CorrentlyEnergy APIs

CO2 Advisor

The CO2 Advisor API provides real-time insights into the carbon footprint per kilowatt-hour of electricity for various locations in Germany. By inputting a postal code, users receive a 24-hour forecast detailing CO2 emissions and energy consumption advice. The API is designed to help optimize electricity usage, particularly for activities like charging electric vehicles or shifting energy-intensive tasks to periods with a lower carbon footprint.

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Key Features

  • 24-Hour Forecast: Access hourly data on CO2 levels, helping users plan energy consumption more efficiently.
  • Traffic Light System: The API offers advice on energy use based on CO2 levels—green (increase load), yellow (maintain load), and red (decrease load)—to help minimize environmental impact.
  • Location-Specific Data: Results are tailored to individual cities or villages in Germany, using postal codes for precise location targeting.
  • User Guidance: Provides actionable insights to reduce CO2 emissions, improving sustainability in energy consumption practices.

Designed for

  • This API is ideal for individuals, businesses, and energy management applications seeking to align energy use with greener times of day, reduce carbon footprints, and improve sustainability practices.

CO2 Meter API

The CO2 Meter API enables precise tracking of CO2 emissions associated with electricity consumption at specific locations, identified by their postal code. This API delivers real-time CO2 readings, along with a 24-hour forecast of renewable energy contributions, energy prices, and CO2 emissions for both standard and green energy sources. Designed for ESG reporting, particularly Scope 2 emissions, it provides essential data for utilities, businesses, and energy service providers to monitor and minimize their carbon footprint. By integrating this API, users can optimize energy consumption decisions based on CO2 emissions and enhance sustainability efforts.

 Documentation

Key Features

  • Location-based CO2 Emission Tracking: Monitors the carbon footprint of electricity consumption based on the user's specific location in Germany (postal code).
  • Real-time CO2 Readings: Provides up-to-date CO2 emission values based on the latest meter reading, allowing for accurate carbon tracking.
  • ESG Reporting Support: Tailored for Scope 2 emissions reporting, helping businesses comply with Environmental, Social, and Governance (ESG) requirements.
  • 24-hour Forecast: Includes a forecast of renewable energy availability, energy prices, and CO2 emissions, enabling users to plan energy consumption during periods of lower carbon intensity.

Designed for

  • Businesses and Corporations: To support ESG (Environmental, Social, and Governance) reporting, particularly Scope 2 emissions tracking for electricity consumption, enabling carbon footprint reduction strategies.
  • Energy Service Providers: Assisting in offering tailored energy management solutions to clients by integrating CO2 tracking and renewable energy optimization features.
  • Utilities and Energy Providers: For monitoring, reporting, and optimizing carbon emissions linked to electricity supply, helping improve energy scheduling and sustainability efforts.
  • Sustainability Consultants: For helping organizations track and reduce their carbon footprint, and optimize energy consumption using real-time CO2 emissions data.
  • Smart Home and IoT Developers: Integrating CO2 metering into home automation systems, enabling smarter energy use decisions based on real-time emissions data.

Energy Schedule API

The Energy Schedule API enables intelligent control of energy-consuming devices by providing optimized operation schedules based on real-time grid conditions, prices, and environmental factors. Whether you're charging electric vehicles, managing heat pumps, or controlling industrial processes, our API helps you optimize energy consumption for cost, sustainability, and efficiency.

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Key Features

  • 🔋 Smart Scheduling
    • Optimize device operation based on electricity prices
    • Maximize solar energy utilization
    • Minimize CO2 emissions
    • Balance grid stability and comfort

  • Flexible Control
    • Schedule up to 36 hours in advance
    • Adjust operations in real-time
    • Track energy consumption
    • Monitor schedule progress
  • 🌍 Multiple Optimization Goals
    • Price Mode: Run devices when electricity is cheapest
    • Solar Mode: Align usage with solar generation peaks
    • Emission Mode: Minimize carbon footprint
    • Comfort Mode: Balance efficiency with user needs

Designed for

  • Electric Vehicle Charging Systems
  • Heat Pump Controllers
  • Home Energy Management Systems
  • Industrial Load Management
  • Smart Building Automation

Easy integration

# Create a schedulecurl -X PUT "https://api.corrently.io/v2.0/gsi/schedule" \
-H "Content-Type: application/json" \
-d '{
"zip": "69168",
"requirements": {
"law": "price",
"activeHours": 8
}
}'

GrünstromIndex

The GrünstromIndex API provides real-time and forecast data on the availability of renewable energy (green power) in the electricity grid. By delivering hourly updates for specific locations, the API enables users to track the percentage of renewable energy (from wind, solar, and other sources) and CO2 emissions. This allows for optimizing energy consumption, reducing carbon footprints, and potentially minimizing energy costs. The API offers support for energy management systems, businesses, and individuals seeking to align their energy usage with greener periods.

