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Observations and Lessons Learned in Residential Roofing Integrated Photovoltaics

The data file includes field observations of residential roofing integrated photovoltaics installation that happened between July 2021 and June 2022 in California. There are 21 observations 2 in the re-roofing category and 19 in the new construction category. The file include...

Cook and JenaNational Renewable Energy Laboratory

Mar 15, 2023
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Sacramento Deep Energy Retrofit (DER) Home Study

This project was part of the Sacramento Municipal Utility District (SMUD) Deep Energy Retrofit (DER) Project which included several other homes in addition to the the subject of this study. Some of the reports and presentations included in this dataset cover the whole DER project....

Keesee, M. Sacramento Municipal Utility District

Aug 10, 2016
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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
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PV Rooftop Database

The National Renewable Energy Laboratory's (NREL) Photovoltaic (PV) Rooftop Database (PVRDB) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for 128 metropolitan regions in the United States. The PVRDB data are organized...

Mooney, M. National Renewable Energy Laboratory (NREL)

Jan 01, 2016
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TMY3 Weather Data for ComStock and ResStock

A set of TMY3 EPW weather files for each county of the U.S. NOTE: A file was uploaded on 2022/10/05 with additions to address known missing data for Nolan County, TX (FIPS: 48353), Fisher County, TX (FIPS: 48151), and Stonewall County, TX (FIPS: 48433).

Bianchi and FontaniniNational Renewable Energy Laboratory

Jan 12, 2021
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Greenbuilt Construction Energy Efficiency Retrofit House Demonstration Sacramento

One of the homes that was part of Sacramento Municipal Utility District's (SMUD) Energy Efficiency Retrofit Demonstration (EERD) project was a 1980's era home in Fair Oaks, California, referred to as the Greenbuilt house, as Greenbuilt Construction completed the retrofit of the h...

Sparn, B. et al Mountain Energy Partnership

Aug 27, 2018
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Long-Run Marginal Emission Rates for Electricity Workbooks for 2023 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States' electric sector. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how ...

GagnonNational Renewable Energy Laboratory

Feb 15, 2024
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Rooftop Energy Potential of Low Income Communities in America REPLICA

The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPL...

Mooney and SigrinNational Renewable Energy Laboratory

Apr 03, 2018
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Long-Run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could ...

Gagnon. . et al National Renewable Energy Laboratory

Jan 15, 2023
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Hourly Energy Emission Factors for Electricity Generation in the United States

Monthly average hourly CO2, NOx, and SO2 emission factors for each U.S. eGRID subregion. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the [eGRID](https://www.epa.gov/egrid) subregions in the continenta...

Studer, D. National Renewable Energy Laboratory

Nov 25, 2014
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Maximum demand charge rates for commercial and industrial electricity tariffs in the United States

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data...

McLaren. . et al National Renewable Energy Laboratory

Sep 19, 2017
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BENEFIT with Northeastern University: HVAC Hardware-in-the-Loop Experimental Testing of Heat Pump and Air Conditioner

This dataset includes HVAC Hardware-in-the-Loop (HIL) experimental results for a single stage, SEER 16, HSPF 9.5, 3-ton single-speed air source heat pump with 15 kW of backup auxiliary heating tested in both cooling and heating mode, and a two-stage, SEER 21, 2-ton central air con...

Ramaraj and SparnNational Renewable Energy Laboratory

Sep 10, 2024
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Puerto Rico Solar-for-All: LMI PV Rooftop Technical Potential and Solar Savings Potential

The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level. Each dataset is broken out by inco...

Mooney. . et al National Renewable Energy Laboratory

Jul 28, 2020
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Residential Loads May 2, 2016

Power measurements for various residential appliances in the System Performance Lab (SPL) in the Energy System Integration Facility (ESIF). This data set was collected as part of a project evaluating a new type of power meter that can reduce the cost of submetering many circuits i...

SparnNational Renewable Energy Laboratory

Jun 14, 2016
1 Resources
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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
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Long-Run Marginal Emission Rates for Electricity Workbooks for 2021 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the rate of emissions that would be either induced or avoided by a long-term (i.e., more than several years) change in electrical dem...

Gagnon. . et al National Renewable Energy Laboratory

Jan 05, 2022
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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents

Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.

Stanley. . et al National Renewable Energy Laboratory

Aug 10, 2021
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Distributed Generation Market Demand (dGen) model

The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...

Stanley, T. et al National Renewable Energy Laboratory (NREL)

Oct 16, 2020
4 Resources
1 Stars
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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release

DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...

Stanley. . et al National Renewable Energy Laboratory

Apr 01, 2020
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Low-Income Energy Affordability Data LEAD Tool 2022 Update

Ma, O. and Vimont, A. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

Aug 01, 2024
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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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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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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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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
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Thermal Cooling Water Datasets for Electric Sector Modeling

This spreadsheet contains data inputs associated with representations of water (i.e., use, supply, costs) for thermo-electric based production. Values in this spreadsheet have been used to support multiple transmission-related planning studies, using models such as Regional Energy...

Cohen. . et al National Renewable Energy Laboratory

Sep 09, 2024
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