scholarly journals Performance and boiler efficiency using low-grade coal on 400 MWe coal-fired power plant: case study of Suralaya Power Plant Unit 2

2021 ◽  
Vol 882 (1) ◽  
pp. 012033
Author(s):  
Eko Supriyanto ◽  
Nur Cahyo ◽  
Ruly Sitanggang ◽  
Rasgianti ◽  
Meiri Triani ◽  
...  

Abstract In a coal steam power plant, changes in coal quality significantly affect plant performance, especially in its boiler. A coal-fired power plant with a capacity of 400 MWe had been commissioned using coal with a calorific value of 5,242 kCal/kg. This study aims to determine the effect on unit performance and boiler efficiency due to changes in fuel use with the typical calorific value of 3,520 kCal/kg, 34,17% lower than the initial design. The performance tests were conducted using the heat loss method at loads: 50%, 65%, 75%, and 100%. The test result showed that using low-grade coal reduces boiler efficiency by 6.26%. There were four dominant boiler losses: heat loss due to moisture in dry flue gas, heat loss due to combustible in refuse, heat loss due to moisture in fuel, and heat loss due to hydrogen burning. Furthermore, the gross plant heat rate using low-grade coal was increased from 2,120 kCal/kWh to 2,718 kCal/kWh; however, the electric price becomes cheaper from 1.99 cent-USD/kWh becomes 1.31 cent-USD/kWh.

JTAM ROTARY ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 109
Author(s):  
Asep Mohamad ◽  
Rachmat Subagyo

Penelitian ini bertujuan untuk mengetahui nilai efisiensi boiler komisioning dibandingkan dengan nilai saat ini dan untuk mengetahui penyebab penurunan efisiensi pada Unit 2 Boiler Asam PLTU. Penelitian ini dimulai dengan mengumpulkan data Uji Kinerja selama commissioning dan data empat tahun saat ini dari 2014 hingga 2018. Selanjutnya, kehilangan panas yang dilakukan dihitung dan dibandingkan. Perhitungan dilakukan menggunakan ASME PTC 4-2008 Metode Kehilangan Panas Standar. Berdasarkan hasil perhitungan, dapat disimpulkan bahwa nilai Efisiensi Boiler base HHV tertinggi di Unit 2 PLTU Asam Asam adalah 86,23% pada Commissioning dan nilai Efisiensi Boiler Base HHV tertinggi kedua adalah 84,42% pada 9 Agustus 2017, sementara Efisiensi Boiler pangkalan HHV terendah adalah 82,12% pada 2 Oktober 2014. Kehilangan panas yang paling mempengaruhi efisiensi Boiler Unit 2 adalah Kehilangan Panas karena Panas dalam Gas Buang Kering (5,79% - 7,96%), Kehilangan Panas karena Kelembaban dalam Bahan Bakar (4,07% - 5,57)%) dan Kehilangan Panas karena Kelembaban dari Pembakaran Hidrogen dalam Bahan Bakar (3,85% - 5,04%). This study aims to determine the value of commissioning boiler efficiency compared with current value and to know the causes of efficiency decrease in Unit 2 Boiler of Asam Asam Coal Fired Steam Power Plant. This research begins with collecting data of Performance Test during commissioning and current four years data from 2014 until 2018. Furthermore, heat losses that carried out are calculated and compared. Calculations performed using ASME PTC 4-2008 Standard Heat Loss Method. Based on the calculation results, it can be conclude that the highest HHV base Boiler Efficiency value in Unit 2 of Asam Asam Power Plant is 86.23% at Commissioning and the second highest HHV Base Boiler Efficiency value is 84.42% on August 9, 2017, while the lowest HHV base Boiler Efficiency is 82.12% on October 2, 2014. Heat loss that most affects the efficiency of Unit 2 Boiler is Heat Loss due to Heat in Dry Flue Gas (5.79% - 7.96%), Heat Loss due to Moisture in Fuel (4.07% - 5.57) %) and the Heat Loss due to Moisture from Burning of Hydrogen in Fuel (3.85% - 5.04%).


Author(s):  
Chaouki Ghenai ◽  
Ahmed Amine Hachicha

This paper presents results on the performance of 10 MW biomass-fired steam power plant. The main objective is to test the performance of the power plant using different type of biomass fuels: bagasse, corn stover, forest residues, and urban wood residues. The biomass fuel was mixed with sub-bituminous coal with fractions of 0–100%. The effect of excess combustion air, flue gas temperature, and the parasitic loads on the power plant performance was investigated. The output results from the heat and mass balance analysis include the monthly and annual electrical power generated, capacity factor (CF), boiler efficiency (BE), thermal efficiency, and gross and net heat rate. The results show a slightly decrease (1.7%) of the annual energy production when the biomass fractions increase from 6% to 100% but a substantial decrease of the CO2 equivalent emissions. A decrease of the excess combustion air from 25% to 5% will increase the boiler and thermal efficiencies and the annual energy output by 2%. This is mainly due to the reduction of the dry flue gas losses (DFGLs) with the reduction of the excess combustion air. A reduction of the parasitic loads from 10% to 2% will increase the power plant performance by 9%. This can be achieved by using more efficient pumps, fans, and conveyors in the power plant. A reduction of the flue gas temperature from 480 °F to 360 °F increases the power plant performance by 4.4% due to the reduction of the dry flue gas losses.


2021 ◽  
Vol 882 (1) ◽  
pp. 012039
Author(s):  
Rasgianti ◽  
N Cahyo ◽  
E Supriyanto ◽  
R B Sitanggang ◽  
M Triani ◽  
...  

