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Motors are the quiet workhorses of industry. They drive pumps, fans, compressors, and heaters, and they consume more than sixty percent of the power in most industrial operations. When operators need to control motor speed, they historically relied on mechanical adjustments or trial-and-error testing to keep processes stable and safe.
As motors get larger and drive trains more complex, traditional testing approaches no longer work. Bringing every component together for a full string test adds months of delay and millions of dollars in logistics. The industry is conservative and reference driven, which makes it hard for operators to trust new configurations without seeing them proven first.
This is where simulations shine.
In this episode, I speak with Anand Jha, Vice President of Global Sales for ABB System Drive β Process Industries, about simulation twins that let operators model the entire system before it's built. These "virtual plants" replicate the grid, the drives, the motors, and the compressor.
With software-in-loop and hardware-in-loop tools, operators can validate performance, tune configurations, and eliminate expensive string tests. The result is faster execution, lower cost, deeper system insight, better training, and continuous improvement across the plant lifecycle.
π€ About the GuestAnand Jha is the Vice President of Global Sales for ABB System Drive β Process Industries. With over 20 years of experience in the Oil & Gas and other Process industries, Anand has held various roles from commissioning engineer to sales leader. He is also an accomplished author, having written two books. Anand holds an MBA from the University of Alberta in Canada and a B.Tech in Electronics and Instrumentation.
π ABB Drives | ABB π Anand Jha on LinkedIn π§ [email protected] π§° Additional Tools and ResourcesI speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs: https://geoffreycann.com/contact/
β οΈ DisclaimerThe views expressed in this podcast are my own and do not constitute professional advice.
By Geoffrey Cann5
1919 ratings
Motors are the quiet workhorses of industry. They drive pumps, fans, compressors, and heaters, and they consume more than sixty percent of the power in most industrial operations. When operators need to control motor speed, they historically relied on mechanical adjustments or trial-and-error testing to keep processes stable and safe.
As motors get larger and drive trains more complex, traditional testing approaches no longer work. Bringing every component together for a full string test adds months of delay and millions of dollars in logistics. The industry is conservative and reference driven, which makes it hard for operators to trust new configurations without seeing them proven first.
This is where simulations shine.
In this episode, I speak with Anand Jha, Vice President of Global Sales for ABB System Drive β Process Industries, about simulation twins that let operators model the entire system before it's built. These "virtual plants" replicate the grid, the drives, the motors, and the compressor.
With software-in-loop and hardware-in-loop tools, operators can validate performance, tune configurations, and eliminate expensive string tests. The result is faster execution, lower cost, deeper system insight, better training, and continuous improvement across the plant lifecycle.
π€ About the GuestAnand Jha is the Vice President of Global Sales for ABB System Drive β Process Industries. With over 20 years of experience in the Oil & Gas and other Process industries, Anand has held various roles from commissioning engineer to sales leader. He is also an accomplished author, having written two books. Anand holds an MBA from the University of Alberta in Canada and a B.Tech in Electronics and Instrumentation.
π ABB Drives | ABB π Anand Jha on LinkedIn π§ [email protected] π§° Additional Tools and ResourcesI speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs: https://geoffreycann.com/contact/
β οΈ DisclaimerThe views expressed in this podcast are my own and do not constitute professional advice.

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