Optimization of a PV/microturbine hybrid system for tropical climates

Hybrid system based on photovoltaic is considered an effective option to electrify remote and isolated areas far from grid. This is true for areas that receive high averages of solar radiation annually. Using microturbine as a standby source will make utilization of hybrid systems more attractive. A...

Full description

Saved in:
Bibliographic Details
Main Authors: Ismail M.S., Moghavvemi M., Mahlia T.M.I.
Other Authors: 9633224700
Format: Conference paper
Published: 2023
Subjects:
Sun
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-29954
record_format dspace
spelling my.uniten.dspace-299542023-12-29T15:43:45Z Optimization of a PV/microturbine hybrid system for tropical climates Ismail M.S. Moghavvemi M. Mahlia T.M.I. 9633224700 7003701545 56997615100 Economics Hybrid system Microturbine Optimization Photovoltaic Economic analysis Economics Energy conversion Optimization Photovoltaic cells Pollution Solar radiation Sun Turbines Economic feasibilities Iterative approach Micro turbine Photovoltaic Photovoltaic panels Pollutant emission Sizing optimization Solar radiation data Hybrid systems Hybrid system based on photovoltaic is considered an effective option to electrify remote and isolated areas far from grid. This is true for areas that receive high averages of solar radiation annually. Using microturbine as a standby source will make utilization of hybrid systems more attractive. A sizing optimization of the hybrid system components, an economic feasibility study and a complete design of the hybrid system consisting of photovoltaic (PV) panels, a microturbine as a backup power source and a battery system supplying a small community in a tropical climate area were presented in this paper. A scenario depending on PV standalone and another scenario depending on microturbine alone were also studied and analyzed in this paper. This is to select the most appropriate considering cost and pollutant emissions for these areas. A simulation program depending on an iterative approach was used to optimize the sizes of PV system and battery bank. Specifications of the hybrid system components are then determined according to the optimized values. Solar radiation data is firstly analyzed and the tilted angle of the PV panels is also optimized. It is found that electrifying rural small community using this hybrid system is very beneficial and competitive with other types of conventional sources as it decreases both operating costs and pollutant emissions. � 2013 IEEE. Final 2023-12-29T07:43:45Z 2023-12-29T07:43:45Z 2013 Conference paper 10.1109/EPECS.2013.6713059 2-s2.0-84893735177 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893735177&doi=10.1109%2fEPECS.2013.6713059&partnerID=40&md5=9156bf024e17811e1f69c3127037024f https://irepository.uniten.edu.my/handle/123456789/29954 6713059 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Economics
Hybrid system
Microturbine
Optimization
Photovoltaic
Economic analysis
Economics
Energy conversion
Optimization
Photovoltaic cells
Pollution
Solar radiation
Sun
Turbines
Economic feasibilities
Iterative approach
Micro turbine
Photovoltaic
Photovoltaic panels
Pollutant emission
Sizing optimization
Solar radiation data
Hybrid systems
spellingShingle Economics
Hybrid system
Microturbine
Optimization
Photovoltaic
Economic analysis
Economics
Energy conversion
Optimization
Photovoltaic cells
Pollution
Solar radiation
Sun
Turbines
Economic feasibilities
Iterative approach
Micro turbine
Photovoltaic
Photovoltaic panels
Pollutant emission
Sizing optimization
Solar radiation data
Hybrid systems
Ismail M.S.
Moghavvemi M.
Mahlia T.M.I.
Optimization of a PV/microturbine hybrid system for tropical climates
description Hybrid system based on photovoltaic is considered an effective option to electrify remote and isolated areas far from grid. This is true for areas that receive high averages of solar radiation annually. Using microturbine as a standby source will make utilization of hybrid systems more attractive. A sizing optimization of the hybrid system components, an economic feasibility study and a complete design of the hybrid system consisting of photovoltaic (PV) panels, a microturbine as a backup power source and a battery system supplying a small community in a tropical climate area were presented in this paper. A scenario depending on PV standalone and another scenario depending on microturbine alone were also studied and analyzed in this paper. This is to select the most appropriate considering cost and pollutant emissions for these areas. A simulation program depending on an iterative approach was used to optimize the sizes of PV system and battery bank. Specifications of the hybrid system components are then determined according to the optimized values. Solar radiation data is firstly analyzed and the tilted angle of the PV panels is also optimized. It is found that electrifying rural small community using this hybrid system is very beneficial and competitive with other types of conventional sources as it decreases both operating costs and pollutant emissions. � 2013 IEEE.
author2 9633224700
author_facet 9633224700
Ismail M.S.
Moghavvemi M.
Mahlia T.M.I.
format Conference paper
author Ismail M.S.
Moghavvemi M.
Mahlia T.M.I.
author_sort Ismail M.S.
title Optimization of a PV/microturbine hybrid system for tropical climates
title_short Optimization of a PV/microturbine hybrid system for tropical climates
title_full Optimization of a PV/microturbine hybrid system for tropical climates
title_fullStr Optimization of a PV/microturbine hybrid system for tropical climates
title_full_unstemmed Optimization of a PV/microturbine hybrid system for tropical climates
title_sort optimization of a pv/microturbine hybrid system for tropical climates
publishDate 2023
_version_ 1806428242665537536
score 13.214268