scholarly journals ANALISA PERBANDINGAN NPHR SAAT MILL E IN SERVICE DAN OUT SERVICE

2019 ◽  
Vol 17 (3) ◽  
Author(s):  
Arifia Ekayuliana ◽  
Jusafwar Jusafwar ◽  
Diah Purwati Ningsih ◽  
Fitria Annisa
Keyword(s):  
Power Plant ◽  
Heat Balance ◽  
Performance Test ◽  
Heat Rate ◽  
Heat Losses ◽  
Balance Method ◽  
Actual Condition ◽  
Coal Consumption ◽  
Boiler Efficiency ◽  
American Society

ABSTRACTCoal feeder is the main equipment in steam power plant which serves to adjust the flow rate of coal coming into the mill to be crushed. Disturbance in one of the coal feeder makes Pulverizer/Mill E supposed to operate in the event of an emergency must finally be in service status. The operation of Mill E will make a significant increase in Spray Superheater and Spray Reheater cause of overheat in the boiler convection area. Realized monthly NPHR generating performance is always different from the monthly Performance Test result due to the decreasing unit performance which comes from the increase of heat rate value that resulting in the increasing amount of coal consumption and the variability losses. To reduce the NPHR to make the plant more efficient then used NPHR calculation method that is heat losses method according to standard ASME PTC (The American Society of Mechanical Engineers Performance Test Code) with the number of parameters are more detail. So the calculated of value NPHR will have accuracy according to the actual condition. The purpose of this analysis is to analyze the performance of PLTU Labuan (Banten) which has a capacity of 2x300 MW throughout 2018 and compare it during normal conditions or when there is interference due to malfunction one of the components. The calculation of NPHR (Net Plant Heat Rate) by calculating Turbine Heat Rate, Boiler Efficiency, generator output power and self power consumption. The result of calculation with Heat Balance Method, plant has NPHR equal to 2604,190411 kcal/kWh with coal flow consumption equal to 187,38377414 Ton / h and boiler efficiency equal to 83,98% when Mill E in service and NPHR equal to 2562,130235 kcal / kWh with coal consumption equal to 178,208018 Ton/h and boiler efficiency equal to 84.23% when Mill E out service. It is known that NPHR when Mill E in service is greater than when Mill E out service which mean when Mill E operates a decrease in power plant performance and more wasteful coal consumption. With the calculation of Net Plant Heat Rate routinly and optimally can be done and fast performance can be selected.Keywords: Plant Heat Rate, NPHR, Heat Balance Method, PLTU, thermal energyABSTRAKCoal feeder merupakan peralatan utama pada PLTU yang berfungsi mengatur laju aliran batu bara yang masuk ke mill untuk dihaluskan. Coal feeder bertugas mengatur banyak sedikitnya batu bara sesuai dengan kebutuhan yang diinginkan, yakni besarnya daya yang ingin dibangkitkan dari suatu sistem PLTU. Gangguan di salah satu coal feeder membuat Pulverizer/Mill E yang seharusnya beroperasi saat darurat akhirnya harus berada dalam status in service. Beroperasinya Mill E akan membuat kenaikan yang signifikan pada Superheater Spray dan Reheater Spray akibat overheat di area konveksi boiler. Realisasi kinerja NPHR (Net Plant Heat Rate) bulanan pembangkit selalu berbeda dengan hasil Performance Test bulanan yang disebabkan oleh faktor penurunan perfoma unit akibat kenaikan nilai heat rate yang berakibat pada meningkatnya jumlah konsumsi batubara dan variability lossess. Untuk menurunkan NPHR agar pembangkit lebih efisien maka digunakan metode perhitungan NPHR yaitu metode heat losses yang sesuai standard ASME PTC (The American Society of Mechanical Engineers Performance Test Code) dengan jumlah parameter yang lebih banyak dan detail. Sehingga nilai NPHR hasil perhitungan akan memiliki keakuratan sesuai dengan kondisi sebenarnya. Tujuan dari analisa ini adalah untuk menganalisis kinerja PLTU Labuan (Banten) yang mempunyai kapasitas 2x300 MW sepanjang tahun 2018 dan membandingkannya saat kondisi normal maupun saat ada gangguan akibat tidak berfungsinya salah satu komponen. Perhitungan NPHR dilakukan dengan menghitung Turbine Heat Rate, Efisiensi Boiler, daya keluaran generator dan daya pemakaian sendiri. Hasil perhitungan dengan Metode Kesetimbangan Energi, pembangkit memiliki NPHR sebesar 2604,190 kcal/kWh dengan konsumsi batubara sebesar 187,383 Ton/h dan efisiensi boiler 83,98% saat Mill E in service dan NPHR sebesar 2562,130 kcal/kWh dengan konsumsi batubara sebesar 178,208 Ton/h dan efisiensi boiler 84,23% saat Mill E out service. Diketahui bahwa NPHR saat Mill E in service lebih besar dibanding saat Mill E out service yang berarti saat Mill E beroperasi terjadi penurunan performa pembangkit dan konsumsi batubara yang lebih boros. Dengan perhitungan Net Plant Heat Rate secara rutin dan berkala diharapkan kinerja dan performa pembangkit dapat selalu terpantau dan penyebab gangguan bisa cepat terdekeksi.Kata kunci : Plant Heat Rate, NPHR, Metode Kesetimbangan Energi, PLTU, efisiensi thermal

