Cover Image

Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance

Nowadays, increasing electricity demand and rural electrification upgrading make renewable energy becomes more popular. Some examples of renewable energy applied in Malaysia are solar, biomass and hydropower. For hydropower, it can be classified into several types and schemes. For types, it depends...

Full description

Saved in:
Bibliographic Details
Main Author: Razi, Mashitah
Format: Thesis
Language:English
English
Published: 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/24676/1/Streamflow%20Predictive%20Model%20Using%20Reliable%20Distribution%20Method%20To%20Enhance%20Small%20Hydropower%20System%20Performance.pdf
http://eprints.utem.edu.my/id/eprint/24676/2/Streamflow%20Predictive%20Model%20Using%20Reliable%20Distribution%20Method%20To%20Enhance%20Small%20Hydropower%20System%20Performance.pdf
http://eprints.utem.edu.my/id/eprint/24676/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=117635
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.24676
record_format eprints
spelling my.utem.eprints.246762021-10-05T11:41:35Z http://eprints.utem.edu.my/id/eprint/24676/ Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance Razi, Mashitah TK Electrical engineering. Electronics Nuclear engineering Nowadays, increasing electricity demand and rural electrification upgrading make renewable energy becomes more popular. Some examples of renewable energy applied in Malaysia are solar, biomass and hydropower. For hydropower, it can be classified into several types and schemes. For types, it depends on the power generated by the system, while schemes, it related to its operating mechanism. In Malaysia, generally, the smallhydropower system tied with 21 years Feed-In-Tariff (FiT) policy offered by Sustainable Energy Development Authority (SEDA) and for rural electrification, small-hydropower system based on run-of-river schemes is much better in terms of total electricity generated, sustainability, reliability and environmental friendly. Therefore, to make sure the sustainability and reliability of the system, understanding the character of the streamflow is a must. In this research, average daily streamflow data from January to December 2016 from Sungai Perting, Bentong, Pahang small hydropower system were used as data analysis. Statistical analysis in boxplot using R-Software provides first statistical order characteristic of the streamflow in terms of maximum, minimum, mean, median, first quartile and third quartile of the data. While, for distribution analysis, Probability Distribution Function (PDF) model of Gumbel, Weibull 2-parameter, Lognormal and GEV are used to represent the data. Most researchers used Lognormal, Gumbel and Weibull and less study on GEV distribution. Therefore, the GEV is introduced to increase the reliable method applied. Best fit distribution is finding by the help of MATLAB Software based on MLE value. To obtain the performance of the system, the study will focus on the turbine power generated related to the streamflow. From the results, 8 out of 12 months of the streamflow distribution exhibit GEV function and have maximum MLE values compared to the others. As for the performance of the system, streamflow is directly proportional to the power generated by the turbine. 2019 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/24676/1/Streamflow%20Predictive%20Model%20Using%20Reliable%20Distribution%20Method%20To%20Enhance%20Small%20Hydropower%20System%20Performance.pdf text en http://eprints.utem.edu.my/id/eprint/24676/2/Streamflow%20Predictive%20Model%20Using%20Reliable%20Distribution%20Method%20To%20Enhance%20Small%20Hydropower%20System%20Performance.pdf Razi, Mashitah (2019) Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=117635
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Razi, Mashitah
Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance
description Nowadays, increasing electricity demand and rural electrification upgrading make renewable energy becomes more popular. Some examples of renewable energy applied in Malaysia are solar, biomass and hydropower. For hydropower, it can be classified into several types and schemes. For types, it depends on the power generated by the system, while schemes, it related to its operating mechanism. In Malaysia, generally, the smallhydropower system tied with 21 years Feed-In-Tariff (FiT) policy offered by Sustainable Energy Development Authority (SEDA) and for rural electrification, small-hydropower system based on run-of-river schemes is much better in terms of total electricity generated, sustainability, reliability and environmental friendly. Therefore, to make sure the sustainability and reliability of the system, understanding the character of the streamflow is a must. In this research, average daily streamflow data from January to December 2016 from Sungai Perting, Bentong, Pahang small hydropower system were used as data analysis. Statistical analysis in boxplot using R-Software provides first statistical order characteristic of the streamflow in terms of maximum, minimum, mean, median, first quartile and third quartile of the data. While, for distribution analysis, Probability Distribution Function (PDF) model of Gumbel, Weibull 2-parameter, Lognormal and GEV are used to represent the data. Most researchers used Lognormal, Gumbel and Weibull and less study on GEV distribution. Therefore, the GEV is introduced to increase the reliable method applied. Best fit distribution is finding by the help of MATLAB Software based on MLE value. To obtain the performance of the system, the study will focus on the turbine power generated related to the streamflow. From the results, 8 out of 12 months of the streamflow distribution exhibit GEV function and have maximum MLE values compared to the others. As for the performance of the system, streamflow is directly proportional to the power generated by the turbine.
format Thesis
author Razi, Mashitah
author_facet Razi, Mashitah
author_sort Razi, Mashitah
title Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance
title_short Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance
title_full Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance
title_fullStr Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance
title_full_unstemmed Streamflow Predictive Model Using Reliable Distribution Method To Enhance Small Hydropower System Performance
title_sort streamflow predictive model using reliable distribution method to enhance small hydropower system performance
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24676/1/Streamflow%20Predictive%20Model%20Using%20Reliable%20Distribution%20Method%20To%20Enhance%20Small%20Hydropower%20System%20Performance.pdf
http://eprints.utem.edu.my/id/eprint/24676/2/Streamflow%20Predictive%20Model%20Using%20Reliable%20Distribution%20Method%20To%20Enhance%20Small%20Hydropower%20System%20Performance.pdf
http://eprints.utem.edu.my/id/eprint/24676/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=117635
_version_ 1713203451374075904
score 13.211869

Similar Items