Date post: | 25-Nov-2015 |
Category: |
Documents |
Upload: | rahulpatchi |
View: | 50 times |
Download: | 1 times |
SAP Smart Meter AnalyticsPowered by SAP HANASolution Overview
2011 SAP AG. All rights reserved. 2
Agenda
Key Trends and Issues Solution Overview Why SAP?
Appendix
2011 SAP AG. All rights reserved. 3
External PressuresMajor changes are elevating the strategic importance of data
Government Regulations Unbundling of energy markets Promotion of renewable energy and energy efficiency Enhanced regulatory reporting and rules
Market Environment Increasing competition New service business revenue opportunities More demanding customers
Technical Innovation AMI / Sensing & Measurement Technology Distributed generation Electric Vehicles
2011 SAP AG. All rights reserved. 4
Smart Metering is a Disruptive ChangeMassive volumes of data expected from this source
Example: Utility with 1.2 MM meters in Germany
1 reading per customer/year 1KB per reading__________________________
= ~ 1 GB raw data per year
Smart Meter
15-min (96 values) per customer/day 1KB per reading________________________________
= ~ 400GB raw data per year
Classic Meter
Vs.
Is it an Opportunity or a Problem?
2011 SAP AG. All rights reserved. 5
Imagine if you could
Increase adoption rates for demand-side management programs
Reduce direct energy costs via more accurate load forecasting
Achieve energy savings and emissions targets
Increase revenue from new energy services
Reduce revenue loss from theft
Boost customer satisfaction and retention
2011 SAP AG. All rights reserved. 6
Agenda
Key Trends and Issues Solution Overview Why SAP?
Appendix
2011 SAP AG. All rights reserved. 7
Powerful Customer Insights & Segmentation
Energy Efficiency Benchmarking
Platform for Consumption-driven Processes
Instant analysis of customers energy consumption and advanced segmentation based on smart meter data
Energy efficiency benchmarking based on statistical analysis of consumption data and root cause analysis
Pre-packaged, web service-enabled In-memory platform to enable consumption-driven business processes throughout the company
SAP Smart Meter AnalyticsPowered by SAP HANA
2011 SAP AG. All rights reserved. 8
Powerful Customer Insights and Segmentation
Capabilities: Instant analysis of massive volumes of
smart meter data at any level of granularity, aggregation, and dimension
Customer segmentation based on consumption pattern profiles, customer attributes, and consumption metrics
Benefits: Deliver targeted demand-side mgmt
programs and communications
Increase load forecast accuracy and savings in direct energy costs
Manage customer relationships based on customer value attributes, e.g. predictability
2011 SAP AG. All rights reserved. 9
0
0,01
0,02
0,03
0,04
0,05
0,06
0
0,01
0,02
0,03
0,04
0
0,01
0,02
0,03
0,04
0,05
0,00E+00
2,00E-02
4,00E-02
6,00E-02
8,00E-02
1,00E-01
0
0,01
0,02
0,03
0,04
0,05
0 hrs 24 hrs
cons
umpt
ion
[kW
h]
Instant aggregation at any level against the raw data setAt the finger tips of the business users
2011 SAP AG. All rights reserved. 10
Pattern Profiles Understanding Customer Usage
0
0,01
0,02
0,03
0,04
0,05
0,06
0
0,01
0,02
0,03
0,04
0
0,01
0,02
0,03
0,04
0,05
0,00E+00
2,00E-02
4,00E-02
6,00E-02
8,00E-02
1,00E-01
0
0,01
0,02
0,03
0,04
0,05
0 hrs 24 hrs
cons
umpt
ion
[kW
h]
Millions of daily consumption profiles contain valuable information about customer behavior for a better energy management
typical size: millions of daily profiles1
Instead of exploring millions of individual profiles it is sufficient to take a look at the typical pattern in the data to understand user behavior. Those pattern are the basis for other follow-up processes
3
In-memory pattern recognition algorithm crunches typical load profiles out of those huge amount of data to summarize those data and categorize user behavior.
2
2011 SAP AG. All rights reserved. 11
Compelling User Interface enables business users
2011 SAP AG. All rights reserved. 12
Energy Efficiency Benchmarking
Capabilities: Energy efficiency benchmarking that
compares customers against peer group based on statistical predictions
On-the-fly update of benchmarking attributes (e.g., square footage, location)
Root cause analysis of energy usage variance based on automated heuristics
Benefits: Improve energy efficiency of end
customers
Increase revenues by up-selling and cross-selling new energy services
Help reach energy saving targets
2011 SAP AG. All rights reserved. 13
How Energy Efficiency Benchmarking works in SAP Smart Meter Analytics
0
5
10
15
20
25
30
35
40
45
1 hrs
3 hrs
5 hrs
7 hrs
9 hrs
11 hrs
13 hrs
15 hrs
17 hrs
19 hrs
21 hrs
23 hrs
range of expected
predictionactual
This customer is consuming more energy than predicted and deviates from the expected consumption pattern in particular in the late afternoon!
Customer type Type of building Electrical devices Historic behavior
of similar customers
Temperature dependency
2011 SAP AG. All rights reserved. 14
Compute benchmark for peer group and identify outliersA benchmarking example
Business Objective From a retailer chain with ~ 500
stores find those stores which are least energy efficient and would profit from energy management services.
Available Data: Half hourly Smart Meter Data Climatic region Sales square footage Number of opening hours
Energy Benchmarking:Compute a regression model from the data of all stores, which estimates the dependency of consumption on facility configuration.
Relative Store-level Energy EfficiencyAny surplus consumption which cannot be justified from what we know about the store is an energy services opportunity.
2011 SAP AG. All rights reserved. 15
Actionable insight readily available on mobile devicesA benchmarking example
2011 SAP AG. All rights reserved. 16
Flexible and dynamic scorecard reportingA benchmarking example
2011 SAP AG. All rights reserved. 17
Drill-down capability for on-the-spot root cause analysisA benchmarking example
2011 SAP AG. All rights reserved. 18
Platform for Consumption-Driven ProcessesSAP Smart Meter Analytics
SAP Smart Meter AnalyticsCore Capabilities
Aggregation Pattern Recognition Benchmarking Exploration
Energy Portfolio Management
Energy Settlement
Tariff Development
Balance and Demand ForecastingGrid Management DSM ActivitiesOnline Portal
Fraud DetectionCustomer Service
Energy Services
Churn Management
2011 SAP AG. All rights reserved. 19
Architecture OverviewSAP Smart Meter Analytics
SAPBusiness Suite
SAP HANA
In-Memory
SAP Smart MeterAnalytics
Engine=
ccg tdytdy ),(),(
SAP NetWeaver BW 7.3
MDUS (MDM system)
Marketing data, Weather data
External data
SAP NetWeaver 7.3
Smart MeterAnalytics
Application
SAP BW ETL
Utility Content
SAP BusinessObjectsData Services
Meter Data Unification System (MDUS) Template
SAP NetweaverBusiness Client
Third party apps
Web portals & mobile apps
2011 SAP AG. All rights reserved. 20
SAP HANA and in-memory computing technology impacts velocity, volume and value
460BData records analyzed in less than a second
21%*Average increase in revenue
3600xFaster reporting speed
* Source: Oxford Economics
2011 SAP AG. All rights reserved. 21
Why SAP Smart Meter Analytics, powered by SAP HANA?
Complete Business Process
Power of SAP In-Memory
Computing
Flexible and Configurable
Analytics
Leverage data you already have to extract maximum insight from smart meter data and push actionable intelligence back into CRM and other systems
Get instant results for aggregations at any level, as well as complex calculations that run against the raw data set
Enable business users to navigate through your data to identify issues and understand root causes
Business Impact
2011 SAP AG. All rights reserved. 22
Agenda
Key Trends and Issues Solution Overview Why SAP?
