Loading...

CO2 Emission Data

Total antal rækker: 643,256


5 minutes DK CO2 emission
2020-01-22 14:05Z 2020-01-22 15:05 DK2 190
2020-01-22 14:05Z 2020-01-22 15:05 DK1 190
2020-01-22 14:00Z 2020-01-22 15:00 DK2 188
2020-01-22 14:00Z 2020-01-22 15:00 DK1 188
2020-01-22 13:55Z 2020-01-22 14:55 DK2 182
2020-01-22 13:55Z 2020-01-22 14:55 DK1 182
2020-01-22 13:50Z 2020-01-22 14:50 DK2 180
2020-01-22 13:50Z 2020-01-22 14:50 DK1 180
2020-01-22 13:45Z 2020-01-22 14:45 DK2 179
2020-01-22 13:45Z 2020-01-22 14:45 DK1 179
2020-01-22 13:40Z 2020-01-22 14:40 DK2 177
2020-01-22 13:40Z 2020-01-22 14:40 DK1 177
2020-01-22 13:35Z 2020-01-22 14:35 DK2 175
2020-01-22 13:35Z 2020-01-22 14:35 DK1 175
2020-01-22 13:30Z 2020-01-22 14:30 DK2 176
2020-01-22 13:30Z 2020-01-22 14:30 DK1 176
2020-01-22 13:25Z 2020-01-22 14:25 DK2 176
2020-01-22 13:25Z 2020-01-22 14:25 DK1 176
2020-01-22 13:20Z 2020-01-22 14:20 DK2 167
2020-01-22 13:20Z 2020-01-22 14:20 DK1 167
2020-01-22 13:15Z 2020-01-22 14:15 DK2 165
2020-01-22 13:15Z 2020-01-22 14:15 DK1 165
2020-01-22 13:10Z 2020-01-22 14:10 DK2 165
2020-01-22 13:10Z 2020-01-22 14:10 DK1 165
2020-01-22 13:05Z 2020-01-22 14:05 DK2 163
2020-01-22 13:05Z 2020-01-22 14:05 DK1 163
2020-01-22 13:00Z 2020-01-22 14:00 DK2 154
2020-01-22 13:00Z 2020-01-22 14:00 DK1 154
2020-01-22 12:55Z 2020-01-22 13:55 DK2 157
2020-01-22 12:55Z 2020-01-22 13:55 DK1 157
2020-01-22 12:50Z 2020-01-22 13:50 DK2 152
2020-01-22 12:50Z 2020-01-22 13:50 DK1 152
2020-01-22 12:45Z 2020-01-22 13:45 DK2 158
2020-01-22 12:45Z 2020-01-22 13:45 DK1 158
2020-01-22 12:40Z 2020-01-22 13:40 DK2 158
2020-01-22 12:40Z 2020-01-22 13:40 DK1 158
2020-01-22 12:35Z 2020-01-22 13:35 DK2 152
2020-01-22 12:35Z 2020-01-22 13:35 DK1 152
2020-01-22 12:30Z 2020-01-22 13:30 DK2 148
2020-01-22 12:30Z 2020-01-22 13:30 DK1 148
2020-01-22 12:25Z 2020-01-22 13:25 DK2 146
2020-01-22 12:25Z 2020-01-22 13:25 DK1 146
2020-01-22 12:20Z 2020-01-22 13:20 DK2 139
2020-01-22 12:20Z 2020-01-22 13:20 DK1 139
2020-01-22 12:15Z 2020-01-22 13:15 DK2 136
2020-01-22 12:15Z 2020-01-22 13:15 DK1 136
2020-01-22 12:10Z 2020-01-22 13:10 DK2 134
2020-01-22 12:10Z 2020-01-22 13:10 DK1 134
2020-01-22 12:05Z 2020-01-22 13:05 DK2 129
2020-01-22 12:05Z 2020-01-22 13:05 DK1 129

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\u2019clock 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 \u201cT\u201d and the \u201cZ\u201d 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 datetime
Størrelse 20,0
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\u2019clock 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 \u201cT\u201d 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 datetime
Størrelse 19,0
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 string
Størrelse 3,0
Format Regex
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 301
Enhed g/kWh
Felt CO2Emission
Property Constraint
Type integer
Størrelse 6,0
Format Regex
Validation Rules