AndreaBozzo/ceres-open-data-index huggingface dataset:
Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa

Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa (for corresponding manuscript: DOI: 10.1002/bbb.2148)&nbsp;PDF Files: Images of 1H NMR spectra for neutralized 2-stage acid hydrolysates of 4 NIST Standard Reference Material biomass samples (Monterey Pine 8493, Sugarcane Bagasse 8491, Wheat Straw 8494, and Eastern Cottonwood/Poplar 8492) and 2 Center for Bioenergy Innovation reference biomass samples (Poplar - Populus trichocarpa and Switchgrass - Panicum Virgatum). Suppression of the water peak was achieved using a NOESY-1D with presaturation, a recycle delay of 5 s, and a total of 64 scans. Spectra were acquired at 298 K and processed with automatic phase correction, baseline correction, and chemical shift referencing to TSP-d4. Images show all 1H data from 10 to 1ppm with inset spectra of region of interest (4.0 to 3.1 ppm).&nbsp;Text Files: Spectra for neutralized 2-stage acid hydrolysates of 4 NIST Standard Reference Material biomass samples (Monterey Pine 8493, Sugarcane Bagasse 8491, Wheat Straw 8494, and Eastern Cottonwood/Poplar 8492) and 2 Center for Bioenergy Innovation reference biomass samples (Poplar - Populus trichocarpa and Switchgrass - Panicum Virgatum) were converted into text files for plotting. Files contain 8192 points of raw spectral data from 12.23 to -2.78 ppm. The text file contains 4 columns of data and includes: Point number, Intensity, Hz, and ppm.&nbsp;Xcel Spreadsheet: HPLC measured monomeric sugar concentrations and bucketed 1H NMR data used to build monomeric sugar composition prediction models. Sugar composition in biomass determined from HPLC analyses are given in mg sugar/mg of biomass. Spectral bucketing was performed using Bruker’s AMIX software. Spectra were divided into 0.005 ppm buckets in the region of 3.10– 4.15 ppm for a total of 210 buckets. Headers for the bucketed data are the chemical shift in ppm of the center of the bucket. Bucketed data was used to build partial least squares models for subsequent predictions in The Unscrambler v. 10.5(CAMO A/S, Trondheim, Norway). The formation of methanol during hydrolysis interferes with the quantitative NMR analysis of sugars, so the methanol peak centered at 3.37 ppm and spanning four buckets (3.2925 – 3.2775 ppm) was set to zero for all spectra.

Tags: biomass, cbi, compositional-analysis, high-throughput, nist, nmr-spectra, pls-model
Organization: Department of Energy
DEPRECATED - Sharing the Sun Community Solar Project Data (December 2021)

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nlr.gov/submissions/244&nbsp;This database represents a list of community solar projects identified through various sources as of Dec 2021. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the sources e.g. press releases may be duplicated in the list. Blank spaces represent missing information. NREL invites input to improve the database including to - correct erroneous information - add missing projects - fill in missing information - remove inactive projects.&nbsp;Updated information can be submitted to the contact(s) located on the current data set page linked at the top.

Tags: community-solar, energy-data, solar
Organization: Department of Energy
Dwight David Eisenhower Transportation Fellowship Program System -

DDETFP is a web-based application used to measure the performance of the DDETFP program, enhance reporting, and evaluate the programs' effectiveness in meeting goals and objectives in advancing transportation education, research, and workforce development. The system has been converted from a Microsoft Access application at the request of the agency due to PII.

Tags: dwight-david-eisenhower, fellowship, transportation
Organization: Department of Transportation
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 demand. It incorporates both the projected changes to the electric grid, as well as the potential for an incremental change in electrical demand to influence the structural evolution of the grid (i.e., the building and retiring of capital assets, such as generators and transmission lines). It is therefore distinct from the more-commonly-known short-run marginal, which treats grid assets as fixed.&nbsp;The Levelized LRMER worksheet within each workbook is set up to produce a levelized long-run marginal emission rate based on user-provided inputs. These levelized LRMER values are intended for analysts to use when estimating the emissions induced (or avoided) by a long-term change in end-use electricity demand.&nbsp;There are two workbooks that supply the data at two different geographic resolutions: states and GEA regions (20 regions that are similar to, but not exactly the same as, the US EPA's eGRID regions).&nbsp;For more data underlying these emissions factors, see the Cambium 2021 project at https://cambium.nlr.gov/. For more details on the inputs into the scenarios available in the workbooks, see the Standard Scenarios 2021 Report (https://www.nlr.gov/docs/fy22osti/80641.pdf).&nbsp;This data was produced as part of the Cambium project. For more details about the methodology, see the Cambium Documentation: Version 2021 (https://www.nlr.gov/docs/fy22osti/81611.pdf).&nbsp;This data is planned to be updated annually. Information on the latest versions can be found at https://www.nlr.gov/analysis/cambium.html.

