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Default Time Series

Default Time Series

The ETA (Engineering Time Series Analyzer) contains already prepared standard time series and typical days. By default, they are stored under C:\Program Files\TOP-Energy $Version$\Time-Series-Projects. These time series can be loaded via the Open default time series split button of the New time series group in the Project ribbon (see following figure).

You can choose between

  • Default load profiles for electrical power and
  • Electricity price data.

Default Load Profiles for Electrical Power

The Default load profiles for electrical power contain German

  • Standardized annual load profiles for 2020-2026 (with 15 min and 1 h time increments), and

These folders contain time series for:

  • G0 – Commercial common: Business in General
  • G1 – Commercial on weekdays 8-18: Business on weekdays 8 to 18 o’clock
  • G2 – Commercial with severe to predominant usage in the evenings
  • G3 – Commercial continuously
  • G4 – Shop or barber
  • G5 – Bakery with baking room
  • G6 – Commercial on weekend
  • H0 – Household
  • L0 – Farms
  • L1 – Farms with dairy or animal breeding as sideline
  • L2 – Remaining farms

The selection for typical days looks like this in the Windows explorer:

The profiles contain data for commercially typical Saturdays, Sundays, and working days in summer, winter, and during the transition periods (spring/autumn) see following figure of the ETA Project explorer.

The time increment of these profiles is 15 minutes. Thus each typical day contains 96 time points.

In ETA, an individual (annual) load profile can be easily generated from typical day data by time series synthesis with typical days.

Electricity Price Data

The Electricity price data stored include balancing power market prices and day-ahead market prices at hourly and quarter-hourly intervals, as well as standard time series for CHP surcharge entitlements.

Day-ahead market prices for 2019 through 2025 are available for the following bidding zones:

  • Anrainer Germany Luxembourg
  • Austria,
  • Belgium
  • Czech Republic,
  • Denmark, Zone 1 and 2,
  • France,
  • Germany and Luxembourg,
  • Hungary,
  • Italy (north)
  • Netherlands,
  • Norway, Zone 2,
  • Poland,
  • Slovenia,
  • Sweden, Zone 4, and
  • Switzerland.

The source of the default time series Day-ahead_Electricity_Price is Bundesnetzagentur | SMARD.de. The time series are packed into the Day-ahead_Electricity_Price_2019.eta through Day-ahead_Electricity_Price_2025.eta files.

In the Electricity price data, there are ETA projects on the Balancing power market of the years 2022 through 2025 (Balancing_power_market_2025.eta etc.), which contain the power prices for manual Frequency Restoration Reserves (mFRR for Germany); Frequency Containment Reserve (FCR) for Austria, Belgium Czech Republic, Denmark, France, Germany, Netherlands, Slovenia, and Switzerland; and automatic Frequency Restoration Reserves (aFRR) for Austria and Germany (positive and negative). For aFFR (secondary balancing power), these are averaged prices from all accepted suppliers in the pay-as-bid procedure. For the FCR (primary control reserve), the unit price (marginal price), which applies to all accepted suppliers, is stored.

The Electricity price data also include projects on CHP remuneration entitlement when the EEX price is positive for the years 2021 and 2022 (CHP_SurchargeClaim_positiveEEX_2021.eta and CHP_SurchargeClaim_positiveEEX_2022.eta). These time series contain the values +1 and -1. They can be used in the Electricity_Tariff_CHP_Surcharge component to account for CHP units of certain sizes being entitled to surcharge payments only for periods when the electricity price is positive and not equal to 0. The source of these time series is the NETZTRANSPARENZ.DE of the Steuerungsgruppe Horizontaler Belastungsausgleich (SG HoBA, horizontal load balancing steering group), a working group of the four transmission system operators in Germany 50Hertz, Amprion, TenneT, and TransnetBW.

As explained in this article, these time series can be used as input values for simulations.

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