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Industrial Process Heat Demand Characterization

This data set is an expansion of the facility-level process heat survey conducted by McMillan et al. 2015 https//doi.org/10.2172/1334495. Using the same methodology annual facility combustion energy use was calculated from emissions data reported to U.S. Environmental Protection A...

McMillan and RuthNational Renewable Energy Laboratory

Jul 05, 2018
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Duke Energy Carbon-Free Resource Integration Study

Supporting data for the Phase 2 of the Duke Energy Carbon-Free Resource Integration Study, which studied pathways to meeting emissions reduction targets in the Carolinas. The data sets include results from two modeling components of the study: capacity expansion modeling using ReE...

Sergi. . et al National Renewable Energy Laboratory

Aug 10, 2022
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Behind-the-Meter Storage Policy Stack

A variety of studies and disparate data sets track state energy storage policies, but these datasets do not cover all BTM-related storage policy. Moreover, these databases do not align policies with the policy stacking framework. Thus, it is unclear which BTM storage policies are ...

Cook. . et al National Renewable Energy Laboratory

Aug 09, 2022
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National Transmission Planning Study Long-Term Modeling Results

The National Transmission Planning Study (NTP Study) analyzed the transformation needed to ensure the U.S. transmission system continues to reliably meet electricity demand as the power sector evolves. The study linked several long and short-term power systems models to test numer...

Brown, P. and Mai, T. National Renewable Energy Laboratory (NREL)

Sep 10, 2023
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Simplified Space Conditioning in Low-Load Homes

TO3 2.1.6: Simplified Space Conditioning IBACOS anticipates that houses achieving 50% whole-house source energy savings with respect to the Building America 2010 Benchmark (Hendron and Engebrecht 2010a) will be considered "low load." Low load is defined by IBACOS as a house with ...

Poerschke, A. and Stecher, D. Ibacos Innovation

Apr 27, 2016
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County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...

Cole, W. et al National Renewable Energy Laboratory (NREL)

Aug 01, 2023
5 Resources
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Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

To address the need for regularly updated wind resource data, NREL has processed the High-Resolution Rapid Refresh (HRRR) outputs for use in grid integration modeling. The HRRR is an hourly-updated operational forecast product produced by the National Oceanic and Atmospheric Admin...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 15, 2024
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2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Mar 25, 2025
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NREL Price Series Developed for the ARPA-E FLECCS Program

The price data for four regions (CAISO, ERCOT, MISO-W, and PJM-W) are developed using the ReEDS to PLEXOS conversion as described in (Gagnon et al. 2020). The reference ReEDS case chosen is based on the 2020 Standard Scenario Mid-case, which uses the 2020 ReEDS model version (Cole...

Cohen and DurvasuluNational Renewable Energy Laboratory

Dec 23, 2021
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Electrification Futures Study Load Profiles

This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology advancement (Slow, Moderate, Rapid)...

Mai. . et al National Renewable Energy Laboratory

Jan 14, 2020
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AlphaBuilding Synthetic Buildings Operation Dataset

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...

Li, H. et al Lawrence Berkeley National Laboratory

Dec 21, 2020
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Opportunities for Solar for Industrial Process Heat in the United States

Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).

McMillan. . et al National Renewable Energy Laboratory

Dec 24, 2020
22 Resources
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Energy Use and Water Consumption at University of Texas at Austin

Provides annual energy usage for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005 through 2010. Steam, chilled water, and electricity are generated on the main camp...

Management, U. The University of Texas at Austin

Jul 29, 2014
3 Resources
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Performance and Costs of Ductless Heat Pumps in Marine-Climate High-Performance Homes Habitat for Humanity The Woods

The Washington State University (WSU) Energy Program's Building America (BA) team conducted a case study of a high-performance affordable housing community: The Woods (Figure 1). This BA effort is part of a larger-scale study of 30 homes funded from 2013-2016 by Tacoma Public Util...

Lubliner, M. et al Washington State University

Apr 27, 2016
8 Resources
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A National Thermal Generator Performance Database

This submission contains cleaned and filtered data from the Environmental Protection Agency Clean Air Markets CAM database of thermal power plant operation and performance.

Rossol. . et al National Renewable Energy Laboratory

Dec 05, 2018
22 Resources
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ResStock: Annual Baseline Results with Component Loads

The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and hi...

Speake, A. et al National Renewable Energy Lab

Mar 03, 2023
6 Resources
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Utility-Scale Solar, 2021 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)

Berkeley Labs "Utility-Scale Solar", 2021 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...

Bolinger, M. et al Lawrence Berkeley National Lab

Sep 30, 2021
2 Resources
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Field Testing Unvented Roofs with Asphalt Shingles in Cold and Hot-humid Climates

BSC TO5 Task 7.1 Field Testing Unvented Roofs with Asphalt Shingles in Cold Climates Bolingbrook, IL 60440 BSC TO5 Task 7.1 Field Testing Unvented Roofs with Asphalt Shingles in Hot-Humid Climates Friendswood, TX 77546 To understand the long-term moisture performance of unvented ...

Ueno, K. and Lstiburek, J. Building Science Corporation

Apr 27, 2016
3 Resources
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Manufacturing Thermal Energy Use in 2014

The first data set estimates thermal energy use (i.e., fuels combusted for process heating, boilers, and combined heat and power/cogeneration) by end use, temperature, county, and facility employment size class for all U.S. manufacturing industries in 2014. The estimation methodol...

McMillanNational Renewable Energy Laboratory

Sep 27, 2019
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Industrial Facility Combustion Energy Use

Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies ...

McMillanNational Renewable Energy Laboratory

Jul 19, 2016
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PV_window_building_study

Data associated with the paper “Photovoltaic Windows to Offset the Intensive Energy and Carbon Footprints of Highly Glazed Buildings” by Vincent M. Wheeler, Janghyun Kim, Tom Daligault, Bryan Rosales, Chaiwat Engtrakul, Robert C. Tenent, and Lance M. Wheeler

WheelerNational Renewable Energy Laboratory

Oct 23, 2022
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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop u...

Lin, G. and Mitchell, R. Lawrence Berkeley National Laboratory

Feb 26, 2019
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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...

Ayyanar, R. et al Arizona State University

Feb 01, 2025
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Field Testing of an Unvented Roof with Fibrous Insulation, Tiles, and Vapor Diffusion Venting

BSC TO5 Task 2.5 Field Testing of an Un-vented Roof with Fibrous Insulation and Tiles Winter Park, FL 32789 Field test data available for wood moisture contents, temperature, and relative humidity. Un-vented roofs (aka cathedral-ized attics) are an established presence in Florida...