Walters, who is a chartered chemical engineer, has represented Bentley on the board of the Construction Industry Institute and is also heavily engaged in the activities of FIATECH. She sat on the board of the Engineering Contractors and Constructors Association between 2005 and 2010 and was the Chair in 2009. In addition, she is a founding member of the Process Industries STEP Consortium (PISTEP) committee and has served on the boards of CIMsteel and the United Kingdom’s chapter of the International Alliance for Interoperability (IAI). She is frequently a guest speaker at industry events sponsored by these and other organizations.
• Mr. Pete Davies, VP of Digital Engineering Solutions, Uniper Enerlytics
  ×

  Pete Davies

  VP of Digital Engineering Solutions

  Uniper Enerlytics

  

  Pete is a Dad, husband; proud dyslexic; and digital engineer. Working on tomorrows energy problems today, by combining engineering and digital technologies to create complete solutions to help the world in our energy transition to a lower carbon future. Pete has worked in the energy sector for 11+ years on the boundary between IT and engineering or trading delivering solutions for the opportunities and problems that arise in this space. Prior to the energy sector Pete worked in pharmaceuticals supporting the R&D and recipe aspects. Pete is the founder of Enerlytics by Uniper, a digital platform which combines Uniper’s engineering expertise based on a pedigree of 100 years; owning and running 34GW of power plant with a drive for OEM independence
• Chris Welch, Enterprise Improvement, Tennessee Valley Authority (TVA)
  ×

  Chris Welch

  Enterprise Improvement

  Tennessee Valley Authority (TVA)

  

  I’ve been involved in some fantastic projects over the years. They tend to be bleeding edge technologies, which is a blast! Wired networks, wireless networks, servers, and everything in between are my modus operandi. My goals in life include solving problems with new technologies, and using technology to make a difference in the lives of those around me. Specialties: My specialties include engineering solutions, and translating between those who speak technology and those who need it. I love to build strong/passionate teams that can reach the moon and beyond. Come to us with your problems, and we will solve them. Recent Projects: Industrial sensors (IIoT), non-ip based wireless communications, machine learning, AI, robotics, hybrid manufacturing, and changing the world bits at a time. Putting the techy stuff aside for a bit, my other passion is developing leadership and making connections between amazing people. Taking advantage of my experiences from a broad range of fields, I have been able to leverage my time around some very different thinkers. I like to share those thinking styles to others over discussions and sessions while we develop ideas and solutions. I cannot think of anything that is more fun than that at work.
• Annamalai Lakshmanan, IT Leader, Florid Power and Light
  SmartGlasses - Solutions and Challenges

  SmartGlasses - Solutions and Challenges

  ×
  ×

  Annamalai Lakshmanan

  IT Leader

  Florid Power and Light

  
• Sharul A. Rashid, Custodian, Instrument and Control, Petronas
  ×

  Sharul Rashid

  Custodian, Instrument and Control

  Petronas

  

  Sharul graduated with a Bachelor of Science from University of Miami, Coral Gables Florida in 1988 and then graduated in Master Engineering from University of Florida, Gainesville, Florida in 1990. He has been serving with PETRONAS, Malaysia for over 29 years in various Oil & Gas facilities – Pipeline Gas Transmission Operations Division, Liquefied Natural Gas (LNG) Plant , Refinery and Aromatics Plant. He is now Custodian/Chief Engineer - Instrument & Control, leading an Instrumentation group for PETRONAS Malaysia in the area of OT cybersecurity. Sharul is certified ISA/IEC 62443 Fundamental Cybersecurity Specialist for Industrial Control System.

www.mobideo.com/connected Optimizing Workforce Performance during Shutdown, Turnaround, and Outage Execution Maintenance Digitalization Platforms connect teams with each other and the information they create and consume at the workface, streamlining collaborative work processes, and dramatically improving manageability while improving quality and real-time communication. This session will look at how a digitally connected workforce moves faster, reacts to change quicker and generates the data to support innovation in a learning organization. Additionally, we will discuss how maintenance digitalization facilitates the automation of coordination and administration tasks, leaving experienced and highly valuable resources more time to manage changing priorities and emerging work effectively.

• Paul Muir, President, North America, Mobideo
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  Paul Muir

  President, North America

  Mobideo

  

  Following a short career as a Marine Engineer Paul graduated from Heriot-Watt University, Edinburgh with an honors degree in the then new field of Computer-Aided Engineering. After a short period as a practicing design engineer at Unisys, Paul entered the IT industry ultimately acquiring and growing the UK’s largest Computer Aided Design (CAD) system vendor. In 1997 Paul founded McLaren Software with a focus on Asset Intensive Industries including Oil & Gas, Utilities, and Construction. The business gained a market leadership position and international footprint with 60% of revenues in North America and significant businesses in Europe and Australia. Paul has helped many Fortune 2000 companies improve Capital Project and MRO performance and compliance by leveraging enterprise software and cloud solutions focused on Project Controls, Contract Management, Mobility, and Business Process Management. Today, as President of Mobideo, Paul continues to work with customers looking to leverage emerging Industrial Internet of Things (IIoT), Enterprise Mobility, Cloud, and Analytics technology to drive service process transformation in the Oil & Gas, Chemical, Aviation and Power Industries. Paul has lived in Houston Texas with his family since 2004.
• Louis LaBella, Executive Vice President and President of Refining, Delek, Delek US
  ×

  Louis LaBella

  Executive Vice President and President of Refining, Delek

  Delek US

  

Built by the industry, for the industry, this digital experience will provide an opportunity to learn first-hand about technology solutions focused on AR/VR, condition based maintenance, operations, and more. Check out this interactive, experiential digital showcase of all the latest elements and technology of a connected power plant located in our digital arena. This Showcase will be open for the duration of the exhibition and available for all attendees to explore.

• Lucian Fogoros, Co-Founder & Managing Director, lloT World
  ×

  Lucian Fogoros

  Co-Founder & Managing Director

  lloT World

  
• Matt Buck, Senior Technical Leader, EPRI Electric Power Research Institute
  Augmented / Virtual Reality

  Augmented / Virtual Reality

  ×
  ×

  Matt Buck

  Senior Technical Leader

  EPRI Electric Power Research Institute

  

  Matt Buck joined EPRI in 2015 after more than 16 years of operational experience in the power industry. Matt is a currently a Senior Technical Leader in EPRI’s Operations and Maintenance (O&M) research group in the Generation sector. He oversees R&D that supports plant O&M excellence. Matt’s work include O&M performance assessments, work planning, equipment reliability, and changing mission profiles for plants; but his passion is the Digital Worker concept. This work focuses on the use of advanced mobile technology to make the O&M field worker smarter, safer, and more effective.
• Brian Alessi, Director of Product Marketing, Everactive
  Condition Based Maintenance

  Condition Based Maintenance

  ×
  ×

  Brian Alessi

  Director of Product Marketing

  Everactive

  

  Brian Alessi is the Director of Marketing at Everactive, a technology company that combines batteryless wireless sensors and cloud analytics to deliver end-to-end Industrial IoT solutions. Brian drives product positioning and messaging, customer development, and go-to-market strategy for the company. In that capacity, he works closely with customers who are responsible for innovation initiatives, sustainability projects, maintenance & reliability, and overall plant management. During his time with the Everactive, Brian has held various operational leadership roles. Prior to Everactive, Brian worked in management consulting in New York, where he advised clients on business process, information technology, and controls-related challenges. Brian received his MBA from the University of Virginia's Darden School of Business and his BA from Boston College.
• David Green, Monitoring and Diagnostic Center Analyst Sr., American Electric Power
  Plant Data Historian and Advanced Pattern Recognition Software

  Plant Data Historian and Advanced Pattern Recognition Software

  ×
  ×

  David Green

  Monitoring and Diagnostic Center Analyst Sr.

  American Electric Power

  
• Ms. Sepideh Rajaeirad, Senior Analytics Engineer, Seeq Corporation
  Optimization/Analytics

  Optimization/Analytics

  ×
  ×

  Sepideh Rajaeirad

  Senior Analytics Engineer

  Seeq Corporation

  

  Sepideh (“Sep”) Rajaeirad is a Senior Analytics Engineer with Seeq. Sep has around 10 years of experience in chemical manufacturing and oil & gas industry at different roles. In her last role with Enbridge Inc. as Process and Analytics Engineer, Sep applied her knowledge of advanced data analytics and machine learning to solve engineering challenges. Her passion in tech made her to propose and successfully apply the application of advanced analytics, Machine Learning and AI in manufacturing and process industries in order to enhance efficiency and drive business values using their rich source of data. Sep holds B.Sc. degree in Chemical Engineering from Amirkabir University of Technology (Tehran Polytechnique) and M.Sc. degree in Chemical Engineering from University of Alberta in Canada focused on advanced data analytics.

