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...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/30881 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 |