Energy Business Solutions A Real-Time Enterprise Solution for Guohua Electric Power Corporation

Energy Business Solutions

A Real-Time Enterprise Solution for Guohua Electric Power Corporation

Power Generation l Power IT Solutions 3Burkhard Frese / April 2004

Cockpit for GHEPC

Introduction: Guohua Electric Power Corporation

Business Requirements

The Business Solution:

Cockpit by Siemens: supporting Fleet Generation Management

Solution Modules

Cost Forecasting Capability Forecasting Extensions based on OSIsoft‘s PI system

A Closer Look

Achievements

Agenda


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Guohua Electric Power Corporation Power Plant Locations

Zhunge’er

Taishan

Dingzhou

Headquarter

PowerPlant

Location

CurrentIT Solution

Projects


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Xuejiawan Town, Erdos, Inner Mongolia, China

2 x 330 MW, coal-fired

in operation since April 2002

Guohua Electric Power Corporation Current Power IT Solution Projects

Tongluowan, Taishan CityGuangdong Province

8 x 600MW,coal-fired planned

First units in operation since Feb. 2004

Kaiyuan Town, Dingzhou City Hebei Province

2 x 660MW,coal-fired

First units in operationplanned for June 2004

Location:

Plant:

Schedule:


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Guohua Electric Power Corporation Requirements for Enterprise Solutions

Business Targets: • Preparation for competitive Chinese power market• Optimal quality of the product “electricity”

for usage in strategic marketing

Business Targets: • Preparation for competitive Chinese power market• Optimal quality of the product “electricity”

for usage in strategic marketing

Optimized technical, operative and strategic functions

Transparency of technical and business processes

Requirements


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Zhunge‘er Thermal Power Plant Installed systems

IT Solutions in Zhunge‘er

ProcessAutomation

ProcessSolutions

OperationsSolutions

BusinessSolutions

Cockpit Advanced Management Information Automated Data Exchange Production Cost Prognosis

Plant Information Management. Maintenance Management & Strategy Shift Management Safety Management Spare Parts Management Project & Outage Planning

Performance Monitoring/Optimization Advanced Unit Control Condensate Throttling Temperature Control


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A Real-Time Enterprise Solution for

Fleet Generation Management

based on the Cockpit system by Siemens

Cockpit is the integrating component of the Siemens Fleet and

Plant Management solution for the power generation industry.

Fleet Generation ManagementA Real-Time Enterprise Solution


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business and job functions

HistoricalInformation Forecasts

& Plans

LoadCapability

Production Costs

EnergyPrices

Energy Commit-ments

ReserveCapacity

Process data

MaintenanceManagement

Trading Operations

Fuels Management

In MarketAvailability

Plant Diagnostics

EnvironmentalManagement

PlantUtilization

key business information

DispatchingInformation

Real Time

Power PlantOperator(s)

Load Dispatcher

TraderExchangeManager

MaintenanceManager

FleetManagement

RiskMgmt

data sources

Calculation engine

Fleet Generation ManagementCentral Information Desk for Management


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FutureSystems

Technical Systems

I&C Systems

ERPSystems

Presentation of datauser friendly on one screen

Aggregation of data to information

Collection of data from all connected sources

Fleet Generation ManagementCockpit – Information Integration


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TemplatesTemplates

WebWebReportsReports

FutureSystems

Technical Systems

I&C Systems

ERPSystems

Navigation centeras single entry pointfor all information

Navigation to all information on your fingertips

Fleet Generation ManagementCockpit – Navigation


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Synchronizationof all data elementsto given point in time

Pick the time and find your answers

Fleet Generation ManagementCockpit – Time Synchronization


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Fleet Generation ManagementCockpit - Architecture Principles

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Production Costs

DCS

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DCS TXP+DCS TXP+DCS TXP+DCS TXP+

Siemens Energy Business Solutions

Business

Visualization Level

ManagingBoard Executive

Director

Power Station Management

Operations

Process

Plant APlant B

Plant CPlant D


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Calculation Modules Basic mathematical functionsAccumulation functionsLoad capability forecastProduction cost forecastLoad allocation

Data Exchange FunctionsMail in / out File read from / save to

Copy to databases

Embedded Calculation Engine

Fleet Generation ManagementCockpit – Function Modules


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Archive Data (from Process Control)Metering, Temperatures, Sunshine Hours

Archive Data (from Process Control)Metering, Temperatures, Sunshine Hours

ForecastsTemperature, Sunshine HoursForecastsTemperature, Sunshine Hours

Demand PrognosisHeat, PowerDemand PrognosisHeat, Power

Contract DataPeriods, Accounts, CostContract DataPeriods, Accounts, Cost

Tech. Risk ForecastPeriods, Accounts, Cost, ProbabilitiesTech. Risk ForecastPeriods, Accounts, Cost, Probabilities

