Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs
The retrofitting of buildings for improved energy efficiency has been recognized as crucial for achieving climate mitigation goals in Bosnia and Herzegovina (B&H). However, performing multi-objective optimizations for retrofitting existing buildings poses challenges, as it requires balancing con...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723012301 |
| _version_ | 1797378701724221440 |
|---|---|
| author | Džana Kadrić Amar Aganović Edin Kadrić |
| author_facet | Džana Kadrić Amar Aganović Edin Kadrić |
| author_sort | Džana Kadrić |
| collection | DOAJ |
| description | The retrofitting of buildings for improved energy efficiency has been recognized as crucial for achieving climate mitigation goals in Bosnia and Herzegovina (B&H). However, performing multi-objective optimizations for retrofitting existing buildings poses challenges, as it requires balancing conflicting objectives such as retrofit costs, energy savings, and CO2 reduction. To tackle this challenge, we employed a multi-objective analysis approach that aims to identify Pareto-optimal solutions for retrofitting, striking a balance between energy consumption, CO2 emissions, and retrofit costs. In this study, we utilized a combination of Full Factorial Design (FFD) and the state-of-the-art NSGA-III framework to evaluate energy-efficient (EE) retrofit strategies for residential buildings in B&H. The analysis was based on the existing building database from the national TABULA study, serving as a fundamental reference. By analyzing this data, we aimed to determine the optimal approach for EE retrofitting in single-family homes (SFH). Key results indicate that upgrading external walls and improving heating system efficiency are the most effective measures for reducing energy consumption and CO2 emissions. However, these measures come with higher retrofit costs. A multi-objective optimization approach identifies a set of non-dominated solutions representing energy efficiency retrofit measures with the lowest specific final energy for heating, specific CO2 emissions, and overall retrofit costs. The top-ranked set of measures achieves a Simple Payback Period (SPP) of 19.9 years. The insights gained from this study are intended to provide valuable guidance to decision-makers in formulating cost-effective and energy-efficient retrofitting strategies that simultaneously minimize annual energy consumption, CO2 emissions, and retrofit costs. |
| first_indexed | 2024-03-08T20:11:29Z |
| format | Article |
| id | doaj.art-c19f8c6be7164843838f6228e6a41970 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T20:11:29Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-c19f8c6be7164843838f6228e6a419702023-12-23T05:21:32ZengElsevierEnergy Reports2352-48472023-11-011019681981Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costsDžana Kadrić0Amar Aganović1Edin Kadrić2Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and HerzegovinaDepartment of Automation and Process Engineering, The Arctic University of Tromsø, Norway; Corresponding author.Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and HerzegovinaThe retrofitting of buildings for improved energy efficiency has been recognized as crucial for achieving climate mitigation goals in Bosnia and Herzegovina (B&H). However, performing multi-objective optimizations for retrofitting existing buildings poses challenges, as it requires balancing conflicting objectives such as retrofit costs, energy savings, and CO2 reduction. To tackle this challenge, we employed a multi-objective analysis approach that aims to identify Pareto-optimal solutions for retrofitting, striking a balance between energy consumption, CO2 emissions, and retrofit costs. In this study, we utilized a combination of Full Factorial Design (FFD) and the state-of-the-art NSGA-III framework to evaluate energy-efficient (EE) retrofit strategies for residential buildings in B&H. The analysis was based on the existing building database from the national TABULA study, serving as a fundamental reference. By analyzing this data, we aimed to determine the optimal approach for EE retrofitting in single-family homes (SFH). Key results indicate that upgrading external walls and improving heating system efficiency are the most effective measures for reducing energy consumption and CO2 emissions. However, these measures come with higher retrofit costs. A multi-objective optimization approach identifies a set of non-dominated solutions representing energy efficiency retrofit measures with the lowest specific final energy for heating, specific CO2 emissions, and overall retrofit costs. The top-ranked set of measures achieves a Simple Payback Period (SPP) of 19.9 years. The insights gained from this study are intended to provide valuable guidance to decision-makers in formulating cost-effective and energy-efficient retrofitting strategies that simultaneously minimize annual energy consumption, CO2 emissions, and retrofit costs.http://www.sciencedirect.com/science/article/pii/S2352484723012301Building retrofitMulti-objective optimizationEnergy efficiencyRetrofit costsCO2 emissionsPareto-optimal solutions |
| spellingShingle | Džana Kadrić Amar Aganović Edin Kadrić Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs Energy Reports Building retrofit Multi-objective optimization Energy efficiency Retrofit costs CO2 emissions Pareto-optimal solutions |
| title | Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs |
| title_full | Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs |
| title_fullStr | Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs |
| title_full_unstemmed | Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs |
| title_short | Multi-objective optimization of energy-efficient retrofitting strategies for single-family residential homes: Minimizing energy consumption, CO2 emissions and retrofit costs |
| title_sort | multi objective optimization of energy efficient retrofitting strategies for single family residential homes minimizing energy consumption co2 emissions and retrofit costs |
| topic | Building retrofit Multi-objective optimization Energy efficiency Retrofit costs CO2 emissions Pareto-optimal solutions |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723012301 |
| work_keys_str_mv | AT dzanakadric multiobjectiveoptimizationofenergyefficientretrofittingstrategiesforsinglefamilyresidentialhomesminimizingenergyconsumptionco2emissionsandretrofitcosts AT amaraganovic multiobjectiveoptimizationofenergyefficientretrofittingstrategiesforsinglefamilyresidentialhomesminimizingenergyconsumptionco2emissionsandretrofitcosts AT edinkadric multiobjectiveoptimizationofenergyefficientretrofittingstrategiesforsinglefamilyresidentialhomesminimizingenergyconsumptionco2emissionsandretrofitcosts |