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Retrofitting a 1960s Split-Level Cold-Climate Home
The U.S. Department of Energy Building America research team Consortium for Advanced Residential Buildings (CARB) partnered with Preferred Builders, a previous CARB partner and builder of the Performance House (DOE 2013) and the owners of a 1960s split-level home in Westport, Conn...
Puttagunta, S. Steven Winter Associates of the Consortium for Advanced Residential Buildings
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Mini-Split Heat Pump Evaluation and Zero Energy Ready Home Support
This project was created from a partnership between the U.S. Department of Energy's (DOE's) Building America research team, IBACOS, Inc., and a production builder of high-performance homes called Imagine Homes, which is located in San Antonio, Texas-a hot-humid climate. The primar...
Rapport, A. and Herk, A. Ibacos Innovation
Apr 27, 2016
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
SplitSmart: An Open Dataset for Enabling Research in Energy-Efficient Ductless-Split Air Conditioner
SplitSmart provides a context-rich open dataset to facilitate research in energy efficient ductless-split cooling systems. The objective is to enable research advancements to make the ductless-split cooling systems (aka air conditioners) energy efficient and reduce the associated ...
Kaushik, K. and Naik, V. BITS Pilani Goa
Sep 21, 2023
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
Publicly accessible
Closed Loop Pumped Storage Hydropower Resource Assessment of the United States
The data includes a geospatial and spreadsheet representation of a resource analysis for closed loop pumped storage systems across the Continental United States, Alaska, Hawaii, and Puerto Rico. The data includes energy storage potential, water volume, distance from source to stor...
Rosenlieb, E. National Renewable Energy Laboratory
Jan 05, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
8 Resources
0 Stars
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Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA
TO4 Task 3.1 K Hovnanian Chicago, IL
DOE Challenge Home Program Certified
Home Constructed and Verified
Specifications
DOE Challenge Home
Building envelope
Ceiling R-49 blown fiberglass, Grade I
Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I
and 1"" R-5 extrude...
Loomis, H. and Kerrigan, P. Building Science Corporation
Apr 27, 2016
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
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
Publicly accessible
4 Resources
0 Stars
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Low-Income Energy Affordability Data LEAD Tool 2018 Update
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...
Ma, O. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
Jul 01, 2020
57 Resources
0 Stars
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57 Resources
0 Stars
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Low-Income Energy Affordability Data LEAD Tool 2022 Update
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...
Ma, O. and Vimont, A. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
Aug 01, 2024
63 Resources
0 Stars
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63 Resources
0 Stars
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Achieving Challenge Home in Affordable Housing in the Hot Humid Climate
The Building America Partnership for Improved Residential Construction (BA-PIRC), one of the Building America research team leads, has partnered with two builders as they work through the Challenge Home certification process in one test home each. The builder partners participatin...
Beal, D. et al University of Central Florida Florida Solar Energy Center
Apr 27, 2016
9 Resources
0 Stars
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9 Resources
0 Stars
Publicly accessible
Utility-Scale Solar, 2024 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", 2024 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...
Seel, J. et al Lawrence Berkeley National Lab
Sep 27, 2024
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Utility-Scale Solar, 2023 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", 2023 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...
Seel, J. et al Lawrence Berkeley National Lab
Sep 05, 2023
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Utility-Scale Solar, 2022 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", 2022 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...
Seel, J. et al Lawrence Berkeley National Lab
Sep 20, 2022
4 Resources
0 Stars
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4 Resources
0 Stars
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The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017
The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...
McMillan, C. et al National Renewable Energy Laboratory (NREL)
Jul 01, 2024
4 Resources
0 Stars
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4 Resources
0 Stars
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Data from USGS World Petroleum Assessment (2000)
This is the supporting data for the USGS World Petroleum Assessment, published in 2000. The assessment is the result of a five year effort to estimate the quantities of conventional oil, gas, and natural gas liquids outside the US that have the potential to be added to the reserve...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Dec 30, 2000
5 Resources
0 Stars
In curation
5 Resources
0 Stars
In curation
Fuel Poverty Trends in England (2003 2008)
The UK Department of Energy and Climate Change (DECC) publishes annual statistics on household fuel poverty. A household is considered to be in fuel poverty if over 10% of household income is spent to maintain a sufficient heating regime (21 degrees C). The key factors that affect...
Hallett, K. and (DECC), U. National Renewable Energy Laboratory
Sep 30, 2010
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022 supporting data
Data provided are numeric results used to plot the maps/figures presented in the paper “Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022” ([DOI: 10.1002/bbb.1620](http://onlinelibrary.wiley.com/doi/10.1002/bbb.1620/full)).
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Zhang, Y. National Renewable Energy Laboratory
Oct 05, 2015
13 Resources
0 Stars
In curation
13 Resources
0 Stars
In curation
Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data
This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Sep 30, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
2 Resources
0 Stars
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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
9 Resources
0 Stars
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9 Resources
0 Stars
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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
Publicly accessible
11 Resources
0 Stars
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Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value for 2012-2020
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Oct 01, 2021
4 Resources
1 Stars
Publicly accessible
4 Resources
1 Stars
Publicly accessible
Federal Energy Management Program
FEMP EISA 432 Compliance Tracking System (CTS) enables the public to analyze and generate custom reports of CTS facility level data. This data warehouse includes only non-restricted CTS data. The data warehouse consists of five data sets (or "data cubes") that may be used to build...
Temper, C. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
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In curation
Pakistan Wind Resources
GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
In curation
5 Resources
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In curation