On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq

<p dir="ltr">This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. The focus is on mitigating unscheduled outages on the national grid in...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hussain Alshamri (21225128) (author)
مؤلفون آخرون: Timothy Cockerill (7180805) (author), Alison S. Tomlin (11682144) (author), Moustafa Al-Damook (21225131) (author), Mansour Al Qubeissi (20931869) (author)
منشور في: 2024
الموضوعات:
الوسوم: إضافة وسم
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author Hussain Alshamri (21225128)
author2 Timothy Cockerill (7180805)
Alison S. Tomlin (11682144)
Moustafa Al-Damook (21225131)
Mansour Al Qubeissi (20931869)
author2_role author
author
author
author
author_facet Hussain Alshamri (21225128)
Timothy Cockerill (7180805)
Alison S. Tomlin (11682144)
Moustafa Al-Damook (21225131)
Mansour Al Qubeissi (20931869)
author_role author
dc.creator.none.fl_str_mv Hussain Alshamri (21225128)
Timothy Cockerill (7180805)
Alison S. Tomlin (11682144)
Moustafa Al-Damook (21225131)
Mansour Al Qubeissi (20931869)
dc.date.none.fl_str_mv 2024-05-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.3390/cleantechnol6020032
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/On_off-Grid_Optimal_Hybrid_Renewable_Energy_Systems_for_House_Units_in_Iraq/28910054
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Earth sciences
Climate change science
Economics
Applied economics
Engineering
Electrical engineering
Environmental engineering
Information and computing sciences
Artificial intelligence
Battery
Electric power
Hybrid system
Optimization
Renewable energy
Solar energy
Wind energy
dc.title.none.fl_str_mv On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. The focus is on mitigating unscheduled outages on the national grid in Iraq. The proposed On–off-grid HRES method is implemented using MATLAB and relies on an iterative technique to achieve multi-objectives, balancing reliability and economic constraints. The optimal HRES configuration is determined by evaluating various scenarios related to energy flow management, electricity prices, and land cover effects. Consumer requirements regarding cost and reliability are factored into a 2D optimization process. A battery model is developed to capture the dynamic exchange of energy among different renewable sources, battery storage, and energy demands. A detailed case study across fifteen locations in Iraq, including water, desert, and urban areas, revealed that local wind speed significantly affects the feasibility and efficiency of the HRES. Locations with higher wind speeds, such as the Haditha lake region (payback period: 7.8 years), benefit more than urban areas (Haditha city: payback period: 12.4 years). This study also found that not utilizing the battery, particularly during periods of high electricity prices (e.g., 2015), significantly impacts the HRES performance. In the Haditha water area, for instance, this technique reduced the payback period from 20.1 to 7.8 years by reducing the frequency of charging and discharging cycles and subsequently mitigating the need for battery replacement.</p><h2>Other Information</h2><p dir="ltr">Published in: Clean Technologies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/cleantechnol6020032" target="_blank">https://dx.doi.org/10.3390/cleantechnol6020032</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.3390/cleantechnol6020032
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/28910054
publishDate 2024
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spelling On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in IraqHussain Alshamri (21225128)Timothy Cockerill (7180805)Alison S. Tomlin (11682144)Moustafa Al-Damook (21225131)Mansour Al Qubeissi (20931869)Earth sciencesClimate change scienceEconomicsApplied economicsEngineeringElectrical engineeringEnvironmental engineeringInformation and computing sciencesArtificial intelligenceBatteryElectric powerHybrid systemOptimizationRenewable energySolar energyWind energy<p dir="ltr">This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. The focus is on mitigating unscheduled outages on the national grid in Iraq. The proposed On–off-grid HRES method is implemented using MATLAB and relies on an iterative technique to achieve multi-objectives, balancing reliability and economic constraints. The optimal HRES configuration is determined by evaluating various scenarios related to energy flow management, electricity prices, and land cover effects. Consumer requirements regarding cost and reliability are factored into a 2D optimization process. A battery model is developed to capture the dynamic exchange of energy among different renewable sources, battery storage, and energy demands. A detailed case study across fifteen locations in Iraq, including water, desert, and urban areas, revealed that local wind speed significantly affects the feasibility and efficiency of the HRES. Locations with higher wind speeds, such as the Haditha lake region (payback period: 7.8 years), benefit more than urban areas (Haditha city: payback period: 12.4 years). This study also found that not utilizing the battery, particularly during periods of high electricity prices (e.g., 2015), significantly impacts the HRES performance. In the Haditha water area, for instance, this technique reduced the payback period from 20.1 to 7.8 years by reducing the frequency of charging and discharging cycles and subsequently mitigating the need for battery replacement.</p><h2>Other Information</h2><p dir="ltr">Published in: Clean Technologies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/cleantechnol6020032" target="_blank">https://dx.doi.org/10.3390/cleantechnol6020032</a></p>2024-05-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/cleantechnol6020032https://figshare.com/articles/journal_contribution/On_off-Grid_Optimal_Hybrid_Renewable_Energy_Systems_for_House_Units_in_Iraq/28910054CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/289100542024-05-01T00:00:00Z
spellingShingle On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
Hussain Alshamri (21225128)
Earth sciences
Climate change science
Economics
Applied economics
Engineering
Electrical engineering
Environmental engineering
Information and computing sciences
Artificial intelligence
Battery
Electric power
Hybrid system
Optimization
Renewable energy
Solar energy
Wind energy
status_str publishedVersion
title On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
title_full On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
title_fullStr On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
title_full_unstemmed On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
title_short On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
title_sort On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
topic Earth sciences
Climate change science
Economics
Applied economics
Engineering
Electrical engineering
Environmental engineering
Information and computing sciences
Artificial intelligence
Battery
Electric power
Hybrid system
Optimization
Renewable energy
Solar energy
Wind energy