Tags: cambium, greenhouse-gas-emissions, long-run, marginal-emissions, nlr, plexos, reeds
Organization: Department of Energy
Workplace Charging Data

A data set gathered and maintained by NREL that tracks over 300 vehicles during the course of a 4-year period and how they behave in a workplace charging capacity. The data is further enriched by examining the effect of free charging versus paid charging. There is also a distinction in data marked by the onset of Covid-19. Vehicles are owned and operated by employees and range from smaller pack PHEV to larger pack BEVs.

Tags: charging, charging-behavior, charging-data, ev-charging, workplace, workplace-charging
Organization: Department of Energy
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 et al. 2020; Ho et al. 2021). All ReEDS model inputs use 2020 Standard Scenarios Mid-case assumptions except for CO2 prices, which are implemented as linearly increasing CO2 price trajectories beginning at $0/tCO2 in 2020 and ending at either $100/tCO2 or $150/tCO2 in 2035 to dive capacity expansion towards a low-carbon system that could support CCS deployment. However, these scenarios also prohibit CCS deployment in this time frame so that resulting price data are not influenced by the deployment and operation of CCS itself.&nbsp;Implementing the ReEDS to PLEXOS conversion tool, PLEXOS is then simulated using the 2035 ReEDS infrastructure for both CO2 price scenarios, with the following model version and setup:&nbsp;PLEXOS Version: 8.2&nbsp;Solver: Xpress-MP 35.01.01&nbsp;Mixed integer optimization relative gap 1%&nbsp;System configuration:&nbsp;Total number of nodes: 134 (consistent with ReEDS balancing areas) Line losses enforced using piecewise linear approximation Energy dump was enabled&nbsp;Price data is aggregated to the ISO/RTO level using load-weighted averages.&nbsp;References:&nbsp;Cole, Wesley, Sean Corcoran, Nathaniel Gates, Daniel Mai, Trieu, and Paritosh Das. 2020. “2020 Standard Scenarios Report: A U.S. Electricity Sector Outlook.” NREL/TP-6A20-77442. Golden, CO: National Renewable Energy Laboratory. https://www.nlr.gov/docs/fy21osti/77442.pdf.&nbsp;Gagnon, Pieter, Will Frazier, Elaine Hale, and Wesley Cole. 2020. “Cambium Documentation: Version 2020.” NREL/TP-6A20-78239. National Renewable Energy Lab. (NREL), Golden, CO (United States). https://doi.org/10.2172/1734551.&nbsp;Ho, Jonathan, Jonathon Becker, Maxwell Brown, Patrick Brown, Ilya (ORCID:0000000284917814) Chernyakhovskiy, Stuart Cohen, Wesley (ORCID:000000029194065X) Cole, et al. 2021. “Regional Energy Deployment System (ReEDS) Model Documentation: Version 2020.” NREL/TP-6A20-78195. Golden, CO: National Renewable Energy Laboratory. https://doi.org/10.2172/1788425.

Tags: carbon-capture, electricity, electricity-price, modeling, plexos, reeds
Organization: Department of Energy
Community Solar Policy Screening Workbook for Multifamily Affordable Housing Building Portfolios

This workbook provides a framework to help Multifamily Affordable Housing (MFAH) housing providers evaluate state-level policy landscapes as they relate to MFAH community solar development. By exploring which programs and policies aid in the technical and economic feasibility of MFAH solar projects, building owners can gain an understanding of where in their portfolios to begin developing solar. This workbook also walks through the steps necessary for MFAH building owners to assess their portfolios using this framework. It was developed by the National Renewable Energy Laboratory for the National Community Solar Partnership (NCSP) Multifamily Affordable Housing Collaborative. Learn more about the NCSP and the Collaborative at https://www.energy.gov/communitysolar/community-solar.

Tags: community-solar, multifamily-affordable-housing, policy
Organization: Department of Energy
Property Address Directory

The PAD (Property Address Directory) file contains additional geographic information at the tax lot level not found in the PLUTO files.  This data includes alias addresses and Building Identification Numbers (BINs).  It consists of two ASCII, comma delimited files: a tax lot file and an address file.

