Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings

This paper investigates the optimization of insulation thickness with respect to the integration of renewable energy systems in residential buildings in order to improve energy efficiency, maximize the contribution of renewables and reduce life cycle costs. Using the DesignBuilder and EnergyPlus sof...

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Main Authors: Agis M. Papadopoulos, Konstantinos Polychronakis, Elli Kyriaki, Effrosyni Giama
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/22/5609
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author Agis M. Papadopoulos
Konstantinos Polychronakis
Elli Kyriaki
Effrosyni Giama
author_facet Agis M. Papadopoulos
Konstantinos Polychronakis
Elli Kyriaki
Effrosyni Giama
author_sort Agis M. Papadopoulos
collection DOAJ
description This paper investigates the optimization of insulation thickness with respect to the integration of renewable energy systems in residential buildings in order to improve energy efficiency, maximize the contribution of renewables and reduce life cycle costs. Using the DesignBuilder and EnergyPlus software, this study models a representative two-story residential building located in Athens, Greece. The building envelope features extruded polystyrene thermal insulation and windows with unplasticized polyvinyl chloride frames and low-e glazing. Six scenarios with hybrid renewable energy systems are analyzed, including air- and ground-source heat pumps, solar thermal systems and a biomass fired boiler, so as to assess energy consumption, economic feasibility and internal air temperature conditions. A Pareto-fronts-based optimization algorithm is applied to determine the optimal combination of insulation thicknesses for the walls, the roof and the floor, focusing on minimizing the life cycle cost and maximizing the percentage of renewable energy utilized. The results demonstrate that scenarios involving biomass boilers and solar thermal systems, both for heating and cooling, when combined with reasonable thermal protection, can effectively meet the recent European Union’s directive’s goal, with renewable energy systems contributing more than 50% of the total energy requirements, whilst maintaining acceptable internal air temperature conditions and having a life cycle cost lower than contemporary conventional buildings.
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institution Kabale University
issn 1996-1073
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publishDate 2024-11-01
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series Energies
spelling doaj-art-cdd18ba6f53e4581a94179b7d119a9c52024-11-26T18:02:02ZengMDPI AGEnergies1996-10732024-11-011722560910.3390/en17225609Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential BuildingsAgis M. Papadopoulos0Konstantinos Polychronakis1Elli Kyriaki2Effrosyni Giama3Process Equipment Design Laboratory, Department of Mechanical Engineering, Aristotle University, 54124 Thessaloniki, GreeceDepartment of Mechanical Engineering, National Technical University of Athens, 15772 Athens, GreeceProcess Equipment Design Laboratory, Department of Mechanical Engineering, Aristotle University, 54124 Thessaloniki, GreeceProcess Equipment Design Laboratory, Department of Mechanical Engineering, Aristotle University, 54124 Thessaloniki, GreeceThis paper investigates the optimization of insulation thickness with respect to the integration of renewable energy systems in residential buildings in order to improve energy efficiency, maximize the contribution of renewables and reduce life cycle costs. Using the DesignBuilder and EnergyPlus software, this study models a representative two-story residential building located in Athens, Greece. The building envelope features extruded polystyrene thermal insulation and windows with unplasticized polyvinyl chloride frames and low-e glazing. Six scenarios with hybrid renewable energy systems are analyzed, including air- and ground-source heat pumps, solar thermal systems and a biomass fired boiler, so as to assess energy consumption, economic feasibility and internal air temperature conditions. A Pareto-fronts-based optimization algorithm is applied to determine the optimal combination of insulation thicknesses for the walls, the roof and the floor, focusing on minimizing the life cycle cost and maximizing the percentage of renewable energy utilized. The results demonstrate that scenarios involving biomass boilers and solar thermal systems, both for heating and cooling, when combined with reasonable thermal protection, can effectively meet the recent European Union’s directive’s goal, with renewable energy systems contributing more than 50% of the total energy requirements, whilst maintaining acceptable internal air temperature conditions and having a life cycle cost lower than contemporary conventional buildings.https://www.mdpi.com/1996-1073/17/22/5609thermal insulationrenewable energyenergy efficiencyoptimization
spellingShingle Agis M. Papadopoulos
Konstantinos Polychronakis
Elli Kyriaki
Effrosyni Giama
Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
Energies
thermal insulation
renewable energy
energy efficiency
optimization
title Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
title_full Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
title_fullStr Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
title_full_unstemmed Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
title_short Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
title_sort multi objective optimization of insulation thickness with respect to on site res generation in residential buildings
topic thermal insulation
renewable energy
energy efficiency
optimization
url https://www.mdpi.com/1996-1073/17/22/5609
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AT konstantinospolychronakis multiobjectiveoptimizationofinsulationthicknesswithrespecttoonsiteresgenerationinresidentialbuildings
AT ellikyriaki multiobjectiveoptimizationofinsulationthicknesswithrespecttoonsiteresgenerationinresidentialbuildings
AT effrosynigiama multiobjectiveoptimizationofinsulationthicknesswithrespecttoonsiteresgenerationinresidentialbuildings