Appendix
2011 SAP AG. All rights reserved. 23
The SAP difference
Lightning Fast EasyTrusted
Anytime Industry/LoB Expertise
Collaborative
Thank You!
2011 SAP AG. All rights reserved. 25
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice.Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors.
Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, System z9, z10, z9, iSeries, pSeries, xSeries, zSeries, eServer, z/VM, z/OS, i5/OS, S/390, OS/390, OS/400, AS/400, S/390 Parallel Enterprise Server, PowerVM, Power Architecture, POWER6+, POWER6, POWER5+, POWER5, POWER, OpenPower, PowerPC, BatchPipes, BladeCenter, System Storage, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, Parallel Sysplex, MVS/ESA, AIX, Intelligent Miner, WebSphere, Netfinity, Tivoli and Informix are trademarks or registered trademarks of IBM Corporation.Linux is the registered trademark of Linus Torvalds in the U.S. and other countries.Adobe, the Adobe logo, Acrobat, PostScript, and Reader are either trademarks or registered trademarks of Adobe Systems Incorporated in the United States and/or other countries.Oracle and Java are registered trademarks of Oracle and/or its affiliates.UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group.Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems, Inc.HTML, XML, XHTML and W3C are trademarks or registered trademarks of W3C, World Wide Web Consortium, Massachusetts Institute of Technology.
2011 SAP AG. All rights reserved.
SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer, StreamWork, and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries.
Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects Software Ltd. Business Objects is an SAP company.
Sybase and Adaptive Server, iAnywhere, Sybase 365, SQL Anywhere, and other Sybase products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Sybase, Inc. Sybase is an SAP company.
All other product and service names mentioned are the trademarks of their respective companies. Data contained in this document serves informational purposes only. National product specifications may vary.
The information in this document is proprietary to SAP. No part of this document may be reproduced, copied, or transmitted in any form or for any purpose without the express prior written permission of SAP AG.
2011 SAP AG. All rights reserved. 26
Weitergabe und Vervielfltigung dieser Publikation oder von Teilen daraus sind, zu welchem Zweck und in welcher Form auch immer, ohne die ausdrckliche schriftliche Genehmigung durch SAP AG nicht gestattet. In dieser Publikation enthaltene Informationen knnen ohne vorherige Ankndigung gendert werden.
Die von SAP AG oder deren Vertriebsfirmen angebotenen Softwareprodukte knnen Softwarekomponenten auch anderer Softwarehersteller enthalten.
Microsoft, Windows, Excel, Outlook, und PowerPoint sind eingetragene Marken der Microsoft Corporation.
IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, System z9, z10, z9, iSeries, pSeries, xSeries, zSeries, eServer, z/VM, z/OS, i5/OS, S/390, OS/390, OS/400, AS/400, S/390 Parallel Enterprise Server, PowerVM, Power Architecture, POWER6+, POWER6, POWER5+, POWER5, POWER, OpenPower, PowerPC, BatchPipes, BladeCenter, System Storage, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, Parallel Sysplex, MVS/ESA, AIX, Intelligent Miner, WebSphere, Netfinity, Tivoli und Informix sind Marken oder eingetragene Marken der IBM Corporation.
Linux ist eine eingetragene Marke von Linus Torvalds in den USA und anderen Lndern.
Adobe, das Adobe-Logo, Acrobat, PostScript und Reader sind Marken oder eingetragene Marken von Adobe Systems Incorporated in den USA und/oder anderen Lndern.
Oracle ist eine eingetragene Marke der Oracle Corporation.
UNIX, X/Open, OSF/1 und Motif sind eingetragene Marken der Open Group.
Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame und MultiWin sind Marken oder eingetragene Marken von Citrix Systems, Inc.
HTML, XML, XHTML und W3C sind Marken oder eingetragene Marken des W3C, World Wide Web Consortium, Massachusetts Institute of Technology.
