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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop u...
Lin, G. and Mitchell, R. Lawrence Berkeley National Laboratory
Feb 26, 2019
2 Resources
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LBNL Fault Detection and Diagnostics Datasets

These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equip...
Granderson, J. et al Lawrence Berkeley National Laboratory
Aug 01, 2022
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Approaches to 30% Energy Savings at the Community Scale in the Hot-Humid Climate

The Building America Partnership for Improved Residential Construction, formerly the Building America Industrialized Housing Partnership, has worked with several community-scale builders within the hot-humid climate zone to improve performance of production-, or community-scale, h...
Beal, D. et al University of Central Florida Florida Solar Energy Center
Apr 27, 2016
9 Resources
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Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data

This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar. Three different household-level surveys were...
Sigrin, . et al National Renewable Energy Laboratory
May 22, 2017
13 Resources
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