Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems

This study presents a techno-economic analysis of five different hybrid energy systems (HES)-based renewable energy sources (RES) in the northern region of Saudi Arabia. It aims to provide valuable insights into the economic feasibility, technical compatibility, and environmental implications of the...

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Main Authors: Al-Shetwi A.Q., Atawi I.E., Abuelrub A., Hannan M.A.
Other Authors: 57004922700
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Published: Elsevier Ltd 2024
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spelling my.uniten.dspace-340372024-10-14T11:17:44Z Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems Al-Shetwi A.Q. Atawi I.E. Abuelrub A. Hannan M.A. 57004922700 56576396100 56682825200 7103014445 Economical analysis Educational sector Environmental impacts Hybrid system Renewable energy Society Cost effectiveness Decision making Economic analysis Electric batteries Environmental impact Greenhouse gases Hybrid systems Cost of energies Economical analysis Educational sectors Energy Grid-connected Hybrid energy system Photovoltaics Renewable energies Society Wind turbine systems alternative energy capital cost analysis design economic analysis electronic equipment photovoltaic system power generation wind turbine Renewable energy resources This study presents a techno-economic analysis of five different hybrid energy systems (HES)-based renewable energy sources (RES) in the northern region of Saudi Arabia. It aims to provide valuable insights into the economic feasibility, technical compatibility, and environmental implications of these systems. To carry out this analysis, hybrid optimization of multiple energy resources (HOMER) software is used. Parameters such as total net price cost (TNPC), cost of energy (COE), initial capital cost (ICC), energy generation and consumption, excess and unmet energy, renewable energy (RE) fraction, and emissions were considered to assess the different HES configurations. The findings demonstrate that the grid-connected photovoltaic/wind turbines (PV/WT) system is the best option in terms of economic perspective with TNPC and COE of $213,099 and $0.0480/kWh, respectively followed by grid-connected PV/fuel cell (FC)/WT and stand-alone PV/diesel generator (DG)/WT/battery systems. The PV/battery and PV/FC/WT/battery green hybridization are the highest cost-effective due to their high initial and replacement battery costs. The grid-connected PV/WT and PV/DG/WT/battery systems are the most efficient in meeting load demand, while the PV/battery and PV/FC/WT/battery hybridization have the highest excess and unmet energy. From an environmental perspective, the stand-alone HES consisting solely of RESs, i.e., PV and batteries, has the lowest emissions, making it one of the most environmentally friendly options. Following closely is the PV/FC/WT/battery configuration, which also demonstrates low emissions. On the other hand, the grid-connected PV/WT system exhibits the highest total GHG emissions, rendering it the least environmentally friendly option. This research provides decision-makers, researchers, and stakeholders with valuable information for selecting the optimal hybrid energy systems, taking into account economic, technical, and environmental considerations. � 2023 Elsevier Ltd Final 2024-10-14T03:17:44Z 2024-10-14T03:17:44Z 2023 Article 10.1016/j.techsoc.2023.102352 2-s2.0-85171629406 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171629406&doi=10.1016%2fj.techsoc.2023.102352&partnerID=40&md5=b7cfe32ee691679da2c360e1d32949d7 https://irepository.uniten.edu.my/handle/123456789/34037 75 102352 Elsevier Ltd 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 Economical analysis
Educational sector
Environmental impacts
Hybrid system
Renewable energy
Society
Cost effectiveness
Decision making
Economic analysis
Electric batteries
Environmental impact
Greenhouse gases
Hybrid systems
Cost of energies
Economical analysis
Educational sectors
Energy
Grid-connected
Hybrid energy system
Photovoltaics
Renewable energies
Society
Wind turbine systems
alternative energy
capital
cost analysis
design
economic analysis
electronic equipment
photovoltaic system
power generation
wind turbine
Renewable energy resources
spellingShingle Economical analysis
Educational sector
Environmental impacts
Hybrid system
Renewable energy
Society
Cost effectiveness
Decision making
Economic analysis
Electric batteries
Environmental impact
Greenhouse gases
Hybrid systems
Cost of energies
Economical analysis
Educational sectors
Energy
Grid-connected
Hybrid energy system
Photovoltaics
Renewable energies
Society
Wind turbine systems
alternative energy
capital
cost analysis
design
economic analysis
electronic equipment
photovoltaic system
power generation
wind turbine
Renewable energy resources
Al-Shetwi A.Q.
Atawi I.E.
Abuelrub A.
Hannan M.A.
Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
description This study presents a techno-economic analysis of five different hybrid energy systems (HES)-based renewable energy sources (RES) in the northern region of Saudi Arabia. It aims to provide valuable insights into the economic feasibility, technical compatibility, and environmental implications of these systems. To carry out this analysis, hybrid optimization of multiple energy resources (HOMER) software is used. Parameters such as total net price cost (TNPC), cost of energy (COE), initial capital cost (ICC), energy generation and consumption, excess and unmet energy, renewable energy (RE) fraction, and emissions were considered to assess the different HES configurations. The findings demonstrate that the grid-connected photovoltaic/wind turbines (PV/WT) system is the best option in terms of economic perspective with TNPC and COE of $213,099 and $0.0480/kWh, respectively followed by grid-connected PV/fuel cell (FC)/WT and stand-alone PV/diesel generator (DG)/WT/battery systems. The PV/battery and PV/FC/WT/battery green hybridization are the highest cost-effective due to their high initial and replacement battery costs. The grid-connected PV/WT and PV/DG/WT/battery systems are the most efficient in meeting load demand, while the PV/battery and PV/FC/WT/battery hybridization have the highest excess and unmet energy. From an environmental perspective, the stand-alone HES consisting solely of RESs, i.e., PV and batteries, has the lowest emissions, making it one of the most environmentally friendly options. Following closely is the PV/FC/WT/battery configuration, which also demonstrates low emissions. On the other hand, the grid-connected PV/WT system exhibits the highest total GHG emissions, rendering it the least environmentally friendly option. This research provides decision-makers, researchers, and stakeholders with valuable information for selecting the optimal hybrid energy systems, taking into account economic, technical, and environmental considerations. � 2023 Elsevier Ltd
author2 57004922700
author_facet 57004922700
Al-Shetwi A.Q.
Atawi I.E.
Abuelrub A.
Hannan M.A.
format Article
author Al-Shetwi A.Q.
Atawi I.E.
Abuelrub A.
Hannan M.A.
author_sort Al-Shetwi A.Q.
title Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
title_short Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
title_full Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
title_fullStr Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
title_full_unstemmed Techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
title_sort techno-economic assessment and optimal design of hybrid power generation-based renewable energy systems
publisher Elsevier Ltd
publishDate 2024
_version_ 1814061163934121984
score 13.222552