Polyiso CI: The Next Generation Air & Water Barrier Solution  

Air, water, thermal, and NFPA 285 fire protection requirements in one system

Sponsored by Rmax | Presented by Matt Stevens, AIA, CSI, CCPR, CDT, REWO

Webinar On-Demand

Listen to the Podcast!

 

This webinar will educate attendees about building longevity and sustainability, and how these concepts make buildings more energy-efficient. The course examines how foil-faced polyiso continuous insulation can function as multiple control layers, providing air- and water-resistive barriers, in addition to providing a thermal control layer and meeting NFPA 285 fire code standards. Additionally, the course reviews building codes and standards regarding how to meet the continuous insulation requirements in steel stud building envelope designs, the benefits of using polyisocyanurate insulation in wall assemblies and how to specify it to meet these requirements for optimal energy performance and design efficiency.

Cover

Photo courtesy of Rmax

 

 

Speaker

Matt Stevens, AIA, CSI, CCPR, CDT, REWO, received his Master’s degree in Architecture from Texas Tech University and has over 25 years in the building industry. His experience includes architectural design, construction, consulting, and training/development roles. As a Building Envelope & Architectural Consultant he works directly with Architects, Contractors, Consultants and Specifiers to select the optimal insulation for their projects while meeting applicable building codes. He is an active member that serves on the boards of several CSI and BEC chapters in Texas. Matt is also a committee member on several RAiNA committees.

Originally published in Building Enclosure

Originally published in September 2024

LEARNING OBJECTIVES
  1. Establish building sustainability and longevity concepts.
  2. Explain the science behind thermal, air, and moisture control for steel stud construction.
  3. Interpret code requirements for building envelope design and performance.
  4. Discover how polyiso meets requirements and outperforms traditional methods for optimal control.