MAINTENANCE DIGITALIZATION SIMULATION Enjoy a hot breakfast and take part in this interactive session that will provide a unique opportunity to utilize intrinsically safe tablets to navigate procedures as a skilled technician, discover real-time alerts that trigger craft handover workflow, and report a delay as an Inspector. Throughout this simulation, you will assume the role of Connected Manager™ and witness firsthand the real-time visibility for enhancing, streamlining, and expediting decision making by leveraging Mobideo’s Digital Wall Chart. Finally, you will examine analytics to drive process improvements for the next shutdown, turnaround, outage or maintenance event. JOIN US! This FREE Simulation is open to all end-user conference attendees! Wednesday, February 26, 2020 – 7:00-7:45am Thursday, February 27, 2020 – 7:00-7:45am

• Sonal Patel, Senior Associate Editor, POWER magazine
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  Sonal Patel

  Senior Associate Editor

  POWER magazine

  

  A national award–winning multimedia journalist, Sonal Patel has covered a wide range of technology, business, and policy issues affecting the power industry worldwide for POWER and its sister publications since 2008. Along with keeping her eye on national and international matters for POWER magazine’s monthly department Global Monitor, she contributes in-depth analysis and spot news pieces for POWER and POWERnews. She also surveys, crunches, and visualizes power generation data and trends from around the world for POWER’s web and print infographics and other multimedia. She is a graduate of the University of Houston.
• Tim G. Echols, Commissioner, Georgia Public Service Commission
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  Tim Echols

  Commissioner

  Georgia Public Service Commission

  
• Scott Jenkins, Senior editor, Chemical Engineering Magazine
  ×

  Scott Jenkins

  Senior editor

  Chemical Engineering Magazine

  
• Benjamin Blanchette, Sr. Director - Digital Innovation & Transformation, Georgia-Pacific
  ×

  Ben Blanchette

  Sr. Director - Digital Innovation & Transformation

  Georgia-Pacific

  
• Dr. Mark Berry, Vice President of Environmental & Natural Resources and Research & Development for SCS, Southern Company
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  Mark Berry

  Vice President of Environmental & Natural Resources and Research & Development for SCS

  Southern Company

  

  Dr. Berry began his career in the Research & Environmental Affairs organization in 1996 as an intern. Over his career he has held positions of increasing responsibility, including director of Research & Technology Management. After a stint outside of Southern Company as a research director at the Southern Research Institute and the Electric Power Research Institute, Dr. Berry rejoined Southern Company in 2015 as vice president of Environmental Affairs at Georgia Power. He holds a bachelor's degree in mathematics from Alabama A&M University and a bachelor's and master's degree in mechanical engineering and a Ph.D. in interdisciplinary engineering from the University of Alabama at Birmingham. He also earned a master's degree in public and private management from Birmingham Southern College and is a registered professional engineer in the State of Alabama.
• Chris Benson, Principal Artificial Intelligence Strategist, Lockheed Martin
  Artificial Intelligence - Hype/Hope/Potential

  Artificial Intelligence - Hype/Hope/Potential

  ×
  ×

  Chris Benson

  Principal Artificial Intelligence Strategist

  Lockheed Martin

  

  Chris Benson is the Chief Strategist & Communications Lead for Artificial Intelligence, High-Performance Computing, and AI Ethics at Lockheed Martin. He reports directly to the global Chief Data & Analytics Officer. Chris came to Lockheed Martin from Honeywell SPS, where he was Chief Scientist for Artificial Intelligence & Machine Learning. He built and operationalized Honeywell’s first dedicated AI team from the ground up. Before that Chris was on the AI Team at Accenture. He is Co-Host of the Practical AI podcast, which reaches thousands of AI enthusiasts each week, and is also the Founder & Organizer of the Atlanta Deep Learning Meetup - one of the largest AI communities in the world, with nearly 3000 members

Like safety, security must be baked into every connected plant application. While security risk mitigation has evolved in parallel with technology application, navigating its complexity in an ever-changing threat environment can be daunting. In this session, learn how effective cyber-risk mitigation strategies can be deployed for operational technology.

• James Goosby, I&C Support General Manager, Southern Company
  ×

  James Goosby

  I&C Support General Manager

  Southern Company

  

  James Goosby is serves as the Instrumentation and Controls Support General Manager within the Southern Company Technical and Project Solutions organization. He and his team are responsible for plant Instrumentation and Controls Field Support Services and Generation Cyber Security Program Management. James has held various leadership positions within Southern Company Generation over the past 24 years to include plant Operations, Maintenance and Engineering. Prior to joining Southern Company James served in the U.S. Marines and holds a Bachelor of Science degree in Electrical Engineering from Auburn University.
• Kenneth Ferguson, Vice President, Nuclear Technology, Global Nuclear Associates
  ×

  Kenneth Ferguson

  Vice President, Nuclear Technology

  Global Nuclear Associates

  

  Kenneth Ferguson has been involved in high profile initiatives for over forty years as an engineer, senior manger, and consultant .His current affiliations include being involved as a technology Vice President as well as providing strategic planning services .Involvements have included the power generation, information technology ,petrochemical industries including the private sector and government agencies. A recurrent responsibility has involved program development, change management, and transforming organizations to respond to key situations ,establishing effective cyber culture is a relevant, high priority involvement. Dr. Ferguson has physics and engineering degrees from the University of Michigan(Ann Arbor) and Carnegie-Mellon University. Past affiliations have included as employee of Westinghouse Electric, and then Price-Waterhouse Coopers. He has operated his own consultancy for over ten years.
• David Foose, Security Program Manager, Emerson Power & Water Solutions
  ×

  David Foose

  Security Program Manager

  Emerson Power & Water Solutions

  

  David Foose is the Security Solutions Program Manager at Emerson Automation Solutions, Power & Water Solutions. In this role, David is responsible for setting the direction of Emerson’s security solutions business including establishing product and service roadmaps, providing sales support and leading the Ovation Cyber Emergency Response Team. David frequently presents on the topics of cybersecurity and industrial control system protections at industry conferences and trade shows and is active in the threat intelligence community ensuring Emerson is able to provide timely notification to its user base regarding current threats and malware campaigns. Previously, David was the Ovation Security Technology Development Manager responsible for the overall design, development and implementation of security controls for the Ovation control system as well as Emerson’s Power and Water Cybersecurity Suite. Prior to joining Emerson in 2008, David worked for more than 10 years in a commercial IT environment as a network administrator responsible for security hardware and software evaluation. David’s educational background includes a Bachelor’s degree complemented by a Master’s of Science degree in IT Security and Assurance from Robert Morris University along with several industry certifications focused on the security and defense of Industrial Control Systems. David resides in Gibsonia, PA with his wife Jaime and two daughters Paige and Piper.
• Shahrul A. Rashid, Custodian, Instrument and Control, Petronas
  ×

  Sharul Rashid

  Custodian, Instrument and Control

  Petronas

  

  Sharul graduated with a Bachelor of Science from University of Miami, Coral Gables Florida in 1988 and then graduated in Master Engineering from University of Florida, Gainesville, Florida in 1990. He has been serving with PETRONAS, Malaysia for over 29 years in various Oil & Gas facilities – Pipeline Gas Transmission Operations Division, Liquefied Natural Gas (LNG) Plant , Refinery and Aromatics Plant. He is now Custodian/Chief Engineer - Instrument & Control, leading an Instrumentation group for PETRONAS Malaysia in the area of OT cybersecurity. Sharul is certified ISA/IEC 62443 Fundamental Cybersecurity Specialist for Industrial Control System.

How do you implement an operational technology network that will adequately support your digitalization plan? This session offers approaches that can be utilized to "connect" your plant and realize effective and secure systems integration.

• Lauhael S. Godinho, Director, Digital IT: Logistics, Controls, PCN & Operational Systems, Phillips 66
  ×

  Lauhael Godinho

  Director, Digital IT: Logistics, Controls, PCN & Operational Systems

  Phillips 66

  

  o Lauhael Godinho is the Director IT for SCADA, ICS, Controls & Operational Systems for Refining & Midstream at Phillips 66. He has a BE in Information Technology (IT), MS in Computer Information Systems (CIS) & MBA in Management of Technology. A large portion of his career has been focused on bridging the OT ~ IT divide, and enabling Digital Transformation with an eye towards ICS Cybersecurity across the Refining & Midstream business units.
• Bradley G. Houk, PE, Senior Engineering Advisor ExxonMobil Open Process Automation Project Manager, ExxonMobil Corporation
  ×

  Bradley Houk

  Senior Engineering Advisor ExxonMobil Open Process Automation Project Manager

  ExxonMobil Corporation

  

  Brad is a Senior Engineering Advisor with ExxonMobil Research and Engineering Company. Brad has more than 30 years’ experience in the refining and chemicals industry. Most of his career has been focused in the control and optimization areas having been involved in the full range of activities from regulatory controls through raw materials valuation. Since October 2017, Brad has been the Program Manager for ExxonMobil’s Open Process Automation R&D program which is leading the development of a standards-based, open, secure and interoperable process control architecture. During his career Brad has worked in R&D, engineering and manufacturing roles.
• Juan Panama, Global Business Development Manager, Emerson Automation Solutions
  ×

  Juan Panama

  Global Business Development Manager

  Emerson Automation Solutions

  

  Juan Panama is the Global Business Development Leader for the Power Industry and has been with Emerson for six years. He is focused on helping utilities increase availability, reliability, safety and workforce effectiveness using wireless technology. He has an undergraduate degree in Mechanical Engineering as well as a Master’s in Business Administration from the University of Minnesota in Minneapolis Minnesota.
• Benjamin Blanchette, Sr. Director - Digital Innovation & Transformation, Georgia-Pacific
  ×

  Ben Blanchette

  Sr. Director - Digital Innovation & Transformation

  Georgia-Pacific

  

Turnarounds and outages are ridden with high risks, and critical delays can be costly. This session will survey digital tools that can help identify, with more precision, the scope of work required. Tools can also enable more efficient scheduling, helping to ensure safety during a turnaround, and ensuring a project will be completed on time and on budget.