scholarly journals ANALISIS KINERJA BOILER PEMBANGKIT LISTRIK TENAGA UAP ASAM ASAM UNIT II – KALIMANTAN SELATAN

JTAM ROTARY ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 109
Author(s):  
Asep Mohamad ◽  
Rachmat Subagyo
Keyword(s):  
Power Plant ◽  
Heat Loss ◽  
Flue Gas ◽  
Performance Test ◽  
Heat Losses ◽  
Steam Power ◽  
Boiler Efficiency ◽  
Calculation Results ◽  
Current Value ◽  
Loss Method

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%).

scholarly journals Compare the Calculations of Steam Extraction Efficiency of Power Plant Turbine by Simple Heat Balance Method and Equivalent Enthalpy Drop Method

2020 ◽  
Vol 204 ◽  
pp. 02011
Author(s):  
Yuanyuan Li ◽  
Tongrui Cheng ◽  
Zhenning Zhao ◽  
Liangcai Xu
Keyword(s):  
Power Plant ◽  
Heat Balance ◽  
Composite Structure ◽  
Calculation Method ◽  
Extraction Efficiency ◽  
Thermal Power ◽  
Balance Method ◽  
Computational Results ◽  
Drop Method ◽  
Steam Extraction

At present, the calculation method of steam extraction efficiency of power plant turbine have five methods: heat balance method, equivalent enthalpy drop method, cyclicfunctional method, composite structure method and matrix method. In this paper, a 600MW grade subcritical thermal power plan is take as an examplefor comparing the calculation by the simple heat balance method and the equivalent enthalpy drop method. The result shows that the computational results of simple heat balance method agree with equivalent enthalpy drop method. So simple heat balance method can be used to replace equivalent enthalpy drop method in order to reduce calculation amount in practicalapplication.

A Model for Combustion Losses in a Pulverized Fuel Fired Power Plant Boiler

1988 ◽  
Vol 202 (4) ◽  
pp. 215-224
Author(s):  
V Krishna ◽  
P B Sharma
Keyword(s):  
Particle Size ◽  
Power Plant ◽  
Heat Rate ◽  
Average Particle ◽  
Fuel Particle ◽  
Excess Air ◽  
Power Plant Boiler ◽  
Boiler Efficiency ◽  
Pulverized Fuel ◽  
Plant Boiler

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.

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 ◽  
...  
Keyword(s):  
Power Plant ◽  
Heat Loss ◽  
Heat Rate ◽  
Calorific Value ◽  
Plant Performance ◽  
Low Grade ◽  
Hydrogen Burning ◽  
Steam Power ◽  
Boiler Efficiency ◽  
Loss Method

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.

Influences of Clean Syngas Preheating Temperature on IGCC Power Plant Performances

2013 ◽  
Vol 291-294 ◽  
pp. 823-826
Author(s):  
Long Han ◽  
Guang Yi Deng
Keyword(s):  
High Pressure ◽  
Power Plant ◽  
Heat Recovery ◽  
Power Plants ◽  
Heat Rate ◽  
Heat Recovery Steam Generator ◽  
Coal Consumption ◽  
Preheating Temperature ◽  
Net Power Output ◽  
Igcc Power Plant

400 MW IGCC power plants were modeled by using commercial software GT PRO. The high pressure unsaturated water extracted from heat recovery steam generator (HRSG) was used to heat clean syngas to various temperatures. The influences of clean syngas preheating temperature on plant performances were investigated. Results showed that net power output and coal consumption both reduced with the increase of syngas preheating temperature, and coal consumption reduced to a larger extent. Moreover, when syngas preheating temperature increased, the net electric efficiency increased and the net heat rate decreased gradually. It was concluded that preheating clean syngas in a reasonable way was beneficial to improve the performances of IGCC power plant.

