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Small Scale WEC Performance Modeling Data

Small Scale WEC Performance Modeling Data is performance data from downscaled models of common WEC devices and their calculated performance outputs. This data is used by the Small WEC interactive modeling tool hosted by PRIMRE. The devices include a point absorber, a two-body poin...

King, T. et al National Renewable Energy Laboratory

Nov 08, 2021
68 Resources
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NREL RSF Energy Model 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
2 Resources
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System Advisor Model (SAM)

The System Advisor Model (SAM) is a performance and financial model designed to facilitate decision making for people involved in the renewable energy industry. SAM makes performance predictions and cost of energy estimates for grid-connected power projects based on installation a...

Blair, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

TEAMER: MADWEC Techno-Economic Analysis

The objective of this project was for the facility to conduct a techno-economic assessment (TEA) of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth). MADWEC is used for powering remote monitoring a...

Ortega, T. and Baca, E. National Renewable Energy Laboratory

Mar 08, 2024
2 Resources
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Energy Appliance Data 2009-2010

Datasets for residential appliances energy usage/efficiency. The Federal Trade Commission (FTC) collects manufacturer data about the energy use and efficiency of appliances. All of the data was submitted by manufacturers under the FTC's Appliance Labeling Rule (see "FTC Appliance ...

Trade Commission, F. National Renewable Energy Laboratory

Jul 29, 2014
19 Resources
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Global Value Chain and Manufacturing Analysis on Geothermal Power Plant Turbines

In this study, we have undertaken a robust analysis of the global supply chain and manufacturing costs for components of Organic Rankine Cycle (ORC) Turboexpander and steam turbines used in geothermal power plants. We collected a range of market data influencing manufacturing from...

Akar, S. et al National Renewable Energy Laboratory

Mar 30, 2018
6 Resources
0 Stars
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Curated Test Fault Data Set

The curated fault experiment data set consists of tagged and fully described time series representing measured faults from the AFDD test building (ORNLs Flexible Research Platform [FRP]), including baseline performance and faulty performance. A total of 10 different faults are tes...

Kim, J. et al National Renewable Energy Laboratory

Sep 24, 2019
3 Resources
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COMSOL Models and Simulation Results for Closed-Loop Geothermal Systems with Thermal Enhancements

The Closed-Loop Geothermal Working Group and the National Renewable Energy Laboratory (NREL) have studied the performance of disc-shaped and linear thermal enhancements (conductive material introduced around a wellbore) in closed-loop geothermal systems. COMSOL models were develop...

Beckers, K. et al National Renewable Energy Laboratory

Dec 15, 2023
4 Resources
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Performance Analysis of a Stirling Engine Hybrid Power System

This project presents the performance analysis of a photovoltaic (PV)/Stirling battery system in terms of energy efficiency, economic feasibility, and environmental sustainability. The analysis includes the dynamic start-up and cooling phases of the system, and then compares its p...

Zabalaga, P. et al National Renewable Energy Laboratory

Dec 20, 2019
7 Resources
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Curated Modeled Fault Data Set

The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...

Kim, J. and Leach, M. National Renewable Energy Laboratory

Jun 24, 2019
7 Resources
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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...

Geothermal Technologies Office, U. National Renewable Energy Laboratory

Sep 30, 2019
16 Resources
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Solar Row Zero Energy Townhomes Boulder, CO

Wonderland Development has constructed a new "near zero energy" row home design in North Boulder consisting of 9 units: one 5-plex and two duplexes. NREL has performed short-term tests and installed long-term monitoring equipment in three of these units. Two of these units used a ...

Norton, P. et al National Renewable Energy Laboratory

Sep 27, 2016
11 Resources
0 Stars
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2020 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies

The 2020 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. The Transportation ATB includes current and projected estimates through 2050 for light-duty vehi...

Jadun. . et al National Renewable Energy Laboratory

Aug 22, 2020
5 Resources
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2020 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 up...

Akar. . et al National Renewable Energy Laboratory

Jul 28, 2020
5 Resources
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2019 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 update...

Vimmerstedt. . et al National Renewable Energy Laboratory

Jul 23, 2019
5 Resources
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Occupant Behavior in Commercial Buildings: Synthetic Population, Co-Simulation with EnergyPlus and Agent Based Modeling

This technical manual serves as an outline of three separate research projects related to building energy performance modeling of occupant behavior, conducted at the Rutgers Center for Green Building (RCGB): a Synthetic Population project, a Co-Simulation of Synthetic Population w...

Andrews, C. National Renewable Energy Laboratory

Apr 27, 2016
1 Resources
0 Stars
In curation

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
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GEOPHIRES files for DDU techno-economic simulations

During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...

Beckers, K. and Kolker, A. National Renewable Energy Laboratory

Mar 31, 2021
1 Resources
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Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios

The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as inp...

Beckers, K. and Young, K. National Renewable Energy Laboratory

Mar 23, 2017
1 Resources
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National Renewable Energy Laboratory/Habitat for Humanity Zero Energy Home: A Cold Climate Case Study for Affordable Zero Energy Homes

The design of this 1,280-square-foot, three-bedroom Habitat for Humanity of Metro Denver zero energy home carefully combines envelope efficiency, efficient equipment, appliances and lighting, and passive and active solar features to reach the zero energy goal. The home was designe...

Norton, P. et al National Renewable Energy Laboratory

Jul 21, 2016
4 Resources
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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
9 Resources
1 Stars
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DOE Buildings Performance Database, sample Residential data

* This is a non-proprietary subset of DOE's Buildings Performance Database. Buildings from the cities of Dayton, OH and Gainesville, FL areas are provided as an example of the data in full database. * Sample data here is formatted as CSV * The Buildings Performance Database will...

Shah, M. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
7 Resources
0 Stars
In curation

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
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...