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A SEMINAR PRESENTAION
ON
. OPTIMAL OPERATIONAL PRACTICE TO INCREASE PLANT LOAD FACTOR OF
THERMAL POWER PLANT
PRESENTED BY
HEMANT RAO
M.TECH (2020-21)
(2000520405008)
DEPARTMENT OF MECHANICAL ENGINEERING
INSTITUTE OF ENGINEERING TECHNOLOGY LUCKNOW
CONTENT
 INTRODUCTION
 LITERATURE REVIEW
 WORKING PRINCIPLE
 PROBLEM IDENTIFICATION
 RESEARCH OBJECTIVE
 RESULT AND DISCUSSION
 CONCLUSION
 REFERENCES
INTRODUCTION
 The capacity enhancement of coal fired power plants through operational
optimization, control techniques and better maintenance practice to improve the
Plant load factor (PLF) of plant.
 The utilisation factor of coal-based thermal power plants in India is consistently
falling.
 The average national capacity utilisation factor, commonly known as plant load
factor (PLF), has dwindled from 78.6% in 2007–08 to 56.01% in 2019–20. Several
highly efficient and modern power plants are destined to run at very low PLFs. On
top of this, 59,810 MW of new and advanced technology thermal power plants are
in pipeline
INDIAN SCENARIO:
 The Indian power sector is highly dependent on thermal power generation i.e., 62.2%
of total generation till June 2021.
 The power generation by coal forms about 53.6% of total energy generation as on
30.06.2020 as per Ministry of Power, installed capacity of power generation in India.
 The coal is fossil fuel which is a finite source of energy and is going to be exhausted.
Therefore, it is essential to generate the power with energy efficiently.
 The performance improvement of individual thermal power generating units
 Increased power generation and there-by reducing the demand supply gap
 Reduction in power generation cost and improving the competitiveness of Indian
industry
 Reduction in Greenhouse gas emissions and Global warming
Author , year key work Analysis
Ref
T. SUDHKAR
Dr. B ANJANAYA
PRASAD,
Dr. K. PRAHALD[1]
(2017)
Load factor
Economic efficiency
Operational efficiency
Aims to identify the operational gaps
associated with running operational
parameter in power plant process .
1
Wang and Li [2]
(JUNE 2019)
Ease of doing power
business
Analysis in the electric power industry
under the implementation of the
electricity market reform and a carbon
policy in China.
2
A. K. TRIPATHI [3]
(2021)
Future scenario of
PLF
Falling Capacity Utilization Of
Thermal Power Plants in India 3
LITERATURE REVIEW
WORKING OF THERMAL POWER PLANT
• A thermal power station is a power station in which heat energy is converted to
electric power. The share of thermal power plant in the overall power generating
capacity in India is 62.24%.
• In most, a steam-driven turbine converts heat to mechanical power as an
intermediate to electrical power .
• Based on Rankine cycle.
• Water is heated, turns into steam and drives a steam turbine which drives an
electrical generator. After it passes through the turbine the steam is condensed in
a condenser and recycled to where it was heated. It uses conventional sources of
energy like coal, diesel and other fuel oils to generate heat to produce the power.
LAYOUT OF THERMAL POWER PLANT
ANIMATION OF WORKING POWERPLANT
Problem
identification
Declination of PLF
Cause and
effect
Teriff rate
increases
Focus on
Renewable
energies
Timely Warning given
by National Green
tribunal
(NGT)
Role of
TRANSCOM
GENCOM
DISCOM
RESEARCH OBJECTIVE:
To find out the major factors responsible for falling Capacity
Utilization or plant load factor (PLF) of thermal power plants
in India.
Qualitative research : On the basis of literature surveys.
Quantitative research: Regression analysis using MS Excel
software on the basis of data published by ministry of
power.
Plant Load Factor:
 The Plant Load Factor is commonly considered as a measure of a power
plant’s capacity utilization.
 The Central Electricity Regulatory commission defines Plant Load Factor
as a percentage of energy sent out by the power plant corresponding to
installed capacity in that period.
 For example, if a power plant with an installed capacity of 500 MW operates
through the day at its maximum load, the energy generated will be: 500 MW
X 24hr = 12,000 MWh.
