CO2 Emission Prognosis

The dataset is an estimated prognosis following the day-ahead market. The forecast is normally released at 15.00 for the following day, and then adjusted during the intraday trade.

The forecast is based on the production schedules for each power plant, combined with the CO2 emission per kWh per power plant. The forecast is updated with the production schedules during the day. The values for DK1 and DK2 are the same, because both represent the total value of CO2 emissions in Denmark. Ongoing work will later give the correct individual values for the two price areas and the current value (for DK1 and DK2) will be shown under an extra column named DK. For further information please see the document (in Danish) “Deklarationer af EL”.

Please also note:

  • Depending on the time of the day an update of the prognosis may include estimates for more than 9 hours, but every update will at least have 9 hours into the future.
  • The resolution of the data is 5 minutes but the up-date frequency is a bit slower, which is 15 minutes.
  • To calculate the emission rate from CO2 the 125% method is used, which means that coproduced heat is produced by a given efficiency by 125%.

5 minutes UTC

Description

A date and time (interval), shown in UTC time zone, where the values are valid. 00:00:00 o’clock is the first 5 minutes of a given day, interval 00:00:00 - 00:04:59, and 00:05:00 covers the second 5 minutes period (interval) of the day and so forth.

Please note: The naming is based on the length of the interval of the finest grain of the resolution

Comment

Please note that the format shown in the example applies to data download as JSON, XML or fetched through the API and is in accordance with the ISO 8601 standard. The format is slightly different when it is shown on screen or downloaded manually as CSV or XLSX. This is mainly due to readability and consideration for Excel users.

In preview (in the GUI) all timestamps are shown as (display convention) YYYY-MM-DD hh:mmZ e.g. 2017-07-14 08:05Z. The Z will remind viewers that this is UTC.

In download (CSV and XLSX) the date time are exported as YYYY-MM-DD hh:mm e.g. 2017-07-14 08:05. That is without the “T” and the “Z” and the seconds. Excel will recognize it as date-time. The user must remember the convention about time zones.

In download (JSON and XML) the full format is used YYYY-MM-DDThh:mmZ e.g. 2017-07-14T08:05Z.

Name

Minutes5UTC

Type

datetime

Unit
Size

20

Example

2017-07-14T08:05:00Z

Property constraint
Validation rules
Format regex

5 minutes DK

Description

A date and time (interval), shown in Danish time zone, where the values are valid. 00:00:00 o’clock is the first 5 minutes of a given day, interval 00:00:00 - 00:04:59, and 00:05:00 covers the second 5 minutes period (interval) of the day and so forth.

Comment

On one normal day there will be 24 * 12 = 288 intervals.

When daylight saving times shifts there will be either 276 or 300 intervals.

Please note that the format shown in the example applies to data download as JSON, XML or fetched through the API and is in accordance with the ISO 8601 standard. The format is slightly different when it is shown on screen or downloaded manually as CSV or XLSX. This is mainly due to readability and consideration for Excel users.

In preview (in the GUI) all timestamps are shown as (display convention) YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. Please note that is no time zone indicator, showning that this is local (Danish) time.

In download (CSV and XLSX) the date time are exported as YYYY-MM-DD hh:mm:ss e.g. 2017-07-14 08:00:00. That is without the “T” and the seconds. Excel will recognize it as date-time. The user must remember that this is local (Danish) time.

In download (JSON and XML) the format used is YYYY-MM-DDThh:mm:ss e.g. 2017-07-14T08:00:00.

Name

Minutes5DK

Type

datetime

Unit
Size

19

Example

2012-10-01T02:15:00

Property constraint
Validation rules
Format regex

Price area

Description

Same as bidding zone. Denmark is divided in two price areas, or bidding zones, divided by the Great Belt. DK1 is west of the Great Belt and DK2 is east of the Great Belt.

Comment

If price area is “DK”, the data covers all Denmark.

Name

PriceArea

Type

string

Unit
Size

3

Example

DK1

Property constraint
Validation rules

DK1 or DK2

Format regex

DK1 | DK2

CO2 emission

Description

The estimated value for the emission in g/kWh for the relevant 5 minutes period.

Comment
Name

CO2Emission

Type

integer

Unit

g/kWh

Size

6

Example

301

Property constraint
Validation rules
Format regex

\d{4}