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Geothermal Project NEPA Database
During the 2013 fiscal year, the National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database with funding provided by the U.S. Department of Energy (DOE) Geothermal Technologies Office (GTO). The information in the databas...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Geothermal Development and the Use of Categorical Exclusions Under NEPA
This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we:
Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
City and County Commercial Building Inventories
The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data ...
Day, M. et al National Renewable Energy Laboratory
Apr 01, 2020
9 Resources
0 Stars
Curated
9 Resources
0 Stars
Curated
Early Market Opportunity MHK Energy Site Identification Wave and Tidal Resources
This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--base...
Kilcher, L. National Renewable Energy Laboratory
Apr 01, 2016
7 Resources
0 Stars
Publicly accessible
7 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
BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Curated
9 Resources
1 Stars
Curated
Renewable Electricity Procurement Options Data
The Procurement Analysis Tool (PAT) was developed at NREL to help organizations explore renewable energy options that align with their goals. Users input facility data and answer goal-oriented questions. PAT analyzes this information to identify potential wind, solar, or storage r...
Day, M. National Renewable Energy Laboratory
Nov 12, 2019
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Closed Loop Pumped Storage Hydropower Resource Assessment of the United States
The data includes a geospatial and spreadsheet representation of a resource analysis for closed loop pumped storage systems across the Continental United States, Alaska, Hawaii, and Puerto Rico. The data includes energy storage potential, water volume, distance from source to stor...
Rosenlieb, E. National Renewable Energy Laboratory
Jan 05, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
HERO WEC V1.0 WEC-Sim Detailed Simulation Runs and Summary Data
Data sets from simulation runs include 144 wave cases that were run based on the WEC-Sim model (https://mhkdr.openei.org/submissions/483). The 144 wave cases represent waves with the following wave height and wave period ranges:
Significant Wave Height: 0.25 4.0m in 0.25m incre...
Jenne, S. National Renewable Energy Laboratory
Aug 12, 2022
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Transparent Cost Database: Generation, BioFuels, Vehicle Levelized Costs
For emerging energy technologies, a variety of cost and performance numbers are cited in presentations and reports for present-day characteristics and potential improvements. Amid a variety of sources and methods for these data, the Office of Energy Efficiency and Renewable Energy...
Staff, T. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
7 Resources
1 Stars
In curation
7 Resources
1 Stars
In curation
Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Johnston, H. et al National Renewable Energy Laboratory
Jul 01, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
6 Resources
0 Stars
Publicly accessible
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
High Resolution Ocean Surface Wave Hindcast (US Wave) Data
The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project de...
Yang, Z. et al National Renewable Energy Laboratory
Jul 01, 2020
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Johnston, H. and Young, D. National Renewable Energy Laboratory
May 23, 2019
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
27 Resources
0 Stars
Publicly accessible
27 Resources
0 Stars
Publicly accessible
Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States
Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission resources), which is a comprehensive and validated representation of hourly load profiles in the U.S. commercial and reside...
Ong, S. and Clark, N. National Renewable Energy Laboratory
Nov 25, 2014
22 Resources
0 Stars
Curated
22 Resources
0 Stars
Curated
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible