A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method

Grid uncertainty, the availability of renewable sources, and power shortages are significant drawbacks for hybrid renewable energy systems. To address these issues, a two-step multi-objective optimization approach with a rule-based battery sizing can be used to identify the best energy management sc...

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Main Authors: Soroush Mousavi, Mohammad Hossein Jahangir, Alibakhsh Kasaeian
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Energy Conversion and Management: X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174525001345
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author Soroush Mousavi
Mohammad Hossein Jahangir
Alibakhsh Kasaeian
author_facet Soroush Mousavi
Mohammad Hossein Jahangir
Alibakhsh Kasaeian
author_sort Soroush Mousavi
collection DOAJ
description Grid uncertainty, the availability of renewable sources, and power shortages are significant drawbacks for hybrid renewable energy systems. To address these issues, a two-step multi-objective optimization approach with a rule-based battery sizing can be used to identify the best energy management scenario, and appropriate energy storage solutions can help mitigate these disadvantages. In this study, a high-rise residential building was modeled using EnergyPlus software. A variable temperature setpoint for the heating, ventilation and cooling (HVAC) system was implemented to maintain thermal comfort and achieve energy savings. Simulation results were then imported into Python, where a multi-objective optimization approach was applied to integrate renewable energy solutions. A multi-criteria decision-making (MCDM) method was used to identify the optimal solution among various alternatives. The findings show that battery sizing is crucial for optimizing the hybrid energy system, as excess electricity can be sold to the grid. Additionally, the study found that the annual total cost of the optimized hybrid renewable energy system for renewable energy generation in three selected cities is $0.18/kWh, $0.2/kWh, and $0.17/kWh for Tabriz, Tehran, and Yazd, respectively. Moreover, the proposed hybrid renewable energy system (HRES) for Tabriz, Tehran, and Yazd can potentially sell 30%, 24%, and 23% of their annual renewable energy generation to the grid.
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series Energy Conversion and Management: X
spelling doaj-art-8eec590e7ce343bbbd8dd2e60436cd162025-08-20T01:51:00ZengElsevierEnergy Conversion and Management: X2590-17452025-04-012610100210.1016/j.ecmx.2025.101002A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization methodSoroush Mousavi0Mohammad Hossein Jahangir1Alibakhsh Kasaeian2College of Interdisciplinary Science and Technology, University of Tehran, Tehran, IranCollege of Interdisciplinary Science and Technology, University of Tehran, Tehran, IranCorresponding author.; College of Interdisciplinary Science and Technology, University of Tehran, Tehran, IranGrid uncertainty, the availability of renewable sources, and power shortages are significant drawbacks for hybrid renewable energy systems. To address these issues, a two-step multi-objective optimization approach with a rule-based battery sizing can be used to identify the best energy management scenario, and appropriate energy storage solutions can help mitigate these disadvantages. In this study, a high-rise residential building was modeled using EnergyPlus software. A variable temperature setpoint for the heating, ventilation and cooling (HVAC) system was implemented to maintain thermal comfort and achieve energy savings. Simulation results were then imported into Python, where a multi-objective optimization approach was applied to integrate renewable energy solutions. A multi-criteria decision-making (MCDM) method was used to identify the optimal solution among various alternatives. The findings show that battery sizing is crucial for optimizing the hybrid energy system, as excess electricity can be sold to the grid. Additionally, the study found that the annual total cost of the optimized hybrid renewable energy system for renewable energy generation in three selected cities is $0.18/kWh, $0.2/kWh, and $0.17/kWh for Tabriz, Tehran, and Yazd, respectively. Moreover, the proposed hybrid renewable energy system (HRES) for Tabriz, Tehran, and Yazd can potentially sell 30%, 24%, and 23% of their annual renewable energy generation to the grid.http://www.sciencedirect.com/science/article/pii/S2590174525001345Building electricity demandMulti-objective optimizationMulti-criteria decision makingRenewable energySustainability
spellingShingle Soroush Mousavi
Mohammad Hossein Jahangir
Alibakhsh Kasaeian
A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method
Energy Conversion and Management: X
Building electricity demand
Multi-objective optimization
Multi-criteria decision making
Renewable energy
Sustainability
title A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method
title_full A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method
title_fullStr A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method
title_full_unstemmed A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method
title_short A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method
title_sort decision making method for optimal sizing of a sustainable residential building via a multi objective optimization method
topic Building electricity demand
Multi-objective optimization
Multi-criteria decision making
Renewable energy
Sustainability
url http://www.sciencedirect.com/science/article/pii/S2590174525001345
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