Production Cost ForecastingLosses, Thermodynamics, Fuels, TemperatureProduction Cost ForecastingLosses, Thermodynamics, Fuels, Temperature

Plant DataRestrictions, CharacteristicsPlant DataRestrictions, Characteristics

Load Capability PrognosisGradients, Fuels, planned AvailabilityLoad Capability PrognosisGradients, Fuels, planned Availability

DispatchPeriods, Accounts, Cost, AvailabilityDispatchPeriods, Accounts, Cost, Availability

Fleet Generation ManagementModule: Production Cost Forecasting


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Thermodynamic calculation

Thermodynamic calculation

TurbineCharacteristicsExtractions

Description of water & steam process

BoilerCharacteristics

CondenserCharacteristics

Thermodynamic model:Calculation based on detailed technical data of the plant,

Production cost calculation

Number of preheatersNumber of pumps

Fleet Generation ManagementModule: Production Cost Forecasting withThermodynamic Models


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Legend:

CRC = Capability Relevant Component

Legend:

CRC = Capability Relevant Component

Fleet Generation ManagementModule: Load Capability Forecasting


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WHAT DOES THIS HAVE TO DO WITH OSIsoft PI?


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Main Extensions by Siemens:

Cockpit is based on PI

Interfaces

Graphical editor

Object-oriented modeling with Module Database (MDB)

Scheduled function calls with Advanced Computing Engine (ACE)

OSIsoft PI as basic platform mainly using:

1 Time-Series Management incl. Quality Tag

2 Future data for planning scenarios

3 Plant model templates in MDB

4 Object structure for recursive processing of functions

5 Drill down information with new display features

6 Navigation into correct position in connected application

7 Integration with plant maintenance data


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Extension for Time Series Management

Calculation of time series data –

needs Time series properties

• First data point (yesterday 2:00 pm)• Time range (2 days)• Interval between individual points (15 min)

Calculation of time series data –

needs Time series properties

• First data point (yesterday 2:00 pm)• Time range (2 days)• Interval between individual points (15 min)

Mainly needed for scheduled data

Showing load schedules or forecasted loads / emissions / production costs


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Log Tag Information for Time Series Calculations

Time series calculations need result quality check

0 = Good1 = Bad2 = Subst.


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Object structure

The structure for a plant will be delivered as template

- embedded in the MDB basic structure

- to be copied, completed and parameterized while project engineering

Hierarchical object structure


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Object structure

The structure for a plant will be delivered as template

- embedded in the MDB basic structure

- to be copied, completed and parameterized while project engineering

Hierarchical object structure


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Visualization Extension Combing process and maintenance

Color Coding for Availability of Components:

With combination of a plant maintenance system a visual observation of maintenance tasks is possible

Drill Down Navigation:

Right click on the object starts the information and navigation menu. In the static part are linked documents like drawings, characteristic curves, manuals or queries to an external system

In the dynamic part true query results are shown for the selected time

After Drill Down Navigation – Detail information file is opened


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Visualization Extension Context-related detail information (drill-down)

After selecting Work order in the Drill Down Navigation menu the program navigates into the maintenance program directly to the concerned input/information mask


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POTENTIAL EXTENSIONS:

(Already implemented by Siemensfor North American generators)


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Key Performance Indicators forIn-Market Availability


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Plant In Market Availability:

Market prices, average, incremental costs, risk of de-rate,committed and left over capacity define the in market availability of the plant.

Plant In Market Availability:

Market prices, average, incremental costs, risk of de-rate,committed and left over capacity define the in market availability of the plant.


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Plant Operation Overview:

Commercial and technical performance

- in market availability- unit operation status- inadvertent energy - unit emission values

Plant Operation Overview:

Commercial and technical performance

- in market availability- unit operation status- inadvertent energy - unit emission values


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CUSTOMER BENEFITS AND OPINIONS


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Guohua Electric Power Corporation Benefits

Modern Plant Maintenance Management

Automatic generation of work ordersAdequate maintenance strategyControl over stock of spare parts

Fit for Future Market Conditions

Flexible reaction to market changesRapid decision making

Busin

ess

Improved PlantOperation

High flexibilityDynamic optimization using online modelsPr

oces

sPl

ant


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Achievements

WHAT HAS THE CUSTOMER ACHIEVED?

"All requirements

for competitive markets fulfilled"

"Best starting position for future market liberalization"

"Optimized production and maintenance"


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Contacts

Siemens AG Power GenerationGermany

Burkhard Frese

Tel. +49 9131 18 – 6746

[email protected]

Documents

Energy Business Solutions A Real-Time Enterprise Solution for Guohua Electric Power Corporation