• Matthew Peters, Manufacturing Engineer, 3M
  ×

  Matt Peters

  Manufacturing Engineer

  3M

  
• James Del Rossi, Mobile Hardware Architect, Dow Water & Process Solutions
  ×

  James Del Rossi

  Mobile Hardware Architect

  Dow Water & Process Solutions

  
• Jason Pring, VP – Digital Sales, GE Power
  ×

  Jason Pring

  VP – Digital Sales

  GE Power

  

  Jason Pring is currently an Executive at GE Digital, a leading Digital Industrial solution provider in the Internet of Things on the “Edge” and in the “Cloud”. Jason has been with GE for 25+ years solving customer generation business issues across Thermal, Nuclear, and Renewable technologies in the global energy industry. His career includes leadership roles in Power Plant and Services Sales, Marketing, Commercial Deal Structuring, Risk Management and Regional P&L General Management. In his current role, Jason works with global Investor Owned and Public Utilities, Independent Power Producers, and Industrial cogens in both Regulated and Deregulated markets to better understand and address business critical issues in the evolving energy market. He brings market thought leadership coupled with a deep power domain expertise to structure Business Cases that quantify fleet or plant Value around lowering production costs, increasing revenues linked to improving plant utilization and capabilities and optimizing reliability & availability. Using these insights, Jason works to structure SW/HW/Services solutions that once deployed, enable customers to make better business decisions linked to operational readiness. Jason is based in Atlanta, Georgia and holds a Bachelor’s Degree in Mechanical Engineering from North Carolina State University.
• Ares Panagoulias, Sales & Engineering Manager- Wireless Condition Monitoring, Test Lab Manager, Hydro, Inc
  The Advantages of Wireless Condition Monitoring over Route-Based Monitoring for Developing a Successful Predictive Maintenance Strategy

  The Advantages of Wireless Condition Monitoring over Route-Based Monitoring for Developing a Successful Predictive Maintenance Strategy

  ×
  ×

  Ares Panagoulias

  Sales & Engineering Manager- Wireless Condition Monitoring, Test Lab Manager

  Hydro, Inc

  

  "Ares Panagoulias manages the sales and engineering of IIOT Wireless Condition Monitoring product and services. He works directly with customers to utilize wireless data collection to improve rotating equipment maintenance strategies, increase availability, and reduce downtime in the Nuclear, Power Utility, Pipeline, and Oil & Gas industries. Ares is also responsible for the operations and management of all functions related to testing of high energy pumps, primarily for the Nuclear (safety and non‐safety related), Power Utility, Pipeline, and Oil & Gas industries at Hydro’s Pump Test Lab. Ares is a Category III ISO 18436-2 Vibration Analyst. He has contributed to numerous internal and external R&D projects, including the pump test software for the Hydro Performance Test Lab, a testing program for Toshiba VLP Drive Software, a preventative maintenance software based on measurement fluctuations in motor volt and amp levels, and ongoing efforts to improve condition monitoring equipment in field installations.
• Bhanu Srilla, Director of Product Marketing, Grace Engineered Products, Inc,
  Using Technology to Enhance Plant Electrical Safety and Maintenance Operations: A Reliability Topic

  Using Technology to Enhance Plant Electrical Safety and Maintenance Operations: A Reliability Topic

  ×

  Maintenance personnel at facilities spend most of their time “fixing stuff” to keep up with their productivity and operational metrics. On the other hand, industry reports and data suggest that most work related injuries are directly contributed to reactive maintenance work. While qualified a workforce with hands-on experience is hard to find in the digital age, it has also become increasingly difficult to retain a knowledge base due to high employee turnover. This session will dive into some of the use cases where technology can really complement facility maintenance personnel to get out from their reactive mode (AKA unplanned work routines) and systematically transition to proactive mode with the use of new tools and technology while justifying small investments and realizing incremental gains. This session will also explore some of the personnel, cultural, and behavioral challenges that come in the way of this transition and how to address them. Learning objectives: a. Relationship between work related injuries and reactive maintenance work b. Transitioning from reactive to proactive maintenance c. Importance of culture and behaviors in driving the change
  ×

  Bhanu Srilla

  Director of Product Marketing

  Grace Engineered Products, Inc,

  

  Bhanu Srilla is the Director of Technical Product Marketing at Grace Engineered Products, Inc. He led diverse programs in electrical power distribution and control system projects in IEC and ANSI applications for low and medium voltage systems. Bhanu is an IEEE member, and a member of Standards Technical Panel (STP) for UL 1436, UL 61010, UL 508, and 508A Standards. Bhanu is also a certified electrical safety compliance professional (CESCP) by NFPA, certified Project Management Professional (PMP), and holds advanced degrees in Electrical Engineering, Manufacturing Systems, and Technology Management.
• Anne-Marie Walters, Industry Marketing Director, process & Resources, Bentley Systems Incorporated
  Digitalizing Substation Upgrades – Saving Time and Money

  Digitalizing Substation Upgrades – Saving Time and Money

  ×

  Pacific Gas & Electric Company (PG&E) owns and operates more than 1,000 transmission and distribution substations, spanning two-thirds of California. With the push to modernize the electric grid, 95 percent of its USD 1 billion substation budget is spent on brownfield locations and PG&E had been manually converting existing 2D drawings to 3D models for use on retrofit projects. PG&E replaced this traditional design process with a combination of photographic techniques using unmanned aerial vehicles, man lifts, and on-ground photographic equipment. Using advanced digitalization software, the team generated highly accurate reality meshes that were integrated into intelligent 3D design models for the upgrades, and shared among design teams and stakeholders. The automatically generated reality meshes are accurate within inches and eliminate the need to take field measurements. As a result, personnel travel to and from the substation facilities half as often. With the adoption of this technology, PG&E reduced project design time by 40 percent and saved an estimated USD 5.7 million across about 120 substation projects each year.
  ×

  Anne-Marie Walters

  Industry Marketing Director, process & Resources

  Bentley Systems Incorporated

  

  Anne-Marie Walters joined Bentley in 2004 as a global marketing director. In this capacity she is responsible for the marketing and positioning of Bentley’s solutions and products that address the needs of the industrial sector including oil & gas, process & discrete manufacturing, and mining industries. Ms. Walters, who is a chartered chemical engineer, has represented Bentley on the board of the Construction Industry Institute and is also heavily engaged in the activities of FIATECH. She sat on the board of the Engineering Contractors and Constructors Association between 2005 and 2010 and was the Chair in 2009. In addition, she is a founding member of the Process Industries STEP Consortium (PISTEP) committee and has served on the boards of CIMsteel and the United Kingdom’s chapter of the International Alliance for Interoperability (IAI). She is frequently a guest speaker at industry events sponsored by these and other organizations.

Behind the digital tools that make the industrial internet of things (IIOT) in the power generation and chemical process industries are people. At this session, open to all attendees, the editors of POWER and Chemical Engineering will recognize the achievements of individuals and companies who are fast risers in the field, and through insight and experience, have championed “game changing” innovations, solved problems, or made extraordinary improvements.

MAINTENANCE DIGITALIZATION SIMULATION Enjoy a hot breakfast and take part in this interactive session that will provide a unique opportunity to utilize intrinsically safe tablets to navigate procedures as a skilled technician, discover real-time alerts that trigger craft handover workflow, and report a delay as an Inspector. Throughout this simulation, you will assume the role of Connected Manager™ and witness firsthand the real-time visibility for enhancing, streamlining, and expediting decision making by leveraging Mobideo’s Digital Wall Chart. Finally, you will examine analytics to drive process improvements for the next shutdown, turnaround, outage or maintenance event. JOIN US! This FREE Simulation is open to all end-user conference attendees! Wednesday, February 26, 2020 – 7:00-7:45am Thursday, February 27, 2020 – 7:00-7:45am

As the use of innovative digital technologies becomes more widespread in the power sector, emerging cases demonstrate how these solutions are yielding better and more profitable outcomes for associated plants. Echoing this theme, the first two presentations in this session examine how application of digital solutions relate to a fleet of plants that are more flexible, productive, and, at the same time, less costly to operate. In the last presentation, the focus shifts to the operator as a key driver to plant success. In this presentation, the presenter will convey experiences and lessons learned in upgrading operator human-machine interface (HMI) across a large fleet of plants.

