New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per specified physical unit for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per million Btu for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration. How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

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

Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2022: Annual Supplement to NIST Handbook 13Starting in the 2022 Annual Supplement to Handbook 135, the data tables within the text document has been extracted and provided in a supplemental spreadsheet. The reasons for creating a separate data file is to (1) make the text document smaller and easier to navigate, (2) provide the data in a format that is more accessible to a user, particularly those that want to incorporate the data tables into their own calculations or tools, and (3) streamline the process for the annual release of the data.There are numerous data sources used in developing these data tables, including EIA, OMB, and Federal Reserve. Process is discussed in Annual Supplement to Handbook 135.

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

Total estimated annual dollar value of utility discounts for businesses approved for ECSP benefits during the fiscal year.

Analysis of ‘Energy Prices, Dollars per Million Btu: Beginning 1970’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3b8aba60-a0af-4bbd-9aa2-cb912db8af29 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per million Btu for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

--- Original source retains full ownership of the source dataset ---

This dataset includes results from the MARKAL model. A technology that generates electricity from a combination of solar and natural gas energy, called ISCC, is evaluated. Results include electricity generation mixes and emissions projections. This dataset is associated with the following publication: Brown, K., and D. Loughlin. Market Sensitivity of Solar-Fossil Hybrid Electricity Generation to Price, Efficiency, Policy, and Fuel Projections. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 21(3): 591-604, (2019).

Gasoline prices averaged $3.411 per gallon in the Washington-Arlington-Alexandria area in February 2024,area gasoline prices decreased 1.9 percent from last February when they averaged $3.477 per gallon. Washington area households paid an average of 15.6 cents per kilowatt hour (kWh) of electricity in February 2024, 2.6 percent higher than the 15.2 cents in February 2023. The average price of utility (piped) gas at $1.432 per therm in February 2024 was down 21.8 percent from $1.831 per therm a year earlier.

This API provides data back to 1990 and projections annually, monthly, and quarterly for 18 months. Summarizes the outlook for prices of petroleum, natural gas, electricity and coal. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

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 table groups Austin Energy customers into four classes: residential, commercial, industrial, and lighting (public street/highway and other). View the annual rates in cents per kWh by customer class starting in 2006. Learn more about Austin Energy’s rates at http://austinenergy.com/wps/portal/ae/rates.

Section 54 of the Internal Revenue Code (IRC) describes regulations for the issuance and use of clean renewable energy bonds (CREBs). The following table of maturities and rates specify the appropriate credit rates for the specified maturities under this program.

In 2022/23, the government of the United Kingdom spent approximately 20 billion British pounds on the energy price guarantee policy, the most out of any other support policy announced to combat the Cost of Living crisis.