2011 SAP AG. Alle Rechte vorbehalten.
Java ist eine eingetragene Marke von Sun Microsystems, Inc.
JavaScript ist eine eingetragene Marke der Sun Microsystems, Inc., verwendet unter der Lizenz der von Netscape entwickelten und implementierten Technologie. SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer, StreamWork und weitere im Text erwhnte SAP-Produkte und -Dienstleistungen sowie die entsprechenden Logos sind Marken oder eingetragene Marken der SAP AG in Deutschland und anderen Lndern.
Business Objects und das Business-Objects-Logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius und andere im Text erwhnte Business-Objects-Produkte und -Dienstleistungen sowie die entsprechenden Logos sind Marken oder eingetragene Marken der Business Objects Software Ltd. Business Objects ist ein Unternehmen der SAP AG.
Sybase und Adaptive Server, iAnywhere, Sybase 365, SQL Anywhere und weitere im Text erwhnte Sybase-Produkte und -Dienstleistungen sowie die entsprechenden Logos sind Marken oder eingetragene Marken der Sybase Inc. Sybase ist ein Unternehmen der SAP AG.
Alle anderen Namen von Produkten und Dienstleistungen sind Marken der jeweiligen Firmen. Die Angaben im Text sind unverbindlich und dienen lediglich zu Informationszwecken. Produkte knnen lnderspezifische Unterschiede aufweisen.
Die in dieser Publikation enthaltene Information ist Eigentum der SAP. Weitergabe und Vervielfltigung dieser Publikation oder von Teilen daraus sind, zu welchem Zweck und in welcher Form auch immer, nur mit ausdrcklicher schriftlicher Genehmigung durch SAP AG gestattet.
Appendix
2011 SAP AG. All rights reserved. 28
Sample AMI system architecture with SAP Smart Meter Analytics
Sm
art
Met
ers
AMI
AMI
Sm
art
Met
ers
MDUS
TOU Blocks
Interval Data
Meter Reading
Master Data
Process Data
Event Data
Customers
Smart Meter Analytics
Technical Infrastructure Business Process Execution
2011 SAP AG. All rights reserved. 29
Another sample AMI system architecture with SAP Smart Meter Analytics
Interval Data
Technical Infrastructure Business Process Execution
Sm
art
Met
ers
AMI
AMI
Sm
art
Met
ers
MDUS
TOU Blocks
Meter Reading
Master Data
Process Data
Event Data
Metering / Distribution Company
Customers
MDUS
Retailer
Depending on market model
Interval Data
Market Communication of
Interval DataSmart Meter Analytics
Smart Meter Analytics
SAP Smart Meter AnalyticsPowered by SAP HANASolution OverviewAgendaExternal PressuresMajor changes are elevating the strategic importance of dataSmart Metering is a Disruptive ChangeMassive volumes of data expected from this sourceImagine if you couldAgendaSAP Smart Meter AnalyticsPowered by SAP HANAPowerful Customer Insights and SegmentationInstant aggregation at any level against the raw data setAt the finger tips of the business usersPattern Profiles Understanding Customer UsageCompelling User Interface enables business usersEnergy Efficiency BenchmarkingHow Energy Efficiency Benchmarking works in SAP Smart Meter AnalyticsCompute benchmark for peer group and identify outliersA benchmarking exampleActionable insight readily available on mobile devicesA benchmarking exampleFlexible and dynamic scorecard reportingA benchmarking exampleDrill-down capability for on-the-spot root cause analysisA benchmarking examplePlatform for Consumption-Driven ProcessesSAP Smart Meter AnalyticsArchitecture OverviewSAP Smart Meter AnalyticsSAP HANA and in-memory computing technology impacts velocity, volume and valueWhy SAP Smart Meter Analytics, powered by SAP HANA?AgendaThe SAP differenceThank You!Slide Number 25Slide Number 26AppendixSample AMI system architecture with SAP Smart Meter AnalyticsAnother sample AMI system architecture with SAP Smart Meter Analytics