elering-2

Anonymize energy data

1. Description of the Use Case

1.1. Name of the Use Case

IDArea /Domain(s)/Zone(s)Name of the Use Case
1Access to data, Market for flexibilities, Services related to end customers,elering-2

1.2. Version Management

Version No.DateName of author(s)ChangesApproval status
12018-04-12T00:00:00Kalle Kukk (Elering),
22018-10-03T00:00:00Ricardo Jover (EDF),UML model
32018-10-04T00:00:00Eric Suignard (EDF),Version post WP5&9 physical meeting in Tallinn
42018-10-11T00:00:00Ricardo Jover (EDF),Assumptions concerning users of the Application
52019-05-07T00:00:00Eric Suignard (EDF),WP6-7-8 demos alignment and miscellaneous changes
62020-06-16T00:00:00Eric Suignard (EDF),innogy’s and Elering’s review

1.3. Scope and Objectives of Use Case

ScopeAnonymization of personally identifiable data.
Objective(s)Making private data available to other parties without authorization (permission) using anonymization techniques
Related business case(s)

1.4. Narrative of Use Case

Short description

Private data without identifying the person behind may be useful for some applications and services – e.g. for academic studies, benchmarking, reporting, etc. Using techniques to anonymize data makes access to data easier for these parties as no consent is needed from every individual consumer.

Complete description

1.5. Key Performance Indicatiors (KPI)

IDNameDescriptionReference to mentioned use case objectives

1.6. Use case conditions

Assumptions
Application and Data Hub have a prior agreement to exchange anonymized data or there is legal requirement for Data Hub to make certain anonymized data available
Prerequisites
Standard anonymization technique

1.7. Further information to the use case for classification/mapping

Relation to other use cases
Level of depth
Prioritisation
Generic, regional or national relation
Nature of the use cases
SUC
Further keywords for classification

1.8. General remarks

General remarks

2. Diagrams of Use Case

Anonymize energy data - overview Anonymize energy data - scenarios flowchart

3. Technical Details

3.1. Actors

Actor NameActor TypeActor DescriptionFurther information specific to this Use Case
Data Exchange PlatformSystemData exchange platform (DEP) is a communication platform the basic functionality of which is to secure data transfer (routing) from data providers (e.g. data hubs, flexibility service providers, TSOs, DSOs) to the data users (e.g. TSOs, DSOs, consumers, suppliers, energy service providers). DEP stores data related to its services (e.g. cryptographic hash of the data requested). The DEP does not store core energy data (e.g. meter data, grid data, market data) while these data can be stored by data hubs. Several DEPs may exist in different countries and inside one country.
Data HubSystemData Hub is an information system which main functionality is to store and make available measurements (e.g. meter data, operational data) and associated master data. Data Hubs are not necessarily centralized in a country or in a region.
Foreign Customer PortalSystemCustomer Portal for another country.
Can also mean a separate portal in the same country.
ApplicationSystemAny kind of system connected to a Data Exchange Platform and used by a market participant who wishes to receive data.
Data Hub OperatorBusinessData hub operator owns and operates an information system which main functionality is to store and make available electricity (also gas, heat) metering data and associated master data. Can be :
  • Grid Data Hub Operator in the sphere of a System Operator
  • Market Data Hub Operator in the sphere of a Market Operator
  • Meter Data Hub Operator in the sphere of a Metered Data Operator
  • Sub-meter Data Hub Operator in the sphere of an Energy Service Provider
DEP OperatorBusinessData exchange platform operator owns and operates a communication system which basic functionality is data transfer.

3.2. References

No.References TypeReferenceStatusImpact on Use CaseOrganistaor / OrganisationLink

4. Step by Step Analysis of Use Case

4.1. Overview of Scenarios

No.Scenario NameScenario DescriptionPrimary ActorTriggering EventPre-ConditionPost-Condition
1Anonymize private data

Notes

4.2. Steps – Scenarios

Scenario Name:
Anonymize private data
Step No.Event.Name of Process/ ActivityDescription of Process/ Activity.ServiceInformation Producer (Actor)Information Receiver (Actor)Information ExchangedRequirements, R-ID
1.1Anonymizes data43ac67ff-35a0-48e4-8b2c-d1eaf7537292e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef
1.2Forwards anonymized data5351ac19-9ec2-47b9-9ead-4a28907df045e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef
1.3Forwards anonymized data4e694b8b-e0eb-4b2a-ae7a-1bcb6f656385e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef
1.4Forwards anonymized data request
Modsarus Use Case::InstanceName=Any Data
Modsarus Use Case::InstanceDescription=
5351ac19-9ec2-47b9-9ead-4a28907df04543ac67ff-35a0-48e4-8b2c-d1eaf753729297336539-bfa7-4501-b370-ff9d6d4bf681e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef
1.5Forwards anonymized data request
Modsarus Use Case::InstanceName=Any Data
Modsarus Use Case::InstanceDescription=
4e694b8b-e0eb-4b2a-ae7a-1bcb6f65638543ac67ff-35a0-48e4-8b2c-d1eaf753729297336539-bfa7-4501-b370-ff9d6d4bf681e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef
1.6Requests anonymized data
Modsarus Use Case::InstanceName=Any Data
Modsarus Use Case::InstanceDescription=
3b6d4cd1-7cd7-473e-af25-2cd3f990d4155351ac19-9ec2-47b9-9ead-4a28907df045 4e694b8b-e0eb-4b2a-ae7a-1bcb6f65638597336539-bfa7-4501-b370-ff9d6d4bf681e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef
1.7Sends anonymized data43ac67ff-35a0-48e4-8b2c-d1eaf7537292e36aee2c-29d8-4331-b123-07eeafb6c6d9 73a08640-6aaa-4f28-9f05-92891fd0b16c 8457ec5f-579f-40ac-8536-437237c3d919 e3e7f71d-88e9-413a-960f-4400c9cd2bef

5. Information Exchanged

Information exchanged IDName of InformationDescription of Information ExchangedRequirement
97336539-bfa7-4501-b370-ff9d6d4bf681Any Data—-

6. Requirements (optional)

Category IdentifierNameDescriptionmRID
Cat1Task 5.3Requirements integrated from Task 5.3.1880e39c-7084-4785-8c02-297057abe312
IdentifierNameDescriptionmRID
Req1ANO-ED-REQ-3Data source (e.g. meter data hub) ability to anonymize datae36aee2c-29d8-4331-b123-07eeafb6c6d9
Req2ANO-ED-REQ-4DEP ability to forward anonymized data from a data source to a data user73a08640-6aaa-4f28-9f05-92891fd0b16c
Req3ANO-ED-REQ-1Standard rules to anonymize data not to enable the identification of persons behind data8457ec5f-579f-40ac-8536-437237c3d919
Req4ANO-ED-REQ-2Standard rules to anonymize data in order to ensure the comparability of anonymized data setse3e7f71d-88e9-413a-960f-4400c9cd2bef

7. Common Terms and Definitions

8. Custom Information (optional)

KeyValueRefers to Section