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United States Renewable Energy Technical Potential

Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The primary benefit of assessing technical potential...

Lopez, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
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In curation

PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy

The Puerto Rico Grid Resilience and Transitions to 100% Renewable Energy Study (PR100) comprehensively analyzes possible pathways for Puerto Rico to achieve its renewable energy goals while incorporating stakeholder perspectives and advancing energy resilience for all Puerto Rican...

Sky, H. et al National Renewable Energy Laboratory (NREL)

Jul 01, 2022
17 Resources
1 Stars
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Renewable Electricity Futures Study Volume One

Renewable Electricity Futures Study Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data f...

Hand. . et al National Renewable Energy Laboratory

Jan 19, 2016
3 Resources
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2021 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This ve...

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

Jul 12, 2021
11 Resources
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Log Project Event Log & Common Case Study Set Raw Data

**Overview** This is the WFIP2 event log covering all sites and instruments for the entire project duration. Final Event Log and Common Case Study Set Additional details may be added here.

Sharp, J. et al Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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2022 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

These data provide the 2022 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...

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

Jun 01, 2022
14 Resources
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Quantifying and Monetizing Renewable Energy Resiliency

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.

Lisell. . et al National Renewable Energy Laboratory

Mar 13, 2018
3 Resources
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2020 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

Akar. . et al National Renewable Energy Laboratory

Jul 28, 2020
5 Resources
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Provider University of Washington Raw Data

**Overview** GOES satellite, WSR-88D radar, sounding balloon, surface weather observation and mesoscale model data from the area within, up, and downstream of the study area for use in event logging procedures and case study investigations.

Wade, K. Wind Energy Technologies Office (WETO)

Oct 24, 2015
1 Resources
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2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies

Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...

Hand. . et al National Renewable Energy Laboratory

Aug 21, 2017
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.02.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)