AndreaBozzo/ceres-open-data-index huggingface dataset:
DEPRECATED.  SEE UPDATE LINK BELOW. Distribution System Upgrade Unit Cost Database

REVISED 1/2/2019. SEE UPDATE LINK BELOW.  This database contains unit cost information for different components that may be used to integrate distributed photovotaic D-PV systems onto distribution systems. Some of these upgrades and costs may also apply to integration of other distributed energy resources DER. Which components are required and how many of each is system-specific and should be determined by analyzing the effects of distributed PV at a given penetration level on the circuit of interest in combination with engineering assessments on the efficacy of different solutions to increase the ability of the circuit to host additional PV as desired. The current state of the distribution system should always be considered in these types of analysis. The data in this database was collected from a variety of utilities PV developers technology vendors and published research reports. Where possible we have included information on the source of each data point and relevant notes. In some cases where data provided is sensitive or proprietary we were not able to specify the source but provide other information that may be useful to the user e.g. year location where equipment was installed. NREL has carefully reviewed these sources prior to inclusion in this database. Additional information about the database data sources and assumptions is included in the Unit_cost_database_guide.doc file included in this submission. This guide provides important information on what costs are included in each entry. Please refer to this guide before using the unit cost database for any purpose. 

Tags: bottom-up-analysis, capacitor-banks, cost, distribution-systems, distribution-upgrades, grid-integration, hardware-costs, interconnection, phase-balancing, photovoltaic, pv, reclosers-and-relays, software-costs, transformers, unit-cost, utility, voltage-regulators
Organization: Department of Energy
ATP3 Unified Field Study Data

ATP3 Unified Field Study DataThe Algae Testbed Public-Private Partnership ATP3 was established with the goal of investigating open pond algae cultivation across different geographic climatic seasonal and operational conditions while setting the benchmark for quality data collection analysis and dissemination. Identical algae cultivation systems and data analysis methodologies were established at testbed sites across the continental United States and Hawaii. Within this framework the Unified Field Studies UFS were designed to characterize the cultivation of different algal strains during all 4 seasons across this testbed network. The dataset presented here is the complete curated climatic cultivation harvest and biomass composition data for each season at each site. These data enable others to do in-depth cultivation harvest techno-economic life cycle resource and predictive growth modeling analysis as well as develop crop protection strategies for the nascent algae industry.NREL Sub award Number DE-AC36-08-GO28308

Tags: 2013-2015, algae, algal-productivities, arizona, arizona-state-university, biochemical, biofuel, biomass, cal-poly-san-luis-obispo, california, cellana, chlorella-vulgaris, continental-usa, cultivation-strategies, cultivation-trials, desmodesmus-cf-intermedius, florida, florida-algae, fuels, georgia, georgia-tech, harvest-yields, hawaii, media, modeling-and-analysis, nannochloropsis-oceanica, ohio, ponds, renewable-energy, testbed, trl-corp, ufs, unified-field-studies
Organization: Department of Energy
High Throughput Experimental Materials Database

The mission of the High Throughput Experimental Materials Database (HTEM DB) is to enable discovery of new materials with useful properties by releasing large amounts of high-quality experimental data to public. The HTEM DB contains information about materials obtained from high-throughput experiments at the National Renewable Energy Laboratory (NREL).

Tags: api, combinatorial, computational-science, database, electrical, experimental, htem, materials, optical, property, solar
Organization: Department of Energy
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 were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data.
(2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States.
(3) These data may have changed since this list was developed
(4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. 
(5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each of the elements at any point in time. Where tiers were present, the highest rate tier was assumed. The value is a maximum for the year, and may be significantly different from demand charge rates at other times in the year.
Utility Rate Database: https://openei.org/wiki/Utility_Rate_Database


Tags: battery, building-size, buildings-efficiency, charge-rates, clean-energy-group, commercial, consumption, demand-charge, distribution-capacity, electricity, energy-analysis, grid-modernization, industrial, kw, location, rate-tier, re, renewable-energy, resiliant-power-project, solar-power, statistical-analysis, storage, sunshot, tariff, united-states, utilities, utility-rate, wind-energy
Organization: Department of Energy
Electric Technology Adoption and Energy Consumption

Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrification medium electrification high electrification electrification potential and low electricity growth. Each scenario assumes moderate technology advancement as described by Jadun et al. 2017 https://www.nlr.gov/docs/fy18osti/70485.pdf.

