Smart Asset Management - SAM - CEZ · SAM yesterday 7 80MB + x20 data
Transcript of Smart Asset Management - SAM - CEZ · SAM yesterday 7 80MB + x20 data
Smart Asset Management - SAMTrendy elektroenergetiky v evropském kontextu
Libor Kolá , E.ON Distribuce a.s.
Agenda
1. E.ON Smart Asset Management definitionHow we look at, handle and approach SAM
2. Decision-making, Data logicHow we decide, what obstacles we challenge, what‘s our IT hierarchy
3. SAM yesterdayDrivers behind SAM project
4. SAM todayWhat we have accomplished
5. SAM #tomorrowWhere we are going in 2017
Smart Asset Management
SAM _ Smart Asset Management definition
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Smart Asset Management is an IT support tool with the following functions:
Effective management of OPEX and CAPEX based on well-
defined set of criteria (technical state, importance, reliability…).
Support of technical development and financial plan, based on well-defined set of criteria in required
level of detail.
New business possibilities to analyse data from different
sources, e.g. for advanced asset management.
Interconnection of various distribution network database
systems, unified data storage and source for various functional
units.
Bottom up approach with SAM
TT.MM.JJJJ
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Where and when to invest?
Innovative approach of intelligent combination of 5 separated data cathegories
SAM
CAPEX data
OPEX data
Operati-onalstatedata
Outagesdata
Technical statedata
Technical and financial plan (LTP, MTP, annual)Plan for regions, voltage levels, type of assetsReports for regulationpurposesMulti-criteria analysisScenarios ofeconomic indicators
Intelligent algorithmswill create:
CAPEX or OPEX usage?
Which data do we need? How
to collect them?
Importanceof asset?
SAM _ decision making process
Year of construction 1956 1989
Purchase cost [EUR] 22 436 16 603Residual value [EUR] 0 5 813
Annual depreciation [EUR] 0 415
Regular repair costs [EUR] 1 428 982Operational failure costs [EUR] 2 267 13 206
Number of consumers 288 74Reserved capacity [MW] 4,76 1,16Consumption sum [MWh] 653 277
Length of operational failures [min] 1 720 682No. of outages 15 6
Priority no. 3 3Technical state index 55 % 62 %
CITEC 51% 59 %
CAPEX data
OPEX data
OPERATIONAL data
OUTAGES data
TECHNICAL data
SAP
Data volume and logic
Backendsystems
Data warehouse
Front end system
FI-AA
IS-U
PM
BW
(T)OMS
GIS
SCADA
BWFI-AA
IS-U
PM
PUDGIS DW SCAD
A
(T)OMS
external
external
Selfproduce
d
Self p.
VISU
ALIS
ATIO
NIN
TELL
IGEN
CE
INTE
GR
ATIO
N
PUD
SAM yesterday
7
80MB +
x20
data <2010
Local PC
TOMS OPU
SAP PM
TIS/GIS
SCADA
SAP AM
SAP CRM
SAP BW
Portál údržby
SAP ISU
MS Excel
TOMS MNT
200 thousand technical pointshierarchical data structure
8 mil. elements of the technical evidenceflat data structure
• Different views on distribution assets from our IT systems
• „Analog“ regular preventive maintenance
• PC serves as Data storage (robust data warehouse doesn‘t exist)
• MS Excel serves as data integration and decision-making platform
SAM todayValidated strategic approach
Proof-tested visualisation and analytical processes (STI)
Developed use-cases into IT project documentation
Backend extractors in development
DataWarehouse in development
Introduced and launched digital data collection
SAM today
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Validated strategic approach
Proof-tested visualisation and analytical processes (STI)
Developed use-cases into IT project documentation
Backend extractors in development
DataWarehouse in development
Introduced and launched digital data collection
SAM todayValidated strategic approach
Proof-tested visualisation and analytical processes (STI)
Developed use-cases into IT project documentation
Backend extractors in development
DataWarehouse in development
Introduced and launched digital data collection
1. CAPEX distribution and allocation (MTP)
2. Asset reliability and reliability-based maintenance and
optimization of RPM (OPEX)
3. Smart OPEX allocation to regions
4. Financial asset decay and optimization
SAM todayValidated strategic approach
Proof-tested visualisation and analytical processes (STI)
Developed use-cases into IT project documentation
Backend extractors in development
DataWarehouse in development
Introduced and launched digital data collection
SAM todayValidated strategic approach
Proof-tested visualisation and analytical processes (STI)
Developed use-cases into IT project documentation
Backend extractors in development
DataWarehouse in development
Introduced and launched digital data collection
SAM tomorrow (2017)
DWSAP
FI-AA
IS-U
PM
PUD
GIS DW
SCADA
(T)OMS
external
Self p.
Backend source data
Beta user access
MAIN GOALS:• Enabled users access to data
• Utilization of SAM Beta systém forCAPEX and OPEX tasks in 2017
Field collection
MILESTONES:
• Ensured data availability and consistency
• Utilized field-collected data
• Data extraction to DW