Clustered and aggregated EV profiles (Germany)
Clustered and aggregated EV profiles including location and consumption of the EVs as well as share of the EV profile for Germany based on weekday and weather characteristics of the year 2012
Metadata
Unit:
See Internal ID
Spatial resolution:
NUTS-0
Period:
2012
Internal ID:
internal_id_type[1] = 175: EV profile scenario
internal_id[1] = 1: 5 clustered EV profiles
internal_id[1] = 2: 10 clustered EV profiles
internal_id[1] = 3: 20 clustered EV profiles
internal_id[1] = 4: 50 clustered EV profiles
internal_id[1] = 5: aggregated EV profile
internal_id_type[2] = 176: EV profile information
internal_id[2] = 1: share of EV profile in EV fleet
internal_id[2] = 2: location profile of EV (0=driving/not home; 1=home; 2=at work; 3=elsewhere)
internal_id[2] = 3: consumption profile of EV in kWh
internal_id_type[3] = 177: EV profile number
internal_id[3] = 1: EV profile number 1
internal_id[3] = 2: EV profile number 2
internal_id[3] = 3: EV profile number 3
internal_id[3] = 4: EV profile number 4
internal_id[3] = 5: EV profile number 5
internal_id[3] = 6: EV profile number 6
internal_id[3] = 7: EV profile number 7
internal_id[3] = 8: EV profile number 8
internal_id[3] = 9: EV profile number 9
internal_id[3] = 10: EV profile number 10
internal_id[3] = 11: EV profile number 11
internal_id[3] = 12: EV profile number 12
internal_id[3] = 13: EV profile number 13
internal_id[3] = 14: EV profile number 14
internal_id[3] = 15: EV profile number 15
internal_id[3] = 16: EV profile number 16
internal_id[3] = 17: EV profile number 17
internal_id[3] = 18: EV profile number 18
internal_id[3] = 19: EV profile number 19
internal_id[3] = 20: EV profile number 20
internal_id[3] = 21: EV profile number 21
internal_id[3] = 22: EV profile number 22
internal_id[3] = 23: EV profile number 23
internal_id[3] = 24: EV profile number 24
internal_id[3] = 25: EV profile number 25
internal_id[3] = 26: EV profile number 26
internal_id[3] = 27: EV profile number 27
internal_id[3] = 28: EV profile number 28
internal_id[3] = 29: EV profile number 29
internal_id[3] = 30: EV profile number 30
internal_id[3] = 31: EV profile number 31
internal_id[3] = 32: EV profile number 32
internal_id[3] = 33: EV profile number 33
internal_id[3] = 34: EV profile number 34
internal_id[3] = 35: EV profile number 35
internal_id[3] = 36: EV profile number 36
internal_id[3] = 37: EV profile number 37
internal_id[3] = 38: EV profile number 38
internal_id[3] = 39: EV profile number 39
internal_id[3] = 40: EV profile number 40
internal_id[3] = 41: EV profile number 41
internal_id[3] = 42: EV profile number 42
internal_id[3] = 43: EV profile number 43
internal_id[3] = 44: EV profile number 44
internal_id[3] = 45: EV profile number 45
internal_id[3] = 46: EV profile number 46
internal_id[3] = 47: EV profile number 47
internal_id[3] = 48: EV profile number 48
internal_id[3] = 49: EV profile number 49
internal_id[3] = 50: EV profile number 50
internal_id[1] = 1: 5 clustered EV profiles
internal_id[1] = 2: 10 clustered EV profiles
internal_id[1] = 3: 20 clustered EV profiles
internal_id[1] = 4: 50 clustered EV profiles
internal_id[1] = 5: aggregated EV profile
internal_id_type[2] = 176: EV profile information
internal_id[2] = 1: share of EV profile in EV fleet
internal_id[2] = 2: location profile of EV (0=driving/not home; 1=home; 2=at work; 3=elsewhere)
internal_id[2] = 3: consumption profile of EV in kWh
internal_id_type[3] = 177: EV profile number
internal_id[3] = 1: EV profile number 1
internal_id[3] = 2: EV profile number 2
internal_id[3] = 3: EV profile number 3
internal_id[3] = 4: EV profile number 4
internal_id[3] = 5: EV profile number 5
internal_id[3] = 6: EV profile number 6
internal_id[3] = 7: EV profile number 7
internal_id[3] = 8: EV profile number 8
internal_id[3] = 9: EV profile number 9
internal_id[3] = 10: EV profile number 10
internal_id[3] = 11: EV profile number 11
internal_id[3] = 12: EV profile number 12
internal_id[3] = 13: EV profile number 13
internal_id[3] = 14: EV profile number 14
internal_id[3] = 15: EV profile number 15
internal_id[3] = 16: EV profile number 16
internal_id[3] = 17: EV profile number 17
internal_id[3] = 18: EV profile number 18
internal_id[3] = 19: EV profile number 19
internal_id[3] = 20: EV profile number 20
internal_id[3] = 21: EV profile number 21
internal_id[3] = 22: EV profile number 22
internal_id[3] = 23: EV profile number 23
internal_id[3] = 24: EV profile number 24
internal_id[3] = 25: EV profile number 25
internal_id[3] = 26: EV profile number 26
internal_id[3] = 27: EV profile number 27
internal_id[3] = 28: EV profile number 28
internal_id[3] = 29: EV profile number 29
internal_id[3] = 30: EV profile number 30
internal_id[3] = 31: EV profile number 31
internal_id[3] = 32: EV profile number 32
internal_id[3] = 33: EV profile number 33
internal_id[3] = 34: EV profile number 34
internal_id[3] = 35: EV profile number 35
internal_id[3] = 36: EV profile number 36
internal_id[3] = 37: EV profile number 37
internal_id[3] = 38: EV profile number 38
internal_id[3] = 39: EV profile number 39
internal_id[3] = 40: EV profile number 40
internal_id[3] = 41: EV profile number 41
internal_id[3] = 42: EV profile number 42
internal_id[3] = 43: EV profile number 43
internal_id[3] = 44: EV profile number 44
internal_id[3] = 45: EV profile number 45
internal_id[3] = 46: EV profile number 46
internal_id[3] = 47: EV profile number 47
internal_id[3] = 48: EV profile number 48
internal_id[3] = 49: EV profile number 49
internal_id[3] = 50: EV profile number 50
Publication source:
Timo Kern et al.: Modeling and Evaluating Bidirectionally Chargeable Electric Vehicles in the Future European Energy System, FfE München, 2022.
Publication date:
2022-01-14
Publication licence:
CC-BY-4.0
Copyright:
© FfE, BDL Project
FfE-Bib-Key:
FFE-04 22
Citation:
Clustered and aggregated EV profiles (Germany): https://opendata.ffe.de/dataset/clustered-and-aggregated-ev-profiles-germany; München: FfE München, 2022.