Loading...

CO2 Emission Data

Total number of rows: 621,568


2019-12-16 04:40Z 2019-12-16 05:40 DK2 121
2019-12-16 04:40Z 2019-12-16 05:40 DK1 121
2019-12-16 04:35Z 2019-12-16 05:35 DK2 120
2019-12-16 04:35Z 2019-12-16 05:35 DK1 120
2019-12-16 04:30Z 2019-12-16 05:30 DK2 120
2019-12-16 04:30Z 2019-12-16 05:30 DK1 120
2019-12-16 04:25Z 2019-12-16 05:25 DK2 122
2019-12-16 04:25Z 2019-12-16 05:25 DK1 122
2019-12-16 04:20Z 2019-12-16 05:20 DK2 124
2019-12-16 04:20Z 2019-12-16 05:20 DK1 124
2019-12-16 04:15Z 2019-12-16 05:15 DK2 127
2019-12-16 04:15Z 2019-12-16 05:15 DK1 127
2019-12-16 04:10Z 2019-12-16 05:10 DK2 127
2019-12-16 04:10Z 2019-12-16 05:10 DK1 127
2019-12-16 04:05Z 2019-12-16 05:05 DK2 126
2019-12-16 04:05Z 2019-12-16 05:05 DK1 126
2019-12-16 04:00Z 2019-12-16 05:00 DK2 129
2019-12-16 04:00Z 2019-12-16 05:00 DK1 129
2019-12-16 03:55Z 2019-12-16 04:55 DK2 133
2019-12-16 03:55Z 2019-12-16 04:55 DK1 133
2019-12-16 03:50Z 2019-12-16 04:50 DK2 138
2019-12-16 03:50Z 2019-12-16 04:50 DK1 138
2019-12-16 03:45Z 2019-12-16 04:45 DK2 139
2019-12-16 03:45Z 2019-12-16 04:45 DK1 139
2019-12-16 03:40Z 2019-12-16 04:40 DK2 141
2019-12-16 03:40Z 2019-12-16 04:40 DK1 141
2019-12-16 03:35Z 2019-12-16 04:35 DK2 142
2019-12-16 03:35Z 2019-12-16 04:35 DK1 142
2019-12-16 03:30Z 2019-12-16 04:30 DK2 140
2019-12-16 03:30Z 2019-12-16 04:30 DK1 140
2019-12-16 03:25Z 2019-12-16 04:25 DK2 138
2019-12-16 03:25Z 2019-12-16 04:25 DK1 138
2019-12-16 03:20Z 2019-12-16 04:20 DK2 137
2019-12-16 03:20Z 2019-12-16 04:20 DK1 137
2019-12-16 03:15Z 2019-12-16 04:15 DK2 137
2019-12-16 03:15Z 2019-12-16 04:15 DK1 137
2019-12-16 03:10Z 2019-12-16 04:10 DK2 137
2019-12-16 03:10Z 2019-12-16 04:10 DK1 137
2019-12-16 03:05Z 2019-12-16 04:05 DK2 135
2019-12-16 03:05Z 2019-12-16 04:05 DK1 135
2019-12-16 03:00Z 2019-12-16 04:00 DK2 137
2019-12-16 03:00Z 2019-12-16 04:00 DK1 137
2019-12-16 02:55Z 2019-12-16 03:55 DK2 137
2019-12-16 02:55Z 2019-12-16 03:55 DK1 137
2019-12-16 02:50Z 2019-12-16 03:50 DK2 140
2019-12-16 02:50Z 2019-12-16 03:50 DK1 140
2019-12-16 02:45Z 2019-12-16 03:45 DK2 140
2019-12-16 02:45Z 2019-12-16 03:45 DK1 140
2019-12-16 02:40Z 2019-12-16 03:40 DK2 139
2019-12-16 02:40Z 2019-12-16 03:40 DK1 139

Data Dictionary

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

5 minutes UTC

Name 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.

Example 2017-07-14T08:05:00Z
Unit
Field Minutes5UTC
Property Constraint
Type timestamptz
Size 20
Format Regex
Validation Rules

5 minutes DK

Name 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.

Example 2012-10-01T02:15:00
Unit
Field Minutes5DK
Property Constraint
Type timestamp
Size 19
Format Regex
Validation Rules

Price area

Name Price area
Description

DK1 is Jutland and Fyen and DK2 is Zealand and islands

Comment

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

Example DK1
Unit
Field PriceArea
Property Constraint
Type text
Size 3
Format Regex DK1 | DK2
Validation Rules DK1 or DK2

CO2 Emission

Name CO2 Emission
Description

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

Comment
Example 386
Unit g/kWh
Field CO2Emission
Property Constraint
Type int
Size 4
Format Regex \d{4}
Validation Rules