• Jon Towslee, Sr. Director of iFactory Sales, IIoT, Advantech
  ×

  Jon Towslee

  Sr. Director of iFactory Sales, IIoT

  Advantech

  

  Jon Towslee is the Advanced Services Leader, Americas for ABB Inc. based in Cleveland, OH. Jon has 29+ years of energy industry experience. He has spent the last 19+ years leading, growing, and managing energy related businesses. Throughout his career, Jon has worked on both sides of the electrical industry from utility transmission, distribution, and generation on the supply side to commercial and industrial energy management, power distribution, and advanced energy analytics on the demand side. In his current capacity, Jon is responsible for leading ABB’s advanced services and digital sales for its Industrial Automation Energy Industries business unit. Jon joined ABB in 2016. Throughout his career, Jon has held numerous business development, management, and leadership positions. Prior to joining ABB, Jon was the Sr. Vice President, Industrial Segment for an energy analytics company, starting in 2011. He was also the Vice President, Strategic Accounts for a commercial energy management company which he joined in 2006. Prior to that, Jon was the Business Manager for an industrial / utility energy system integration business, which he joined in 1994 and held positions of increasing responsibility including: system engineer, project engineer, project manager, program manager, and business manager. Prior to that, Jon was the Engineering Manager and Supervisor of Electrical Engineering for an electrical equipment manufacturer, responsible for the design and application of metal-clad switchgear, capacitor banks, and harmonic filters. Jon earned his Bachelor of Science in Electrical Engineering from The University of Akron and his MBA from John Carroll University. He is a Registered Professional Engineer in the State of Ohio.
• Brian Rupper, Manager EI&C - Plant Services, Wheelabrator Technologies
  Leveraging Digital Solutions to Increase Operator Effectiveness & Plant Performance

  Leveraging Digital Solutions to Increase Operator Effectiveness & Plant Performance

  ×

  Operator effectiveness is fundamental to power plant performance. With daily decisions of control room personnel directly impacting safety, production, process availability and quality, it is important to keep the operator in focus. This session will cover an end user case study and best practices of Operator HMI upgrades across their large fleet. It will cover the integration approach to High Performance Graphics, the migration strategy, including benchmarking and Key Performance Indicators. The discussion will also include how a step-by-step migration approach made the process more manageable for the Operators as well as some possible future next steps.
  ×

  Brian Ruppert

  Manager EI&C - Plant Services

  Wheelabrator Technologies

  

  Brian Ruppert is an E&I manager specializing in automation and process control with 25 years’ experience in the power industry. In his current position with Wheelabrator technologies, Brian focuses on process improvement, system upgrades and systems integration. Wheelabrator Technologies is an industry leader in the safe and environmentally sound conversion of everyday residential and business waste – and other renewable waste fuels – into clean energy.
• Tom Cross, Account Manager Power and Water Automation, ABB
  Leveraging Digital Solutions to Increase Operator Effectiveness & Plant Performance

  Leveraging Digital Solutions to Increase Operator Effectiveness & Plant Performance

  ×

  Operator effectiveness is fundamental to power plant performance. With daily decisions of control room personnel directly impacting safety, production, process availability and quality, it is important to keep the operator in focus. This session will cover an end user case study and best practices of Operator HMI upgrades across their large fleet. It will cover the integration approach to High Performance Graphics, the migration strategy, including benchmarking and Key Performance Indicators. The discussion will also include how a step-by-step migration approach made the process more manageable for the Operators as well as some possible future next steps.
  ×

  Thomas Cross

  Account Manager Power and Water Automation

  ABB

  

  Tom Cross is the Southeast Account Manager for ABB. Tom retired after 22 years from the Tampa Electric Coal Gasification Plant in Polk County, Florida as the Controls technician for the plant. Tom served 4 years in the US Navy as a shipboard electrician, has an AS in Electronics Engineering technology from Broward Community College, and a BS from University of South Florida in IT with a security concentration.
• Steven Seachman, Principal Technical Leader, Electric Power Research Institute
  Role of Process Controls and Automation in Plant Digitization

  Role of Process Controls and Automation in Plant Digitization

  ×

  Flexible operations and asset management are becoming increasingly essential for the viability of conventional power generation in their mission of providing, safe, reliable, and environmentally responsible electricity to the public. Many units are cycling much more often than originally anticipated in the design of these plants. Additionally, the burden on operators during these transient and non-base load conditions has increased substantially. The industry’s transitioning workforce has also posed challenges in determining the right skillset for plant operations and maintenance. These issues can result in accelerated component failure rates and additional incremental fuel costs. Advances in monitoring and diagnostic capabilities continue to provide deeper insight to asset health. However, taking action using that insight is typically a manual operation. Furthermore, the control systems installed on these units have not been properly configured to account for flexible operations. Electric Power Research Institute’s (EPRI) Instrumentation, Controls, and Automation Program is conducting collaborative research to meet the industry need to demonstrate improved process control and automation techniques to reduce damage, improve thermal performance, and lessen the burden on operators during flexible operations. This presentation will highlight several of these activities within EPRI’s research portfolio.
  ×

  Steven Seachman

  Principal Technical Leader

  Electric Power Research Institute

  

  Steven Seachman is a Principal Technical Leader in the Instrumentation, Controls, and Automation Program (P68) at the Electric Power Research Institute (EPRI). P68 is part of the Emerging Technologies group within the Generation Sector at EPRI. His interests include Advanced and Adaptive Controls, Instrumentation, and Data Analytics. Steve graduated with a bachelor’s and master’s in Mechanical Engineering from West Virginia University. Following his education, he worked the Department of Energy’s National Energy Technology Laboratory in Morgantown, West Virginia. There, he performed research, managed projects, and eventually became the Technology Manager for the Crosscutting Research Division. Steve’s 12+ years of experience has led to several publications in the areas of instrumentation, controls, automation, and data analytics as well as numerous projects at industry conferences. Steve is also a Project Management Professional and a Lean Six Sigma Green Belt.
• Chetan Chauhan, General Manager Global Operations & Maintenance, GE Gas Power Systems
  Digital Worker and Remote Power Plant Operations for Safer and Cost Effective Plant O&M

  Digital Worker and Remote Power Plant Operations for Safer and Cost Effective Plant O&M

  ×

  Remote Operations is a suite of software and hardware solutions designed to enable power generation operators to further optimize and reduce the power plant staffing required to operate and monitor a power plant. This on-premises and off-premises solution will allow an operator to operate and monitor a power plant away from the control room: • Location somewhere in the plant (mobile fashion). Mobile solutions within the plant are provided to enable full plant control, electronically take plant logs and rounds, access CMMS, create Permit to Work , and Lock Out Tag Out – (Optional). • Location outside of the plant boundaries- fixed location. allows for the consolidation of operators across several peaking plants to a single, centralized location. The solution is applicable for Single cycle and combine cycle gas power plants As it is today, Fossil fueled power plant O&M cost is becoming too High. There is no Plant centralized operations capability in the market as well as not fully automated / autonomous Plant operation. The work force is changing very fast and Cyber Security and power plant vulnerability are in customer concern focus. Regional / Governments Regulations and Standards are very much diversified and not aligned. Insurability cost and Plant total installed cost stays high as well. With proven technology backed by extensive industry expertise GE provides remote plant operations as a solution with the highest security and reliability, and best value for worldwide power producers on plant and/or subsystems level to enable profitable power generation.
  ×

  Chetan Chauhan

  General Manager Global Operations & Maintenance

  GE Gas Power Systems

  

  Chetan is responsible for leading Global O&M Services, providing Operations and Maintenance services to power plant owners/customers worldwide. Chetan’s portfolio serves 48 power plants, operating 33.6 GW of generation in 20 countries. Prior to his present role, Chetan served as Region Operation Leader/ Director for GE Power Services for 5 years. Chetan lead the Sales and Services delivery providing power train maintenance to customers in the United States. Chetan also served as Plant Manager for 9 years, leading the Operation & Maintenance of 5 combined cycle power plants serving regulated utilizes, IPPs and merchant plants in the United States. Chetan began his career as a Plant Engineer and Project Manager, developing power plants in North America, Brazil and Asia covering a range of technologies from Gas, Steam, Hydro & Renewables.
• Martha Saker, Product Manager Edge and Remote Operations, GE Digital
  Digital Worker and Remote Power Plant Operations for Safer and Cost Effective Plant O&M

  Digital Worker and Remote Power Plant Operations for Safer and Cost Effective Plant O&M

  ×

  Remote Operations is a suite of software and hardware solutions designed to enable power generation operators to further optimize and reduce the power plant staffing required to operate and monitor a power plant. This on-premises and off-premises solution will allow an operator to operate and monitor a power plant away from the control room: • Location somewhere in the plant (mobile fashion). Mobile solutions within the plant are provided to enable full plant control, electronically take plant logs and rounds, access CMMS, create Permit to Work , and Lock Out Tag Out – (Optional). • Location outside of the plant boundaries- fixed location. allows for the consolidation of operators across several peaking plants to a single, centralized location. The solution is applicable for Single cycle and combine cycle gas power plants As it is today, Fossil fueled power plant O&M cost is becoming too High. There is no Plant centralized operations capability in the market as well as not fully automated / autonomous Plant operation. The work force is changing very fast and Cyber Security and power plant vulnerability are in customer concern focus. Regional / Governments Regulations and Standards are very much diversified and not aligned. Insurability cost and Plant total installed cost stays high as well. With proven technology backed by extensive industry expertise GE provides remote plant operations as a solution with the highest security and reliability, and best value for worldwide power producers on plant and/or subsystems level to enable profitable power generation.
  ×

  Martha Saker

  Product Manager Edge and Remote Operations

  GE Digital

  

  Martha is responsible for leading digital product management delivering customer outcomes of optimization, safety, quality, and O&M Cost in the Power Generation Edge and Remote Operations space. Prior to her present role, Martha led multiple product lines in different areas of the Energy chain, introducing products and services that optimize performance, operations and/or maintenance. Martha held several other roles over her 22 year tenure at GE, Her GE career began at GE Industrial’s Turbine Controls Business in Salem, VA, where she started as a Controls Engineer, programing Control Systems for Gas Turbine Applications. Within a 6 year timeline, she quickly moved through roles of increasing responsibility such as; Automation, Field Technical Support, New Product Development and DFSS Black Belt. In 2004 Martha was promoted to her first Product Management Role, managing multiple Energy related products since. Martha earned a bachelor’s degree in Chemical Engineering from Auburn University, is a Six Sigma Black Belt and Lean certified
• Joe Michienzi, Vice President, Asset Management, Competitive Power Ventures, Inc. [CPV]
  3 Essential Elements to Realizing Value: The Business of Digitization with Competitive Power Ventures