All previously released versions of this data are available on the <a href="https://www.nyc.gov/content/planning/pages/resources/datasets/pad">DCP Website: BYTES of the BIG APPLE</a>. Current version: 26a

Tags: block, building, city-planning, dcp, lot, pad, planning, property-address-directory, tax-lot
Organization: City of New York
Block Scale Rooftop Solar Technical Potential for the City of Orlando

The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for the city of Orlando in Florida. The rooftop solar technical potential information is based on data from two different datasets. The first dataset is LiDAR data for the city of Orlando obtained from the Orlando Utilities Commission (OUC) (Koebrich et al. 2021). The second dataset is a national parcel dataset (HIFLD 2020) which contains descriptive data and geometries for parcels in the U.S. Parcel scale data from both these datasets have been processed and aggregated to block scale to produce these html maps. The first html map (block scale developable roof area for Orlando) contains the developable roof area for solar. The second html map (block scale rooftop solar technical potential for Orlando) contains the rooftop solar technical potential in units of kilowatts as well as additional information on the most common building use type and the most common building occupancy type for the block. These html maps are provided to demonstrate the proof-of-concept analysis conducted for Orlando.

Tags: building-roof-area, orlando, parcel-scale, pv, rooftop-solar, solar-technical-potential
Organization: Department of Energy
U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks: Q1 2021

NREL has been modeling U.S. solar photovoltaic (PV) system costs since 2009. This year, our report benchmarks costs of U.S. PV for residential, commercial, and utility-scale systems, with and without storage, built in the first quarter of 2021 (Q1 2021). The methodology includes bottom-up accounting for all system and project-development costs incurred when installing residential, commercial, and utility-scale systems and it models the capital costs and levelized cost of energy for such systems.

Tags: battery-energy-storage, bottom-up-cost-model, capital-cost, commercial, cost-analysis, pv, residential-solar, solar, utility-scale-solar
Organization: Department of Energy
Solar Futures Study Databook

The Solar Futures Study explores pathways for solar energy to drive deep decarbonization of the U.S. electric grid and considers how further electrification could decarbonize the broader energy system.&nbsp;This workbook contains data behind most figures in the U.S. Department of Energy's Solar Futures Study. Data are not provided for figures with data labels and certain figures generated with larger data sets. These data will be made available upon request.

Tags: concentrating-solar-power, energy-analysis, photovoltaics, rooftop-solar, solar, solar-futures-study, utility-scale-solar
Organization: Department of Energy
University of Louisiana at Lafayette

A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance to define the amount of solar energy that hits this particular location. The solar measurement instrumentation is also accompanied by meteorological monitoring equipment to provide scientists with a complete picture of the solar power possibilities.

Tags: diffuse-temperature, direct, display, global, humidity, instrumentation, irradiance, measurement, meterological, midc, outdoor, precipitation, pressure, pyranometer, radiometer, solar, solar-calendar, thermopile, weather, wind, wind-rose
Organization: Department of Energy
OPFLearnData: Dataset for Learning AC Optimal Power Flow

The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to typical dataset creation methods. The OPFLearn dataset creation method uses a relaxed AC OPF formulation to reduce the volume of the unclassified input space throughout the dataset creation process.&nbsp;The dataset contains load profiles and their respective optimal primal and dual solutions. Load samples are processed using AC OPF formulations from PowerModels.jl. More information on the dataset creation method can be found in our publication, "OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets" and in the package website: https://github.com/NREL/OPFLearn.jl.

Tags: load-profile, machine-learning, nonlinear-optimization, optimal-power-flow, power-system
Organization: Department of Energy
Big Box Retail Grocery Store and Electric Vehicle Station Load Profiles

This dataset includes yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis, as well as electric vehicle charging time series profiles for the various ports, charging levels, and station utilizations produced for the study "Impact of electric vehicle charging on the power demand of retail buildings", published in 2021 (https://doi.org/10.1016/j.adapen.2021.100062).&nbsp;Please cite as: Gilleran, M., Bonnema, E., Woods, J. et al. Impact of electric vehicle charging on the power demand of retail buildings. Advances in Applied Energy 4, (2021). https://doi.org/10.1016/j.adapen.2021.100062

Tags: big-box-grocery-store, building-energy, electric-vehicle, extreme-fast-charging, power-demand, seasonal-variation
Organization: Department of Energy
Equitable Energy Investment Prioritization Data Set

This data set compiles metrics related to energy justice, environmental justice, and renewable energy (RE) deployment potential. The metrics, including energy burden, sociodemographic characteristics, environmental hazard exposure, and the technical generation potential and levelized cost of energy for six RE technologies, originated from several previously published data sets: SLOPE, LEAD, REopt, EJSCREEN, and Rural Atlas. The data set can be used to inform disadvantaged communities of their RE potential and to guide investments that prioritize these communities.

