Computational analysis of energy and cost efficient retrofitting measures for the French house
Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelli...
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| Published in | Building and environment Vol. 175; p. 106792 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
15.05.2020
Elsevier BV Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0360-1323 1873-684X |
| DOI | 10.1016/j.buildenv.2020.106792 |
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| Abstract | Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelling. A parametric analysis tool was developed to run automated batch-simulations using EnergyPlus simulation engine and to calculate the cost associated with retrofit measures, at each simulation run. The automated simulations are carried out, using an exhaustive search technique, for all permutations of measures. These included different building fabrics, ventilation strategies, levels of air-tightness and 5 different heating systems for 4 main climatic regions of France (7680 variants for each of the 4 climatic region). In this analysis, an optimization problem is set to minimise the delivered energy and retrofitting investment cost subject to an energy-saving minimum limit, payback criterion, and summer overheating-risk. The results showed optimum solutions with different fabric and system retrofit combinations that varied in numbers for the different climatic zones. The upper bound of optimum investment cost varied from 80 to 290 €/m2 for Nice and Paris, respectively.
•Retrofitting of pre-1974 French houses can serve the EU 2050 energy-saving target.•Retrofitting measures are evaluated for energy/cost efficiency& overheating risk.•Wall insulation& energy-efficient systems had the greatest impact on energy-saving.•Energy/cost efficient candidate solutions varied in numbers for each city climate.•Candidate solutions did not include wall insulation variants with major system investment. |
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| AbstractList | Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelling. A parametric analysis tool was developed to run automated batch-simulations using EnergyPlus simulation engine and to calculate the cost associated with retrofit measures, at each simulation run. The automated simulations are carried out, using an exhaustive search technique, for all permutations of measures. These included different building fabrics, ventilation strategies, levels of air-tightness and 5 different heating systems for 4 main climatic regions of France (7680 variants for each of the 4 climatic region). In this analysis, an optimization problem is set to minimise the delivered energy and retrofitting investment cost subject to an energy-saving minimum limit, payback criterion, and summer overheating-risk. The results showed optimum solutions with different fabric and system retrofit combinations that varied in numbers for the different climatic zones. The upper bound of optimum investment cost varied from 80 and 290 €/m2 for Nice and Paris, respectively. Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelling. A parametric analysis tool was developed to run automated batch-simulations using EnergyPlus simulation engine and to calculate the cost associated with retrofit measures, at each simulation run. The automated simulations are carried out, using an exhaustive search technique, for all permutations of measures. These included different building fabrics, ventilation strategies, levels of air-tightness and 5 different heating systems for 4 main climatic regions of France (7680 variants for each of the 4 climatic region). In this analysis, an optimization problem is set to minimise the delivered energy and retrofitting investment cost subject to an energy-saving minimum limit, payback criterion, and summer overheating-risk. The results showed optimum solutions with different fabric and system retrofit combinations that varied in numbers for the different climatic zones. The upper bound of optimum investment cost varied from 80 to 290 €/m2 for Nice and Paris, respectively. •Retrofitting of pre-1974 French houses can serve the EU 2050 energy-saving target.•Retrofitting measures are evaluated for energy/cost efficiency& overheating risk.•Wall insulation& energy-efficient systems had the greatest impact on energy-saving.•Energy/cost efficient candidate solutions varied in numbers for each city climate.•Candidate solutions did not include wall insulation variants with major system investment. Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelling. A parametric analysis tool was developed to run automated batch-simulations using EnergyPlus simulation engine and to calculate the cost associated with retrofit measures, at each simulation run. The automated simulations are carried out, using an exhaustive search technique, for all permutations of measures. These included different building fabrics, ventilation strategies, levels of air-tightness and 5 different heating systems for 4 main climatic regions of France (7680 variants for each of the 4 climatic region). In this analysis, an optimization problem is set to minimise the delivered energy and retrofitting investment cost subject to an energy-saving minimum limit, payback criterion, and summer overheating-risk. The results showed optimum solutions with different fabric and system retrofit combinations that varied in numbers for the different climatic zones. The upper bound of optimum investment cost varied from 80 to 290 €/m2 for Nice and Paris, respectively. |
| ArticleNumber | 106792 |
| Author | Foda, Ehab Le Dréau, Jérôme El-Hamalawi, Ashraf |
| Author_xml | – sequence: 1 givenname: Ehab surname: Foda fullname: Foda, Ehab email: ehab.foda@brunel.ac.uk organization: Institute of Energy Futures, Brunel University London, UB8 1PH, UK – sequence: 2 givenname: Ashraf surname: El-Hamalawi fullname: El-Hamalawi, Ashraf organization: School of Civil and Building Engineering, Loughborough University, UK – sequence: 3 givenname: Jérôme surname: Le Dréau fullname: Le Dréau, Jérôme organization: LaSIE UMR CNRS, 7356, La Rochelle University, France |
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| Copyright | 2020 Elsevier Ltd Copyright Elsevier BV May 15, 2020 Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | Housing retrofit Dynamic thermal modelling Energy efficiency French house Domestic heating Optimization Cost efficiency |
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| Snippet | Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house... |
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| StartPage | 106792 |
| SubjectTerms | Airtightness Automation Civil Engineering Climate action Climate change Climatic zones Computer applications Computer simulation Cost analysis Cost efficiency Domestic heating Dynamic thermal modelling Energy Energy conservation Energy efficiency Engineering Sciences French house Heating systems Housing Housing retrofit Investment Optimization Overheating Parametric analysis Permutations Retrofitting Thermal analysis Upper bounds Ventilation |
| Title | Computational analysis of energy and cost efficient retrofitting measures for the French house |
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