IRON optimize price and resource information

IRON Study

In this project, the dynamic optimization of the resource “Electric Energy” in  an automated distributed grid Austria is explored. Energy consumers, energy producers and energy storage  clients should coordinate intelligently the management of electric energy. The IRON Study project investigates the need and feasibility of new optimization mechanisms in the field of electrical energy.

 

The objectives are:

  • to examine the communication methods  between all the stakeholders of Electric Energy: The producers, the energy storage clients and the intelligent consumers
  • The utilization of all the available optimization Technics for the short-term reduction of peak loads
  • The provisioning of a new IT infrastructure for a global load management

The primary focus is the reduction of critical peak demand with the use of load shifts, a method that has beneficial results for both the producers and the consumers – a win-win situation. The efficient use of decentralized electric energy supply from virtual power plants will also be taken into account.

The project IRON

This project will be implemented within the framework of “Energy Systems of the Future” program, an initiative of the Federal Ministry of Transport, Innovation and Technology (BMVIT). Currently, members of the Institute of Computer Engineering at the TU Vienna and the Institute of Energy Economics at the TU Vienna are working together in this project

Read here the report “APA-JOURNAL Energie” from 06.07.2007

IRON Study

 

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.
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