  3 Essential Elements to Realizing Value: The Business of Digitization with Competitive Power Ventures

  ×

  According to Gartner Group, in 2018 more than one third of utilities began to bring digital technologies into their organizations. As this change happens across the industry, utilities are not only introducing brand new digital technologies, but also implementing new solutions into their workflow to maximize the systems that have kept the lights on for their customers for centuries. Together, the speakers will address how new technology solutions are helping create better outcomes for utilities and their customers by reducing asset maintenance costs and increasing profitability with novel dispatch and production planning solutions for a fleet of power plants. They will provide specific examples as to how a combination of modular edge-to-cloud solutions, combined with domain expertise and Artificial Intelligence and Machine Learning, create additional value in daily operations with intelligent asset management strategies, reduce manual processes, increase operational flexibility and more accurately generate day-ahead forecasts. They will also share how the adoption of the new technologies has impacted output and performance.
  ×

  Joe Michienzi

  Vice President, Asset Management

  Competitive Power Ventures, Inc. [CPV]

  

  Joe joined CPV in 2006 and currently provides technical and overall Asset Management support throughout all of CPV. He focuses on high reliability and optimal thermal performance. Joe is currently serving as the Lead Asset Manager for the Middletown Energy Center. Prior to joining CPV, he worked for the independent engineering firm, R.W. Beck, Inc. (now known as Leidos) as an Operations and Performance Consultant and for PG&E NEG, where he held engineering positions at power plant sites and corporate offices. Joe has a B.S. in Mechanical Engineering from Worcester Polytechnic Institute.
• Rachel Farr, Principal Digital Product Manager, GE Power Digital
  3 Essential Elements to Realizing Value: The Business of Digitization with Competitive Power Ventures

  3 Essential Elements to Realizing Value: The Business of Digitization with Competitive Power Ventures

  ×

  According to Gartner Group, in 2018 more than one third of utilities began to bring digital technologies into their organizations. As this change happens across the industry, utilities are not only introducing brand new digital technologies, but also implementing new solutions into their workflow to maximize the systems that have kept the lights on for their customers for centuries. Together, the speakers will address how new technology solutions are helping create better outcomes for utilities and their customers by reducing asset maintenance costs and increasing profitability with novel dispatch and production planning solutions for a fleet of power plants. They will provide specific examples as to how a combination of modular edge-to-cloud solutions, combined with domain expertise and Artificial Intelligence and Machine Learning, create additional value in daily operations with intelligent asset management strategies, reduce manual processes, increase operational flexibility and more accurately generate day-ahead forecasts. They will also share how the adoption of the new technologies has impacted output and performance.
  ×

  Rachel Farr

  Principal Digital Product Manager

  GE Power Digital

  

  Rachel is a Principal Digital Product Manager for GE Digital, responsible for delivering software solutions that improve productivity and production planning for power generation. With over 17 years of experience in Digital, Power and Aviation, she brings extensive knowledge in gas turbine and plant technologies, product and technology strategy and has been recognized throughout her career for bringing people and teams together to innovate and deliver value. Rachel holds a B.S. and Masters in Materials Science and Engineering from the University of Pennsylvania and the Ohio State University, respectively.
• Dave Magill, Senior Vice President, Asset Management, Competitive Power Ventures, Inc. [CPV]
  3 Essential Elements to Realizing Value: The Business of Digitization with Competitive Power Ventures

  3 Essential Elements to Realizing Value: The Business of Digitization with Competitive Power Ventures

  ×

  According to Gartner Group, in 2018 more than one third of utilities began to bring digital technologies into their organizations. As this change happens across the industry, utilities are not only introducing brand new digital technologies, but also implementing new solutions into their workflow to maximize the systems that have kept the lights on for their customers for centuries. Together, the speakers will address how new technology solutions are helping create better outcomes for utilities and their customers by reducing asset maintenance costs and increasing profitability with novel dispatch and production planning solutions for a fleet of power plants. They will provide specific examples as to how a combination of modular edge-to-cloud solutions, combined with domain expertise and Artificial Intelligence and Machine Learning, create additional value in daily operations with intelligent asset management strategies, reduce manual processes, increase operational flexibility and more accurately generate day-ahead forecasts. They will also share how the adoption of the new technologies has impacted output and performance.
  ×

  David Magill

  Senior Vice President, Asset Management

  Competitive Power Ventures, Inc. [CPV]

  

  Dave Magill is a 40 plus year veteran of the oil, gas and power industries primarily in the US, with a background in finance and M&A. Dave has spent the last 14 years at Competitive Power Ventures leading CPV’s asset management group, which currently manages over 9000 MW of operating assets, mostly gas fired, for both CPV and third party owners. Dave recently transitioned to become Senior Advisor for CPV, advising and supporting CPV’s senior management in various strategic initiatives.

This technical presentation will shed light on how Nova Scotia Power has leveraged a common equipment hierarchy across multiple software platforms to create operational intelligence for their fleet of assets. Nova Scotia Power is currently in the middle of a pilot project that uses the Element Analytics PI Asset Framework Accelerator to construct a PI AF hierarchy that matches the master hierarchy in the MMS system and in GE APM. This PI AF framework is used to contextualize equipment assets with their associated tags and to construct asset templates for the major asset classes that can be cloned across the fleet.

• Mike Greene, Operational Technology Lead, Nova Scotia Power
  ×

  Mike Greene

  Operational Technology Lead

  Nova Scotia Power

  

  Mike has over 25 years of experience with Databases, Information Systems and Plant Automation. He is currently the Operational Technology Lead for the Enterprise Asset Management Office of Nova Scotia Power, the utility for the province of Nova Scotia. He is responsible for the successful integration of NSPs many Operational information systems into a platform that provides end users with a dynamic asset based Operational Risk across the NSP Thermal fleet.
• Jacqueline Grunwald, CIO, AdvanSix, Inc.
  End to end Digital Engagement/ From Value Estimation to Adoption to Value Realization

  End to end Digital Engagement/ From Value Estimation to Adoption to Value Realization

  ×

  "The debate over why companies need to embrace digitization is over. Despite this shift, the actual results and value derived from digital investments remain mixed. As we enter 2020, digital investments will continue to rise, so too will the expectations for value from shareholders, executives (CEO, CFO, CIO), employees, and yes, most importantly, customers. Current research indicates that the odds are against those companies embarking on digital transformation initiatives with several reports suggesting that over 2/3rds fail to meet expected results. In most cases, technology is not the culprit of these failures. These two forces are shifting leaders and decision makers to focus on tactical elements of execution. This presentation will take the audience inside a real on-going digitization initiative sharing and discussing the frameworks and best practices that are making this transformation successful including: • Identifying and estimating potential value: Top down and bottoms up approach • Outcome mapping - from corporate KPIs to operational milestones • Data mapping and creating a data collection strategy and visualization for operational and executive decision making • Change management plan and cross functional ownership (IT vs Business) • Culture & behavior change • Use cases that delivered quick wins and drove adoption (e.g. mobility) • How to effectively communicate with maintenance & reliability teams to drive adoption • Measuring, evaluating, and sustaining value
  ×

  Jacqueline Grunwald

  CIO

  AdvanSix, Inc.

  

  Jacqueline Grunwald is Vice President and CIO at AdvanSix, a leading, integrated Nylon 6 business with 60+ years of operating history. Jacqueline joined AdvanSix in 2016 and established a modernization strategy for the IT landscape. In the past two years, 95% of applications have been migrated or transformed to run on the public cloud. Jacqueline and her team continue to drive technology enablement of the business through the leverage of contemporary solutions and innovation. Prior to AdvanSix, Jacqueline spent 17 years at Honeywell, where she held positions of increasing responsibility in the Transportation Systems business and Corporate, including IT strategy and transformation, business partnership roles with Legal and Government Relations, Finance, Sales & Marketing, and Business Intelligence modernization. Before joining Honeywell, Jacqueline held several roles at Electronic Data Systems (EDS), including system design and development, configuration management, and data base administration. Jacqueline lives in Mantua, NJ with her husband, Tom, and their two children. She has a Masters Degree in Business Administration from Michigan State University in Lansing, Michigan, specializing in Supply Chain and Business Information Systems as well as a Bachelor of Science degree also from Michigan State University.
• Jared Hartness, Sr. Product Marketing Manager, GE Digital
  End to end Digital Engagement/ From Value Estimation to Adoption to Value Realization

  End to end Digital Engagement/ From Value Estimation to Adoption to Value Realization

  ×

  "The debate over why companies need to embrace digitization is over. Despite this shift, the actual results and value derived from digital investments remain mixed. As we enter 2020, digital investments will continue to rise, so too will the expectations for value from shareholders, executives (CEO, CFO, CIO), employees, and yes, most importantly, customers. Current research indicates that the odds are against those companies embarking on digital transformation initiatives with several reports suggesting that over 2/3rds fail to meet expected results. In most cases, technology is not the culprit of these failures. These two forces are shifting leaders and decision makers to focus on tactical elements of execution. This presentation will take the audience inside a real on-going digitization initiative sharing and discussing the frameworks and best practices that are making this transformation successful including: • Identifying and estimating potential value: Top down and bottoms up approach • Outcome mapping - from corporate KPIs to operational milestones • Data mapping and creating a data collection strategy and visualization for operational and executive decision making • Change management plan and cross functional ownership (IT vs Business) • Culture & behavior change • Use cases that delivered quick wins and drove adoption (e.g. mobility) • How to effectively communicate with maintenance & reliability teams to drive adoption • Measuring, evaluating, and sustaining value
  ×