 The energy sent out by the plant when operating at 450 MW for 24 hours will
be: 450 MW X 24hrs = 10,800 MWh
 Plant Load Factor (PLF): 10,800 MWh ÷ 12,000MWh = 0.9 (90%)
Year National PLF % Sector-wise PLF (%)
Central State Private
2009–10 77.5 85.5 70.9 83.9
2010–11 75.1 85.1 66.7 80.7
2011–12 73.3 82.1 68.0 69.5
2012–13 69.9 79.2 65.6 64.1
2013–14 65.60 76.10 59.10 62.10
2014–15 64.46 73.96 59.83 60.58
2015–16 62.29 72.52 55.41 60.49
2016–17 59.88 71.98 54.35 55.73
2017–18 60.67 72.35 56.83 55.32
2018–19 61.07 72.64 57.81 55.24
2019–20 56.01 65.36 50.26 54.73
 Source-Government of India, Ministry of Power and Central Electricity Authority (CEA)
Result of Regression analysis using Excel:
Discussion on Factors affecting Thermal Power Capacity
Utilization or plant load factor on the basis of literature
surveys:
 Effect of Renewable Energy
 Low Growth of demand as against projected
 Overcapacity
 Financial health of DISCOMS.
 Fuel Availability
 Evacuation constraints
 Policy issues discouraging the thermal power generation
Conclusion
 Urgent review and reduction of fresh thermal capacity addition until 2024-25,
immediately starting phasing out of old inefficient thermal power plants,
policy and fiscal support to the power generator.
 According to report of Central Electricity Authority 2021-National PLF
should maintain at 68% & above.
 Otherwise many of the new, efficient thermal power assets created with large
capital investment may face unsustainably low level of utilization and may
become unavailable soon.
 Meanwhile electricity storage technologies should be supported (along with
renewable energy) with intensive R&D, policy push and incentives so that
renewable energy can sustain the grid when coal based generation is reduced.
Reference
1. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684,p-
ISSN: 2320-334X, Volume 14, Issue 1 Ver. II (Jan. - Feb. 2017), PP 57-64 .
2. Wang, P. & Li, M., Scenario analysis in the electric power industry under the
implementation of the electricity market reform and a carbon policy in China.
Energies, 12(11), 2152, 2019. http://dx.doi.org/10.3390/en12112152
3. International Journal of Energy Production & Management, Vol. 6, No. 1 (2021)
94-104

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seminar neww.pptx

  • 1. A SEMINAR PRESENTAION ON . OPTIMAL OPERATIONAL PRACTICE TO INCREASE PLANT LOAD FACTOR OF THERMAL POWER PLANT PRESENTED BY HEMANT RAO M.TECH (2020-21) (2000520405008) DEPARTMENT OF MECHANICAL ENGINEERING INSTITUTE OF ENGINEERING TECHNOLOGY LUCKNOW
  • 2. CONTENT  INTRODUCTION  LITERATURE REVIEW  WORKING PRINCIPLE  PROBLEM IDENTIFICATION  RESEARCH OBJECTIVE  RESULT AND DISCUSSION  CONCLUSION  REFERENCES
  • 3. INTRODUCTION  The capacity enhancement of coal fired power plants through operational optimization, control techniques and better maintenance practice to improve the Plant load factor (PLF) of plant.  The utilisation factor of coal-based thermal power plants in India is consistently falling.  The average national capacity utilisation factor, commonly known as plant load factor (PLF), has dwindled from 78.6% in 2007–08 to 56.01% in 2019–20. Several highly efficient and modern power plants are destined to run at very low PLFs. On top of this, 59,810 MW of new and advanced technology thermal power plants are in pipeline
  • 4. INDIAN SCENARIO:  The Indian power sector is highly dependent on thermal power generation i.e., 62.2% of total generation till June 2021.  The power generation by coal forms about 53.6% of total energy generation as on 30.06.2020 as per Ministry of Power, installed capacity of power generation in India.  The coal is fossil fuel which is a finite source of energy and is going to be exhausted. Therefore, it is essential to generate the power with energy efficiently.  The performance improvement of individual thermal power generating units  Increased power generation and there-by reducing the demand supply gap  Reduction in power generation cost and improving the competitiveness of Indian industry  Reduction in Greenhouse gas emissions and Global warming
  • 5.
