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MainTrain 2021 Power Panel

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Original date: 
Tuesday, September 28, 2021

The “Power Panel” is comprised of reliability and asset management professionals in the electricity industry and will speak to their experiences within the industry that can be applied to outside of an electricity utility. They will cover a roadmap to ISO55001:2014 certification, asset maintenance strategies and mitigation of risks for capital assets.  

Daniel Gent, Director of Analytics, Canadian Electricity Association
Dan leads CEA’s Reliability Programs, the only national industry program that leverages reliability data analytics on behalf of member and participating utilities. Dan is a Certified Business Analyst Professional with Certification in Business Data Analytics with over 10 years of experience in the electricity sector working in reliability and asset management, and over 15 years in the telecom industry working in business intelligence support. Rounding out his work at CEA, he also oversees several other committees from Technology to Data Strategy and Finance, Tax and Accounting.

Erin MacNeil, P.Eng, Asset Management Operations Manager, Nova Scotia Power
Erin MacNeil is a Mechanical Engineer with experience in both the Utility and Alberta Oilsands industries.  As the Asset Management Operations Manager for Nova Scotia Power, Erin leads a team which designs and administers processes, programs and technologies which enable, sustain and optimize asset-centric maintenance strategies, and advance initiatives with respect to operations and maintenance excellence.  Erin has worked with NS Power's Asset Management Office for 8 years, and is a Professional Engineer (Mechanical) as well as having attained IAM Certification.  Nova Scotia Power’s AM team has been the recipient of a number of awards including a 2019 Game Changer Award (Connected Plant Conference), and a 2018 GE Digital Innovator Award.  

Kyle Smith, Supervisor, Maintenance and Reliability, Hydro Ottawa
Kyle Smith, P. Eng. oversees a team of engineers dedicated to keeping Hydro Ottawa’s distribution system assets functioning, reliable, and cost effective for customers. He leads the development and operation of routine maintenance and inspection programs, as well as processes and initiatives to improve system reliability. Prior to joining Hydro Ottawa in 2019, he gained experience in various technical roles with Nova Scotia Power, Inc. and held leadership positions with both the Canadian Electricity Association and Engineers Canada. Kyle holds degrees in Mechanical Engineering and Engineering Mathematics from Dalhousie University.

Ehsan Abbasi, Ph.D., P.Eng, SMIEEE, Senior Reliability Engineer, Lifecycle Maintenance Engineering, AltaLink
Ehsan has been with AltaLink as Senior Reliability Engineer – Lifecycle Maintenance Engineering since 2015. He has been active in electrical power industry and academia for more than 12 years with experience on reliability assessment of power transmission and distribution networks, power assets lifecycle, reliability centered maintenance, risk based asset management, condition monitoring along with power system SCADA and IED management solutions. Ehsan received B.Sc. from Amirkabir University of Technology and M.Sc. in Energy Systems Engineering from Sharif University of Technology, Tehran, Iran in 2005 and 2007 respectively. He received M.Sc. and Ph.D. in Electrical and Computer from University of Calgary, AB, Canada in 2010 and 2018 respectively. He joined IEEE in 2009 and is currently a Senior Member. He has been a committee member of CEA Transmission Consultative Committee on Outage Statistics (T-CCOS) since 2015.

BoK Content Source: 
MainTrain 2021
BoK Content Type: 
Asset Management Framework Subject: 
00 Asset Management - General, 03 Lifecycle Delivery, 3.05 Maintenance Delivery, 3.06 Reliability Engineering
Maintenance Management Framework Subject: 
00 Maintenance Management - General, 02 Maintenance Program Mgmt, 2.1 Maintenance Requirements, 5.0 Maintenance and Reliability Eng General, 5.1 Stats Analysis / Analytical Methods, 5.2 Reliability Modelling, 5.3 Failure Analysis