You are here

GENiC: Globally optimized ENergy efficient data Centres

Column 1
Funding Programme or Company Name: 
FP7 - SmartCities
Funding Body: 
European Union - Framework Programme
Data Centre (DC) energy consumption has doubled between 2000 and 2005 and grew by 50% from 2005 to 2010 consuming1.5% of global energy with continued rapid growth. On average, computing consumes 60% of total energy while coolingconsumes 35%. While new technology can lead to a 40% reduction computation and cooling typically operate withoutcoordination or optimization. While server energy management can reduce energy use at CPU, rack, and DC level dynamiccomputation scheduling is not integrated with sensing and cooling. DC cooling typically operates at constant cold airtemperature to protect the hottest server racks while local fans distribute the temperature across racks. However, these localserver controls are not integrated with room cooling systems so it is not possible to optimize chiller, air fans and server fansas a system. The integration of renewable energy sources (RES) has received limited interest from the DC community due tolack of interoperability of generation, storage and heat recovery and installation and maintenance cost versus payback. Theadoption of new technologies related to computing, cooling, generation, energy storage, and waste heat recovery individuallyrequires sophisticated controls, but no single manufacturer provides a complete system so integration between controlsystems does not exist. To address this, GENiC will develop an integrated management and control platform for DC wideoptimisation of energy consumption by integrating monitoring and control of computation, data storage, cooling, local powergeneration, energy storage, and waste heat recovery.
Insight Contact: 
Application Domain: 
Associated Theme for Application Domain: 
The Discovery Economy-Smart Enterprise
Column 2
Project Logo: 
Column 3
Funding Body Logo: 
Involved Institution: 
National University of Ireland, Cork (UCC)
Committed Cost Share (in kind):