Tags: 2017-2050, buildings, efs, electrification, electrification-futures-study, electrotechnologies, end-use-technologies, energy-transitions, industry, transportation, united-states
Organization: Department of Energy
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 spreadsheet provides data for the 2017 ATB. In this edition of the ATB, offshore wind power has been updated to include 15 technical resource groups. And, two options are now provided for representing market conditions for project financing, including current market conditions and long-term historical conditions. For more information, see https://atb.nlr.gov/.

Tags: capex, concentrating-solar-power, cost-and-performance, geothermal, hydropower, lcoe, overnight-capital-cost, photovoltaic, projection, pv, re, renewable-energy, us, wind
Organization: Department of Energy
WIND Toolkit Offshore Summary Dataset

This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:

GDB - Compressed geodatabases containing statistical summaries aligned with lease blocks (aliquots) stored in a GIS format. These data are partitioned into Pacific, Atlantic, and Gulf resource regions.

HDF5 - Statistical summaries of all points in the offshore Pacific, Atlantic, and Gulf offshore regions. These data are located on the original WIND Toolkit grid and have not been reassigned or downsampled to lease blocks.

These data were developed under contract by NREL for the Bureau of Oceanic Energy Management (BOEM).

Tags: atlantic, boem, bureau-of-oceanic-energy-management, energy-system-integration, geodatabases, gis, gulf, hd5f, offshore, pacific, re, renewable-energy, toolkit, united-states, wind, wind-integration
Organization: Department of Energy
Impact of uncoordinated plug-in electric vehicle charging on residential power demand - supplementary data

This data set is provided in support of a forthcoming paper: "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," [1].

These files include electricity demand profiles for 200 households randomly selected among the ones available in the 2009 RECS data set for the Midwest region of the United States. The profiles have been generated using the modeling proposed by Muratori et al. [2], [3], that produces realistic patterns of residential power consumption, validated using metered data, with a resolution of 10 minutes. Households vary in size and number of occupants and the profiles represent total electricity use, in watts. 
The files also include in-home plug-in electric vehicle recharging profiles for 348 vehicles associated with the 200 households assuming both Level 1 (1920 W) and Level 2 (6600 W) residential charging infrastructure. The vehicle recharging profiles have been generated using the modeling proposed by Muratori et al. [4], that produces real-world recharging demand profiles, with a resolution of 10 minutes. 

[1] M. Muratori, "Impact of uncoordinated plug-in electric vehicle charging on residential power demand." Forthcoming.
[2] M. Muratori, M. C. Roberts, R. Sioshansi, V. Marano, and G. Rizzoni, "A highly resolved modeling technique to simulate residential power demand," Applied Energy, vol. 107, no. 0, pp. 465 - 473, 2013. https://doi.org/10.1016/j.apenergy.2013.02.057
[3] M. Muratori, V. Marano, R. Sioshansi, and G. Rizzoni, "Energy consumption of residential HVAC systems: a simple physically-based model," in 2012 IEEE Power and Energy Society General Meeting. San Diego, CA, USA: IEEE, 22-26 July 2012. https//doi.org/10.1109/PESGM.2012.6344950
[4] M. Muratori, M. J. Moran, E. Serra, and G. Rizzoni, "Highly-resolved modeling of personal transportation energy consumption in the United States," Energy, vol. 58, no. 0, pp. 168-177, 2013. https://doi.org/10.1016/j.energy.2013.02.055

Tags: 2009-recs, battery, consumption, demand-response, electricity-use, grid-modernization, hybrid, midwest, pev-charging, plug-in-electric-vehicles, re, recharging, renewable-energy, residential-power-demand, smart-grid, usa
Organization: Department of Energy
Assessing Total Cost of Driving Competitiveness of Zero-Emission Trucks

This file includes supporting data on modeled medium and heavy-duty vehicle (MHDV) stock, sales, energy consumption, greenhouse gas (GHG) emissions, and total cost of driving (TCD) for the scenarios presented in "Assessing Total Cost of Driving Competitiveness of Zero-Emission Trucks". It also includes input assumptions for vehicle technology attributes (cost and fuel economy), fuel costs, maintenance costs, and the opportunity cost of charging time for the central scenario and relevant sensitivities. Values are reported at the national (United States) level for all vehicle classes and technologies. Tab 'B' inclues definitions, while data is provided in subsequent sheets. 


Tags: electric-vehicles, heavy-duty-vehicles, medium-duty-vehicles, tempo-model, zero-emission-vehicles
Organization: Department of Energy
Data Files for “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure"

This data set includes modeling results from “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure” including region-specific [i.e., national, state, and core-based statistical area (CBSA)—cities/towns] electric vehicle supply equipment (EVSE) port count requirements in 2025 and 2030 for multiple scenarios described in the study.&nbsp;Please cite as:&nbsp;Wood, E., B. Borlaug, M. Moniot, D.-Y. Lee, Y. Ge, F. Yang, and Z. Liu. 2023. The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-85654.

Tags: electric-vehicle, ev, ev-charging, evse, infrastructure, light-duty-vehicle, transportation
Organization: Department of Energy
Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data

This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar. 

Three different household-level surveys were fielded: one for households who had installed PV on their current home or had signed a contract to do so (the Adopter survey), one for households that had seriously considered PV but had not installed it (the Considerer survey), and one for the general population who did not have PV on their current home (the general population survey or GPS).  Survey respondents were from four U.S. states: New Jersey, New York, Arizona, and California.  Details of recruiting and sampling are documented below.  

Research projects on residential PV adoption often collect data only from PV adopters or from the general population. One of the innovations of this project was the three-pronged household survey data collection. By collecting similar data from three fairly different "statuses" with respect to adoption, the surveys provide a basis for understanding how those who do not have rooftop PV differ from those who have, for how and why people do (or don't) transition from not having to having rooftop PV on their home, and for understanding the characteristics and viewpoints of households who have scarcely, or not at all, entered the "PV consideration" track. All three surveys covered single-family owner-occupied households in each of the four target states used in the project -- Arizona, California, New Jersey, and New York -  allowing a comparative approach to understanding how the factors that affect PV adoption vary by geography and policy conditions. 

The General Population and Considerer surveys provide a basis for understanding opinions about and interest in solar, and how these relate to household demographics and other conditions. Paired with the Adopter survey, they also provide data for understanding how those who do not have rooftop PV differ from those who have, and for how and why people do (or don't) transition from not having to having rooftop PV on their home. The Adopter survey questions were designed to capture a broad range of information on what motivates and impedes households to install rooftop PV, as well as the details and timing of the decision and installation. Survey instrument development drew from existing PV adoption survey instruments, PV adoption literature, and research team experience, as well as from past work on household interest in energy efficiency, environmental attitudes, purchasing tendencies, and related knowledge. Early interviews and discussions with installers and others in the PV industry were also taken into consideration. 

Tags: arizona, california, customer, geographic-consideration, new-jersey, new-york, pv, pv-consideration, residential-solar, rooftop, seeds, solar-adoption, solar-photovoltaic, surveys, technology-adoption, usa
Organization: Department of Energy
An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030

Output data from an NREL report entitled "An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030"  (NREL/TP-6A20-67675), which analyzes the spatial variation of levelized cost of energy (LCOE) and levelized avoided cost of energy (LACE) to understand the economic potential of fixed-bottom and floating offshore wind technologies across more than 7,000 U.S. coastal sites between 2015 and 2030.

Tags: 2015-2030, coastal, cost-reduction, economic, economic-potential, fixed-bottom, floating, floating-offshore, lace, lcoe, levelized-avoided-cost-of-energy, levelized-cost-of-energy, offshore, usa, wind, wind-technologies
Organization: Department of Energy
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 EPA default emissions factors to reported fuel use by fuel type. Additional facility information is included with calculated combustion energy values, such as industry type (six-digit NAICS code), location (lat, long, zip code, county, and state), combustion unit type, and combustion unit name. 