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Key Features

  • Hourly Green Energy Forecasts: The API provides forecast data for each hour, helping users to understand the expected share of renewable energy in the grid. This includes data on wind and solar energy, as well as the overall percentage of green energy (GrünstromIndex value).
  • CO2 Emissions: For each forecast period, the API delivers CO2 emissions data in grams per kWh, both for the standard electricity mix and for green energy (Ökostrom). This enables users to monitor and manage their carbon footprint in real time.
  • Energy Pricing: Users can retrieve dynamic energy prices per kWh, allowing businesses and individuals to align their energy consumption with periods of lower energy prices, especially during times when renewable energy is more abundant.
  • Location-Specific Data: The API is designed to provide forecasts based on location, with ZIP code and city data included in the forecast. This location-based approach ensures accurate and tailored forecasts for different regions.
  • Data Integrity: The API includes digital signatures for verifying the authenticity and integrity of forecast data, ensuring that the data has not been tampered with and is reliable for decision-making.

Designed for

  • Energy Optimization: Energy management systems can use the forecast data to schedule energy-intensive activities during periods of higher green energy availability, reducing reliance on fossil fuels and lowering CO2 emissions.
  • Sustainable Business Practices: Companies aiming to achieve sustainability goals can utilize the GrünstromIndex data to ensure that their energy usage is aligned with the highest availability of renewable energy, thus decreasing their overall environmental impact.
  • Cost Savings: By taking advantage of dynamic energy pricing, businesses and consumers can lower their energy bills by aligning consumption with times of lower energy prices, which often coincide with higher renewable energy supply.

Hintergrundinformation in Deutscher Sprache.

Marketdata

Provides real-time and forecasted electricity pricing data for both the general market and localized regions, based on ZIP codes. This API is designed to offer valuable insights into energy costs, making it a powerful tool for energy-conscious consumers, businesses, and developers working with energy management systems.

 Documentation

Key Features

  • Localized Electricity Prices: Retrieve electricity prices specific to a region by simply providing a ZIP code, offering insight into how prices vary geographicall
  • Market Prices: Access general market prices for electricity (EUR/MWh) to compare with localized data and gain a broader market perspective.
  • Time-based Price Data: Get electricity prices for specific time intervals with timestamps, allowing for time-sensitive energy optimizations.
  • Support for Energy Optimization: Leverage local and market pricing data for cost-saving opportunities and demand response strategies.
  • Real-time & Forecasted Data: The API provides data for current and upcoming intervals, helping users optimize their energy usage.

Designed for

  • Energy Management Providers: Use the API to offer smarter energy solutions for residential or commercial customers by incorporating real-time pricing data.
  • Renewable Energy Companies: Integrate localized price data into scheduling and optimization tools for solar or wind power consumption.
  • Smart Home Developers: Enable smarter energy management by dynamically adjusting home appliances or energy storage systems based on current or forecasted electricity prices.
  • Businesses & Enterprises: Optimize energy consumption strategies by using the API to track electricity prices and adjust usage accordingly to save costs.

PHEV Charge Or Fuel

The PHEV Charge Or Fuel API is a decision-making tool designed for Plug-in Hybrid Electric Vehicle (PHEV) drivers in Germany. This API helps drivers optimize their energy choices by comparing the costs and CO2 emissions of fueling versus charging. By providing real-time fuel prices, electricity costs, and environmental data, the API empowers users to make informed decisions that can save money and reduce their carbon footprint.

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Key Features

  • Real-Time Fuel Price Data: Access live fuel prices from local stations, including the station’s name, brand, and address.
  • Electricity Pricing: Get the average electricity cost per kWh for your location.
  • CO2 Emissions Comparison: Understand the environmental impact by comparing CO2 emissions for fuel and electricity consumption.
  • Price and CO2-Based Recommendations: The API provides clear advice on whether charging or fueling is the better option based on cost and emissions.

Designed for

  • PHEV Drivers in Germany: Individuals who want to optimize their driving choices between charging and fueling.
  • Sustainability-Conscious Drivers: Drivers aiming to minimize their carbon footprint by understanding the CO2 impact of their decisions.
  • Fleet Managers: Businesses managing PHEV fleets that want to track and reduce fuel costs and emissions for their vehicles.
  • Developers: Application developers who want to integrate real-time fuel and electricity data into their mobility, navigation, or energy optimization solutions.

Photovoltaic Generation Forecast 

Designed for seamless integration, this API supports utilities and energy service providers in safely optimizing energy flows, particularly in the context of energy storage systems (ESS) and counter-trading strategies using regional renewable energy sources. By incorporating these forecasts, operators can improve energy scheduling, enhance grid stability, and optimize the use of solar energy at both local and regional levels.

