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Auction of Capacities, PTR DK2-Germany Data

Total number of rows: 50,542


2019-10-07 21:00Z 2019-10-07 23:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 20:00Z 2019-10-07 22:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 19:00Z 2019-10-07 21:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 18:00Z 2019-10-07 20:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 17:00Z 2019-10-07 19:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 16:00Z 2019-10-07 18:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 15:00Z 2019-10-07 17:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 14:00Z 2019-10-07 16:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 13:00Z 2019-10-07 15:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 12:00Z 2019-10-07 14:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 11:00Z 2019-10-07 13:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 10:00Z 2019-10-07 12:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 09:00Z 2019-10-07 11:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 08:00Z 2019-10-07 10:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 07:00Z 2019-10-07 09:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 06:00Z 2019-10-07 08:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 05:00Z 2019-10-07 07:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 04:00Z 2019-10-07 06:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 03:00Z 2019-10-07 05:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 02:00Z 2019-10-07 04:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 01:00Z 2019-10-07 03:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-07 00:00Z 2019-10-07 02:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 23:00Z 2019-10-07 01:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 22:00Z 2019-10-07 00:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 21:00Z 2019-10-06 23:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 20:00Z 2019-10-06 22:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 19:00Z 2019-10-06 21:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 18:00Z 2019-10-06 20:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 17:00Z 2019-10-06 19:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 16:00Z 2019-10-06 18:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 15:00Z 2019-10-06 17:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 14:00Z 2019-10-06 16:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 13:00Z 2019-10-06 15:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 12:00Z 2019-10-06 14:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 11:00Z 2019-10-06 13:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 10:00Z 2019-10-06 12:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 09:00Z 2019-10-06 11:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 08:00Z 2019-10-06 10:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 07:00Z 2019-10-06 09:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 06:00Z 2019-10-06 08:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 05:00Z 2019-10-06 07:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 04:00Z 2019-10-06 06:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 03:00Z 2019-10-06 05:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 02:00Z 2019-10-06 04:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 01:00Z 2019-10-06 03:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-06 00:00Z 2019-10-06 02:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-05 23:00Z 2019-10-06 01:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-05 22:00Z 2019-10-06 00:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-05 21:00Z 2019-10-05 23:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None
2019-10-05 20:00Z 2019-10-05 22:00 None 301.32 5,725.93 766.80 -244.0 244.0 None None

Data Dictionary

Column Type Label Description
HourUTC timestamptz
HourDK timestamp
MonthlyAuctionConRentDKK float8
MonthlyAuctionConRentEUR float8
YearlyAuctionConRentDKK float8
YearlyAuctionConRentEUR float8
SoldExportCapacity float8
SoldImportCapacity float8
UtilizedExportCapacity float8
UtilizedImportCapacity float8

Hour UTC

Name Hour UTC
Description

A date and time (interval), shown in UTC time zone, where the values are valid. 00:00 o’clock is the first hour of a given day interval 00:00 - 00:59 and 01:00 covers the second hour (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 08:00Z. 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 08:00. 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. 2017-07-14T08:00Z.

Example 2017-07-14T08:00Z
Unit
Field HourUTC
Property Constraint
Type timestamptz
Size 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Hour DK

Name Hour DK
Description

A date and time (interval), shown in Danish time zone, where the values are valid. 00:00 o’clock is the first hour of a given day, interval 00:00 - 00:59, and 01:00 covers the second hour period (interval) of the day and so forth.

Comment

On one normal day there will be 24 intervals.

When daylight saving times shifts there will be either 23 or 25 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 e.g. 2017-07-14 08:00. 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 e.g. 2017-07-14T08:00.

Example 2017-07-14T08:00
Unit
Field HourDK
Property Constraint
Type timestamp
Size 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Monthly Auction Congestion Rent (DKK)

Name Monthly Auction Congestion Rent (DKK)
Description

Total amount of congestion rent at the interconnection to Germany based on the monthly auction of the transmission capacity in DKK per hour

Comment
Example 543,45
Unit DKK per MWh/h
Field MonthlyAuctionConRentDKK
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules >=0

Monthly Auction Congestion Rent (EUR)

Name Monthly Auction Congestion Rent (EUR)
Description

Total amount of congestion rent at the interconnection to Germany based on the monthly auction of the transmission capacity in EUR per hour

Comment
Example 543,45
Unit EUR per MWh/h
Field MonthlyAuctionConRentEUR
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules >=0

Yearly Auction Congestion Rent (DKK)

Name Yearly Auction Congestion Rent (DKK)
Description

Total amount of congestion rent at the interconnection to Germany based on the monthly auction of the transmission capacity

Comment
Example 543,45
Unit DKK per MWh/h
Field YearlyAuctionConRentDKK
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules >=0

Yearly Auction Congestion Rent (EUR)

Name Yearly Auction Congestion Rent (EUR)
Description

Total amount of congestion rent at the interconnection to Germany based on the monthly auction of the transmission capacity

Comment
Example 543,45
Unit EUR per MWh/h
Field YearlyAuctionConRentEUR
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules >=0

Export Capacity sold DK1 to Germany

Name Export Capacity sold DK1 to Germany
Description

Capacity sold from Eastern Denmark to Germany in MWh per hour - sum of annual and monthly reservation. Generally, within the month the amount will be fixed unless periods of constraints occur.

Comment
Example 543,45
Unit MWh per hour
Field SoldExportCapacity
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Import Capacity sold Germany to DK1

Name Import Capacity sold Germany to DK1
Description

Capacity sold from Germany to Eastern Denmark in MWh per hour - sum of annual and monthly reservation. Generally, within the month the amount will be fixed unless periods of constraints occur.

Comment
Example 543,45
Unit MWh per hour
Field SoldImportCapacity
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Utilized Capacity DK1 to Germany

Name Utilized Capacity DK1 to Germany
Description

Utilized capacity from Eastern Denmark to Germany in MWh per hour - sum of annual and monthly reservations.

Comment
Example 543,45
Unit MWh per hour
Field UtilizedExportCapacity
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Utilized Capacity Germany to DK1

Name Utilized Capacity Germany to DK1
Description

Utilized capacity from Germany to Western Denmark in MWh per hour - sum of annual and monthly reservations.

Comment
Example 543,45
Unit MWh per hour
Field UtilizedImportCapacity
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0