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DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States

This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...

Kolker, A. et al National Renewable Energy Laboratory

Sep 30, 2021
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DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

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), weights needed to be develop...

Taverna, N. et al National Renewable Energy Laboratory

Jun 30, 2023
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...

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

Jul 13, 2015
5 Resources
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Maximum demand charge rates for commercial and industrial electricity tariffs in the United States

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data...

McLaren. . et al National Renewable Energy Laboratory

Sep 19, 2017
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NREL RSF Measured 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
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NREL RSF Weather Data 2011

Sheppy, M. et al National Renewable Energy Laboratory

Nov 25, 2014
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (Feb 2011)

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

Nov 25, 2014
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Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

Sheppy. . et al National Renewable Energy Laboratory

Mar 25, 2016
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)

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

Dec 01, 2015
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NREL RSF Energy Model 2011

Sheppy, M. et al National Renewable Energy Laboratory

Nov 25, 2014
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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
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Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...

Davalos Elizondo, E. et al National Renewable Energy Laboratory

Feb 06, 2023
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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
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DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)

Maximum demand charge rates for commercial and industrial electricity tariffs in the United States

NREL RSF Measured Data 2011

NREL RSF Weather Data 2011

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (Feb 2011)

Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)

NREL RSF Energy Model 2011

BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results