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Field Testing Unvented Roofs with Asphalt Shingles in Cold and Hot-humid Climates

BSC TO5 Task 7.1 Field Testing Unvented Roofs with Asphalt Shingles in Cold Climates Bolingbrook, IL 60440 BSC TO5 Task 7.1 Field Testing Unvented Roofs with Asphalt Shingles in Hot-Humid Climates Friendswood, TX 77546 To understand the long-term moisture performance of unvented ...
Ueno, K. and Lstiburek, J. Building Science Corporation
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible

Monitoring of Double-Stud Wall Moisture Conditions in the Northeast

BSC TO5 Task 2.2 Monitoring of Double Stud Wall Moisture Conditions in the Northeast Field test data available for wood moisture contents, temperature, and relative humidity. STRUCTURE House Devens, MA 01432 Three double-stud assemblies were compared: 12-in. ocSPF, 12-in. cellulo...
Ueno, K. Building Science Corporation
Apr 27, 2016
2 Resources
0 Stars
Publicly accessible

Retrofitting a 1960s Split-Level Cold-Climate Home

The U.S. Department of Energy Building America research team Consortium for Advanced Residential Buildings (CARB) partnered with Preferred Builders, a previous CARB partner and builder of the Performance House (DOE 2013) and the owners of a 1960s split-level home in Westport, Conn...
Puttagunta, S. Steven Winter Associates of the Consortium for Advanced Residential Buildings
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible

Field Testing of an Unvented Roof with Fibrous Insulation, Tiles, and Vapor Diffusion Venting

BSC TO5 Task 2.5 Field Testing of an Un-vented Roof with Fibrous Insulation and Tiles Winter Park, FL 32789 Field test data available for wood moisture contents, temperature, and relative humidity. Un-vented roofs (aka cathedral-ized attics) are an established presence in Florida...
Ueno, K. and Lstiburek, J. Building Science Corporation
Apr 27, 2016
2 Resources
0 Stars
Publicly accessible

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible

New York State Energy Research and Development Authority Exterior Building Solutions To Insulation

TO4 8.2.2: Space Cond. for Deep Energy Retrofits The purpose of this project for the New York State Energy Research and Development Authority (NYSERDA) is to find new or improved strategies for exterior building solutions in regard to insulation that will provide extensive energy...
Beach, R. et al Ibacos Innovation
Apr 27, 2016
14 Resources
0 Stars
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Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA

TO4 Task 3.1 K Hovnanian Chicago, IL DOE Challenge Home Program Certified Home Constructed and Verified Specifications DOE Challenge Home Building envelope Ceiling R-49 blown fiberglass, Grade I Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I and 1"" R-5 extrude...
Loomis, H. and Kerrigan, P. Building Science Corporation
Apr 27, 2016
6 Resources
0 Stars
Publicly accessible

Analysis of Joist Masonry Moisture Content Monitoring

BSC TO5 Task 7.2 Analysis of Joist Masonry Moisture Content Monitoring House Lawrence, MA 01840 This work involved the field monitoring of embedded wood joist ends in a solid brick building in zone 5A that was retrofitted with interior insulation. Eleven joists throughout the bui...
Ueno, K. Building Science Corporation
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible