Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 data. Data contained in a zip file. The zip file contains generator-specific information such as initial date of commercial operation, prime movers, generating capacity, energy sources, status of existing and proposed generators, proposed changes to existing generators, county and State location (including power plant address), ownership, and FERC qualifying facility status. The file also includes data on the ability to use multiple fuels; specifically, data on co-firing and fuel switching are included.

Annual U.S. generator level data about generators at electric power plants owned and operated by electric utilities and nonutilities (including independent power producers, combined heat and power producers, and other industrials). Based on EIA Form-860 d

Annual data back to 2003 at the national level for electricity generation; capacity; consumption and cost of fossil fuels; sales, price and revenue; emissions; demand-side management; and operating revenues, expenses, and income. Based on Form EIA-860 and Form EIA-861 data.

“Physical Distancing Capacity” levels have varied through different levels of restrictions due to different physical distancing advisory. This dataset contains two resources documenting historical physical distancing capacity levels and corresponding occupancy statuses. A more detailed description for each resource is provided below. These two resources are related but not completely consistent due to different practical implementation constraints.

Insecticide Two insecticides were used in this study: an existing formulation (tradename: Diacon IGR+ R ; Central Life Sciences, Schaumberg, IL, USA), and a new formulation with synergist (tradename: Gravista ). Diacon IGR+ contains 11.4% methoprene and 4.75% deltamethrin, with a label rate of 0.12 kg AI/L and 0.05 kg AI/L. The label rate as a residual surface treatment gives a range of 28.5 mL AI/L−171 mL AI/L H2O to cover 94 m2 for both compounds. We used the maximum labeled rate of 24 mg AI/m2 for deltamethrin and 57 mg AI/m2 for methoprene. This corresponded to 0.3 ml of the formulation in 25 ml H2O, sprayed at the rate of 0.3 ml per 50.3 cm2 arena, using an artist’s air brush (Badger 100 series, Badger Corporation, Franklin Park, IL, US) for each treatment. Each replicate was evenly applied to the concrete dish using a compressor pump. The new Gravista formulation has one labeled rate of 684 ml formulation/L H2O to cover 92.9 m2. To achieve this, we mixed 0.5 ml of the new formulation in 10 ml H2O. This was sprayed at the same rate as the other compound. Distilled water was used for the control arenas at 0.3 mL per arena. The arenas were given 8 h to dry prior to use in experiments. Insects (20 of each species per replicate) were exposed on the insecticide-treated petri dishes for either 4 or 24 h. After exposure, individual Prostephanus truncatus and Sitophilus zeamais were removed and placed into clean Petri dish arenas and evaluated for condition. Using a stereomicroscope (SMZ-18, Nikon Inc., Tokyo, Japan) under 60× magnification, P. truncatus and S. zeamais were classified as alive (moving normally, is able to right itself when flipped over, no twitching), affected (moving sluggishly or erratically, unable to right itself, twitching of antennae or legs may be present), or dead (completely immobile even after prodding) according to prior published definitions (Ranabhat et al., 2022). Dispersal and Mortality To test dispersal capacity to new food patches, a dispersal apparatus was employed. Species-specific cohorts of 20 adults (P. truncatus or S. zeamais) were exposed to Gravista, IGR+, or an untreated control as above for 4 or 24 h, then given 48 h to disperse across 30 or 70 cm standardized sections of PVC pipe (3.175 cm ID). After exposure to insecticide formulations, insects were evaluated for condition after exposure before placing them in the dispersal apparatus. The ends of both sides of the PVC pipe were sealed with mesh (425 μm) to prevent escape. At the far end of the pipe, a hole (2 cm D) was drilled and centered over a glass jar (5 × 6.5 cm D:H) to create a pitfall trap design. The glass jar contained 20 g of whole maize kernels, representing a novel food patch, to induce insects to disperse with food kairomones. Untreated, clean, and uninfested yellow maize was used in the experiments. Grain was sourced from Heartland Mills (Marienthal, KS, USA), and frozen for 72 h prior to use to ensure no prior insect infestation was present. At the end of the sampling period, the number of insects in the jar and their mortality was scored as alive, affected or dead. In addition, the position of each individual was recorded as residing in zone 1 (at the release point), zone 2 (in first half of tube), zone 3 (in second half of tube), or zone 4 (collection jar with maize). In total, there were n = 12 replicate cohorts for each species and combination of distance and treatment. In total, 1,440 P. truncatus and 1,440 S. zeamais were tested in this experiment.

Abstract: Presentation of EDF Renewables' installed solar capacity, with two visions: Raw capacities (total capacities of the solar farms in which EDF Renewables has a stake). Net capacities (capacities corresponding to the stake held by EDF Renewables).

Abstract: Presentation of EDF Renewables' installed wind capacity, with two visions: Raw capacities (total capacities of the wind farms in which EDF Renewables has a stake). Net capacities (capacities corresponding to the stake held by EDF Renewables).

Abstract: Energy mix of the EDF Group's installed capacities worldwide (countries in which EDF is present). Units are expressed either in MWe, which corresponds to electrical power, or in MWth, which corresponds to heat power. Data consolidated according to EDF's shareholding in Group companies, including investments in associates and joint ventures. Detailed description: EDF is a Group comprising a number of companies and affiliates. To consult the simplified organization chart of the Group, click here. Also, when we want to get an overall view of the Group's energy production, for example, we have to carry out what is called a consolidation of all our affiliates’ production. For this purpose, two consolidation methods are possible: Consolidation by full integration Only the affiliates over which EDF has control are consolidated. In this financial approach, subsidiaries are consolidated at 100%, regardless of their ownership rate. Entities over which EDF does not have control are therefore not consolidated at all. Net consolidation (or sometimes called Patrimonial) All affiliates are consolidated, provided that EDF holds a stake in them. They are then consolidated according to EDF's share of ownership.

Abstract: Energy mix of EDF Group's installed capacity by country. Units are expressed either in MWe, which corresponds to electrical power, or in MWth, which corresponds to heat power. Data consolidated according to EDF's shareholding in Group companies, including investments in associates and joint ventures. Detailed description: EDF is a Group comprising a number of companies and affiliates. To consult the simplified organisation chart of the Group, click here. Also, when we want to get an overall view of the Group's energy production, for example, we have to carry out what is called a consolidation of all our affiliates’ production. For this purpose, two consolidation methods are possible: Consolidation by full integration (not for this dataset, click here) Only the affiliates over which EDF has control are consolidated. In this financial approach, subsidiaries are consolidated at 100%, regardless of their ownership rate. Entities over which EDF does not have control are therefore not consolidated at all. Net consolidation (or sometimes called Patrimonial) All affiliates are consolidated, provided that EDF holds a stake in them. They are then consolidated according to EDF's share of ownership.

Annual data on electricity generating capacity, electricity generation and useful thermal output, fuel receipts, fuel stocks, sales, consumption, and emissions in the United States. Based on Form EIA-861 and Form EIA-860 data. Annual time series extend back to 1994.

Monthly, quarterly, and annual data on electricity generation, consumption, retail sales, price, revenue from retail sales, useful thermal output, fossil fuel stocks, fossil fuel receipts, and quality of fossil fuel. Data organized by fuel type, i.e., coal petroleum, natural gas, nuclear, hydroelectric, wind, solar, geothermal, and wood. Also, data organized by sector, i.e., electric power, electric utility, independent power producers, commercial, and industrial. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering 2 days ahead to 14 days ahead; it is aggregated by Fuel Types categories.

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 weeks ahead to 156 weeks ahead; it is aggregated by Fuel Types categories.

This calculator is a handy tool for interested parties to estimate two key life cycle metrics, fossil energy consumption (Etot) and greenhouse gas emission (ghgtot) ratios, for geothermal electric power production. It is based solely on data developed by Argonne National Laboratory for DOE's Geothermal Technologies office. The calculator permits the user to explore the impact of a range of key geothermal power production parameters, including plant capacity, lifetime, capacity factor, geothermal technology, well numbers and depths, field exploration, and others on the two metrics just mentioned. Estimates of variations in the results are also available to the user.

This data provides the underlying project-level analysis and data sources complied in response to the DOE request to determine the amount of geothermal capacity that could be available to meet the President's request to double renewable energy capacity by 2020. The enclosed data contains compiled data on individual project names and locations (by geothermal area and region), ownership, estimated nameplate capacity, and project status, and also contains inferred data on the barriers and viability of the project to meet a 2020 development timeline. The analysis of this data is discussed in the attached NREL report.

