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9 results for “ORNL”
Model America - Chicago Archetype extract from ORNL's AutoBEM
<p>Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (<a href="https://bit.ly/AutoBEM">bit.ly/AutoBEM</a>).</p> <p><strong>Critical note: Building multipliers and models will be updated soon.</strong></p> <p>Archetype metadata, models, and multipliers are provided for 93 building <strong>archetypes</strong> located within the city of Chicago (United States):</p> <p> </p> <ol> <li><strong>Data (12KB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> <ol> <li>ID - unique building ID</li> <li>Area - estimate of total conditioned floor area (ft<sup>2</sup>)</li> <li>CZ - ASHRAE Climate Zone designation</li> <li>Height - building height (ft)</li> <li>NumFloors - number of floors (above-grade) (IECC = Residential)</li> <li>BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards</li> <li>Standard - building vintage</li> <li>WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings)</li> <li>Area2D - footprint area (ft<sup>2</sup>)</li> <li>Num_build_per_zone - Number of this building type/vintage in WRF zone</li> <li>Total_zone_area - Total area of this building type/vintage in WRF zone (ft<sup>2</sup>)</li> <li>Area_multiplier - Scaling factor for building type/vintage for building in WRF zone</li> </ol> </li> <li><strong>Models (7.69MB *.zip) - EnergyPlus building energy models named according to ID</strong> <ul> <li>Each model has approximately 3,000 building input descriptors that can be extracted. Please see the EnergyPlus (v9.4) 2,784-page <a href="https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v9.4.0/InputOutputReference.pdf">Input/Output Reference Guide </a>for everything that can be retrieved or simulated from these models.</li> </ul> </li> </ol>
Model America - Arizona extract from ORNL's AutoBEM
<p>Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (<a href="https://bit.ly/AutoBEM">bit.ly/AutoBEM</a>).</p> <p>Two sets of sample data are provided for 2,555,152 buildings located within the boundary of Arizona in the United States:</p> <ol> <li><strong>Data (884.3MB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> <ol> <li>ID - unique building ID</li> <li>Centroid - building center location in latitude/longitude (from Footprint2D)</li> <li>Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_...)</li> <li>State_abbr - state name</li> <li>Area - estimate of total conditioned floor area (ft<sup>2</sup>)</li> <li>Area2D - footprint area (ft<sup>2</sup>)</li> <li>Height - building height (ft)</li> <li>NumFloors - number of floors (above-grade)</li> <li>WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings)</li> <li>CZ - ASHRAE Climate Zone designation</li> <li>BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards</li> <li>Standard - building vintage</li> </ol> </li> <li><strong>Sample Models (21.74GB*.zip by county) – OpenStudio and EnergyPlus building energy models named according to ID</strong></li> </ol> <p><span><span>ESS-Dive Revised dataset: New </span><span>J ;</span><span> Stubbings </span><span>A ;</span><span> Li </span><span>F ;</span><span> Bass </span><span>B ;</span><span> Adams </span><span>M ;</span><span> Berres A (2023): Model America - Arizona extract from ORNL's </span><span>AutoBEM</span><span> v1.1. Southwest Urban Corridor Integrated Field Laboratory (SW-IFL), ESS-DIVE repository. Dataset. </span></span><a href="https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2212792" target="_blank" rel="noreferrer noopener"><span><span>doi:10.15485/2212792</span></span></a><span><span> accessed via </span></span><a href="https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2212792" target="_blank" rel="noreferrer noopener"><span><span>https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2212792</span></span></a><span><span> </span></span></p> <p>This data is made free and openly available in hopes of stimulating any simulation-informed use case. Data is provided as-is with no warranties, express or implied, regarding fitness for a particular purpose. We wish to thank our sponsors which include Oak Ridge National Laboratory (ORNL), U.S. Dept. of Energy’s (DOE) Building Technologies Office (BTO), Office of Electricity (OE), and Biological and Environmental Research (BER).</p>
