TextBook

ANALISA KONDISI OPERASI CIRCULATED FLUIDIZED BED (CFB) BOILER MENGGUNAKAN MACHINE LEARNING (tesis)

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Circulated Fluidized Bed (CFB) boilers are a type of boiler used in several lowcapacity steam power plants (PLTU) in the Indonesian archipelago. CFB boiler is
a type of boiler that has a complex operating pattern because it involves two
phenomena, namely hydrodynamics and combustion simultaneously in the furnace.
Reliability problems arise due to the complexity of the CFB boiler operation
pattern. Temperature and pressure throughout the furnace are important
parameters to maintain because related to the coal combustion process. An
accurate analysis of the operating conditions of the CFB boiler is needed to be able
to find out the parameters that most influence the condition of the CFB boiler. The
purpose of this study was to determine the operating pattern of CFB boiler pressure
and temperature so that it can be used to predict optimal conditions in increasing
the reliability and efficiency of the boiler. The method used in this study is an
Artificial Neural Network (ANN) which is a method in machine learning that can
be used to make predictions based on data. The operating conditions of pressure
and temperature at several points and the rate of steam production at the CFB
Boiler can be predicted by going through the dataset processing stages, namely
training, validating, and testing of the specified operating data parameters. The
results of this study indicate that machine learning models can accurately predict
CFB Boiler temperature conditions with an error R of 0.9993. Parameters of coal
feed flow rate, primary air flow rate (PA flow), and secondary air flow rate (SA
flow) have a big role in changing operating conditions. Based on the sensitivity test
using the ANN model, it can be seen that the most optimum PA and SA flow
configuration settings for steam production and boiler operating conditions. The
configuration at low load is the PA flow setting of 145000 Nm3
/h and SA flow of 190000 Nm3 /h, the PA:SA ratio is 43:57 with a bed temperature of 900 degC and a
boiler efficiency of 83%. Meanwhile, at high loads, the PA:SA ratio is 45:51,
namely 180000 Nm3 /h and SA 190000 Nm3 /h with a bed temperature of 905,01
degC and a boiler efficiency of 75%

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Ketersediaan

Tesis-TKIM-001

543 ASE a

Perpustakaan Pasca (tidak dipinjamkan)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

543 ASE a

Penerbit

SERANG : Pascasarjana_Untirta., 2023

Deskripsi Fisik

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Bahasa

ISBN/ISSN

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Klasifikasi

543

Tipe Isi

Text

Tipe Media

Online dan Cetak

Tipe Pembawa

Cetak

Edisi

Ed.1 Cet.1

Subjek

Operasi teknik kimia

Info Detail Spesifik

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Pernyataan Tanggungjawab

Anton Irawan, Teguh Kurniawan

Versi lain/terkait

Lampiran Berkas

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