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Analysis of Thermal Power Plant on the Variation of Inlet Temperature


Call for Papers Engineering Journal, May 2019

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Analysis of Thermal Power Plant on the Variation of Inlet Temperature

Analysis of Thermal Power Plant on the Variation of Inlet Temperature

Sarvesh

Department of Mechanical Engineering Bhopal Institute of Technology & Science, Bhopal, India

Abstract The coal based thermal power plants play a very essential role to overcome power required in India. Dependency of thermal power plant in fossil fuel makes a little bit difficulty, environmental impacts due to fossil fuel has been always taken into consideration. The thermal power plants are designed based on required conditions, but actually inlet conditions are not as per the designed conditions. Variations in the power outputs from power plant are always a matter of disputes. So correction curves for power and heat rate are generated.

In this paper, the thermodynamic analysis of 210 MW thermal power plant has been done in a particular inlet pressure (130 bar) and at different inlet temperatures (790, 800, 810, 820, 830 K).

Keywords: Inlet temperature, Power output, Heat rate, Correction curve for power, Correction curve for heat rate.

  1. Introduction

    Thermal power is the biggest wellspring of intensity on the planet. In warm power plants, the normal warmth expansion is expanded by presenting a number of feed water radiators. The warm proficiency of the power plants can be expanded by receiving supercritical and ultra-supercritical conditions. Along these lines, there is an abundant extension to upgrade the steam conditions and streamline steam extraction weights further to enhance the plant efficiencies altogether [1].

    These contextual analyses have been performed on coal let go warm power plant. What's more, for these investigations, different working parameters have been looked over power plant. Parameters are steam weights, steam temperatures, back weights of steam, extraction line weight drops for high weight feed water radiator (warmer number 6), cosmetics water expansion in deaerator and number of feed water radiators. A power plant takes a shot at all these parameters and these parameters can be differed by the conditions. For instance if coal quality/amount fluctuates then produced steam weight and temperature can likewise differ. Back weight of steam can likewise differ because of spillages in condenser. In the event that erosion factor is viewed as then removed steam weight diminishes in pipeline. From the joints, little measure of steam or water spills from the plant with the goal that spillage sum must be included the deaerator as cosmetics water which is an open sort warm exchanger. What's more, according to the necessity or support work, feed water radiator sidesteps in this manner number of feed water warmers can likewise be fluctuated. Power yield and warmth rate have been computed in this work so both are clarified as; control yield can likewise be called as produced electrical power from control plant. This power yield has been assessed by considering mechanical

    misfortunes between turbine shaft/generator shaft and generator proficiency and warmth rate can be characterized as the proportion of warmth expansion in kettle to the influence yield from the plant . Brief portrayal of working of intensity plant is as delta water originates from high weight feed water warmer after feed water warming procedure. This feed water goes into the high weight kettle with the assistance of feed pump where water is changed over into high weight and temperature steam. This is finished by consistent weight warm expansion process in the evaporator and after that steam goes into the high weight, middle of the road weight and afterward low weight steam turbines separately. Steam grows in steam turbines and after that low weight/low temperature steam goes into condenser where that steam is changed over into soaked water by consistent weight warm dismissal process.

  2. LITERATURE REVIEW

    Adhikary et al. [1] investigated the reliability, availability and maintainability (RAM) characteristics of a 210 MW coal-fired thermal power plant (Unit-2) from a thermal power station in eastern region of India. Critical mechanical subsystems with respect to failure frequency, reliability and maintainability were identified for taking necessary measures for enhancing availability of the power plant and the results are compared with Unit-1 of the same Power Station. Reliability-based preventive maintenance intervals (PMIs) at various reliability levels of the subsystems are estimated also for performing their preventive maintenance (PM)

    Anjali T H and Dr. G Kalivarathan [2] In the current situation, a large portion of the power created all through the world is from steam control plants. Along these lines, it is critical to guarantee that the plants are working with most extreme productivity. Thermodynamic investigation of the warm power plant has been embraced to improve the productivity and dependability of steam control plants. The greater part of the power plants are outlined by the vigorous execution criteria in light of first law of thermodynamics as it were. The genuine helpful vitality misfortune can't be defended by the clench hand law of thermodynamics, since it doesn't separate between the quality and amount of vitality. The present work manages the correlation of vitality and exergy examination of warm power plant invigorated by coal. By and large, it is anticipated that even a little change in any piece of the plant will result in a huge change in the plant productivity. Elements influencing productivity of the Thermal Power Plant have been recognized and broke down for enhanced working of warm power plant.

