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Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...
Hu, J. et al Lawrence Berkeley National Laboratory
Jan 31, 2022
10 Resources
0 Stars
Publicly accessible

Hathaway Solar Patriot House

The Hathaway Solar Patriot House was a Building America field research case study from 2001 to 2004. A report on this project is available in this record or from the National Renewable Energy Laboratory. http://www.nrel.gov/docs/fy05osti/37731.pdf
Norton, P. and Laboratory, N. National Renewable Energy Laboratory
Jun 10, 2016
4 Resources
0 Stars
In curation

Illinois High Resolution Wind Resource

Annual average wind resource potential of Illinois at a 50 meter height. This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Pakistan Wind Resources

GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
In curation

USLCI Database_Electricity, at Grid, US, 2008

Gate to gate life cycle inventory (LCI) data for the US national grid. Includes generation and transmission of electricity for US electricity grid. Representative of year 2008 mix of fuels used for utility electricity generation in US. Fuels include biomass, coal, petroleum, geo...
Carpenter, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Seasonal and diurnal data from Afghanistan surface weather stations

This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org) (SARI/E). The dataset contains gra...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Electricity Generation and Consumption by State (2008 )

Provides total annual electricity consumption by sector (residential, commercial and industrial) for all states in 2008, reported in GWh, and total electricity generation by sector (e.g. wind, solar, nuclear, coal) for all states in 2008, reported in GWh.
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Reference Model 2 Cost Breakdown (RM2: River Current Turbine)

Contains the Reference Model 2 (RM2) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM2 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...
Neary, V. et al Sandia National Laboratories
Sep 30, 2014
2 Resources
0 Stars
Publicly accessible

NREL GIS Data: Wisconsin High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for Wisconsin at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential in Wisconsin. _Supplemental Information:_ This data set has been validated by NREL and wind energy meteorologic...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Bureau of Land Management (BLM) Public Lands in geothermal potential area

The dataset is a GIS layer displaying BLM public lands that lie within an area that has geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Open information http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

National Forest System Lands in geothermal potential area

A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made open by BLM. http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2006
2 Resources
0 Stars
In curation

Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands at a 100 Meter Hub Height

This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Annual Average Modeled Wind Speed (m/s) for Puerto Rico and the Virgin Islands at a 70 Meter Hub Height.

This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

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

EcoVillage: A Net Zero Energy Ready Community Ithaca Crawlspace

The U.S. Department of Energy's (DOE) Building America team, Consortium for Residential Buildings (CARB), is working with the EcoVillage cohousing community in Ithaca, New York, on the Third Residential EcoVillage Experience neighborhood. This community-scale project consists of 4...
Arena, L. et al Steven Winter Associates of the Consortium for Advanced Residential Buildings
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible

Curated Modeled Fault Data Set

The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...
Kim, J. and Leach, M. National Renewable Energy Laboratory
Jun 24, 2019
7 Resources
0 Stars
Curated

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...
Sullivan, P. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
1 Stars
Curated

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
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Apr 05, 2024
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 21, 2022
4 Resources
0 Stars
Curated

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2021
4 Resources
0 Stars
Curated

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2020
4 Resources
0 Stars
Curated

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 06, 2024
4 Resources
0 Stars
Curated

Import Shipments of Solar Thermal Collectors by Country, 2008 and 2009

Solar thermal devices use direct heat from the sun, concentrating it in some manner to produce heat at useful temperatures. The modern solar industry began with the oil embargo of 1973-1974 and was strengthened with the second embargo in 1979. The growth of the solar industr...
Hill, G. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
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