Further identification of combustion energy use is provided by calculating energy end use (e.g., conventional boiler use, co-generation/CHP use, process heating, other facility support) by manufacturing NAICS code. Manufacturing facilities are matched by their NAICS code and reported fuel type with the proportion of combustion fuel energy for each end use category identified in the 2010 Energy Information Administration Manufacturing Energy Consumption Survey (MECS, http://www.eia.gov/consumption/manufacturing/data/2010/). MECS data are adjusted to account for data that were withheld or whose end use was unspecified following the procedure described in Fox, Don B., Daniel Sutter, and Jefferson W. Tester. 2011. The Thermal Spectrum of Low-Temperature Energy Use in the United States, NY: Cornell Energy Institute.


Tags: combustion, end-use, greenhouse-gas, heat, industry, low-temperature-energy, manufacturing, thermal, united-states
Organization: Department of Energy
Grid Connected Functionality

Dataset demonstrating the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the-loop (HIL) implementation, simulated homes along with a physical laboratory home are coordinated via a grid aggregator, and it is shown that their aggregate response has the potential to follow the regulation signal on a timescale of seconds. Connected (communication-enabled), devices in the National Renewable Energy Laboratory's (NREL's) Energy Systems Integration Facility (ESIF) received demand response (DR) requests from a grid aggregator, and the devices responded accordingly to meet the signal while satisfying user comfort bounds and physical hardware limitations.

Tags: aggregator, building-to-grid, colorado, connected-appliances, electricity, energy-systems-integration-facility, esif, frequency-regulation, golden, home-energy-management, power-grid, residential-buildings, volttron
Organization: Department of Energy
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 in a building (data from sensors being evaluated are not included in this data set). 

SPL contains three homes, each with a set of major appliances and outlets for minor appliances and electronics. Every circuit has a dedicated power meter. The lab can be used for a range of different types of projects, such as evaluating innovative sensors and controls, investigating the performance of home energy management systems, looking at the impact of demand response programs on individual appliances, and integrating renewable generation and energy storage with residential buildings. 


Tags: air-conditioner, appliances, buildings, clothes-dryer, clothes-washer, demand-response, dishwasher, energy-management, energy-systems-integration-facility, esif, lights, oven, power-meter, range, refrigerator, residential, submetering
Organization: Department of Energy
U.S. PV-Suitable Rooftop Resources

This dataset contains zipcode resolution estimates of suitable area on small (1,000-5,000 m^2), medium (5,000-10,000 m^2) and large (>10,000 m^2) buildings' rooftops for PV deployment. 


Tags: photovoltaic, prediction, pv, re, renewable-energy, resource, rooftop, solar, usa, zipcode
Organization: Department of Energy
Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections 2015 Edition

This is the fourth edition in an annual briefing prepared jointly by LBNL and NREL intended to provide a high-level overview of historical, recent, and projected near-term PV system pricing trends in the United States. The briefing draws on several ongoing research activities at the two labs, including LBNL's annual Tracking the Sun report series, NREL's bottom-up PV cost modeling, and NREL's synthesis of PV market data and projections. The briefing examines progress in PV price reductions to help DOE and other PV stakeholders manage the transition to a market-driven PV industry, and integrates different perspectives and methodologies for characterizing PV system pricing, in order to provide a broader perspective on underlying trends within the industry.

Tags: photovoltaic, pv, re, renewable-energy, solar-energy, system-cost, system-price
Organization: Department of Energy
WEC-Sim Wave Energy Converter Simulator

WEC-Sim (Wave Energy Converter SIMulator) is an open-source wave energy converter (WEC) simulation tool.

The code is developed in MATLAB/SIMULINK using the multi-body dynamics solver SimMechanics. WEC-Sim has the ability to model devices that are comprised of rigid bodies, power-take-off systems, and mooring systems. Simulations are performed in the time-domain by solving the governing WEC equations of motion in 6 degrees-of-freedom. The WEC-Sim project is funded by the U.S. Department of Energy's Wind and Water Power Technologies Office and the code development effort is a collaboration between the National Renewable Energy Laboratory (NREL) and Sandia National Laboratories (SNL). 

Tags: energy-conversion, hydro, kenetic, matlab, power-take-off-system, sandia, simulation, simulation-tool, simulink, snl, software, water-power, wave-energy, wec-sim, wind-and-water
Organization: Department of Energy