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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
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
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
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) delta T (Annual Average)
This shapefile represents annual average delta T estimates.
ΔT represents the difference in temperature (°C) between the warm and cold water sources used by an OTEC plant at a specific location. Warm water is defined uniformly as water at a depth of 20 m, while cold water is ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) delta T (Summer Average)
This shapefile represents seasonal summer average delta T estimates.
ΔT represents the difference in temperature (°C) between the warm and cold water sources used by an OTEC plant at a specific location. Warm water is defined uniformly as water at a depth of 20 m, while cold ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision
Tier 3 data for Appalachian Basin sectors of New York, Pennsylvania and West Virginia used in a Geothermal Play Fairway Analysis of opportunities for low-temperature direct-use applications of heat. It accompanies data and materials submitted as Geothermal Data Repository Submissi...
Jordan, T. Cornell University
Dec 07, 2016
3 Resources
0 Stars
Publicly accessible
3 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
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
2 Resources
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In curation
Admiralty Inlet Advanced Turbulence Measurements: Final Data and Code Archive
Data and code that is not already in a public location that is used in Kilcher, Thomson, Harding, and Nylund (2017) "Turbulence Measurements from Compliant Moorings Part II: Motion Correction" doi: 10.1175/JTECH-D-16-0213.1.
The links point to Python source code used in the publi...
Kilcher, L. et al National Renewable Energy Laboratory
Feb 01, 2011
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
WIND Toolkit Long-Term Ensemble Dataset
WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...
Wang, J. et al National Renewable Energy Laboratory (NREL)
Jan 24, 2024
3 Resources
1 Stars
In curation
3 Resources
1 Stars
In curation
Form EIA-860 Annual Electric Generator Report
The Form EIA-860 is a generator-level
survey that collects specific information about existing and planned
generators and associated environmental equipment at electric power
plants with 1 megawatt or greater of combined nameplate capacity. The
survey data is summarized in...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) Net Power (Annual Average)
This shapefile represents annual 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 sea water t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
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2 Resources
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Cornell Ithaca Campus heat use data for a model year
Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs).
The data are presented as a spreadsheet, detailing on an ho...
Beyers, S. and Gustafson, J. Cornell University
Nov 13, 2019
2 Resources
0 Stars
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2 Resources
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Publicly accessible
3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Siler, D. and Pepin, J. United States Geological Survey
Oct 01, 2021
4 Resources
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4 Resources
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NREL Global Offshore Wind GIS Data
GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).
Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
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In curation
Focusing Wave Energy for Wave Energy Converter Applications
Wave tank tests at Stevens Institute of Technology quantified the ability of near-surface platforms to concentrate wave energy over the platform.
Due to the instantaneous change in water depth, mass, energy, and power are conserved in this process. The energy and power concentrat...
Raftery, M. Martin and Ottaway
Aug 10, 2010
7 Resources
0 Stars
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7 Resources
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Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Jordan, T. et al Cornell University
Oct 27, 2019
27 Resources
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27 Resources
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
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6 Resources
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Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance
This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...
Zeng, Z. et al Argonne National Laboratory
Jul 14, 2024
7 Resources
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7 Resources
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Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Smith, J. Cornell University
Oct 29, 2019
6 Resources
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6 Resources
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NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource
_Abstract:_ Monthly and annual average solar resource potential for Hawaii.
_Purpose:_ Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource
_Abstract:_ Monthly and annual average solar resource potential for Alaska.
_Purpose:_ Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Continental United States Photovoltaic Low Resolution
_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America.
_Purpose:_ Provide information on the solar resource potential for the United States of America lower 48 states. The insolation values represent the averag...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Hawaii Low Resolution Photovoltaic Solar Resource
_Abstract:_ Monthly and annual average solar resource potential for Hawaii.
_Purpose:_ Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Final Report Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus
The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy...
Tester, J. et al Cornell University
Oct 27, 2019
6 Resources
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6 Resources
0 Stars
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