Data Center Smart Grid Integration Considering Renewable Energies and Waste Heat Usage. Of Data Centers, Smart Grids and a Greener Future

Transcription

1 Data Center Smart Grid Integration Considering Renewable Energies and Waste Heat Usage Of Data Centers, Smart Grids and a Greener Future Dipl.-Inform. Stefan Janacek Dr. Gunnar Schomaker <- Prof. Dr. Wolfgang Nebel

2 2 Motivation (1/2) Power consumption of data centers is important cost factor, demand rising Cloud-Computing, Tablet and Smartphone usage leads to growing data center demand Energy demand is not only a topic of costs! Germany: The Energy Turnaround decided by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety We have to include and focus on renewable energy sources! But: higher energy costs! Taxes, cost allocations, European competing neighbors Even if data center reduce power demands, the costs will rise!

3 3 Motivation (2/2) Optimize not only the data center, but the system as a whole Smart Grids Smart Cities Data center integration into energy networks Industrial demand side management Data centre and near entities should form synergy Data center consumes power, produces waste heat Heat rooms of local facilities, offices, Connect to available industrial cooling sources Waste heat demand varies in time and amount Use energy in its state no further conversion Strategy for optimal waste heat usage

4 4 Our Idea Install consumers at places where power is produced In future, power is increasingly generated distributed - like private prosumers Not all industries can be relocated Data center is relatively location independent Needs only power and network infrastructure Highly flexible data centers already available Example: Container Data Center! Integrate data center into Smart Grid As adjustable power consumer Heat generator Let data center use local infrastructure Profit from local advantages (cooling technologies dependent of local geology)

5 5 Approach: Integrating a Data Center into a Smart Grid Goals Data center uses power produced by local renewable energy sources Data center waste heat transferred to local facilities Data center architecture simplification: less redundancy by using smart grid infrastructure (power storages)

6 6 Data Center Requirements Data center can only react, if it can adjust itself! Flexible load management needed Virtualization, live-migration and server consolidation Virtualization as base technology for our data center research and models Holistic management combining load depended infrastructure components Dynamic server demands cause varying PUEs.:! Lets the data center operate in different energy states (power range!) Varying the number of active servers Using influences on power consumption of other components such as cooling, ips, Components demand driven timing constraints Energy states influence (waste) heat generation

7 7 Prerequisite: Smart Grid Simulation Framework Extensible Smart Grid simulation framework Contains power usage / generation profiles i.a. for photovoltaic and wind generators e-cars (consumer and storage) Households (consumer)

8 8 Smart Grid and Data Center Simulation: Conservative Approach Smart Grid and data center simulation Data center attached as normal consumer Same as hotels or small industries Consumes power Adjusted within power range No customization of data center architecture Does not consider full integration potential!

9 9 Smart Grid and Data Center Simulation: Our Approach What s new? Data center attached as own simulation model (SDCM) SDCM can react to events in the Grid, independent of notifications of Smart Grid simulation What s the benefit? SDCM observes the Grid and it s events Adapts its internal state to meet the Smart Grid conditions Much more conformance possible as simple consumer model allows

10 10 Surrogate Data Center Model (SDCM) How does it work? SDCM models complete data center including all dependent components Online learning by observing availability of energy and adaption while simulation is running Exchanges model parameters and components to find optimal architecture properties within the Data center Smart Grid has energy storages? Use Them! Data center without redundant emergency power generators SDCM builds suitable data center model

11 11 Surrogate Data Center Model (SDCM) Input Load profiles for servers / VMs Smart Grid power profiles (consume / generation) Smart Grid heat demand profiles To Smart Grid Adjustable consumer within defined power range Heat generator

12 12 What we plan - future research Model correlations of chronological behavior At what time does the Smart Grid need heating? When is the time of power excess? Predictions enable the data center to plan its reactions But still: How long does it take to change the data center s energy state? How long does the cooling components need to reflect this change? This information can heavily improve the model quality Higher potential for energy savings Aggregate additional information of Geographic Information Systems (GIS) Weather conditions Soil / water cooling potential

13 13 Summing-Up Power saving strategies for data centers best when considering the surrounding grid Save energy and especially CO 2 emissions Use information available to match demands of data center and Smart Grid Understand the data center as a location independent energy consumer Bring data center to Smart Grid Find best possible/ validate existing architecture and profile with simulations Surrogate Data Center Model used for this task Learning system that adapts to Smart Grid profiles

14 14 Thank You For Your Attention! Questions?