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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Geothermal Technologies Office, U. National Renewable Energy Laboratory
Sep 30, 2019
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
WaterTAP3 Model Results for NAWI's Baseline Analyses
Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for ...
Miara, A. et al National Renewable Energy Laboratory
Feb 01, 2022
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Pauling, H. et al National Renewable Energy Laboratory
Jun 30, 2023
22 Resources
0 Stars
Publicly accessible
22 Resources
0 Stars
Publicly accessible
NREL RSF Energy Model 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
System Advisor Model (SAM)
The System Advisor Model (SAM) is a performance and financial model designed to facilitate decision making for people involved in the renewable energy industry. SAM makes performance predictions and cost of energy estimates for grid-connected power projects based on installation a...
Blair, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
United States Weather Resource Data, compatible with System Advisor Model (SAM)
Weather resource data for the United States for use in the System Advisor Model (SAM).
More information on the System Advisor Model is available at: https://www.nrel.gov/analysis/sam/.
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Combined Wind/Wave Hurricane Model
The Combined Hurricane Model data is a collaboration between the National Renewable Energy Laboratory (NREL) and researchers at the University of Miami and University of Texas at Austin. The model is unique in that it offers time-aligned predictions of full field atmospheric data ...
Phillips, C. and Laboratory, N. National Renewable Energy Laboratory
May 06, 2015
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
NREL RSF Weather Data 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Geothermal Flexibility Characteristics
This spreadsheet identifies various flexibility characteristics for flash and binary geothermal power plants which could potentially facilitate provision of grid services beyond bulk power generation. Characteristics are differentiated between resource characteristics such as meta...
Rhodes, G. and Augustine, C. National Renewable Energy Laboratory
Jun 01, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
HERO WEC V1.0 WEC-Sim Model
This zip file contains the files that are needed to simulate NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter). This requires the user to have already installed WEC-Sim. In addition to the standard toolboxes that are required to run WEC-Sim the user wi...
Jenne, S. National Renewable Energy Laboratory
Aug 12, 2022
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Wind Integration National Dataset (WIND) Toolkit
Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...
Maclaurin, G. et al National Renewable Energy Laboratory
Sep 26, 2014
6 Resources
1 Stars
Publicly accessible
6 Resources
1 Stars
Publicly accessible
HERO WEC V1.0 SolidWorks Model
The attached zip file includes a SolidWorks pack-and-go assembly of NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter) V1.0. This model does not include all aspects of the design (i.e. RO (reverse osmosis) system, electrical enclosure, hose, cable) it o...
Jenne, S. National Renewable Energy Laboratory
Aug 12, 2022
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
REopt Lite Geothermal Heat Pump Design Requirements
This document describes the design requirements for the geothermal heat pump (GHP) module being added to the existing REopt Lite web tool. This document describes the purpose, users, and functional requirements to which the modified web tool shall conform. This document will be re...
Olis, D. National Renewable Energy Laboratory
Mar 08, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
DEEPEN 3D PFA Index Models for Exploration Datasets at Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), index models needed to be de...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
NSW Australia Electricity Network Bus and Transmission Line Data: Snapshot from Mar 2011
[Moxy Knowledge Management](http://www.moxy.com.au/ "Moxy website") provides a general instance of the New South Wales (NSW), Australia, electricity network and an assessment of the robustness of the NSW electricity grid (e.g.,the results of several different outage scenarios). De...
Hallett, K. and Management, M. National Renewable Energy Laboratory
Dec 31, 2001
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)
This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...
Hale, E. et al National Renewable Energy Laboratory
Jul 08, 2018
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource
_Abstract:_ Monthly and annual average solar resource potential for Hawaii.
_Purpose:_ Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Continental United States High Resolution Concentrating Solar Power
_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America.
_Purpose:_ Provide information on the solar resource potential for the for the lower 48 states of the United States of America.
_Supplemental Informatio...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource
_Abstract:_ Monthly and annual average solar resource potential for Alaska.
_Purpose:_ Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Continental United States Photovoltaic Low Resolution
_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America.
_Purpose:_ Provide information on the solar resource potential for the United States of America lower 48 states. The insolation values represent the averag...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Hawaii Low Resolution Photovoltaic Solar Resource
_Abstract:_ Monthly and annual average solar resource potential for Hawaii.
_Purpose:_ Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Continental United States Direct Normal Solar Resource 10km Resolution (1998 2005)
This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. Thi...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Continental United States Photovoltaic (Tilt = Latitude) 10km Resolution (1998 2005)
This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. This...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation