The NFRC's Component Modeling Approach (CMA) Product Certification Program enables whole product energy performance ratings for commercial (non-residential) projects. The concept behind component modeling is performance data from the three primary components that make up a fenestration product are used for obtaining an overall product performance rating.
Three primary components used are:
The Component Modeling Approach Software Tool (CMAST) establishes a set of performance libraries of approved components (frames, glass, and spacer) which can be accessed for configuring fenestration products for a project, and obtaining a U-factor, Solar Heat Gain Coefficient (SHGC), and Visible Transmittance (VT) rating for those products, which can then be reflected in a CMA Label Certificate for code compliance. CMAST is web-based as well as client-based.
The completed CMA program and software tool is useful in several ways for a vast array of stakeholders in the industry:
CMA Certified Products Directory (CPD) - (please note you can get to the CMA-CPD from the login screen of CMAST and you do not need to register to view the CMA-CPD)
A listing NFRC Accredited Labs, Approved Calculation Entities, and Licensed Inspection Agencies
An independent study conducted by the Heschong-Mahone Group shows the effectiveness of CMA. The purpose of the study was to determine CMA's actual benefits compared to the California Energy Commission's (CEC) alternate Title 24 rating values, after CMA was incorporated as a standard approach in the state's Title 24 Energy Efficiency Standards for non-residential buildings.
The study compared CMA values to CEC default and equation-based values, running simulations on eight building models under conditions similar to each of California's 16 climate zones to determine energy-related performance values for fenestration products. It demonstrated that fenestration modeled with the CMA program can provide an increase in compliance margins by 11.7 percent over default calculation methods.
NFRC Site Built Program: