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 ANALISA PERPINDAHAN PANAS COOLING TOWER (INDUCED DRAFT) PLTU I PULANG PISAU (2 x 60 MW)

JTAM ROTARY ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 171
Author(s):  
I Komang Gede Sastrawan ◽  
Rachmat Subagyo
Keyword(s):  
Heat Transfer ◽  
Power Plant ◽  
Cooling Tower ◽  
Cooling System ◽  
Average Efficiency ◽  
Condenser Temperature ◽  
And Performance ◽  
Cooling Media

Penelitian ini bertujuan untuk mengetahui perpindahan panas dan kinerja menara pendingin Pembangkit Listrik Pulang Pisau I (2 x 60 MW) dengan membandingkan data hasil yang diperoleh selama komisioning dan 2018. Pembangkit Listrik Pulang Pisau I (2 x 60 MW) merupakan pembangkit listrik. menggunakan sistem pendingin tertutup dengan menara pendingin. Menara pendingin pada suatu pembangkit listrik memiliki peran yang sangat penting, sebagai media pendingin utama untuk menjaga kestabilan suhu kondensor. Cooling tower merupakan salah satu peralatan perpindahan panas pada suatu pembangkit listrik. Di Pembangkit Listrik Pulang Pisau I (2 x 60 MW), kinerja menara pendingin perlu dikaji dan dianalisis bagaimana perpindahan panas dan efisiensinya untuk mendapatkan masukan guna meningkatkan / mempertahankan kinerja menara pendingin. Laju perpindahan panas tertinggi dari Pulang Pisau - PLTU Daya I 2 x 60 MW menara pendingin terjadi pada tanggal 2 Desember 2018 pukul 06.00 WIB, beban 51,0 MW yaitu 6.883 kW dan terendah terjadi pada tanggal 24 November 2018 pukul 15.00 WIB. , 14,6 MW yang merupakan 2,752 kW. Nilai efisiensi rata-rata 71%. The study aims to determine the heat transfer and performance of cooling tower Pulang Pisau I Power Plant (2 x 60 MW) by comparing the result data obtained during commissioning and 2018. Pulang Pisau I Power Plant (2 x 60 MW) is a power plant using a closed cooling system with the cooling tower. Cooling tower in a power plant have a very important role, as the main cooling media to keep the condenser temperature stable. Cooling tower is one of the heat transfer equipment in a power plant. In Pulang Pisau I Power Plant (2 x 60 MW), cooling tower performance needs to be examined and analyzed how heat transfer and efficiency are to get some input to improve / maintain the performance of the cooling tower. The highest rate of heat transfer from Pulang Pisau - Daya PLTU I 2 x 60 MW cooling tower occurred on December 2nd, 2018 at 06.00 WIB, a load of 51.0 MW which was 6.883 kW and the lowest occurred on November 24th, 2018 at 15.00 WIB, 14.6 MW which was 2.752 kW. Average efficiency value of 71%.

Real-Time On-Line Performance Diagnostics of Heavy-Duty Industrial Gas Turbines

2002 ◽  
Vol 124 (4) ◽  
pp. 910-921 ◽  
Author(s):  
S. C. Gu¨len ◽  
P. R. Griffin ◽  
S. Paolucci
Keyword(s):  
Real Time ◽  
Gas Turbines ◽  
Performance Monitoring ◽  
Engine Performance ◽  
Combined Cycle ◽  
Ex Post ◽  
Ex Post Facto ◽  
Industrial Gas Turbines ◽  
On Line ◽  
And Performance

This paper describes the results of real-time, on-line performance monitoring of two gas turbines over a period of five months in 1997. A commercially available software system is installed to monitor, analyze and store measurements obtained from the plant’s distributed control system. The software is installed in a combined-cycle, cogeneration power plant, located in Massachusetts, USA, with two Frame 7EA gas turbines in Apr. 1997. Vendor’s information such as correction and part load performance curves are utilized to calculate expected engine performance and compare it with measurements. In addition to monitoring the general condition and performance of the gas turbines, user-specified financial data is used to determine schedules for compressor washing and inlet filter replacement by balancing the associated costs with lost revenue. All measurements and calculated information are stored in databases for real-time and historical trending and tabulating. The data is analyzed ex post facto to identify salient performance and maintenance issues.

On-Line Defect Detecting Method Based on Kernel Method

2011 ◽  
Vol 474-476 ◽  
pp. 858-863 ◽  
Author(s):  
Ke Jia Xu ◽  
Bin Chen ◽  
Li Zeng
Keyword(s):  
Real Time ◽  
Kernel Method ◽  
Principal Component ◽  
Kernel Principal Component Analysis ◽  
Image Method ◽  
Speed Up ◽  
On Line ◽  
And Performance ◽  
Detecting Method ◽  
Better Than

The conflict between accuracy and speed is one of the most well-known dilemmas of the real-time defect detecting system. This paper presents a real-time defect detecting algorithm based on Kernel principal component analysis (KPCA). KPCA-based feature extraction have recently shown to be very effective for image denoising, however the Normal KPCA method is time-consuming. In our method, we propose a progressive algorithm to speed up the reconstruct process while improve accuracy. Experimental results demonstrate that our method is dramatically better than Normal KPCA Pre-image method in terms of speed and performance.

Long Term Experience of the Real Time Fouling Deposits Thickness Measurements for On-Line Sootblowing Optimization

2015 ◽  
Author(s):  
B. Chudnovsky ◽  
N. Menn
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Real Time ◽  
Operation Conditions ◽  
Wide Range ◽  
On Line ◽  
Cycle Efficiency ◽  
The Impact ◽  
Long Term Experience

Over the past years there has been a dramatic increase in the regulatory requirements for low emissions. Renewable energy targets and CO2 emissions markets drive the transition to a cleaner and renewable energy production system. In addition to increasing the overall plant cycle efficiency, there two principal means of the reduction of the CO2 from coal fired power plants: by coal and biomass co-firing and by the capture and long term storage of the CO2 emitted from power plant. Carbon dioxide capture and storage will involve substantial capital investment, accompanied by a significant power plant cycle efficiency penalty, and is not currently available on a fully commercial basis. Co-firing biomass, in comparison with other renewable sources, is the main contributor to technologies meeting the world’s renewable energy target. However, the impact of biomass co-firing on boilers performance and integrity has been modest. Operational problems associated with the deposition and retention of ash materials can and do occur on all the major gas-side components of combustion and boilers. The process occurs over a wide range of flue gas and surface temperatures, and dependent both on the characteristics of the ash and on the design and operation conditions of the furnace and boiler. Development and validation of the predictive models have been hindered significantly by the practical difficulties in the obtaining reliable data from the boilers operated with coal and biomass. Although specialized on–line deposition monitoring and sootblowing control systems are commercially available, but they are based on a very simple estimates of the fouling factors, which results in crude and not reliable approach to optimization of sootblowers operation. In the present paper an alternative approach and a new technique based on electro-optical sensor are demonstrated. The long term experience with the system attached to the furnace wall and capable to move the compact sensor in and out of the furnace, allowing to measure simultaneously deposits thickness and reflectivity, is described in details. Results of our study show that dynamics of both parameters on the operated power unit can be registered simultaneously in real time and then interpreted separately. Experiments have been carried out with different coal types at 575MW unit equipped with CE tangential boiler and 550 Mw equipped with B&W boiler with opposite fired burners. The measurements were performed in different locations of the furnace. 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 in both pulverized coal and co-firing boilers.

An Ada-Based On-Line Computer System for AGR Power Stations

1993 ◽  
Vol 26 (3) ◽  
pp. 76-79
Author(s):  
R Clarke ◽  
F Humphries
Keyword(s):  
Real Time ◽  
Computer System ◽  
Relational Database ◽  
High Performance ◽  
Computer Systems ◽  
Case Tools ◽  
Power Stations ◽  
On Line ◽  
Replacement System ◽  
And Performance

Nuclear Electric have commissioned Ferranti International to develop a replacement system for their on-line computer systems in earlier AGR power stations. This system represents a step forward both in software and performance and takes advantage of investment made for military use in the Ada Language, CASE tools and a high-performance real-time relational database.

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 IMPLEMENTASI PREVENTIVE MAINTENANCE UNTUK MENINGKATKAN KEANDALAN PADA KOMPONEN KRITIS BOILER DI PEMBANGKIT LISTRIK TENAGA UAP

2021 ◽  
Vol 2 (2) ◽  
pp. 73-78
Author(s):  
Iing Pamungkas ◽  
Heri Tri Irawan ◽  
T.M Azis Pandria
Keyword(s):  
Power Plant ◽  
Performance Improvement ◽  
Preventive Maintenance ◽  
Steam Power ◽  
Electricity System ◽  
Maintenance Time ◽  
Preventive Activity ◽  
Strategic Role ◽  
And Performance ◽  
Critical Components

This paper uses a preventive maintenance approach in improving the performance reliability of critical boiler components at the Nagan Raya Steam Power Plant (PLTU Nagan Raya). PLTU currently has a strategic role in the electricity system in Indonesia, one of which is PLTU Nagan Raya which is located in Aceh. In its implementation, PLTU Nagan Raya often experiences interference in its production system. The boiler is one part that often experiences interference, where corrective maintenance is one of the causes of the interference. Evaluation and performance improvement in terms of reliability are needed to minimize future failures. The purpose of this research is to determine the preventive maintenance time based on the reliability value of critical boiler components to increase the reliability value in the future. Preventive maintenance is a preventive activity before a machine breakdown occurs. The reliability value will be calculated in advance before the implementation of preventive maintenance. The results of the implementation of preventive maintenance in an effort to increase the reliability of the nine critical components of the boiler obtained maintenance results ranging from 14 days to 47 days with a reliability value of 60%.

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