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Resource Analysis for Deep Direct-Use Feasibility Study in East Texas, Part 2

The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power pl...

Richards, M. et al Southern Methodist University

Mar 01, 2019
6 Resources
0 Stars
Publicly accessible

2022 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies

The 2022 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. It includes current and projected estimates: time-series through 2050 for light, medium, and hea...

Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)

Nov 17, 2023
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

Utility-Scale Solar, 2024 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)

Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...

Seel, J. et al Lawrence Berkeley National Lab

Sep 27, 2024
5 Resources
0 Stars
Curated

Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...

Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory

Mar 09, 2018
11 Resources
0 Stars
Publicly accessible

Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data

EIA previously collected sales and revenue data in a category called "Other." This category was defined as including activities such as public street highway lighting, other sales to public authorities, sales to railroads and railways, and interdepartment...

Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Annual Average)

This shapefile represents annual average cold water depth recordings. The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ?T are input into the power equation. This optimization ba...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Summer Average)

This shapefile represents seasonal summer average cold water depth recordings. The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ΔT are input into the power equation. This optim...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Winter Average)

This shapefile represents seasonal winter average cold water depth recordings. The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ΔT are input into the power equation. This optim...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Sup3rWind Data (CONUS)

This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and long...

Sinha, S. et al National Renewable Energy Lab NREL

Jul 16, 2024
6 Resources
0 Stars
Curated

Modeling the Integration of Marine Energy into Microgrids Wave Resource Assessment

This submission has wave resource assessments which were conducted for six locations based on IEC requirements using the DOE WPTO Hindcast data and MHKiT. The locations are chosen to provide varying wave climates and include PacWave South, OR; Wave Energy Testing Site (WETS), HI; ...

Mankle, H. and Robertson, B. University of Alaska Fairbanks

Jan 19, 2023
9 Resources
0 Stars
Publicly accessible

SMP Preparation, Programming, and Characterization

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 Resources
0 Stars
Publicly accessible

University of Illinois Campus Deep Direct-Use Feasibility Study Chemistry of Formation Waters

Studies of chemical composition of natural brines from rock formations in the Illinois Basin as part of the University of Illinois deep direct-use feasibility study.

Lin, Y. et al University of Illinois

Apr 23, 2018
6 Resources
0 Stars
Publicly accessible

Ocean Thermal Energy Conversion (OTEC) Net Power (Summer Average)

This shapefile represents seasonal summer average net power estimates. The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep se...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Net Power (Winter Average)

This shapefile represents seasonal winter average net power estimates. The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep se...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Commercial Reference Building: Midrise Apartment

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Midrise Apartment" for each of the 16 clima...

Deru, M. et al National Renewable Energy Laboratory