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Old School vs. New Wave: Where Manual J Meets Thermentor with Max Reichlin

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Manage episode 503982113 series 3681603
Content provided by Jeremy Begley. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremy Begley 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://podcastplayer.com/legal.

Curious about using historical energy data instead of traditional Manual J calculations for sizing HVAC systems? In this episode of HVAC ADHD, host Jeremy Begley sits down with Max Reichlin, Product Manager and Mechanical Engineer behind Thermentor, an innovative platform transforming how contractors approach load calculations.

Max dives deep into the power of data-driven load analysis, explaining how utility bills and runtime data can accurately determine HVAC sizing. Jeremy and Max discuss the differences between bottom-up (Manual J) and top-down (energy-based and runtime) models, the role of equipment efficiency in calculating accurate heating and cooling loads, and the critical challenge of handling latent loads in humid climates.

In this conversation, you'll learn:

  • How energy usage data translates into precise load calculations.
  • Practical ways contractors can use runtime and energy data to "true-up" traditional Manual J analyses.
  • The future of HVAC sizing tools and how AI could shape the industry.
  • How Thermentor simplifies data collection and streamlines the contractor-homeowner relationship.

Whether you're a seasoned HVAC pro or new to energy-based modeling, this episode provides clarity on how embracing data can lead to more accurate systems, happier customers, and better-performing homes.

Links & Resources:

Thanks to our sponsors:
Noso
Santa Fe

  continue reading

5 episodes

Artwork
iconShare
 
Manage episode 503982113 series 3681603
Content provided by Jeremy Begley. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremy Begley 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://podcastplayer.com/legal.

Curious about using historical energy data instead of traditional Manual J calculations for sizing HVAC systems? In this episode of HVAC ADHD, host Jeremy Begley sits down with Max Reichlin, Product Manager and Mechanical Engineer behind Thermentor, an innovative platform transforming how contractors approach load calculations.

Max dives deep into the power of data-driven load analysis, explaining how utility bills and runtime data can accurately determine HVAC sizing. Jeremy and Max discuss the differences between bottom-up (Manual J) and top-down (energy-based and runtime) models, the role of equipment efficiency in calculating accurate heating and cooling loads, and the critical challenge of handling latent loads in humid climates.

In this conversation, you'll learn:

  • How energy usage data translates into precise load calculations.
  • Practical ways contractors can use runtime and energy data to "true-up" traditional Manual J analyses.
  • The future of HVAC sizing tools and how AI could shape the industry.
  • How Thermentor simplifies data collection and streamlines the contractor-homeowner relationship.

Whether you're a seasoned HVAC pro or new to energy-based modeling, this episode provides clarity on how embracing data can lead to more accurate systems, happier customers, and better-performing homes.

Links & Resources:

Thanks to our sponsors:
Noso
Santa Fe

  continue reading

5 episodes

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