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Thermoelectric Materials Development for Low Temperature Geothermal Power Generation

Data includes characterization results for novel thermoelectric materials developed specifically for power generation from low temperature geothermal brines. Materials characterization data includes material density, thickness, resistance, Seebeck coefficient. This research was ca...

Hansen, T. Southern Research Institute

Jan 29, 2016
3 Resources
0 Stars
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GeoVision Barriers Taskforce

This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
0 Stars
Publicly accessible

DOE Facility Database

Bectel, R. and Transitions, U. Office of Energy Efficiency & Renewable Energy

May 13, 2015
2 Resources
1 Stars
In curation

DOE Challenge Home Multifamily Development Mixed Climate

The U.S. Department of Energys Zero Energy Ready Home (ZERH) recognition program builds upon the building science requirements of ENERGY STAR Certified Homes, Version 3 and best practices tested by the Building America research and demonstration program. Multifamily units (units i...

Dentz, J. and Alaigh, K. The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
5 Resources
0 Stars
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Auto Indexer Auto-Indexer for Percussive Hammers: Vane Motor Dynamometer Testing

Objectives Options associated with geothermal drilling operations are generally limited by factors such as formation temperature and rock strength. The objective of the research is to expand the "tool box" available to the geothermal driller by furthering the development of a hig...

Su, J. Sandia National Laboratories

Jan 01, 2012
1 Resources
0 Stars
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BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...

Emami, P. and Graf, P. National Renewable Energy Laboratory

Dec 31, 2018
6 Resources
1 Stars
Publicly accessible

New York State Energy Research and Development Authority Exterior Building Solutions To Insulation

TO4 8.2.2: Space Cond. for Deep Energy Retrofits The purpose of this project for the New York State Energy Research and Development Authority (NYSERDA) is to find new or improved strategies for exterior building solutions in regard to insulation that will provide extensive energy...

Beach, R. et al Ibacos Innovation

Apr 27, 2016
14 Resources
0 Stars
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Public Housing: A Tailored Approach to Energy Retrofits Raleigh

More than 1 million U.S. Department of Housing and Urban Development-supported public housing units provide rental housing for eligible low-income families across the country. These units range from scattered single-family houses to high-rise apartments. In this project, the Advan...

Dentz, J. et al The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
7 Resources
0 Stars
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U.S. Wind Siting Regulation and Zoning Ordinances

A collection of documented wind siting ordinances at the state, county, township, and local level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (https://windexchange.energy.gov/policies-incentives), Nati...

Lopez, A. et al National Renewable Energy Laboratory (NREL)

Sep 25, 2019
1 Resources
0 Stars
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Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate

Understanding indoor humidity conditions in low energy homes in hot-humid climates is critical to promoting long term occupant comfort, indoor air quality and building durability. The results of this study were expected to inform the residential building community on whether suppl...

Kerrigan, P. and Norton, P. National Renewable Energy Laboratory

Apr 27, 2016
7 Resources
0 Stars
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Wave Tank Testing Report for Controls Validation of a Heaving Point Absorber

The core objectives of this project is to improve the power capture of three different wave energy conversion (WEC) devices by more than 50% using an advanced control system and validate the attained improvements using wave tank and full scale testing. In parallel, we will bring a...

Previsic, M. et al Re Vision Consulting

Aug 26, 2020
3 Resources
0 Stars
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Wave Tank Testing of 1-DoF Heaving Buoy for Controls Validation Purposes

This submission includes the wave tank testing data used to validate the controls optimization efforts of a heaving 1-DoF buoy.

Previsic, M. et al Re Vision Consulting

Jul 13, 2017
4 Resources
0 Stars
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CalWave Open Water Demo Budget Period 1 Reports

The objective of the project is to advance the Technology Readiness Level (TRL) of the Wave Energy Converter (WEC) developed by CalWave Wave Power Technologies Inc (CalWave) through advanced numerical simulations, dynamic hardware tests, and ultimately a scaled open water demonstr...

Boerner, T. et al CalWave Power Technologies Inc.

Jun 03, 2019
8 Resources
0 Stars
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Comparative Performance of Four Prototype Mechanical Building Cooling Systems in a Desert Climate

Data and result of approximately fifteen months of monitoring of four houses located in the desert climate of Borrego Springs, California. Four houses were constructed using identical floor plans but differing wall materials, and different cooling systems that were designed to red...

Springer, D. et al Davis Energy

Jul 20, 2016
9 Resources
0 Stars
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TEAMER: Drifting Hydrophone System Block Diagram and Pre-Amplifier Calibrations

This data release is part of TEAMER RFTS 2, where the Cooperative Institute for Marine Resources Studies (CIMRS) at Oregon State University is performing hardware and software development and integration of four newly designed drifting hydrophone systems for underwater noise measu...

Turnbull, J. et al Pacific Marine Energy Center (PMEC)

Feb 26, 2024
3 Resources
0 Stars
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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
0 Stars
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Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage

Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...

Malkewicz, N. et al University of Illinois

May 05, 2021
8 Resources
0 Stars
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Shallow EGS Regional Resource Potential and Map Snake River Plain

SMU Geothermal Lab developed a methodology to estimate shallow (1 km to 4 km) Enhanced Geothermal Systems (EGS) resource potential using an approach that utilizes recent geology and geophysical research along with new well data to improve the thermal conductivity model, mitigate i...

Batir, J. et al Southern Methodist University Huffington Department of Earth Sciences

Oct 30, 2020
2 Resources
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Conway St Apartments Olive Street Development

In Greenfield, Massachusetts, Olive Street Development transformed an old elementary school building into 12 high-end rental apartments. The developer aimed to get as close to net-zero performance as practical, installing: (1) R-30 high-density spray foam against the brick walls (...

Aldrich, R. and Williamson, J. Steven Winter Associates of the Consortium for Advanced Residential Buildings

Apr 27, 2016
2 Resources
0 Stars
In curation

TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles

This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, w...

Lu, K. and Datla, R. Pyro-E

Oct 01, 2021
4 Resources
0 Stars
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BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...

Tripp, C. et al National Renewable Energy Laboratory

May 20, 2022
4 Resources
0 Stars
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Geothermal Project Database Supporting Barriers and Viability Analysis for Development by 2020 Timeline

This data provides the underlying project-level analysis and data sources complied in response to the DOE request to determine the amount of geothermal capacity that could be available to meet the President's request to double renewable energy capacity by 2020. The enclosed dat...

Wall, A. and Young, K. National Renewable Energy Laboratory

Oct 21, 2014
2 Resources
0 Stars
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Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)

This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...

Hale, E. et al National Renewable Energy Laboratory

Jul 08, 2018
6 Resources
0 Stars
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Model results and data for Nontechnical Barriers to Geothermal Development

Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for ...

Rabinowitz, H. et al Pacific Northwest National Laboratory

Jul 25, 2022
4 Resources
0 Stars
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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...