A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system
Abstract This article investigates multi‐objective size optimization of a hybrid energy system (HES) composed of biomass, photovoltaic (PV) and diesel generator considering technical, economic and environmental aspects. For this aim, two multi‐objective frameworks (techno‐economic and techno‐enviro‐...
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Language: | English |
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Wiley
2024-12-01
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Series: | IET Renewable Power Generation |
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Online Access: | https://doi.org/10.1049/rpg2.13157 |
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author | Amir Akbarzadeh Alireza Askarzadeh |
author_facet | Amir Akbarzadeh Alireza Askarzadeh |
author_sort | Amir Akbarzadeh |
collection | DOAJ |
description | Abstract This article investigates multi‐objective size optimization of a hybrid energy system (HES) composed of biomass, photovoltaic (PV) and diesel generator considering technical, economic and environmental aspects. For this aim, two multi‐objective frameworks (techno‐economic and techno‐enviro‐economic) are developed where in the techno‐economic framework, total net present cost (TNPC) and loss of power supply probability (LPSP) are considered as the conflicting objectives. LPSP value is used as an index to measure the system reliability (by decrease of LPSP value, reliability will increase). In the techno‐enviro‐economic framework, net present cost of CO2 emission is also included in TNPC value. Furthermore, to determine the impact of biomass and diesel generator fuel costs on the Pareto front, a sensitivity analysis is conducted. Over the case study, simulated results show that in techno‐economic framework, at small values of LPSP, it is cost‐effective to use PV‐diesel rather than PV‐biomass system. In techno‐enviro‐economic framework, though at LPSP = 0, it is cost‐effective to use PV‐diesel system, in other levels of LPSP, it is desired to use PV‐biomass system. |
format | Article |
id | doaj-art-83d3f32715044bb6b9116fe90749b4c3 |
institution | Kabale University |
issn | 1752-1416 1752-1424 |
language | English |
publishDate | 2024-12-01 |
publisher | Wiley |
record_format | Article |
series | IET Renewable Power Generation |
spelling | doaj-art-83d3f32715044bb6b9116fe90749b4c32025-01-30T12:15:54ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118164177419610.1049/rpg2.13157A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy systemAmir Akbarzadeh0Alireza Askarzadeh1Department of Energy Management and Optimization Institute of Science and High Technology and Environmental Sciences Graduate University of Advanced Technology Kerman IranDepartment of Energy Management and Optimization Institute of Science and High Technology and Environmental Sciences Graduate University of Advanced Technology Kerman IranAbstract This article investigates multi‐objective size optimization of a hybrid energy system (HES) composed of biomass, photovoltaic (PV) and diesel generator considering technical, economic and environmental aspects. For this aim, two multi‐objective frameworks (techno‐economic and techno‐enviro‐economic) are developed where in the techno‐economic framework, total net present cost (TNPC) and loss of power supply probability (LPSP) are considered as the conflicting objectives. LPSP value is used as an index to measure the system reliability (by decrease of LPSP value, reliability will increase). In the techno‐enviro‐economic framework, net present cost of CO2 emission is also included in TNPC value. Furthermore, to determine the impact of biomass and diesel generator fuel costs on the Pareto front, a sensitivity analysis is conducted. Over the case study, simulated results show that in techno‐economic framework, at small values of LPSP, it is cost‐effective to use PV‐diesel rather than PV‐biomass system. In techno‐enviro‐economic framework, though at LPSP = 0, it is cost‐effective to use PV‐diesel system, in other levels of LPSP, it is desired to use PV‐biomass system.https://doi.org/10.1049/rpg2.13157optimisationpower from biomassrenewable energy sources |
spellingShingle | Amir Akbarzadeh Alireza Askarzadeh A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system IET Renewable Power Generation optimisation power from biomass renewable energy sources |
title | A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system |
title_full | A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system |
title_fullStr | A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system |
title_full_unstemmed | A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system |
title_short | A techno‐enviro‐economic multi‐objective framework for optimal sizing of a biomass/diesel generator‐driven hybrid energy system |
title_sort | techno enviro economic multi objective framework for optimal sizing of a biomass diesel generator driven hybrid energy system |
topic | optimisation power from biomass renewable energy sources |
url | https://doi.org/10.1049/rpg2.13157 |
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