  • 6. Author , year key work Analysis Ref T. SUDHKAR Dr. B ANJANAYA PRASAD, Dr. K. PRAHALD[1] (2017) Load factor Economic efficiency Operational efficiency Aims to identify the operational gaps associated with running operational parameter in power plant process . 1 Wang and Li [2] (JUNE 2019) Ease of doing power business Analysis in the electric power industry under the implementation of the electricity market reform and a carbon policy in China. 2 A. K. TRIPATHI [3] (2021) Future scenario of PLF Falling Capacity Utilization Of Thermal Power Plants in India 3 LITERATURE REVIEW
  • 7. WORKING OF THERMAL POWER PLANT • A thermal power station is a power station in which heat energy is converted to electric power. The share of thermal power plant in the overall power generating capacity in India is 62.24%. • In most, a steam-driven turbine converts heat to mechanical power as an intermediate to electrical power . • Based on Rankine cycle. • Water is heated, turns into steam and drives a steam turbine which drives an electrical generator. After it passes through the turbine the steam is condensed in a condenser and recycled to where it was heated. It uses conventional sources of energy like coal, diesel and other fuel oils to generate heat to produce the power.
  • 8. LAYOUT OF THERMAL POWER PLANT
  • 9. ANIMATION OF WORKING POWERPLANT
  • 10. Problem identification Declination of PLF Cause and effect Teriff rate increases Focus on Renewable energies Timely Warning given by National Green tribunal (NGT) Role of TRANSCOM GENCOM DISCOM
  • 11. RESEARCH OBJECTIVE: To find out the major factors responsible for falling Capacity Utilization or plant load factor (PLF) of thermal power plants in India. Qualitative research : On the basis of literature surveys. Quantitative research: Regression analysis using MS Excel software on the basis of data published by ministry of power.
  • 12. Plant Load Factor:  The Plant Load Factor is commonly considered as a measure of a power plant’s capacity utilization.  The Central Electricity Regulatory commission defines Plant Load Factor as a percentage of energy sent out by the power plant corresponding to installed capacity in that period.  For example, if a power plant with an installed capacity of 500 MW operates through the day at its maximum load, the energy generated will be: 500 MW X 24hr = 12,000 MWh.  The energy sent out by the plant when operating at 450 MW for 24 hours will be: 450 MW X 24hrs = 10,800 MWh  Plant Load Factor (PLF): 10,800 MWh ÷ 12,000MWh = 0.9 (90%)
  • 13. Year National PLF % Sector-wise PLF (%) Central State Private 2009–10 77.5 85.5 70.9 83.9 2010–11 75.1 85.1 66.7 80.7 2011–12 73.3 82.1 68.0 69.5 2012–13 69.9 79.2 65.6 64.1 2013–14 65.60 76.10 59.10 62.10 2014–15 64.46 73.96 59.83 60.58 2015–16 62.29 72.52 55.41 60.49 2016–17 59.88 71.98 54.35 55.73 2017–18 60.67 72.35 56.83 55.32 2018–19 61.07 72.64 57.81 55.24 2019–20 56.01 65.36 50.26 54.73  Source-Government of India, Ministry of Power and Central Electricity Authority (CEA)
  • 14. Result of Regression analysis using Excel:
  • 15.
  • 16. Discussion on Factors affecting Thermal Power Capacity Utilization or plant load factor on the basis of literature surveys:  Effect of Renewable Energy  Low Growth of demand as against projected  Overcapacity  Financial health of DISCOMS.  Fuel Availability  Evacuation constraints  Policy issues discouraging the thermal power generation
  • 17. Conclusion  Urgent review and reduction of fresh thermal capacity addition until 2024-25, immediately starting phasing out of old inefficient thermal power plants, policy and fiscal support to the power generator.  According to report of Central Electricity Authority 2021-National PLF should maintain at 68% & above.  Otherwise many of the new, efficient thermal power assets created with large capital investment may face unsustainably low level of utilization and may become unavailable soon.  Meanwhile electricity storage technologies should be supported (along with renewable energy) with intensive R&D, policy push and incentives so that renewable energy can sustain the grid when coal based generation is reduced.
  • 18. Reference 1. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684,p- ISSN: 2320-334X, Volume 14, Issue 1 Ver. II (Jan. - Feb. 2017), PP 57-64 . 2. Wang, P. & Li, M., Scenario analysis in the electric power industry under the implementation of the electricity market reform and a carbon policy in China. Energies, 12(11), 2152, 2019. http://dx.doi.org/10.3390/en12112152 3. International Journal of Energy Production & Management, Vol. 6, No. 1 (2021) 94-104