Model America - Arizona extract from ORNL's AutoBEM - (Archetypes with simulation results)
<p>Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (<a href="https://bit.ly/AutoBEM">bit.ly/AutoBEM</a>).</p> <p>Two sets of data are provided for 2,555,153 buildings located within the boundary of Arizona in the United States:</p> <ol> <li><strong>Data (420KB *.csv) - Arizona 527 building archetypes based on different Climate Zones (2B-136, 3B-133, 4B-128, 5B-130) with simulation results.</strong></li> <li><strong>Models (38.8MB *.zip by Climate Zone) – OpenStudio and EnergyPlus building energy models named according to ID.</strong></li> </ol> <p> </p> <p>This data is made free and openly available in hopes of stimulating any simulation-informed use case. Data is provided as-is with no warranties, express or implied, regarding fitness for a particular purpose. We wish to thank our sponsors which include Oak Ridge National Laboratory (ORNL), U.S. Dept. of Energy’s (DOE) Building Technologies Office (BTO), Office of Electricity (OE), and Biological and Environmental Research (BER).</p>
Model America - Summer 2020 Arizona Building Energy Simulation Results from ORNL's AutoBEM
<p>Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (<a href="https://bit.ly/AutoBEM">bit.ly/AutoBEM</a>).</p> <p>Data is provided for 2,555,152 buildings located within the boundary of Arizona in the United States:</p> <p><strong>Data (1.48GB *.csv) - Arizona 2,555,152 building information data with simulation results separated by county. (Simulation results are for June 1st-August 31st, 2020)<br></strong></p> <p><strong>Building Information Data Fields:</strong></p> <ul> <li>ID</li> <li>CZ</li> <li>Centroid</li> <li>State_Abbr</li> <li>Footprint2D</li> <li>Height,Area2D</li> <li>BuildingType</li> <li>NumFloors</li> <li>Area</li> <li>Standard</li> <li>NumWalls</li> <li>WWR_surfaces</li> </ul> <p><strong>Energy Simulation Data Fields:</strong></p> <ul> <li>Electricity_Facility[kBTU]</li> <li>NaturalGas_Facility[kBTU]</li> <li>Heating_Electricity[kBTU]</li> <li>Cooling_Electricity[kBTU]</li> <li>Heating_NaturalGas[kBTU]</li> <li>Heating_Total[kBTU]</li> <li>WaterSystems_Electricity[kBTU]</li> <li>Lighting_Electricity[kBTU]</li> <li>Equipment_Electricity[kBTU]</li> <li>Fans_Electricity[kBTU]</li> <li>Pumps_Electricity[kBTU]</li> <li>HeatRejection_Electricity[kBTU]</li> <li>HeatRecovery_Electricity[kBTU]</li> <li>Surface_Outside_Face_Heat_Emission[GJ]</li> <li>Zone_Exfiltration_Heat_Loss[GJ]</li> <li>Zone_Exhaust_Air_Heat_Loss[GJ]</li> <li>Heat_Rejection_Energy[GJ]</li> <li>Anthropogenic_Emissions[GJ]</li> </ul> <p>This data is made free and openly available in hopes of stimulating any simulation-informed use case. Data is provided as-is with no warranties, express or implied, regarding fitness for a particular purpose. We wish to thank our sponsors which include Oak Ridge National Laboratory (ORNL), U.S. Dept. of Energy’s (DOE) Building Technologies Office (BTO), Office of Electricity (OE), and Biological and Environmental Research (BER).</p>
ORNL SESANS data of reproducibility samples
<p>SESANS data measured on the HB-2D instrument (at the High Flux Isotope Reactor HFIR at Oak Ridge National Laboratory ORNL, a reactor neutron source). The data are of SmartMembranes FlexiPor Membrane with 100 nm mean pore diameter (ORNL_Flexipor.ses) and of a sheet of Papyex flexible graphite (ORNL_Papyex.ses).</p> <p>Data are in the current (as of 14 November 2024) SESANS (or *.ses) format. This format includes metadata along with a header with four-column data (spin-echo length in Å, normalized scattering correlation function in Å^{-2} cm^{-1}, error in the normalized scattering correaltion function in the same units, and the neutron wavelength in Å).</p> <p>The detailed experimental setup can be found in F. Funama, C. M. Wolf, K. Weigandt, J. Shen, S. R. Parnell and F. Li, Spin echo small-angle neutron scattering using superconducting magnetic Wollaston prisms, Rev. Sci. Instrum., 2024, 95(7), 073709, DOI:10.1063/5.0217884.</p>