This data submission includes several data components that were used to develop a conceptual model and power capacity-estimates of two low-temperature geothermal resources that define geothermal prospect A at Hawthorne, Nevada. Data are sourced from a combination of legacy publicly-available data and more recent data acquisition conducted by the US Navy Geothermal Program Office (2008-2013) and the Great Basin Center for Geothermal Energy at the University of Nevada, Reno (2008-2010). Data sets include compiled fluid geochemistry data, down-hole temperature logs for wells in the vicinity of prospect A, 2 meter temperature survey data, temperature-spinner logs acquired in well HWAAD-2A, fracture picks from image log data acquired in wells HWAAD-2 and HWAAD-3, and X-Ray Diffraction (XRD) analyses on cuttings from wells HWAAD-2A and HWAAD-3. These data have been reviewed for errors and inconsistencies, but it is possible that few errors could still remain. The resource conceptual model and power capacity estimates are included in the final report to the US Department of Energy, and are presented in a manuscript by Ayling and Hinz. A link to the manuscript published in Geothermics is linked below in this submission.

This dataset contains India’s installed capacity for renewable energy (RES, including small hydro, wind, solar, bioenergy) by state and by month, starting from March 2019. The dataset also contains data that were used to create charts in the Indian State RES Target and Progress Tracker which tracks the monthly progress of Indian states and union territories (UTs) on their 2022 targets for renewable energy (RES)

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering 2 days ahead to 14 days ahead. The data is aggregated at national level.

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 weeks ahead to 156 weeks ahead. The data is an aggregation of all Fuel Type categories at national level.

Natural Gas Processing PlantsThis feature layer, utilizing data from the Energy Information Administration (EIA), depicts the daily capacity (Million Cubic Feet per Day (MMcf/d)) of natural gas processing plants in the U.S. Per EIA, "Processing plants are midstream facilities that separate natural gas liquids (NGL) from natural gas. Some natural gas processing plants remove water and other contaminants from the raw natural gas stream and separate NGL streams into component products."Natural Gas Processing PlantsData currency: This cached Esri service is checked monthly for updates from its federal source (Natural Gas Processing Plants)Data modification: NoneFor more information, please visit: Natural Gas; Natural Gas ExplainedFor feedback: ArcGIScomNationalMaps@esri.comEnergy Information AdministrationPer EIA, "The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment."

Stop time updates for active trips, replacement vehicles, and changed stopping patterns in GTFS-realtime format for Buses, Ferries, Light Rail, Trains, Metro and Regional Bus Services (our regional services are at times referenced as "TCB" - Transport Connected Bus). An up to date list of all TCB services can be found [on the forum](https://opendataforum.transport.nsw.gov.au/t/new-real-time-regional-bus-data-is-now-available/2060).

Stop time updates for active trips, replacement vehicles, and changed stopping patterns in GTFS-realtime format for Metro and Sydney Trains.

Create your own personal public transport trip planner. APIs interact with the transportnsw.info trip planner and provide the ability for NSW public transport trip planning, departure board, travel alerts, real-time transport services and walk and drive legs. Trip Planner API to interact with the Transport for NSW trip planner. This allows users to search for trips, stops, service alerts, places of interest. The Trip Planner API offers five different endpoints: Stop Finder, Trip Planner, Departure, Service Alerts and Coordinate Request APIs. You can find more information about each of these below. Before you start using the API, we encourage you to read all available documentation at [https://opendata.transport.nsw.gov.au/documentation#9](https://opendata.transport.nsw.gov.au/documentation#9) For tips and tricks please visit our Troubleshooting page at [https://opendata.transport.nsw.gov.au/troubleshooting](https://opendata.transport.nsw.gov.au/troubleshooting)

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 days ahead to 14 days ahead; it is aggregated by National Grid Balancing Mechanism Units (NGC BMUs). In the context of this report, BMUs can be considered as generating units. Elexon BMUs differs from NGC BMUs by including a prefix e.g. 'T_'. The mapping between NGC and Elexon BMUs can be retrieved via reference data API endpoints.

This endpoint forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 weeks ahead to 156 weeks ahead; it is aggregated by Balancing Mechanism Units (BMUs). In the context of this report, BMUs can be considered as generating units. Elexon BMUs differs from NGC BMUs by including a prefix e.g. 'T_'. The mapping between NGC and Elexon BMUs can be retrieved via reference data API endpoints.

This submission presents results and observations from a series of surveys of US municipal desalination plants conducted during the last 20 years. The surveys were conducted to determine the number, characteristics, and concentrate disposal practices of US desalination plants. Each survey was intended to identify and contact each US plant that produces 25,000 gpd or more. This cutoff eliminated smaller plants that serve truck stops, mobile home parks, hospitals, campgrounds, etc. Succeeding surveys did not undertake to recontact all previously contacted plants but focused primarily on plants built since the initial survey.

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 developments in 2021, this report explores trends in deployment, technology, capital and operating costs, capacity factors, the levelized cost of solar energy (LCOE), power purchase agreement (PPA) prices, wholesale market value, and interconnection queue data.