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CO2 Emission Data

Total antal rækker: 617,720


2019-12-09 12:20Z 2019-12-09 13:20 DK2 109
2019-12-09 12:20Z 2019-12-09 13:20 DK1 109
2019-12-09 12:15Z 2019-12-09 13:15 DK2 109
2019-12-09 12:15Z 2019-12-09 13:15 DK1 109
2019-12-09 12:10Z 2019-12-09 13:10 DK2 108
2019-12-09 12:10Z 2019-12-09 13:10 DK1 108
2019-12-09 12:05Z 2019-12-09 13:05 DK2 109
2019-12-09 12:05Z 2019-12-09 13:05 DK1 109
2019-12-09 12:00Z 2019-12-09 13:00 DK2 109
2019-12-09 12:00Z 2019-12-09 13:00 DK1 109
2019-12-09 11:55Z 2019-12-09 12:55 DK2 108
2019-12-09 11:55Z 2019-12-09 12:55 DK1 108
2019-12-09 11:50Z 2019-12-09 12:50 DK2 108
2019-12-09 11:50Z 2019-12-09 12:50 DK1 108
2019-12-09 11:45Z 2019-12-09 12:45 DK2 109
2019-12-09 11:45Z 2019-12-09 12:45 DK1 109
2019-12-09 11:40Z 2019-12-09 12:40 DK2 109
2019-12-09 11:40Z 2019-12-09 12:40 DK1 109
2019-12-09 11:35Z 2019-12-09 12:35 DK2 108
2019-12-09 11:35Z 2019-12-09 12:35 DK1 108
2019-12-09 11:30Z 2019-12-09 12:30 DK2 109
2019-12-09 11:30Z 2019-12-09 12:30 DK1 109
2019-12-09 11:25Z 2019-12-09 12:25 DK2 109
2019-12-09 11:25Z 2019-12-09 12:25 DK1 109
2019-12-09 11:20Z 2019-12-09 12:20 DK2 110
2019-12-09 11:20Z 2019-12-09 12:20 DK1 110
2019-12-09 11:15Z 2019-12-09 12:15 DK2 110
2019-12-09 11:15Z 2019-12-09 12:15 DK1 110
2019-12-09 11:10Z 2019-12-09 12:10 DK2 112
2019-12-09 11:10Z 2019-12-09 12:10 DK1 112
2019-12-09 11:05Z 2019-12-09 12:05 DK2 113
2019-12-09 11:05Z 2019-12-09 12:05 DK1 113
2019-12-09 11:00Z 2019-12-09 12:00 DK2 116
2019-12-09 11:00Z 2019-12-09 12:00 DK1 116
2019-12-09 10:55Z 2019-12-09 11:55 DK2 122
2019-12-09 10:55Z 2019-12-09 11:55 DK1 122
2019-12-09 10:50Z 2019-12-09 11:50 DK2 123
2019-12-09 10:50Z 2019-12-09 11:50 DK1 123
2019-12-09 10:45Z 2019-12-09 11:45 DK2 127
2019-12-09 10:45Z 2019-12-09 11:45 DK1 127
2019-12-09 10:40Z 2019-12-09 11:40 DK2 129
2019-12-09 10:40Z 2019-12-09 11:40 DK1 129
2019-12-09 10:35Z 2019-12-09 11:35 DK2 128
2019-12-09 10:35Z 2019-12-09 11:35 DK1 128
2019-12-09 10:30Z 2019-12-09 11:30 DK2 129
2019-12-09 10:30Z 2019-12-09 11:30 DK1 129
2019-12-09 10:25Z 2019-12-09 11:25 DK2 130
2019-12-09 10:25Z 2019-12-09 11:25 DK1 130
2019-12-09 10:20Z 2019-12-09 11:20 DK2 136
2019-12-09 10:20Z 2019-12-09 11:20 DK1 136

Data Dictionary

Column Type Label Beskrivelse
Minutes5UTC timestamptz
Minutes5DK timestamp
PriceArea text
CO2Emission int4

5 minutes UTC

Navn 5 minutes UTC
Beskrivelse

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

Kommentar

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.

Eksempel 2017-07-14T08:05:00Z
Enhed
Felt Minutes5UTC
Property Constraint
Type timestamptz
Størrelse 20
Format Regex
Validation Rules

5 minutes DK

Navn 5 minutes DK
Beskrivelse

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.

Kommentar

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.

Eksempel 2012-10-01T02:15:00
Enhed
Felt Minutes5DK
Property Constraint
Type timestamp
Størrelse 19
Format Regex
Validation Rules

Price area

Navn Price area
Beskrivelse

DK1 is Jutland and Fyen and DK2 is Zealand and islands

Kommentar

DK1 and DK2 are the standard abbreviation for the two Danish price areas

Eksempel DK1
Enhed
Felt PriceArea
Property Constraint
Type text
Størrelse 3
Format Regex DK1 | DK2
Validation Rules DK1 or DK2

CO2 Emission

Navn CO2 Emission
Beskrivelse

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

Kommentar
Eksempel 386
Enhed g/kWh
Felt CO2Emission
Property Constraint
Type int
Størrelse 4
Format Regex \d{4}
Validation Rules