    Ankur Geete and A.I. Khandwawala [3] The warm power plants are utilized to create control. The warm power plants are planned in light of required conditions, all things considered delta conditions are not according to the composed conditions. Varieties in the power yields from control plant are dependably a matter of question. So redress bends for power and warmth rate are created. In this paper, the thermodynamic investigation of 120 MW warm power plant has been done in a specific gulf weight (124.61 bar) and at various channel temperatures (507.78 1C, 517.78 1C, 527.78 1C, 537.78 1C,

    547.78 1C, 557.78 1C, and 567.78 1C). The remedy bends for power and warmth rate have been created for the joined impact of channel weight and distinctive delta temperatures. These bends show that if bay weight is 124.61 bar and delta temperatures differ, at that point control yield and warmth rate likewise fluctuate.

    Behra and Dash [4]With more than 150GW of introduced limit and around 723.8 BUs of power age amid 2008-09, India remains the fifth biggest customer of power on the planet. Coal terminated power plants represent the greater part of the introduced limit and obliges over 65% of the power request. Against the common routine with regards to proportion investigation being utilized for the execution estimation, the examination utilizes non-parametric Data Envelopment Analysis (DEA) to evaluate the relative specialized productivity and scale efficiencies of coal-based power plants in India. It is discovered that the normal specialized productivity of these plants is 83.2% with upwards of 38 plants beneath the mean level. Circulation of the less productive plants in various segments, districts, their associate gatherings and the arrival to scale properties are broke down.

    1. Panchal and D. Kumar [5] studied the medium size coal fired thermal power plamt using fuzzy approach know the behaviour of the CHU (Compressor House Unit). They had been indices vrius reliabity factors like failure rate, repair time, MTBF, Availability and reliability are computed at different spread/uncertainty level. The results were found very helpful to analyst to analyse the behaviour of the system and to plan suitable maintenance policy for improving the system availability.

      Gulhane et.Al [6] Effective vitality usage and its administration for limiting irreversibility has made human to search for productive vitality utilization and transformation. In view of a few research movement and nearby power plant encounter some key perception has made and is displayed in this paper The point of this paper is to be discover sum and wellspring of irreversibility's created in evaporator of 35 TPH heater in 6 MW hostage control plant with the goal that any procedure in the framework that having biggest vitality demolition can be distinguished that assistance planner to upgrade the framework segments.

  3. MATERIALS AND METHODOLOGY

    Performance Calculation of Thermal Power Plant Calorific value (CV)

    It is characterized as the amount under the 0°C and barometrical weight i.e. 1.013 bar of warmth freed on the total burning of a unit weight or unit volume of fuel. It is unit is kcal/kg, kJ/kg, J/mol, Btu/m³.or estimated in units of vitality per unit of the substance, normally mass.

    Gross Calorific Value (GCV)

    The higher calorific esteem (or) Gross calorific esteem (GCV) is the parameters which recuperated warm contained in this water and assumes that the water of burning is completely dense.

    Net Calorific Value (NCV):

    The lower calorific esteem (or) Net calorific esteem (NCV) is the examination parameters warm contained in this water isn't recuperated and assumes that the results of ignition contain the water of burning in the vapor state.

    Heat Rate (HR):

    Heat rate is the measure of framework productivity in warm power plants. It is the measure of warmth input required per unit of intensity create for particular fuel being terminated and particular site conditions. It is communicated in btu per net kwh.

