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Υπολογιστικό κέντρο Grid σε συνεργασία με το CERN

GRID is a computer architecture for transparently sharing computing and storage resources in order to create a simple, virtual, unified system from a large number of different systems connected through an advanced network. The institute’s GRID is a WLCG Tier Two site administrated by the Department of Electrical Engineering under the supervision of Prof. D.V. Bandekas. Since 2013, the institute has a collaboration, in a form of a Memorandum of Understanding, with CERN for the deployment and exploitation of the LHC Computing GRID

 

The institute GRID site currently provides

  • 300 terabytes of data storage on disk,
  • brings together more than 1150 cores.

The institute’s GRID system, being developed in collaboration with CERN, will be linked with the European Grid Infrastructure through HellasGRID.

Renewable and Distributed Generation:

  • Wind systems (control of machines and large wind farms, systems integration with respect to reliability, stability and power quality);
  • Distributed solar systems (High penetration distribution modelling, distributed maximum power tracking, integrated storage);
  • Simulation of hybrid systems (solar, wind, fuel cell, diesel, etc)
  • Energy storage and distributed storage aggregation.

Diagnostics and Monitoring of Assets:

  • Intelligent and remote monitoring
  • Asset Management
  • Remnant Life Estimation and Strategic Loading of Assets
  • Dynamic Loading of Transmission Lines and Transformers

ICT Enabled Intelligent Power Systems:

  • Smart Distribution Automation
  • Smart Grid Communication Infrastructure
  • Smart Grid Security (cyber attack, SCADA …)
  • Standard Development and Interface
  • System Optimization (load forecasting, mixed electronic and market models, smart load management)

Future benefit for the Region

Processing seismic data & Earthquake Planning and Protection

  • Development and application of material models in nanotechnology
  • Modelling of fluid flow in materials
  • Computational chemistry
  • Economic analysis and forecasting
  • Weather forecasting and environmental studies
  • Medical applications:
    • Applications based on simulation
    • Image Analysis on demand
    • Tele-radiology and Epidemiology
    • Screening programs (Screening Programs)
    • The study of HIV AIDS (HIV).