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Flexible Operation Integrating thermal power with Renewable Energy - - PowerPoint PPT Presentation

Flexible Operation Integrating thermal power with Renewable Energy & Challenges Y M Babu 1 Technical Services, Noida Why Flexible Operation? Limitations with Renewable generation has called for flexible operation: Intermittent and


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Flexible Operation

Integrating thermal power with Renewable Energy & Challenges Y M Babu Technical Services, Noida

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Why Flexible Operation?

Limitations with Renewable generation has called for flexible

  • peration:

 Intermittent and variable  Season and Weather dependent  Location and time of day dependent  Does not match the load demand curve  Wind generation is unpredictable  Solar generation is predictable but non controllable

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Integration of Renewable Energy in Grid

 Balancing by conventional energy sources (large part of which is

thermal) is required.

 Greater the penetration of RE in grid, greater is the requirement

  • f balancing.

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Expectation from Thermal plants

 Backing down and cyclic loading  Frequent start/stops may be required  Higher ramping rates during loading and unloading

But base load conventional plants are not designed for such cyclic loading.

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Start-up of Steam turbines (BHEL make)

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Start type Outage hours Mean HP Rotor temperature (deg C) Start-up time (Rolling to full load in min. approx) Cold Start 190 hr 150 deg C 255 Warm Start 48 hr 380 deg C 155 Hot Start 8 hr 500 deg C 55

Normal Mode : 2000-2200 starts Slow Mode : 8000 starts Fast Mode : 800 starts

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Effect of Load Cycling on Power Plant Components

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Creep – Slow and continuous deformation of materials due to high temperature exposure even at constant load Thermal Fatigue – Failure of metal when subjected to repeated

  • r fluctuating stresses due to thermal cycling of components

Components affected – HP/IP rotors, Blades, Casings, Valves, Header, Y-Piece, T-piece, MS/HRH Pipelines and pressure parts.

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Life Expenditure of Components

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Operating Steam Pressure Life Time Consumption Creep Damage Stress Fatigue Damage Creep Rupture Strength Mechanical Stress Thermal Stress Type of Material Operating Stress Operating Steam temperature Steam Pressure inside a thick – walled component Physical properties of a material Geometrical Dimensions of a thick walled components Temperature Difference inside a thick –walled component

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Life Expenditure Computation

The consumed life of a component is the sum of the life consumed by Creep & Low Cycle Fatigue MINER SUM MC IS INDICATOR OF THE LIFE EXPENDED DUE TO CREEP

&

MINER SUM MF IS INDICATOR OF THE LIFE EXPENDED DUE TO LOW CYCLE FATIGUE

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Life Expenditure Computation

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FOR STATIONARY COMPONENTS : M = MC + MF = 1 WARNING POINT FOR ROTATING COMPONENTS : M = M C + MF = 0.5 WARNING POINT Approaching the Warning Point of Effective Miner Sum indicates that the life of the component has reached its limit.

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Impact of Cycling on Equipment and Operation

 Critical components are subjected to thermal stresses which are

cyclic in nature

 Higher fatigue rates leading to shorter life of components  Advanced ageing of Generator insulation system due to increased

thermal stresses

 Efficiency degradation at part loads  More wear and tear of components  Damage to equipment if not replaced/attended in time  Shorter inspection periods  Increased fuel cost due to frequent start-ups  Increased O&M cost

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Other Operational Risks

 Ventilation in HP and LP Turbine

at lower loads

 Droplet erosion of LP blades  Excitation of LP blades due to ventilation  Frequent start/stop of major auxiliaries

(PA/FD/ID fans, BFP) reduces their reliability.

 Increased risk for pre-fatigued components.  Drop in efficiency & high Auxiliary Power Consumption (APC) at

partial loads

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Age of Thermal Power Plants In India (in Years)

5000 10000 15000 20000 25000 30000 35000 40000 45000 0-5 years 6-10 years 10-15 years 15-20 years 20-25 years > 25years 43357 MW 22610 MW 8359 MW 7780 MW 5630 MW > 25years, 29549 MW MW CAPACITY AGE GROUP

Number of Sets

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Assumed Load Demand Curve

  • n Thermal Machines

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20 40 60 80 100 120

40% 80% 100% 80% 2% / min 3% / min

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Impact Assessment of Load Cycling

  • Impact of cyclic operation on BHEL supplied equipment with

assumed load curve has been investigated.

