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EIA Thermoelectric Water Cooling Data
The U.S. Energy Information Administration (EIA) collects water cooling data for the electric power industry in the United States. This submission includes annual data from 2014 to 2019. Each spreadsheet details the generator type, fuel consumption, water consumption, cooling type...
Information Administration, U. U.S. Energy Information Administration
Oct 22, 2020
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
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
Publicly accessible
5 Resources
0 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Publicly accessible
29 Resources
0 Stars
Publicly accessible
Parametric analysis on float geometries of a bistable two-body point absorber wave energy converter
The data and code are associated with a scientific research on a two-body point absorber wave energy converter (WEC) equipped with a bistable mechanism. And the data and code can be edited by Matlab. In this reasearch, the power take-off (PTO) is simplified as a linear model for t...
CHEN, Z. Jiangnan shipyard (group) Co., Ltd
Mar 31, 2026
1 Resources
0 Stars
Awaiting curation
1 Resources
0 Stars
Awaiting curation
Bottom Shear Stress in Lake Erie for Parameterization
2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...
Lin, S. Uppsala University
Mar 18, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 1
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Publicly accessible
29 Resources
0 Stars
Publicly accessible
Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Hourly Energy Emission Factors for Electricity Generation in the United States
Monthly average hourly CO2, NOx, and SO2 emission factors for each U.S. eGRID subregion.
This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the [eGRID](https://www.epa.gov/egrid) subregions in the continenta...
Studer, D. National Renewable Energy Laboratory
Nov 25, 2014
25 Resources
0 Stars
Publicly accessible
25 Resources
0 Stars
Publicly accessible
Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets
Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...
Sheng, S. National Renewable Energy Laboratory
Mar 28, 2014
5 Resources
2 Stars
Publicly accessible
5 Resources
2 Stars
Publicly accessible