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

3

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

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4

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

9

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

SAM video

Thank you!Further information can be

found at eon-brand.com

Thank you!Further information can be

found at eon-brand.com**doplnit text**