Project description
Data Centres in an energy-efficient and environmentally friendly Internet
Data Centre (DC) energy consumption has doubled between 2000 and 2005 and grew by 50% from 2005 to 2010 consuming 1.5% of global energy with continued rapid growth. On average, computing consumes 60% of total energy while cooling consumes 35%. While new technology can lead to a 40% reduction computation and cooling typically operate without coordination or optimization. While server energy management can reduce energy use at CPU, rack, and DC level dynamic computation scheduling is not integrated with sensing and cooling. DC cooling typically operates at constant cold air temperature to protect the hottest server racks while local fans distribute the temperature across racks. However, these local server controls are not integrated with room cooling systems so it is not possible to optimize chiller, air fans and server fans as a system. The integration of renewable energy sources (RES) has received limited interest from the DC community due to lack of interoperability of generation, storage and heat recovery and installation and maintenance cost versus payback. The adoption of new technologies related to computing, cooling, generation, energy storage, and waste heat recovery individually requires sophisticated controls, but no single manufacturer provides a complete system so integration between control systems does not exist. To address this, GENiC will develop an integrated management and control platform for DC wide optimisation of energy consumption by integrating monitoring and control of computation, data storage, cooling, local power generation, energy storage, and waste heat recovery. The platform will include open interfaces, common data formats, control and optimisation functions and decision support to achieve a substantial reduction in energy consumption, PUE, CUE. GENiC will develop a process and tool chain for cost-effective integration of renewable energy sources into DC power systems demonstrating renewable energy penetration in excess of 80%.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarecomputer processors
- engineering and technologymechanical engineeringthermodynamic engineering
Call for proposal
FP7-SMARTCITIES-2013
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator
T12 CORK
Ireland