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Artificial-Intelligence-Augmented Cooling System for Small Data Centres

Project description

Cooling on the edge! Future of data centre cooling

The heart of digitisation beats in the data centres. Emerging digital trends – from artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) to the Internet of Things (IoT) – are boosting average power density while forcing data centres to be located closer to end users. Consequently, data centres are challenged to keep up with efficient cooling measures. The EU-funded ECO-Qube project will develop an AI augmented holistic management system for data centres that connects cooling systems, IT loads, and electrical infrastructure with the aim of dynamically enhancing energy efficiency regarding the instant cooling requirements. It will provide a zonal heat management system that benefits from computational fluid dynamics simulations to adapt cooling systems with maximum performance and minimum energy consumption.

Objective

Artificial-Intelligence-Augmented Cooling System for Small Data Centres “ECO-Qube”; is a holistic management system which aims to enhance energy efficiency and cooling performance by orchestrating both hardware and software components in edge computing applications.
ECO-Qube is a data driven approach which utilizes valuable unused data from active data centre components. Created big data is being used by an artificial intelligence augmented system which detects cooling and energy requirements instantaneously.
ECO-Qube differentiates from conventional cooling systems which keep operating temperatures within a strict interval and do not evaluate measurable cooling performance. Unmeasured cooling performance leads underperformed airflow, thermal disequilibrium, and high energy consumption. On the contrary, ECO-Qube offers a zonal heat management system which benefits from Computational Fluid Dynamics (CFD) simulations to adapt cooling system for the best airflow and cooling performance with minimum energy consumption. Moreover, ECO-Qube realizes smart workload orchestration to keep the CPUs at their most energy efficient state and maintain the thermal equilibrium to reduce overheating risk.
Sustainability is another priority for ECO-Qube’s smart energy management system (EMS), which is designed to track the energy demand and operate the energy supply in cooperation with building/district’s EMS. This synergy maximizes the energy supplied from renewable energy sources and minimizes the energy supplied from sources with big carbon footprint.
ECO-Qube solution will be assessed in three different pilots from different climatic conditions to validate energy efficiency under different external variables.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-LC-SC3-2018-2019-2020

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Coordinator

LANDE ENDUSTRIYEL METAL URUNLER SANAYI VE TICARET AS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 327 162,50
Address
MERVE MAH GAZI CAD 17 SANCAKTEPE
34791 Istanbul
Türkiye

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
İstanbul İstanbul İstanbul
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 467 375,00

Participants (12)

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