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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
2 Resources
0 Stars
Publicly accessible
One year occupant behavior/environment data for medium U.S. office
One year of longitudinal data (fifteen minute interval) on local thermal conditions, related behaviors, and comfort of twenty-four occupants of a medium-sized office building in Philadelphia, PA.
Please cite:
Langevin, J., Gurian, P.L., and Wen, J. (2015). Tracking the human...
Langevin, J. Lawrence Berkeley National Laboratory
Jul 20, 2015
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Innovative Technologies to Overcome Interface Challenges for Wall Retrofit Systems
In this project, we will develop a system of computer-assisted, automated workflows to specify, manufacture, and install panelized retrofit systems, focusing particularly on panel joints and interface detailing between the panels and facade openings. The proposed system will subst...
Harris, C. et al National Renewable Energy Laboratory (NREL)
Dec 13, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios.
Sup3rCC is downscaled ...
Buster, G. et al The National Renewable Energy Lab (NREL)
Apr 19, 2023
7 Resources
1 Stars
Curated
7 Resources
1 Stars
Curated
Buildings Performance Database
The Buildings Performance Database (BPD) unlocks the power of building energy performance data. The platform enables users to perform statistical analysis on an anonymous dataset of tens of thousands of commercial and residential buildings from across the country. Users can compar...
Contact, B. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
The BuildingsBench datasets consist of:
Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock.
7 real residential and com...
Emami, P. and Graf, P. National Renewable Energy Laboratory
Dec 31, 2018
6 Resources
0 Stars
Curated
6 Resources
0 Stars
Curated