    Fig 1: Relationship between steam turbine heat consumption and operating load

    Fig-2 Power plant view

    Fig- 3. Impact of condenser pressure on heat consumption

  4. RESULT AND DISCUSSION

Fig 4 Rankine cycle with T-s diagram

Fig 5 – Moisture Vs Efficiency %

Fig 6- load vs heat rate

Table 1 Correction factor for power with variation of inlet temperature

S.N

o

Temp (oC)

Pressure (Bar)

Power (MW)

Correction Factor

1

790

130

211.958

0.990

2

800

130

211.879

0.991

3

810

130

210.00

0

4

820

130

209.8

1.0009

5

830

130

208.5

1.007

Table 2 Correction factor for Heat rate with variation of inlet temperature

S.N

o

Temp (oC)

Pressure (Bar)

Heat rate

Correction Factor

1

790

130

2140.678

1.051

2

800

130

2170.215

1.037

3

810

130

2250.579

1

4

820

130

2275.334

0.989

5

830

130

2285.294

0.984

Fig 7- Change of Power for different Operating condition

Fig 8-Correction factor of power for different operating condition

Fig 9- Change of Heat Rate for different Operating condition

Fig 10- Correction factor of heat rate for different operating condition

CONCLUSION

From these contextual investigations, ideal working conditions have been found. Conditions, at which control yield from control plant will be most elevated or heat rate will be least. Most extreme estimations of the power yield from control plant and least estimation of the heat rate have been discovered which are 211.598 MW control and 2285.294 KJ/MW heat rate.

Following five different analyses are

    • At constant pressure 130 bar with variable inlet temperature 790 K to 830 K and at the temperature of 810 K with 130 Bar power is 210.00 correction factor is 1 which is ideal for any working condition of power plant.

    • At the same condition 810 K inlet temperature and

      130 bar assumed constant pressure, heat rate

      2250.579 which have 1 correction factor .

    • Heat rate depends on the design of plant, operating condition.

So from these contextual analyses, those working conditions can be chosen at which coal terminated warm power plant execution is ideal.

ACKNOWLEDGMENT

I say thanks to HOD, Department of mechanical engineering and Director, Bhopal institute of technology and science, Bhopal proving great support to complete my work honesty.

REFERENCES

[1] D. D. Adhikarya, G. K. Bosea, S Chattopadhyayb, D. Bosec and S. Mitrad, RAM investigation of coal-fired thermal power plants: A case study, International Journal of Industrial Engineering Computations, 3, 2011, 423434.

[2] Anjali T H and Dr. G Kalivarathan; Analysis of Efficiency At A Thermal Power Plant; (IRJET); Volume: 02 Issue: 05 | Aug-2015, e- ISSN: 2395-0056.

[3] Ankur Geete; Performance Analysis of Thermal Power Plant under Various Operating Conditions: A Case Study; MAYFEB Journal of Mechanical Engineering Vol 1 (2016) – Pages 1-9

[4] Santosh K Behera, and Ambika P Dash; Performance Analysis of Coal fired Power Plants in India; International Conference on Industrial Engineering and Operations Management Dhaka,

Bangladesh, January 9 10, 2010

[5] Dilbagh Panchal , Dinesh Kumar; Reliability Analysis of CHU system of Coal Fired Thermal Power Plant Using Fuzzy Approach; Procedia Engineering 97 ( 2014 ) 2323 2332.

[6] Sarang J. Gulhane, Prof. Amit Kumar Thakur, A. P. Pathre; Scope of Improving Energy Utilization in Coal Based Co-Generation on Thermal Power Plant Review; IJMER Vol. 3, Issue. 5, Sep – Oct. 2013 pp-2615-2625.

[7] Man Mohan Kakkar, Raj Kumar & Mukesh Gupta; Performance based comparative analysis of thermal power plant: a review; Proceedings of the National Conference on Trends and Advances in Mechanical Engineering,

[8] Ramandeep Kaur , Ishwinder Singh , Dr. Jyoti Saxena , Sonia Grover; Coal Analysis in Thermal Power Plant; IJIEEICE,Vol. 3, Issue 11, November 2015.

[9] Ravinder Kumar, Avdhesh Kr. Sharma, and P. C. Tewari; Thermal Performance and Economic Analysis of 210 MWe Coal-Fired Power Plant; Hindawi Publishing Corporation Journal of thermodynamics Volume 2014, Article ID 520183, 10 pages

[10] Umrao OP*, Arvind Kumar and Saini VK; Performance of Coal Based Thermal Power Plant at Full Load and Part Loads; Umrao et al., Global J Technol Optim 2017, 8:1

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