  • Lower load upto 55% of rated and a ramp down rate of 2%/min

and ramp up rate of 3%/ min. has been established.

  • Studies are being conducted to assess the impact on component

life with loads as low as 40% of the rated load.

  • It is assumed that main steam and HRH temperatures are kept

constant and Unit is operated in sliding pressure mode.

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Cyclic Operation - Findings

 Preliminary studies indicate that load backing from 100%-55%

load at a ramp rate of 2%-3% per minute will not have significant impact on life consumption of Turbine, Boiler, Generator & ESP.

 However this mode of operation will have additional cost in

terms of lower efficiency at part loads.

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 Backing down below 55% load and/or increase in ramp rates will

have effect on the fatigue life of the equipment.

 Backing down below 55% load will also have other negative

impacts on the equipment as discussed earlier and need further investigation in detail.

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Mitigating the Effect of Cycling

 Additional Condition monitoring systems/ Sensors  Improved design of Boiler and Turbine to allow faster ramping

and increased number of cycles

 Adaptation of Control System  Older plants may require RLA to assess the cycling impact on

already fatigued components.

 Replacement of fatigued/ worn-out components  Shorter inspection period

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Condition Monitoring for Flexible operation

 Complete operation data is available.  Scheduling of RLA.  Continuous online consumption of life expenditure.  Detection of highly stressed parts for inspection.  Exploring the margins available for optimization of operating

modes.

 Online monitoring of Generator components as early warning

system.

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Condition Monitoring Systems

 Turbine Stress Controller (TSC)  Boiler Stress Monitoring System (BOSMON)  Blade Vibration Monitoring System (BVMS)  Stator End Winding Vibration Monitoring  Rotor Flux Monitoring  Partial Discharge Monitoring  Additional sensors for health monitoring

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Primary frequency control by regulating turbine extraction

 Frequency control technique, allowing for fast response

even though boiler response is slow

 Reducing the flow through extractions helps in raising the

load as steam is forced through turbines

 Feed forward command given to boiler master for

increasing boiler load for further sustaining the load increase.

 Load increase up to 7% is achievable on case to case basis

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Model based Predictive Control (MPC)

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Existing PID Controller Philosophy MPC Philosophy

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Model based Predictive Control (MPC)

Advanced type controller primarily for steam temperature control for both SH & RH:

 Consists of predictor & controller  Predictor creates models based on past operating data and

then predicts the parameters in future course

 Based on the prediction, the controller regulates the spray

control valves.

 Continuous communication between MPC & DCS.  Automatic updation of models.

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Model based Predictive Control (MPC)

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During training of MPC

Switching scheme for MPC

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Conventional PID Control MPC Software runs in Workstation Inputs to PID Controller Inputs to MPC Software PID Selection from HMI Station Relevant DPU in MAX DCS PID Output to DESH spray control valve

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Model based Predictive Control (MPC)

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During running of MPC

Switching scheme for MPC

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Conventional PID Control MPC Software runs in Workstation Inputs to PID Controller Inputs to MPC Software Selection from HMI Station Relevant DPU in MAX DCS MPC Output to DESH spray control valve

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Online Coal Analyzer

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Key Aspects Coal Flow Measurement Sieve Analysis Coal & Ash Characterisation

 Experiments with different loading rates are being

conducted.

 The online coal analyser is under development stage.

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Online Coal Analyzer (Contd.)

 Coal flow & fineness through each pipe can be measured  Better control over air/ fuel ratio  Better control over fineness  Better control over burner performance  Combustion and temperature profiles within the furnace

can be improved.

 Slagging & fouling issues can be reduced

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Flame Scanners

 Key requirements:  Reliability for detecting flame of coals with low VM.  Reliability at low load operation.  Reliability for fuel flexible operation.

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Flue Gas Temperature Control

 Minimum flue gas temperature to be achieved using SCAPH

to meet air heating requirements.

 Avoid acid corrosion in APH baskets and downstream

equipment.

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Renewables integration – Overall impact

Thus increased penetration of renewables will lead to

 Increased cost due to cycling resulting in higher tariff from

conventional sources

 Reduced equipment life and thus earlier replacement of

plants

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