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TRANSCRIPT
Data Collection and Data Management for High Volumes in an
Open Market
Stefan Grosjean, CEO, EnergyICT, Belgium
Overview
• Introduction
• Data collection
– Volumes
– Concentrators
– Smart meters
• Data Management
– Data validation
– Communication
– Multiple technologies
• Conclusion
• Founded in 1991 by Stefan Grosjean
• EnergyICT present in
• Information, Communication Technologies.
• Hardware, Software and Services.
• Applied in 2 niches: AMR/RMR - EDM and EMS
Company Profile:
Providing tomorrow’s Energy Metering Tools, today!
Overview
• Introduction
• Data collection
– Volumes
– Concentrators
– Smart meters
• Data Management
– Data validation
– Communication
– Multiple technologies
• Conclusion
VolumesDrivers for Smart Metering
• Deregulation
• Fraude evasion
• Non-estimated billing
• Kyoto
• Demand response
• Flexible Rules
Is this possible using register readings?
VolumesResidential Volumes
Example:
country with 16 000 000 inhabitants (eg.NL)
40 000 C&I Meters (daily reading)
BUT 160 000 Residential Concentrators
Conclusion:
Residential Volume = 4 x C&I volume
Datacollectionsystems must be able to handle HUGE volumes
Last mile solutions (residential), wireless using GSM/SMS/GPRS
EISERVER
SMSGPRS
Last mile solutions (residential)Using ADSL, Cable, Ethernet, PLC, ..
EISERVER
WWW
Concentrators added value multi-vendor system (Central versus Distributed Protocols?)
• Local protocolconversion
• Compact
• Encryption
• Authentication
• Push
Reduce the size of the data
Reduce the Communication Cost
Smart Meterssmart meters with residential customers
• 2 way communication:
– Demand Response
– (re)Connecting and Disconnecting Customers, ..
• Gas and water via E-meter:
– M-bus
– RF
• Gas and water via datalogger:
– SMS/GPRS (via telecom companies)
– PLC (own network)
– Wireless (868, 2400 MHz)
– IP (ADSL, Cable, WiFi, WiMAX)
Smart Meterspush vs. pull
• Technology
• Gas + water = Low Power PUSH
• Rates SMS/GPRS versus GSM-DATA
• Volumes make it impossible to pull
Push to concentrators, pull from concentrators
Remark:
– Security
– Permanent connections for peak pricing and demand-response
Overview
• Introduction
• Data collection
– Volumes
– Concentrators
– Smart meters
• Data Management
– Data validation
– Communication
– Multiple technologies
• Conclusion
Requirements
• Data validation, editing, estimation
• Automation
• National regulations
• Communication, performance, reliability
• Multi-vendor, more meters,..
• and Multi-technology
EISERVER™ = Energy Data warehouse and Data management
EIServer APISecurity, Spectors, Validation, ForecastingCode tables, VariablesTyped Folders, Virtual meters, ...
EISERVER = Open Architecture
Database
Importers & Exporters
.txt, .xls, 3rd party systems, EDI
FullClientGUI
WebClientGUI
Commserver
Energy meters & data loggers
ISDN
PSTN
GPRS
LAN
RS485
...
Full client users
Web client usersIntr
anet
or
WW
W
EnergyICTRTU’s
EIWeb
Pluggable classes
Customer specific Logic
Standard EIServerValidation, ..
Application Programming Interface, API =
Easy integration with 3rd party or legacy IT system s
Multi-vendor datacollection, AMRfor data collectors or grid companies
Communication protocols are developed as Java classes. They are used by the “central”Comservers, but can also be re-used on handheld devices running Java. EIServer re-uses the same technology..
Real-time monitoring (balancing, demand response, real-time pricing, ..)
Datavalidation (1)
Datavalidation (2)
Datavalidation (3)
Datavalidation (4)
Communication
EIS
CSJ3
CSJ2
CSJ1
= Meter
= ComServer
= Modempool
= Comport
WWW
Multiple Technologies (1)
EIServerSystem/Oracle Database
WWW
TCP/IP Modem
GSMGPRS
Oracle Database
EIServer
Multiple Technologies (2)
Overview
• Introduction
• Data collection
– Volumes
– Concentrators
– Smart meters
• Data Management
– Data validation
– Communication
– Multiple technologies
• Conclusion
EIServer’s Portal provides Energy Information to end users.
Messaging, transactions, EDI, ..
Exporting/Importing: UTIL T.S., Master Data, ..
Software: