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This project aims to develop a simulation tool for evaluating the energy performance and sustainability costs of building data centers using renewable energy sources in smart cities. It focuses on energy monitoring and optimization, heat reuse, integration with smart grids, and standardization.
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Advanced concepts and tools for renewable energy supply of IT Data Centres Philip Inglesant, PhD. 451 Research Sustainable smart cities: from vision to reality October 13th, 2014
Potential of Renewable energy All renewable energy sources provide 3078 times the current global energy needs – Greenpeace 2007
Data Centresare IT factories Cooling Control Electricity consumption Redundancy DATA CENTRES - IT factories
Data Centres are part of the problem ... Source: Clicking Green, Greenpeace 2014
Data Centres in Smart Cities • Smart cities can reduce: • Energy use by 30% • Lighting by 30% • Building operating costs by 20% • Water use by 15% • Cut carbon emissions, improve air quality Source: Schneider-electric.com
RenewIT overall objective • To develop a simulation tool to evaluate the energy performance of different technical solutions integrating Renewable Energy in Data Centres www.renewit-project.eu
Data Centres in anenergy-efficient and environmentallyfriendly Internet “Development of system level technologies and associated services that improve the energy and environmental performance of urban data centers”
Data Centres in anenergy-efficient and environmentallyfriendly Internet Builds on earlier projects
Cluster objectives • Energy monitoring and optimisation • Renewable energy sources for Data Centres in cities • Heat reuse at urban neighbourhoodlevel • Integration of data centers with smart grid schemes • Standardization • Validation in real settings
RenewIT Tool • Web-based planning tool to help data centre owners, operators and design organizations understand the economic, energy and sustainability costs of building a facility which used high proportion of renewables
Energy efficiency Optimise the scheduling and placement of VMs
Advanced modelling • Quantify benefits of possible solutions • Model in TRNSYS • Meta-models incorporated in the RenewIT tool
Validation in real Data Centres Micro Data Centre testbench 4 Data Centres in southern Europe 4 Data Centres in northern Europe
Metrics and KPIs “The projects DOLFIN, GENIC, RenewIT, DC4Cities, GEYSER, GreenDataNet, All4Green and CoolEmAll will cooperate in order to share experiences on topics common in all these projects. The first common topic identified is metrics to measure Data Centre energy efficiency.”
Metrics to capture ... • Energy/Power Consumption metrics • PUE – Power Usage Effectiveness • CER – Cooling Effectiveness Ratio • EE – Energy Effectiveness for HVAC cooling mode in a season • Data Centre Flexibility • APC – Adaptability Power Curve • APCren – APC at Renewable Energies • DCA – DC Adapt • FER – Flexible Energy Rate • MER – Managed Energy Rate • MFER – Managed Flexible Energy Rate
Metrics to capture ... • DC Flexibility: Energy being federated • FEW – Federated Energy Weight • Federated COP • Federated RES • Renewables Integration: Energy produced locally and renewables usage • RenPercent • RenEPPercent • RenThermPercent • RenEPThermPercent • TotalEPPercent • REF – Renewable Energies Factor (local RES) • Grid interaction indicators
Metrics to capture ... • Energy Recovered: Heat Recovered • ReusePercent • ERE – Energy Reuse Effectiveness • Primary energy savings and CO2 avoided emissions • PE savings – Primary energy savings • CO2 savings – CO2 avoided emissions • Economic savings in energy expenses • EES – Energy Expenses Savings • Capacity planning & management • ITEE – IT Equipment Energy Efficiency
Renewit– project THANK YOU • www.renewit-project.eu • @EURenewIT
