DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE

<p align="justify">Steam turbine is a component of steam power plant that converts steam energy from boiler into mechanical energy that spins generator. Steam turbine must always be monitored to operate optimally. Steam turbine performance is measured from its efficiency value. Monit...

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Main Author: (13313019), Septian
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30881
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30881
spelling id-itb.:308812018-09-26T10:50:08ZDESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE (13313019), Septian Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30881 <p align="justify">Steam turbine is a component of steam power plant that converts steam energy from boiler into mechanical energy that spins generator. Steam turbine must always be monitored to operate optimally. Steam turbine performance is measured from its efficiency value. Monitoring of steam turbine efficiency has been made. However, in reality, monitoring systems still have common barriers for collecting, processing and analyzing data, such as: limited data collection, lack of human resources, and inability to integrate different instrumentation observations in both software and hardware. This problem resulted in a long time in monitoring the efficiency of steam turbine. <br /> <br /> In this final project, a steam turbine efficiency monitoring system is designed for eliminating common obstacles by using data infrastructure. The method used to calculate steam turbine efficiency value in this research are Enthalpy Drop Test and Heat Rate Test. These method calculates Termal and isentropic efficiency of the steam turbine. In practice, the system designed to centralize and collect steam turbine monitoring data using PI Interface for Universal File and Stream Loading, PI Interface for OPC Data Acquisition, PI Manual Logger, PI Data Archive, and PI Asset Framework. Then, these data are processed and calculated to be steam turbine efficiency with PI Asset Analytics. Processed data is displayed with PI ProcessBook and reported with PI DataLink according to user requirements. <br /> <br /> The efficiency of steam turbine Unit 1 PLTU Lontar 3 Banten can be known by the data infrastructure. By data collection period on 7-13 April 2018, this research can determine the average value of heat rate and thermal efficiency of steam turbine are 8998.63 kJ/kWh and 40.07%. Then, the average value of isentropic efficiency of HP and IP Turbine are 73.61% and 90.88%.<p align="justify"> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">Steam turbine is a component of steam power plant that converts steam energy from boiler into mechanical energy that spins generator. Steam turbine must always be monitored to operate optimally. Steam turbine performance is measured from its efficiency value. Monitoring of steam turbine efficiency has been made. However, in reality, monitoring systems still have common barriers for collecting, processing and analyzing data, such as: limited data collection, lack of human resources, and inability to integrate different instrumentation observations in both software and hardware. This problem resulted in a long time in monitoring the efficiency of steam turbine. <br /> <br /> In this final project, a steam turbine efficiency monitoring system is designed for eliminating common obstacles by using data infrastructure. The method used to calculate steam turbine efficiency value in this research are Enthalpy Drop Test and Heat Rate Test. These method calculates Termal and isentropic efficiency of the steam turbine. In practice, the system designed to centralize and collect steam turbine monitoring data using PI Interface for Universal File and Stream Loading, PI Interface for OPC Data Acquisition, PI Manual Logger, PI Data Archive, and PI Asset Framework. Then, these data are processed and calculated to be steam turbine efficiency with PI Asset Analytics. Processed data is displayed with PI ProcessBook and reported with PI DataLink according to user requirements. <br /> <br /> The efficiency of steam turbine Unit 1 PLTU Lontar 3 Banten can be known by the data infrastructure. By data collection period on 7-13 April 2018, this research can determine the average value of heat rate and thermal efficiency of steam turbine are 8998.63 kJ/kWh and 40.07%. Then, the average value of isentropic efficiency of HP and IP Turbine are 73.61% and 90.88%.<p align="justify">
format Final Project
author (13313019), Septian
spellingShingle (13313019), Septian
DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE
author_facet (13313019), Septian
author_sort (13313019), Septian
title DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE
title_short DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE
title_full DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE
title_fullStr DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE
title_full_unstemmed DESIGN OF STEAM TURBINE EFFICIENCY MONITORING SYSTEM WITH DATA INFRASTRUCTURE
title_sort design of steam turbine efficiency monitoring system with data infrastructure
url https://digilib.itb.ac.id/gdl/view/30881
_version_ 1822923408304766976