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Data Management and System Architecture - Technology Landscape and Outline Functional Specification. WA3 WP1 D3.1 Report on International Initiatives

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Abstract:

This project specified the data system functionality and architecture that would fulfil the information and service requirements of a smart energy system. This included data security and privacy aspects. Hitachi Europe and energy & sustainability consultants DNV Kema worked independently on two £100,000 contracts to identify any data system constraints that need to be incorporated into smart energy systems. The projects were launched in February 2013. The envisaged ETI Smart Systems and Heat system will depend on Information and Communications Technology (ICT) for its efficient design, operation and management. The ICT system will need to provide functionality right along the energy delivery chain: from supply to the end consumer. It will also need to support commercial activities such as billing, and to support academic analysis and review of the system during trials and proving.

The envisaged ETI Smart Systems and Heat system will depend on Information and Communications Technology (ICT) for its efficient design, operation and management. The ICT system will need to provide functionality right along the energy delivery chain: from supply to the end consumer. It will also need to support commercial activities such as billing, and to support academic analysis and review of the system during trials and proving. The purpose of Work Area 3 (WA3) is to specify a data architecture that fulfils the information and service requirements of the smart energy system (including data security and privacy).

The principal objective achieved within the reports is the identification from other relevant projects of architectural techniques that can be applied to the SSH data architecture design and to identify and assess UK and EU directives, protocols,and legislative initiativesthat may impact upon delivery of the SSH Programme

A formal analysis methodology based on defined Research Questions is used as the basis of analysis. This methodology permits the analysis of initiatives against defined quality aspects and is based on software engineering best practice. Each initiative is analysed to determine how the designers sought to achieve a specified quality aspect (such as performance or reliability) using known design techniques.From an initial extensive list of initiatives the following are identified as directly relevant to the SSHP:

  • HiPerDNO
  • OpenNode
  • NIST IR 7628 Smart Grid Cyber Security
  • Prototype Island Smart Grid
  • Autonomous Decentralised Transport Operation Control System
  • Traffic Management System for Kyushu Shinkansen train
  • Danish Cell Controller Pilot Project
  • M/490 Smart Grid Information Security working group
  • EU-Commission Smart Grid Task Force (SGTF)
Together, the design aspects and tactics employed in these initiatives provide a basis for the design of the data management architecture for the SSHP.

This deliverable presents several architecture patterns for the defined quality aspects. Though each pattern has its own characteristics, a pattern found here, generally speaking, represents its own approach to decomposition of an ICT system. Security centric architecture, for example, requires the decomposition of a system according to the asset importance. Strictly confidential data must be separated from other data and should be protected by an elaborate security scheme such as defence-in-depth strategy found in the project we studied. On the other hand, the performance requirement may demand the confidential data should be stored with some other data to guarantee quick data merging. Or, adaptability may, for example, require data separation so that a change of tregulation should cause only a simple exchange of corresponding components. In this way quality aspects, or criteria of decomposition, sometimes collapse and bring design discrepancies.

One of the challenges facing UK power networks is dealing with power instability in the distribution network caused by the increase of RE and increase of variation and number of demand devices in the future. Thus, in future work, we will focus on control of power and devices in distribution networks as challenges in SSHP

Publication Year:

2013

Publisher:

ETI

Author(s):

Hitachi Europe Ltd

Language:

English

File Type:

application/pdf

File Size:

2397237 B

Rights:

Energy Technologies Institute Open Licence for Materials

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

Region:

United Kingdom

Publication Type:

Technical Report

Subject:

Technology

Theme(s):

Smart Systems and Heat