Abstract Coal blending testing of medium rank coal (MRC) and low-rank coal (LRC) in the Pacitan power plant with pulverized boiler type was conducted to increase the use of readily available coal. It was necessary to ensure the impact of the blending coal on the boiler performance. Therefore, this study was aimed to examine the performance of the plant. There were two coal blending configurations in testing; a) Combo #1: 75% of LRC and 25% MRC; b) Combo #2: 60% of LRC and 40% MRC. Each combination was held in 4 schemes of load at 165 MW, 210 MW, 255 MW, and 300 MW. Heat rate calculation was determined with the heat loss method (energy balanced approach). As a result, compared to the commissioning test (2,270 kCal/kWh), the power plant performance decreased. The performance of combo #1 obtained 2,517 kcal/kWh; meanwhile, combo #2‘s performance showed 2,360 kcal/kWh.


2011 ◽  
Vol 4 ◽  
pp. 1385-1394 ◽  
Author(s):  
Sebastian Linnenberg ◽  
Ulrich Liebenthal ◽  
Jochen Oexmann ◽  
Alfons Kather

Author(s):  
Komandur S. Sunder Raj

The objectives of an effective power plant performance monitoring program are several-fold. They include: (a) assessing the overall condition of the plant through use of parameters such as output and heat rate (b) monitoring the health of individual components such as the steam generator, turbine-generator, feedwater heaters, moisture separators/reheaters (nuclear), condenser, cooling towers, pumps, etc. (c) using the results of the program to diagnose the causes for deviations in performance (d) quantifying the performance losses (e) taking timely and cost-effective corrective actions (f) using feedback techniques and incorporating lessons learned to institute preventive actions and, (g) optimizing performance. For the plant owner, the ultimate goals are improved plant availability and reliability and reduced cost of generation. The ability to succeed depends upon a number of factors such as cost, commitment, resources, performance monitoring tools, instrumentation, training, etc. Using a case study, this paper discusses diagnostic techniques that might aid power plants in improving their performance, reliability and availability. These techniques include performance parameters, supporting/refuting matrices, logic trees and decision trees for the overall plant as well as for individual components.


Author(s):  
Fred D. Lang

The Input/Loss Method is a unique process which allows for complete thermal understanding of a power plant through explicit determinations of fuel chemistry including fuel water and mineral matter, fuel heating (calorific) value, As-Fired fuel flow, effluent flow, boiler efficiency and system heat rate. Input consists of routine plant data and any parameter which effects system stoichiometrics, including: Stack CO2, Boiler or Stack O2, and, generally, Stack H2O. It is intended for on-line monitoring of coal-fired systems; effluent flow is not measured, plant indicated fuel flow is typically used only for comparison to the computed. The base technology of the Input/Loss Method was documented in companion ASME papers: Parts I, II and III (IJPGC 1998-Pwr-33, IJPGC 1999-Pwr-34 and IJPGC 2000-15079/CD). The Input/Loss Method is protected by US and foreign patents (1994–2004). This Part IV presents details of the Method’s ability to correct any data which effects system stoichiometrics, data obtained either by direct measurements or by assumptions, using multi-dimensional minimization techniques. This is termed the Error Analysis feature of the Input/Loss Method. Addressing errors in combustion effluent measurements is of critical importance for any practical on-line monitoring of a coal-fired unit in which fuel chemistry is being computed. It is based, in part, on an “L Factor” which has been proven to be remarkably constant for a given source of coal; and, indeed, even constant for entire Ranks. The Error Analysis feature assures that every computed fuel chemistry is the most applicable for a given set of system stoichiometrics and effluents. In addition, this paper presents comparisons of computed heating values to grab samples obtained from train deliveries. Such comparisons would not be possible without the Error Analysis.


2014 ◽  
Vol 13 ◽  
pp. 02010
Author(s):  
Syed Haider Ali ◽  
Aklilu Tesfamichael Baheta ◽  
Suhaimi Hassan

Author(s):  
W. C. Yang ◽  
R. A. Newby ◽  
R. L. Bannister

Air-blown coal gasification for combined-cycle power generation is a technology soon to be demonstrated. A process evaluation of air-blown IGCC performed to estimate the plant heat rate, electrical output and potential emissions are described in this paper. A process model of an air-blown IGCC power system based on the Westinghouse 501F combustion turbine was developed to conduct the performance evaluation. Parametric studies were performed to develop an understanding of the power plant sensitivity to the major operating parameters and process options. Advanced hot fuel gas cleaning and conventional cold fuel gas cleaning options were both considered.


Author(s):  
V Krishna ◽  
P B Sharma

A model for the estimation of combustion losses in a pulverized fuel power plant boiler is presented. The model is based on the formulation of a probability density function which relates the probability of a fuel particle remaining unburnt to the combustion and resident times. An empirical model is also presented which relates the unburnt carbon loss to average particle size and excess air. The two models are shown to be in close agreement with each other. The models are validated from the experiments on a power plant boiler. The dependence of boiler efficiency on particle size and excess air is also examined and an empirical correlation between optimum excess air and particle size is derived. The mechanism of two-way coupling between boiler and turbine side parameters is also illustrated. It has been shown that the optimum excess air levels for maxima in plant heat rate and boiler efficiency are not the same, since the two-way coupling influences both the turbine heat rate and boiler efficiency. The effect of two-way coupling has been found to be more predominant for particle sizes of the order of 200 μm.


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