 Documentation

Key Features

  • Location-Based Energy Data: Provides solar energy production data for specific geographic locations using latitude, longitude, and postal codes.
  • Hourly Energy Forecasts: Delivers energy production forecasts on an hourly basis, helping users optimize energy usage and plan consumption around peak production times.
  • Loss Calculations: Includes calculations for energy losses due to factors like shading, efficiency loss, and system degradation, giving a more accurate picture of actual energy yield.
  • Customizable Technology Inputs: Allows users to input specific solar technology details (e.g., crystalline silicon), panel tilt angle, azimuth, and wattage to tailor energy production estimates to their exact setup.

Designed for

  • Utility Companies and Energy Aggregators: Organizations managing energy flows from multiple renewable sources who want to track, analyze, and report energy production by location.
  • Homeowners with Solar Panels: Individuals who have solar installations and want to monitor energy production, optimize usage, and track their environmental impact.
  • Sustainability-Conscious Drivers: Drivers aiming to minimize their carbon footprint by understanding the CO2 impact of their decisions.
  • Renewable Energy Enthusiasts: Users interested in tracking energy generation and making decisions based on real-time data to minimize their carbon footprint.
  • Solar Installation Companies: Companies that install solar panels and want to provide their customers with detailed data on energy production and system performance.

Renewable Energy Dispatch

The Renewable Energy Dispatch API provides detailed insights into the flow and composition of renewable energy for a specified city in Germany, identified by its postal code. The API returns data on the energy mix (e.g., biomass, solar, wind), historical trends, and the origin and destination of energy flows between different locations. This data is useful for analyzing energy distribution and consumption patterns at both local and regional levels, helping users optimize energy use and understand their reliance on specific renewable sources.

 Documentation

Key Features

  • Energy Mix Breakdown: Provides a detailed percentage-based breakdown of renewable energy sources (e.g., solar, wind, biomass, etc.) contributing to the local energy supply.
  • Energy Dispatch Tracking: Displays where energy is being sourced from and where it is delivered to, including percentages of energy flows between cities.
  • Geospatial Data: Includes geographic coordinates of energy sources and dispatch locations for map-based analysis and visualizations.
  • City/Postal Code-Based Queries: Users can request data for specific cities by entering the postal code, making the API easy to use for localized energy analysis.

Designed for

  • Energy Providers and Utilities: To optimize energy dispatch and understand renewable energy contributions for grid management.
  • Urban Planners: To analyze energy consumption patterns and improve city infrastructure planning based on local renewable energy availability.
  • Environmental Analysts: To monitor and report on renewable energy usage and carbon reduction efforts at a local or regional level.
  • Sustainability Managers: To track energy flows and ensure organizations are sourcing renewable energy in line with their sustainability goals.

Strommix API

The Strommix API offers comprehensive data on the electricity generation mix in Germany, covering various renewable and non-renewable sources like biomass, solar, wind, and fossil fuels. Users can specify a period (e.g., last month, last 7 days) or define custom time ranges to retrieve data on the total production volume, as well as detailed contributions from each energy type. This data helps users analyze Germany's energy production trends over time, monitor the proportion of renewables versus fossil fuels, and understand shifts in the energy mix for sustainable energy planning and reporting.

 Documentation

Key Features

  • Detailed Energy Mix Data: Provides the breakdown of energy sources, including biomass, solar, wind (onshore/offshore), nuclear, various fossil fuels, and other renewables.
  • Customizable Time Periods: Allows users to select predefined time ranges (e.g., last month, last 7 days) or set custom date ranges for specific insights.
  • Total Production Output: Returns the total energy production for the specified period, with individual source contributions shown in both absolute and percentage terms.
  • Timestamped Data: Each response includes a timestamp, ensuring users can track when the data was generated.

Designed for

  • Energy Analysts and Researchers: To study trends in Germany's electricity mix over time, assess the impact of renewable energy policies, and identify shifts in energy sources for reporting and academic research.
  • Utility Companies and Grid Operators: To monitor the energy mix in real time, optimize power distribution based on the availability of renewable resources, and manage grid stability by adjusting supply sources.
  • Sustainability Consultants and Environmental Organizations: To track Germany’s renewable energy usage, evaluate the carbon footprint of energy sources, and develop strategies or reports promoting sustainable energy practices.
  • Developers of Energy Management Solutions: To integrate real-time energy mix data into applications for businesses or consumers aiming to optimize energy usage and reduce carbon footprints.

Corrently Token API

The Corrently Token API is a service that provides access tokens for working with authenticated requests to the Corrently API. This API supports token-based authentication for all Corrently API endpoints. It includes a Node.js-based sample implementation in the corrently-api package that performs the token request for you.

 Documentation