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Is Wright's Law Wrong?

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Manage episode 490808046 series 2690047
Content provided by Dr. Chris Keefer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Chris Keefer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This week, we return to nuclear power. Specifically, nuclear construction and “learning curves.” It is intuitive that doing something over and over makes you better at it. In industry, this means driving down costs and timelines and boosting efficiencies. In many industries, the truth of learning curves is readily apparent. However, in Western nuclear construction it has been largely absent for decades. Robbie Stewart, CTO of Alva Energy, joins me to dissect why the nuclear industry struggles with what other industries take for granted, and highlight a few cases in nuclear that managed to buck this trend. From France's standardized reactor fleet to China's recent AP1000 acceleration, we explore the prerequisites for nuclear construction learning and why it takes more than just good engineering.

We discuss:

  • Wright's Law and its application (or misapplication) to nuclear construction

  • Why nuclear is fundamentally different from factory-floor manufacturing

  • The three categories of nuclear learning: fixing mismanagement, technology insertion, and construction optimization

  • Statistical analysis of what drives successful learning rates in nuclear programs

  • France's P4 series and South Korea's OPR-1000 as learning success stories

  • China's dramatic improvements in AP1000 construction times through supply chain mastery

  • The critical role of integrated project management and utility ownership

  • Prerequisites for learning: standardized design, sequential builds, and institutional commitment

  • Why inter-site learning is harder than intra-site learning

  • The developer model as a potential solution for geographic learning constraints

    • Ontario's SMR program as a test case for modern nuclear learning

Read extended shownotes on Substack

  continue reading

285 episodes

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Is Wright's Law Wrong?

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Manage episode 490808046 series 2690047
Content provided by Dr. Chris Keefer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Chris Keefer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This week, we return to nuclear power. Specifically, nuclear construction and “learning curves.” It is intuitive that doing something over and over makes you better at it. In industry, this means driving down costs and timelines and boosting efficiencies. In many industries, the truth of learning curves is readily apparent. However, in Western nuclear construction it has been largely absent for decades. Robbie Stewart, CTO of Alva Energy, joins me to dissect why the nuclear industry struggles with what other industries take for granted, and highlight a few cases in nuclear that managed to buck this trend. From France's standardized reactor fleet to China's recent AP1000 acceleration, we explore the prerequisites for nuclear construction learning and why it takes more than just good engineering.

We discuss:

  • Wright's Law and its application (or misapplication) to nuclear construction

  • Why nuclear is fundamentally different from factory-floor manufacturing

  • The three categories of nuclear learning: fixing mismanagement, technology insertion, and construction optimization

  • Statistical analysis of what drives successful learning rates in nuclear programs

  • France's P4 series and South Korea's OPR-1000 as learning success stories

  • China's dramatic improvements in AP1000 construction times through supply chain mastery

  • The critical role of integrated project management and utility ownership

  • Prerequisites for learning: standardized design, sequential builds, and institutional commitment

  • Why inter-site learning is harder than intra-site learning

  • The developer model as a potential solution for geographic learning constraints

    • Ontario's SMR program as a test case for modern nuclear learning

Read extended shownotes on Substack

  continue reading

285 episodes

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