SmartSynergy – Synergy potentials in the IKT infrastructure for various smart grid applications

For smart grid and e-mobility applications, a wide range of data and / or information needs to be collected and distributed over a wide area. Different technical requirements (such as bandwidth, real-time capability, data security, availability, and redundancy, etc.) also have a significant impact on the cost of establishing the IKT infrastructure.  The main objectives in this project are the synergetic use of the ICT infrastructure for several applications as well as the validation of the actual realizable synergy potentials.

The hypothesis that the implementation of various “smart solutions” in the establishment of the necessary ICT infrastructures “creates appropriate and sufficient” synergies has not been sufficiently investigated. For smart grid and e-mobility applications, a wide range of data and / or information needs to be collected and distributed over a wide area. Different technical requirements (such as bandwidth, real-time capability, data security, availability and redundancy, etc.) exist, which also has a significant impact on the cost of establishing the ICT infrastructure.
Based on the experience gained from the Telekom core business of Salzburg AG and the previously implemented projects on Smart Grids from Salzburg AG and Salzburg Netz GmbH, the following are to be determined on the basis of realistic assumptions and specific requirements:

  • Synergies between the partial applications with regard to the ICT site and derive a generally valid synergy factor
  • Possible types of technical solution according to the requirements, including assessment of the best ICT infrastructure variants with the use of SWOT analysis
  • Examine the efficiency degree via a “cost-to-benefit distribution curve”
  • Evaluate and concretise the need for further development of the ICT infrastructure in order to identify the technological and/or economic benefits of future technologies, including matching with currently available or emerging technologies

The results of this project should provide:

  • First of all, a concrete assessment of the TK synergy potential for IKT region
  • Adjustment of these statements to real networks with the well known theoretical hypotheses
  • The comparison and  assessment of the more feasible forms of IKT infrastructure
  • Generalization of the findings from the real networks in the modelled region to possibly extrapolate into other networks and regions
  • Deduction of action and implementation recommendations, as well as concrete statements on realistic synergy potentials in the development of IKT-Infrastruktur
  • A Basis for decision-makers (i.e. in politics)
  • A Basis for businesses and institutions
  • Directives on which the stakeholders have to coordinate so that they can maximize the synergy potential
  • Meet the need for further development of the IKT infrastructure
  • A future orientation of the IKT infrastructure on the basis of the results found and further recommendations for an IKT infrastructure architecture incorporating new or emerging IKT Infrastructure technology
Smart Synergy

Synergy potentials in the IKT infrastructure for various smart grid applications

Publications

About Lampros Fotiadis

Lampros Fotiadis MEng, MBA, was born in 1980 in Greece. His passion for engineering led him to receive his Engineer’s degree (MEng equivalent) from the Electrical and Computer Engineering school of the Aristotle University (Greece) in 2004. During his studies, he specialised in Electronics and Computer Engineering. In his diploma thesis, he simulated and implemented a multi-zone fuzzy-logic heating system using a real-time reconfigurable System-on-Chip. Pursuing a holistic approach to solving engineering problems, he successfully earned an MBA degree from the University of Macedonia (Greece) in 2006 and his master thesis examined the relation between European environmental policies and the European Energy market. He worked as an expert IT and Physical security consultant for more than 10 years and his expertise include system design and requirement analysis, system integration and product management. His recent areas of interests are Data Science, Machine Learning, Autonomous Driving and Smart Grids. Since February 2017 he is working as project member at the Institute of Computer Technology in the Energy&IT Group, where he is especially contributing know-how as IT and physical security consultant in the areas of smart grids and industry 4.0.
Bookmark the permalink.

Comments are closed