  Jared Hartness

  Sr. Product Marketing Manager

  GE Digital

  

  Jared Hartness is a Sr. Product Marketing Manager with GE Digital, working with GE’s Asset Performance Management suite of solutions. Jared also serves as the industry lead for GE Digital’s oil & gas market segment. Prior to joining GE Digital, Hartness began his career with Meridium serving in a number of different capacities ranging from product marketing, marketing programs and digital marketing for their Asset Performance Management software solutions. He earned a Bachelor of Science Degree in Communication and Media Studies from Radford University.
• Michael Magerstädt, Manager, Global Industry Division Chemical, KROHNE AG
  Chemical Plant Instrumentation IOT and Industry 4.0 – the last 12 months and the future

  Chemical Plant Instrumentation IOT and Industry 4.0 – the last 12 months and the future

  ×

  Last year, we reported on developments on digitalization of chemical plant automatization and particularly on process instrumentation. Core automatization of chemical processes has assured a very high level of safety as well as ever-improving efficiency in this industry over decades. Feedback loops that are designed to maintain chemical reactions within the safe and most efficient range consist of a process control system (PCS), instrumentation to monitor process conditions, and actuators to control the process according to the PCS’s instructions. The advent of large data processing capabilities allows acquisition and utilization of large amounts of data that can make chemical plants self-reliant. These data have neither been acquired nor utilized in the past. In addition, over the last years, almost an entire generation of technicians and engineers is retiring. Up to two decades of reducing headcount in chemical plants combined with a worldwide focus of education systems away from science over a large part of this time led to a generation gap. Since the renewed interest of young people in science and technology has yielded graduates, highly qualified young technicians and engineers began entering the industry. Still, a generation gap exists that needs to be filled. Hence, the driving force to combine the data processing capabilities of today and the data available from chemical plant instrumentation to „industry 4.0“ is the need to make chemical plants more self-sufficient. Intelligent systems are required that assess large sensor data volumes and that derive information by sophisticated pattern recognition algorithms. These systems are able to emulate the knowledge about a process which the human brain can acquire by subconscious connection of seemingly unconnected sensory input once a certain level of experience has been reached. In last year’s conference paper, we showed how chemical operators and instrumentation manufacturers are approaching the challenges of industry 4.0 and are utilizing the possibilities that an internet of things can provide. Examples for additional data transmission channels, wireless data transmission, and the modular plant concept MTP (Module Type Package) were presented. In this presentation, progress that both the global chemical players as well as the process instrumentation industry have made over the last twelve months, will be reviewed. A specific look will be taken on the actual need as well as the requirements for so-called M&O data, i.e., sensor data that are not part of the data acquired for the core instrumentation of a plant, but that are providing additional data for monitoring and optimization. M & O information can be gathered by installing additional sensors that are transmitting information relevant to maintenance. A very simple example would be measurement of environmental temperature or humidity that may have a long-term influence on the lifetime of chemical plant components. More efficient and economical than adding new sensors is the utilization of data that process instrumentation can provide beyond the data the instrument generates by fulfilling its original purpose. This presentation will describe the options to do this from an instrument manufacturer’s perspective.
  ×

  Michael Magerstädt

  Manager, Global Industry Division Chemical

  KROHNE AG

  

  Michael Magerstädt received his Ph.D. degree in Chemistry from Berlin Technical University. Later, he completed a postgraduate study in business administration, focus marketing. Michael holds the position of Manager, Global Industry Division Chemical at KROHNE Group, a leading global supplier of innovative products, solutions, and services for the process industry with close to 4000 employees and manufacturing plants on 4 continents. He also is the CEO of the KROHNE subsidiary KROHNE AG located in Switzerland. After graduating, Michael spent 4 years conducting research in the United States; first at the University of Georgia, Athens, GA and later at the National Cancer Institute, NIH, Bethesda, MD. Then, he spent 13 years at Hoechst AG (later on Hoechst-Celanese, Frankfurt, Germany), formerly one of the three largest German chemical and pharmaceutical companies. After his time at Hoechst, he spent 19 years as CTO and CEO of privately owned manufacturing and technology companies in in Germany and Switzerland before joining KROHNE, the most recent of which was ROSEN, world leader in pipeline inspection and a major player in Asset Integrity Management. Michael is author of one scientific book as well as numerous publications and patents. He was and is active in building and developing technology startup companies. Michael Magerstädt is member of a number of professional organizations, including Gesellschaft Deutscher Chemiker, American Chemical Society, VDI (German Engineering Association), SME (Society of Mining Engineers), AWWA (American Water Works Association), and NACE International (National Association of Corrosion Engineers), where he co-chairs a Technology Exchange Group on “Corrosion in Mining/Slurry Pipelines”. Michael is married, and has two adult children; one son and one daughter. His non-professional interests besides his family include flying single-engine aircraft, skiing, and his international network of friends.
• David Tiffany, Engineer, Tennesse Valley Authority
  Large Scale Deployment TVA Case Study

  Large Scale Deployment TVA Case Study

  ×

  The amount of data produced by power plants is continuing to grow. Large scale deployments of dashboards, automatic pattern recognition models, and rule bases are very labor intensive to set up. They also require a priori knowledge of issues you’d like to focus on, and are thus necessarily narrowly scoped. Troubleshooting and reacting to emergent issues requires more flexible calculations and visualizations to support ad hoc analysis. Currently this type of activity is often carried out manually through spreadsheets. This is time consuming, and thus wastes valuable subject matter expert resources and increases the time needed to make data driven decisions. This presentation discusses our early experience with transitioning these activities to an advanced analytics application, Seeq™. In it we demonstrate the ability to develop, scale and interact with analytics built in the tool. We will present a case study for gas turbine thermal performance monitoring and prediction. We will also demonstrate the tool on troubleshooting a voltage anomaly.
  ×

  David Tiffany

  Engineer

  Tennesse Valley Authority

  

  David received his Bachelor and Master of Science Degrees in Mechanical Engineering from the University of Florida, concentrating in thermal sciences and fluid dynamics. He did his graduate research in the Energy and Gas Dynamics Systems Laboratory; focusing on novel gas turbine based cycles. Following grad school he worked in the Power Diagnostics Center® (PDC) at Siemens Energy. Initially working as an operations engineer; remotely monitoring utility scale simple and combined cycle power plants. He then transitioned into an R&D position focusing on various projects to improve the monitoring capability of the PDC. For the past year he has worked at the Tennessee Valley Authority in to the Performance Monitoring and Diagnostic group; focusing on the natural gas fleet. His areas of interest include gas turbine thermal performance, data analysis and machine learning.
• John Cox, Principal Analytics Engineer, Seeq Corporation
  Large Scale Deployment TVA Case Study

  Large Scale Deployment TVA Case Study

  ×

  The amount of data produced by power plants is continuing to grow. Large scale deployments of dashboards, automatic pattern recognition models, and rule bases are very labor intensive to set up. They also require a priori knowledge of issues you’d like to focus on, and are thus necessarily narrowly scoped. Troubleshooting and reacting to emergent issues requires more flexible calculations and visualizations to support ad hoc analysis. Currently this type of activity is often carried out manually through spreadsheets. This is time consuming, and thus wastes valuable subject matter expert resources and increases the time needed to make data driven decisions. This presentation discusses our early experience with transitioning these activities to an advanced analytics application, Seeq™. In it we demonstrate the ability to develop, scale and interact with analytics built in the tool. We will present a case study for gas turbine thermal performance monitoring and prediction. We will also demonstrate the tool on troubleshooting a voltage anomaly.
  ×

  John Cox

  Principal Analytics Engineer

  Seeq Corporation

  

  John began his career as a process control engineer for Eastman Chemical, where he implemented control strategy improvements, advanced control applications, and controller performance monitoring to automate and enhance process operation. Following 25+ years at Eastman, John joined Seeq Corporation in 2018. In his role as an Analytics Engineer for Seeq, John loves to help customers succeed through his passion for combining software and data analysis to reveal operational insights. He holds a B.S. in Chemical Engineering from Tennessee Technological University and a M.S. in Chemical Engineering from the University of Tennessee.

Industrial companies are sitting on a tremendous amount of data - a treasure that grows every single day. With the advent of AI (Artificial Intelligence) and ML (Machine Learning) technology mining this data for value is quickly becoming reality. This session will focus on providing an understanding of some of the building blocks needed to deploy AI and ML, as well as provide a few examples and learning journeys for specific applications of AI and ML for predictions, creating insights and taking further steps towards automation (predictive maintenance, corrosion detection and plant operation, to name a few).