Boiler Emissions and Performance Improvement due to Utilization Real-Time Intelligent Sootblowing Boiler Monitoring Place

2020 ◽  
Author(s):  
B. Chudnovsky ◽  
I. Chatskiy
Keyword(s):  
Heat Transfer ◽  
Power Plant ◽  
Real Time ◽  
Performance Improvement ◽  
Heat Balance ◽  
Integrated System ◽  
Boiler Efficiency ◽  
On Line ◽  
And Performance ◽  
Emissions And Performance

Abstract As it is well known, deposits in boilers contribute to boiler inefficiency, capacity reductions, and overheated tubes, which lead to tube failures. To improve the heat transfer inside the furnace the fouling deposits obviously should be removed. In order to take fouling into account in the overall furnace and boiler heat balance it is necessary to measure two main parameters — thickness of the deposits and their reflectivity (emissivity) in the wavelength of visible and IR region. In the present paper it is demonstrated how such measurement (see detailed description in Ref [1–3] can be used for on-line automatic sootblowing control. Results of our study demonstrate that dynamics of both parameters (contamination thickness and reflectivity) on the operated boiler can be registered in real time and then interpreted separately. The sootblowing boiler monitoring has been implemented at the 550 MW unit equipped with B&W opposite wall burners. The fouling and thickness sensors (FTR) were installed in different locations of the combustion chamber through its width and height. It was shown that dynamics of thickness and reflectivity variation just after the wall cleaning activation are quite different. Situations have been registered where changes of reflectivity have a significant impact on heat transfer, comparable and sometimes even greater than that of growing fouling thickness. Technique and device exploited in this study appears to be a very useful tool for sootblowing optimization and, as a result, for improvement of boiler efficiency and reduction of water wall erosion and corrosion. The paper presents a strategy to implement a comprehensive automatic control of soot blowing in power plant boilers. The paper will describe the existing installations where individual components are in operation, and describe an integrated system that could combine all these parts to make an integrated intelligent sootblowing system.

scholarly journals Study on test of coal co-firing for 600MW ultra supercritical boiler with four walls tangential burning

2018 ◽  
Vol 38 ◽  
pp. 01006
Author(s):  
Wu Ying ◽  
Zhong Yong-lu ◽  
Yin Guo-mingi
Keyword(s):  
Thermogravimetric Analysis ◽  
Power Plant ◽  
Oxygen Content ◽  
Power Supply ◽  
Coal Consumption ◽  
Firing Test ◽  
Elementary Analysis ◽  
Coal Blending ◽  
Boiler Efficiency ◽  
Coal Mixtures

On account of nine commonly used coals in a Jiangxi Power Plant,two kinds of coal were selected to be applied in coal co-firing test through industrial analysis,elementary analysis and thermogravimetric analysis of coal.During the coal co-firing test,two load points were selected,three coal mixtures were prepared.Moreover,under each coal blending scheme, the optimal oxygen content was obtained by oxygen varying test. At last,by measuring the boiler efficiency and coal consumption of power supply in different coal co-firing schemes, the recommended coal co-firing scheme was obtained.

Consideration of Co-Variance in Power Plant Test Uncertainty Calculations

2007 ◽  
Author(s):  
Terrence B. Sullivan ◽  
Keith Kirkpatrick
Keyword(s):  
Power Plant ◽  
Thermal Performance ◽  
Performance Test ◽  
Performance Testing ◽  
Random Component ◽  
Plant Test ◽  
American Society ◽  
Test Uncertainty

One of the most important aspects of American Society of Mechanical Engineers (ASME) Performance Test Code (PTC) thermal performance testing is the proper determination of test uncertainty since the Uncertainty Analysis (UA) validates the quality of a test as well as demonstrates that the test meets code requirements. It can also carry a commercial relevance when test tolerances are linked to uncertainty figures. This paper introduces an approach to the calculation of the random component of uncertainty when covariance exists between certain primary measurements in thermal performance testing. It demonstrates how to identify parameters that are co-variant, provides a methodology for properly calculating the aggregated random uncertainty of co-variant measurements, and discusses the effect of co-variance on UA results.

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