2015_Soils_ORNL_ISRIC
<p><strong>ORNL soil dataset 10k resolution:</strong></p> <p>The "Global Gridded Surfaces of Selected Soil Characteristics (IGBP-DIS)" data set contains 7<br>data surfaces: soil-carbon density, total nitrogen density, field capacity, wilting point, profile<br>available water capacity, thermal capacity, and bulk density.</p> <p>These data surfaces were generated by the SoilData System, which was developed by the Global<br>Soil Data Task Group of the International Geosphere-Biosphere Programme (IGBP) Data and<br>Information System (DIS). The SoilData System generates soil information and maps for<br>geographic regions at soil depths and resolutions selected by the user. Derived surfaces of<br>selected soil characteristics are suitable for modeling and inventory purposes. </p> <p><strong>ISRIC soil dataset 1k resolution:</strong></p> <p>SoilGrids1km is a collection of updatable soil property and<br>class maps of the world at relatively coarse resolution of<br>1 km. This is the output data-component of GSIF. The<br>predictions are generated using automated soil mapping with<br>no user intervention, and can therefore be regularly updated<br>as the new soil samples arrive. </p> <p>These datasets weer windoewed to E4warning study area </p>
ORNL Hr(Rh-R) mouse cutaneous array
GEO Series GSE4055. Mus musculus. 6 samples. Type: Expression profiling by array.
ORNL 5wk Hr(n)/+ mice skin array
GEO Series GSE4053. Mus musculus. 7 samples. Type: Expression profiling by array.
Model America - WRF Grid Cell Archetype extract from ORNL's AutoBEM
<p>Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (<a href="https://bit.ly/AutoBEM">bit.ly/AutoBEM</a>).</p> <p><strong>Critical note: Building multipliers and models will be updated soon.</strong></p> <p>Two sets of data are provided for 298,084 building <strong>archetypes</strong> located within the boundary of WRF (Weather Research and Forecasting) model in and around Los Angeles (United States):</p> <ol> <li><strong>Data (46.4MB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> <ol> <li>ID - unique building ID</li> <li>Area - estimate of total conditioned floor area (ft<sup>2</sup>)</li> <li>CZ - ASHRAE Climate Zone designation</li> <li>Height - building height (ft)</li> <li>NumFloors - number of floors (above-grade)</li> <li>BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards</li> <li>Standard - building vintage</li> <li>WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings)</li> <li>Area2D - footprint area (ft<sup>2</sup>)</li> <li>Num_build_per_zone - Number of this building type/vintage in WRF zone</li> <li>Total_zone_area - Total area of this building type/vintage in WRF zone (ft<sup>2</sup>)</li> <li>Area_multiplier - Scaling factor for building type/vintage for building in WRF zone</li> <li>Vintage - Generalized "Standard"</li> <li>BuildingType_general - Generalized "BuildingType"</li> <li>Zone_ID - ID of WRF zone</li> </ol> </li> <li><strong>Models (6.3GB *.zip) - EnergyPlus building energy models named according to ID</strong> <ul> <li>Each model has approximately 3,000 building input descriptors that can be extracted. Please see the EnergyPlus (v9.4) 2,784-page <a href="https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v9.4.0/InputOutputReference.pdf">Input/Output Reference Guide </a>for everything that can be retrieved or simulated from these models.</li> </ul> </li> </ol> <p> </p>
ScienceDex guides
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OpenNeuro
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