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Highly Insulating Residential Windows Using Smart Automated Shading

Lead Performer: Lawrence Berkeley National Laboratory - Berkeley, CA
Partner: Pella Windows - Pella, IA
DOE Funding: $1,400,000
Cost Share: $40,000
Project Term: 4/1/2013 - 3/30/2016
Funding Opportunity Announcement: Building Technologies Innovations Program 2013 (DE-FOA-0000823)

Project Objective

This project creates a platform for cost-effective, high-performance residential windows that maximizes net useful solar gain in heating mode and minimizes solar gain in cooling mode. Fully automated operation that optimizes energy savings is provided by an intelligent, networkable sensor/microprocessor package that is easily installed and calibrated. Control algorithms will be developed that focus on maximum energy savings, while keeping occupants experience in mind. Several window designs will be completed, these desings will be evaluated on an annual heating and cooling energy consumption basis.. One design will be used to fabricate 25 windows, which will be demonstrated in a cold or mixed climate house. The windows will function autonomously and in a networked configuration.

Project Impact

LBNL is aiming toward a mature market cost increment of $12/ft2 of window. LBNL will also work with code officials to ensure proper credit of smart dynamic windows in future code cycles. These windows target significant reductions in residential heating as well as cooling energy.

Contacts

DOE Technology Manager: Bahman Habibzadeh
Performer: Steve Selkowitz, Lawrence Berkeley National Laboratory

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