• Mr. Pete Davies, VP of Digital Engineering Solutions, Uniper Enerlytics
  ×

  Pete Davies

  VP of Digital Engineering Solutions

  Uniper Enerlytics

  

  Pete is a Dad, husband; proud dyslexic; and digital engineer. Working on tomorrows energy problems today, by combining engineering and digital technologies to create complete solutions to help the world in our energy transition to a lower carbon future. Pete has worked in the energy sector for 11+ years on the boundary between IT and engineering or trading delivering solutions for the opportunities and problems that arise in this space. Prior to the energy sector Pete worked in pharmaceuticals supporting the R&D and recipe aspects. Pete is the founder of Enerlytics by Uniper, a digital platform which combines Uniper’s engineering expertise based on a pedigree of 100 years; owning and running 34GW of power plant with a drive for OEM independence
• Dr. Yves Gorat Stommel, Head of Cognitive Solutions, Evonik Corporation
  ×

  Yves Gorat Stommel

  Head of Cognitive Solutions

  Evonik Corporation

  

  Yves Gorat Stommel is currently working as the head of the Cognitive Solutions team, with a strong focus on setting-up and implementing a comprehensive, company-wide Artificial Intelligence and data analysis strategy. In his current function, Yves’ motivation stems from bringing together people, technology and positive change. By continuously questioning, improving and re-imagining operational and business processes – amongst others by looking at the company through the new “lens” of enabling and disruptive Artificial Intelligence – value is created for both the company and its employees. This does not only require identifying, benchmarking and implementing best practices, but more importantly targeted communication, linking knowledge and an emphasis on global instead of local mindsets and approaches.
• Misbah Syed, Data Scientist, Evonik Corporation
  Leveraging Explainable Machine Learning to Drive Plant Optimization

  Leveraging Explainable Machine Learning to Drive Plant Optimization

  ×

  Power and chemical plants produce and store significant amounts of data. Yet, the machine learning (ML) and artificial intelligence (AI) techniques that have revolutionized the technology sector have not been widely adopted amongst operations improvement groups. A major shortcoming of the popular ML methodologies in use today is their black-box nature. Google may identify a specific image with high precision, but neither the developers nor the consumers know why the algorithms think those pixels define the target image. As long as most predictions are accurate, they are happy. At a plant setting having mostly reliable prediction is not enough; a single false negative can lead to the costly shutdown of critical operations. Plant engineers need to go beyond accurate predictions and understand the whys and hows and corroborate these insights with their subject matter expertise before they can actually trust the software. Lack of explainability of popular ML techniques is why engineers still rely on methods such as Six Sigma. Yet Six Sigma doesn’t scale with data and engineers can conduct only so many single shot design of experiments. Fero, with its Explainable ML technology based on Bayesian machine learning, addresses this problem. Explainable ML continuously learns from the entire plant’s data. The models reveal root-causes of production problems, map input/output relationships for emission reduction, and enable what-if simulations for planning optimal asset performance. By explaining the reasons behind the predictions, Explainable ML builds trust with the user. The easy-to-use software comes with automatic data cleaning and ML modeling features. As a result, engineers without data science training can easily conduct advanced data analytics projects. By simplifying ML modeling and making models transparent, Fero builds trust between ML technology and human users and makes these powerful new techniques accessible to subject matter experts of the plant. Publicly available information: Uniper Energy: https://www.littlegatepublishing.com/2019/05/endeavour-magazine-june-2019/ (page 48-49) AkzoNobel: https://www.chemicalprocessing.com/articles/2018/imagine-chemistry-challenge-awards-support-to-startups/ Session Takeaways: - Truly explainable machine learning techniques do exist and pave the way for a wide range of applications not possible with black-box methods - Democratizing ML and empowering subject matter experts with powerful, modern ML tools is the only scalable approach - Using ML purely for predictions is a loss of opportunity; these new techniques can be used for various process and quality improvement projects
  ×

  Misbah Syed

  Data Scientist

  Evonik Corporation

  

  Misbah has worked on applications of Advanced Process Controls and Machine Learning based predictive models in the chemical manufacturing industry. With background in Chemical Engineering, he augments theoretical process engineering with modern data driven approaches to optimize production processes.
• Dr. Berk Birand, CEO, Fero Labs
  Leveraging Explainable Machine Learning to Drive Plant Optimization

  Leveraging Explainable Machine Learning to Drive Plant Optimization

  ×

  Power and chemical plants produce and store significant amounts of data. Yet, the machine learning (ML) and artificial intelligence (AI) techniques that have revolutionized the technology sector have not been widely adopted amongst operations improvement groups. A major shortcoming of the popular ML methodologies in use today is their black-box nature. Google may identify a specific image with high precision, but neither the developers nor the consumers know why the algorithms think those pixels define the target image. As long as most predictions are accurate, they are happy. At a plant setting having mostly reliable prediction is not enough; a single false negative can lead to the costly shutdown of critical operations. Plant engineers need to go beyond accurate predictions and understand the whys and hows and corroborate these insights with their subject matter expertise before they can actually trust the software. Lack of explainability of popular ML techniques is why engineers still rely on methods such as Six Sigma. Yet Six Sigma doesn’t scale with data and engineers can conduct only so many single shot design of experiments. Fero, with its Explainable ML technology based on Bayesian machine learning, addresses this problem. Explainable ML continuously learns from the entire plant’s data. The models reveal root-causes of production problems, map input/output relationships for emission reduction, and enable what-if simulations for planning optimal asset performance. By explaining the reasons behind the predictions, Explainable ML builds trust with the user. The easy-to-use software comes with automatic data cleaning and ML modeling features. As a result, engineers without data science training can easily conduct advanced data analytics projects. By simplifying ML modeling and making models transparent, Fero builds trust between ML technology and human users and makes these powerful new techniques accessible to subject matter experts of the plant. Publicly available information: Uniper Energy: https://www.littlegatepublishing.com/2019/05/endeavour-magazine-june-2019/ (page 48-49) AkzoNobel: https://www.chemicalprocessing.com/articles/2018/imagine-chemistry-challenge-awards-support-to-startups/ Session Takeaways: - Truly explainable machine learning techniques do exist and pave the way for a wide range of applications not possible with black-box methods - Democratizing ML and empowering subject matter experts with powerful, modern ML tools is the only scalable approach - Using ML purely for predictions is a loss of opportunity; these new techniques can be used for various process and quality improvement projects
  ×

  Berk Birand

  CEO

  Fero Labs

  

  Berk holds a Ph.D. in electrical engineering and computer science from Columbia University. His academic research focused on optimizing wireless and optical networks with efficient cross-layer algorithms. He developed scheduling algorithms for LTE-A and fiber-optic networks. He holds a patent in IoT systems for resilient fiber-optic networks.
• Ben Berwick, Strategic Marketing Specialist, Honeywell Connected Plant
  The Importance of Good Data Science in Effective Asset Performance Monitoring

  The Importance of Good Data Science in Effective Asset Performance Monitoring

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  The rapid pace of predictive analytics, artificial intelligence and digital twins for industrial assets is proving revolutionary in how industry can benefit from the actionable information provided by modern asset performance management (APM) software. A key element of deriving value from APM solutions is the ability to detect asset issues early, yet to do so effectively, APM systems must be underpinned by expert knowledge and good data science. In this presentation, Honeywell provides an inside view of the data science that underpins the analytics of Honeywell Forge Asset Performance Management solution. Honeywell will provide several examples of how their experts and data scientists successfully identify the early onset of asset and process issues in Chemicals, O&G, Aerospace, and structural integrity applications.
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  Ben Berwick

  Strategic Marketing Specialist

  Honeywell Connected Plant

  

  Ben Berwick is a Strategic Marketing Specialist for Honeywell’s Asset Performance Management solutions. He joined Honeywell in 2018 with over 20 years of experience in various roles, including electronic and software design engineering, new product development management, and operations leadership for GE/Bently Nevada, Rolls-Royce and Dresser-Rand. Throughout his career, Ben’s work has focused entirely on creating machinery diagnostics and intelligent asset solutions that improve the reliability and productivity of industrial machinery. Ben possesses a B.Sc. Electrical Engineering from Texas A&M University and an MBA from the Jones School of Business at Rice University.
• Javier Martinez Sanchez, O&M Supervision Director, Mitsui & Co. (U.S.A.)
  Why Breakthroughs in Scaled Asset-Centric Modeling Are Critical for the Connected Plant

  Why Breakthroughs in Scaled Asset-Centric Modeling Are Critical for the Connected Plant

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  Plant-wide predictive maintenance programs are only as good as the accuracy and deployability of their predictive models, but traditionally, these models have required significant overhead to develop and maintain. This has resulted in disparate systems and processes that are deployed only on select assets, maybe delivering below-average results, and may have resulted in other business trade-offs. However, with recent advancements in both science and automation, machine learning models offer a clear path to improved accuracy, standardization, and scale based on asset-centric modeling. This session will explore the techniques and fundamentals for building asset-centric machine learning models quickly without sacrificing accuracy and will discuss best practices around successful deployments at plant-wide scale. These concepts will then be mapped to a customer project at Mitsui, where they have moved AI out of the lab and have deployed it at scale across their thermal power plant. After this session, operations executives, managers, and leads will: 1) Understand the differences and performance trade-offs between generalized and asset-centric models and link it to their business problem 2) Be able to identify the requirements, technology, and process for developing and deploying these asset-centric models 3) Have learned best practices from a live, scaled deployment in a complex production environment
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  Javier Martinez Sanchez

  O&M Supervision Director

  Mitsui & Co. (U.S.A.)

