1) Matthieu-P. Schapranow of the Hasso Plattner Institute presented a proposal to enable real-time charging for smart grids using in-memory databases. 2) Currently, energy consumption is measured annually through manual or small range wireless readings, which lacks direct customer feedback and convenient billing details. 3) The proposed architecture utilizes an advanced metering infrastructure and realistic household energy consumption data stored in an in-memory database to enable intra-day billing with time-of-use pricing. 4) Benchmarking showed the in-memory database could perform billing calculations for 100,000 households in under a second, providing the capability for real-time charging.

1. Enabling Real-Time Charging for Smart Grid Infrastructures using In-Memory Databases 1st LCN Workshop on Smart Grid Networking InfrastructureOct 14, 2010 - Denver, CO, USA Matthieu-P. Schapranow Hasso Plattner Institute

2. Agenda Key Facts about the Hasso Plattner Institute Motivation Proposed Architecture Simulation Details Benchmarking Business Impacts SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 2

3. Key Facts about the Hasso Plattner InstituteInternals Founded as a public-private partnershipin 1998 in Potsdam near Berlin, Germany Institute belongs to theUniversity of Potsdam Ranked 1st in CHE 2009 500 B.Sc. and M.Sc. students 10 professors, 92 PhD students Course of study: IT Systems Engineering SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 3

4. Key Facts about the Hasso Plattner Institute Research Group Hasso Plattner / Alexander Zeier Research focus: real customer data for enterprisesoftware and design of complex applications In-Memory Data Management for Enterprise Applications Human-Centered Software Design and Engineering Maintenance and Evolution of SOA Systems Integration of RFID Technology in Enterprise Platforms Cooperations Academic: Stanford, MIT, etc. Industry: SAP, Siemens, Audi, etc. SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 4

5. MotivationHow to measure? “If you cannot measure it,you cannot improve it!” (William Thomson, 1st Lord Kelvin) SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 5

6. MotivationState-of-the-art Interval: Mainly annual meter readings Type: Mainly manual or small range wireless readings What is missing? Direct feedback for customers Convenient tracking methods Real-time billing details for cost control How much personnel involvement is required? SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 6

7. Proposed Architecture *Advanced Metering Infrastructure was simulated SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 7

8. Simulation DetailsMaster Energy Profile SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 8

10. Variance: +/- 5 percent per profile

11. 8-digit unique profile number

13. SAP’s Columnar In-Memory DB distributed across 3 blades, each 2 x Intel Xeon E5450 CPUs@3GHz, 4 cores, 32 kB L1, 12 MB L2, 64 GB DIMM DDR Data compression ratio about 8:1 in-memory BenchmarkingIn-Memory Prototype SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 11

14. BenchmarkingQuery Results for 100k households SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 12

15. Business ImpactsCurrent State: Post-payment Schema Fix contracts, e.g. for the period of 12 months Annual metering of power consumption Fixed down payments per month or quarter Pros: Not a single huge payment Cons: Over payment, when using less energy (bound money) No convenient way to measure saving impacts Provider changes are only rare SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 13

16. Business ImpactsFuture Outlook of Real-Time Charging Tracking of consumption on live data Instant feedback for customers Payments can be accurately adapted each month Basis for alternative payment methods, e.g. pre-paid Switching between energy providers instantly Select a certain provider for a certain time span or device Full cost control possible SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 14

17. Thank you for your interest!Keep in contact with us. Ralph Kühne, M.Sc. ralph.kuehne@hpi.uni-potsdam.de Matthieu-P. Schapranow, M.Sc. matthieu.schapranow@hpi.uni-potsdam.de Hasso Plattner InstituteEnterprise Platform & Integration ConceptsMatthieu-P. SchapranowAugust-Bebel-Str. 8814482 Potsdam, Germany Responsible: Deputy Prof. of Prof. Hasso PlattnerDr. Alexander Zeierzeier@hpi.uni-potsdam.de SGNI/LCN2010, Enabling Real-Time Charging for Smart Grid Infrastructures, Schapranow, Oct 14, 2010 15