Tags: county, energy-justice, geothermal, hydropower, renewable-energy, rooftop-pv, solar, storage, wind
Organization: Department of Energy
ResStock Communities Local Energy Action Program (Communities LEAP) Pilot Residential Housing Analysis

Data is associated with Report "ResStock Communities LEAP Pilot Residential Housing Analysis - Detailed Methodology" by Lixi Liu, Jes Brossman, Yingli Lou technical report number NREL/TP-5500-88058. Results outline the potential impacts of the energy efficiency and electrification retrofit packages on communities’ housing stock.

Tags: alabama, columbia, communities-leap, duluth, electrification, emissions, energy-bills, energy-efficiency, hill-district, illinois, jackson-county, kentucky, lawrence, louisville, massachusetts, minnesota, north-birmingham, pennsylvania, resstock, san-jose-california, south-carolina
Organization: Department of Energy
Life Cycle Emissions Factors for Electricity Generation Technologies

This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion battery storage, natural gas, nuclear, ocean, oil, photovoltaic, pumped-storage hydropower, and wind. Quartile estimates of life cycle emissions factors in units of grams of carbon dioxide equivalent per kilowatt hour of generation (g CO2e/kWh) are provided for the following life cycle stages: one-time upstream, ongoing combustion, ongoing non-combustion, one-time downstream, and total.&nbsp;Literature estimates were compiled by the LCA Harmonization study and subsequent updates, as detailed in the factsheet which accompanies this dataset, https://www.nlr.gov/docs/fy21osti/80580.pdf.

Tags: battery-energy-storage, bioenergy, coal, concentrating-solar-power, electricity, greenhouse-gas-emissions, hydropower, life-cycle-assessment, natural-gas, nuclear-power, oil, photovoltaic, water-power, wind-energy
Organization: Department of Energy
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.

Tags: adoption, agent-based-model, photovoltaic, pv-adoption, resilient-planning-for-distributed-energy-resources, rider, solar, solar-adoption, techno-economic-analysis, techno-economic-modeling
Organization: Department of Energy
Heavy-Duty Vehicle Activity for EPA MOVES

The U.S. Environmental Protection Agency’s (EPA’s) MOtor Vehicle Emission Simulator (MOVES) is a publicly available tool used by researchers and policymakers to help understand motor vehicle emission sources at a national, county, and project level. Estimates of heavy-duty activity in the previous version of the model were identified as an area in need of improvement. As a joint effort, EPA and NREL have cooperated to analyze the start and idle activity of heavy-duty vehicles using two on-road datasets: 1. Fleet DNA database from NREL and 2. CE-CERT data collected by the University of California, Riverside for the California Air Resources Board. The combined dataset includes 564 commercial vehicles and more than 23,000 vehicle days’ operation and covers seven of nine heavy-duty vehicle source types defined by the MOVES. In this dataset, the detailed analytical results, as well as the corresponding metadata information, were stored to be publicly available.

Tags: ce-cert, fleet-dna, heavy-duty-vehicles, moves, on-road, start-and-idle-activity
Organization: Department of Energy
DEPRECATED - Sharing the Sun Community Solar Project Data (Dec 2020, Revision)

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nlr.gov/submissions/244&nbsp;This database represents a list of community solar projects identified through various sources as of Dec 2020. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the sources e.g. press releases may be duplicated in the list. Blank spaces represent missing information. NREL invites input to improve the database including to - correct erroneous information - add missing projects - fill in missing information - remove inactive projects.&nbsp;Updated information can be submitted to the contact(s) located on the current data set page linked at the top. The revision dataset included projects with a total installed capacity in 2020 under the state-level program but missing the project level details.&nbsp;

Tags: community-solar, solar, utility-service-territory
Organization: Department of Energy
Heavy-Duty Electric Fleet Depot Charging Load Profiles & Substation Load Integration Assessment Results

This data set includes the 24-hour fleet depot charging load profiles (15-min. average demand) and substation load integration assessment results produced for the study, "Heavy-Duty Truck Electrification and the Impacts of Depot Charging on Electricity Distribution Systems", published in 2021 (https://doi.org/10.1038/s41560-021-00855-0). The code developed to generate these load profiles is publicly available at https://github.com/NREL/hdev-depot-charging-2021.&nbsp;Please cite as: Borlaug, B., Muratori, M., Gilleran, M. et al. Heavy-duty truck electrification and the impacts of depot charging on electricity distribution systems. Nat Energy 6, 673–682 (2021). https://doi.org/10.1038/s41560-021-00855-0

Tags: charging, distribution-systems, electric-vehicle, ev-grid-integration, heavy-duty-vehicles
Organization: Department of Energy