  

  After more than 5 years leading O&M in Power Plants, Javier joined Mitsui Power Americas (MPA) in December 2011. MPA is a 100% subsidiary company of Mitsui & Co., Ltd., one of the most diversified and comprehensive trading, investment and service enterprises in the world, with 138 offices in 66 countries as of October, 2018. MPA is leader in providing O&M services to power generation assets, including digital services to optimize key plant indicators of these plants. Javier main responsibility is to lead the Monitoring Area of MPA with more than 3 GW of installed capacity in Mexico. In addition, he is collaborating with Mitsui HQ in the Digital Transformation of the company through several pilot projects including Cloud computing, Big data, System integration and Machine Learning technologies. Javier holds an MBA in Digital Business from the University Rey Juan Carlos of Madrid, and a Master Degree in Energy Engineering from University of Seville in Spain.
• Slavek Zaremba, Chief Technology Officer of Predictive Maintenance, SparkCognition
  Why Breakthroughs in Scaled Asset-Centric Modeling Are Critical for the Connected Plant

  Why Breakthroughs in Scaled Asset-Centric Modeling Are Critical for the Connected Plant

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  Plant-wide predictive maintenance programs are only as good as the accuracy and deployability of their predictive models, but traditionally, these models have required significant overhead to develop and maintain. This has resulted in disparate systems and processes that are deployed only on select assets, maybe delivering below-average results, and may have resulted in other business trade-offs. However, with recent advancements in both science and automation, machine learning models offer a clear path to improved accuracy, standardization, and scale based on asset-centric modeling. This session will explore the techniques and fundamentals for building asset-centric machine learning models quickly without sacrificing accuracy and will discuss best practices around successful deployments at plant-wide scale. These concepts will then be mapped to a customer project at Mitsui, where they have moved AI out of the lab and have deployed it at scale across their thermal power plant. After this session, operations executives, managers, and leads will: 1) Understand the differences and performance trade-offs between generalized and asset-centric models and link it to their business problem 2) Be able to identify the requirements, technology, and process for developing and deploying these asset-centric models 3) Have learned best practices from a live, scaled deployment in a complex production environment
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  Slavek Zaremba

  Chief Technology Officer of Predictive Maintenance

  SparkCognition

  

  Slavek is the CTO for Predictive Maintenance solutions at SparkCognition where he is leveraging his 20+ years of experience in the area of power generation and utilities. Before joining SparkCognition he worked for 8 years at FPL and NextEra Energy Resources, where he was responsible for driving new technology and daily operations of NextEra’s remote monitoring and operations teams spanning all of the company's generation equipment (including combined-cycle, fossil, hydro, nuclear, wind, solar, and battery storage, over 120 sites, 40GW). Before that he worked for 12 years at GE Energy with the focus on predictive analytics, remote monitoring & diagnostics, and implementation of AI technologies to power generation and smart grid operations.

Digitalization’s potential is vast. As uptake of the multitude of connected industrial devices becomes more widespread, efforts are ongoing to explore how they can better monitor, collect, exchange, analyze, and deliver valuable new insights to drive smarter, faster business decisions for industrial companies. Technologies like fourth-generation sensors, Big Data, edge intelligence, augmented and virtual reality, artificial intelligence, and blockchain promise to open up a vast realm of intelligence for new applications. However, their complexity must be understood within the context of current limitations. This session will delve into why and how some technologies on the horizon are worth considering from a value perspective

• Sydni Credle, Ph.D., Technology Manager, Sensors & Controls, U.S.Department of Energy/NETL
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  Sydni Credle, Ph.D.

  Technology Manager, Sensors & Controls

  U.S.Department of Energy/NETL

  
• Mr Chris Welch, Enterprise Improvement, Tennessee Valley Authority (TVA)
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  Chris Welch

  Enterprise Improvement

  Tennessee Valley Authority (TVA)

  

  I’ve been involved in some fantastic projects over the years. They tend to be bleeding edge technologies, which is a blast! Wired networks, wireless networks, servers, and everything in between are my modus operandi. My goals in life include solving problems with new technologies, and using technology to make a difference in the lives of those around me. Specialties: My specialties include engineering solutions, and translating between those who speak technology and those who need it. I love to build strong/passionate teams that can reach the moon and beyond. Come to us with your problems, and we will solve them. Recent Projects: Industrial sensors (IIoT), non-ip based wireless communications, machine learning, AI, robotics, hybrid manufacturing, and changing the world bits at a time. Putting the techy stuff aside for a bit, my other passion is developing leadership and making connections between amazing people. Taking advantage of my experiences from a broad range of fields, I have been able to leverage my time around some very different thinkers. I like to share those thinking styles to others over discussions and sessions while we develop ideas and solutions. I cannot think of anything that is more fun than that at work.
• Hannah Davis, Blockchain Project Lead, EPRI Electric Power Research Institute
  The Growth of Blockchain

  The Growth of Blockchain

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  Hannah Davis

  Blockchain Project Lead

  EPRI Electric Power Research Institute

  

  Hannah Davis is the project lead for the Utility Blockchain Interest Group (UBIG) at the Electric Power Research Institute (EPRI). UBIG is a utility focused interest group that uses a collaborative approach to accelerate industry learning and applications by sharing use cases and lessons learned and developing best practices. EPRI is an independent, non-profit organization that conducts research, development, and demonstration projects for the benefit of the public in the United States and internationally. EPRI is focused on electricity generation, delivery and use in collaboration with the electricity sector, its stakeholders and others to enhance the quality of life by making electric power safe, reliable, affordable, and environmentally responsible. Hannah holds a Master of Public Policy degree from Georgetown University and bachelor’s degree from Franklin and Marshall College in Environmental Studies.
• Kim Gilbert Ph.D., Director of Technical Commercial Engineering, Beyond Limits
  Increase Efficiency in Power Generation with Artificial Intelligence That Encodes Human Knowledge, Expertise, and Experience

  Increase Efficiency in Power Generation with Artificial Intelligence That Encodes Human Knowledge, Expertise, and Experience

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  Operators are fundamental to a power plant achieving optimal performance day in and day out. This talk will highlight how explainable Cognitive AI can increase performance by keeping your plant functioning as if it’s being run by your leading operator 24/7, while also filling the knowledge gap left when your best plant operators and experts retire. Session attendees will learn how Cognitive AI is able to capture essential human knowledge, expertise and decision-making, then combine this with data to deliver actionable, explainable intelligence. Join this talk to find out why Cognitive AI is critical for increasing efficiency and reliability in power generation.
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  Kimberly Gilbert

  Director of Technical Commercial Engineering

  Beyond Limits

  

  Kim Gilbert, PhD is Director of Technical Sales Engineering at Beyond Limits, a pioneering AI company creating advanced software solutions for the world’s most demanding industries. Kim leads a team of Sales Engineers to develop prototypes of cognitive solutions that solve industry challenges. Prior to Beyond Limits, Kim served as Director of R&D at ALOVIAM, a renewable energy startup. In 2015, Kim received her PhD in High Pressure Geochemistry from the University of Texas at Austin. Kim’s graduate research included creating a novel method to predict carbon dioxide solubility in aqueous solutions, which provided insight into the molecular interactions between carbon dioxide and dissolved ions in deep subsurface conditions. In 2016, her work was published by the peer-reviewed Journal, Applied Geochemistry. For over five years preceding graduate school, Kim worked at National Instruments - initially as an Applications Engineer, and ultimately as a Product Strategist guiding the development of a control hardware platform. Kim earned a PhD in High Pressure Geochemistry in 2015 from the University of Texas at Austin, and graduated Summa Cum Laude with a BSc degree in Chemical Engineering in 2000 from Arizona State University. In addition, Kim taught graduate-level Aqueous Geochemistry and undergraduate Research Methods courses at the University of Texas at Austin.
• Brian D. Wolf, Lead Performance & Optimization Consultannt, Black & Veatch
  Next Generation Operations using Smart Data Analytics

  Next Generation Operations using Smart Data Analytics

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  Lessons learned across industries show that a combination of a focused remote Monitoring & Diagnostics (M&D) team and advanced data analytics enhances facility operations and maintenance activities. A successful M&D solution combines the right mix of people, processes, and tools to get the right information to the right people at the right time. The proven formula combines a mix of subject domain expertise and tech savvy resources together with a well-defined processes to properly vet issues before they are escalated to the plant to minimize false alerts and help the plant staff focus on high value tasks. Mature M&D solutions foster collaboration between the M&D Center and plant staff, which can take the data analytics effectiveness to the next level. Through several examples we demonstrate how the collaborative effort between a remote monitoring center and a fleet of facilities identified emerging issues early before problems developed resulting in significant avoided cost. Further, the successful outcomes have spurred plant staff to think of innovative ways to further leverage data analytics solution to drive value.
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  Brian Wolf

  Lead Performance & Optimization Consultannt

  Black & Veatch

  
• Gary Frost, Digital Transformation Leader, Georgia-Pacific
  Next Generation Operations using Smart Data Analytics

  Next Generation Operations using Smart Data Analytics

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  Lessons learned across industries show that a combination of a focused remote Monitoring & Diagnostics (M&D) team and advanced data analytics enhances facility operations and maintenance activities. A successful M&D solution combines the right mix of people, processes, and tools to get the right information to the right people at the right time. The proven formula combines a mix of subject domain expertise and tech savvy resources together with a well-defined processes to properly vet issues before they are escalated to the plant to minimize false alerts and help the plant staff focus on high value tasks. Mature M&D solutions foster collaboration between the M&D Center and plant staff, which can take the data analytics effectiveness to the next level. Through several examples we demonstrate how the collaborative effort between a remote monitoring center and a fleet of facilities identified emerging issues early before problems developed resulting in significant avoided cost. Further, the successful outcomes have spurred plant staff to think of innovative ways to further leverage data analytics solution to drive value.
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  Gary Frost

  Digital Transformation Leader

  Georgia-Pacific