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Research Article

Metamodeling and multicriteria analysis for sustainable and passive residential building refurbishment: A case study of French housing stock

Zaid Romani1( )Abdeslam Draoui2Francis Allard3
LaRAT, National School of Architecture of Tetouan, Morocco
Team of Heat Transfer & Energetic FST of Tangier (UAE/U10FST), Abdelmalek Essaâdi University, Morocco
LaSIE, La Rochelle University, France
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Abstract

For the energy-related issues that the world is facing nowadays, the renovation of the building stock is one of the major challenges. The objective of this study is to present an approach that helps to develop a multi-criteria decision support tool dedicated to the rehabilitation of sustainable and passive energy housing by integrating heating energy needs, economic, social and environmental criteria throughout the life cycle stages of the building. The methodology consists of developing metamodels to predict heating energy needs from polynomial regression, design of experiments method and thermo-aeraulic simulations of building behavior. This metamodel is used to carry out a combinatorial study of real technical solutions. The methodology was applied to a real-life existing building located in La Rochelle city (France) based on an in-situ energy diagnosis. Three multicriteria analysis methods were studied and compared: weighted sum, Min-Max and Pareto concept. Furthermore, technical constraints as well as owner preferences and performance constraints have been studied. Optimal technical solutions have been obtained in order to meet the various criteria studied. In addition, window shading and natural ventilation have been proposed to reduce the thermal discomfort rate in summer. This study was extended to all French regions. Finally, this method can be transformed into a decision support tool which will be useful for architects, engineers and stockholders.

References

 
ADEME (2015). OPEN, Campagne 2015. Available at https://www.ademe.fr/sites/default/files/assets/documents/open_2015_8679.pdf. Accessed 1 May 2020
 
ADEME (2018). Chiffres-clés 2018—Climat, air et énergie. Available at https://www.ademe.fr/sites/default/files/assets/documents/2018-climat-air-energie_chiffres-cles-010354.pdf. Accessed 1 May 2020. (in French)
 
ADEME (2019a). Prospectives 2035 et 2050 de consommation de matériaux pour la construction neuve et la rénovation énergétique BBC. Available at https://www.ademe.fr/prospectives-2035-2050-consommation-materiaux-construction-neuve-renovation-energetique-bbc. Accessed 1 May 2020. (in French)
 
ADEME (2019b). Rénovation énergétique des logements: étude des prix. Available at https://www.ademe.fr/renovation-energetique-logements-etude-prix. Accessed 19 Feb 2020. (in French)
 
ADEME (2019c). Individualisation des frais de chauffage (IFC) dans les logements collectifs. Available at https://www.ademe.fr/individualisation-frais-chauffage-ifc-logements-collectifs. Accessed 5 Mar 2020. (in French)
 

Attia S, Hamdy M, O'Brien W, et al. (2013). Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design. Energy and Buildings, 60: 110–124.

 

Becchio C, Dabbene P, Fabrizio E, et al. (2015). Cost optimality assessment of a single family house: Building and technical systems solutions for the nZEB target. Energy and Buildings, 90: 173–187.

 
Borne E, Wargon E, Julien D (2020). RE2020: Une nouvelle étape vers une future règlementation environnementale des bâtiments neufs plus ambitieuse contre le changement climatique | Ministère de la Transition écologique. Available at https://www.ecologie.gouv.fr/re2020-nouvelle-etape-vers-future-reglementation-environnementale-des-batiments-neufs-plus. Accessed 19 Feb 2020. (in French)
 

Bouzarovski S, Petrova S (2015). A global perspective on domestic energy deprivation: Overcoming the energy poverty–fuel poverty binary. Energy Research & Social Science, 10: 31–40.

 

Bre F, Roman N, Fachinotti VD (2020). An efficient metamodel- based method to carry out multi-objective building performance optimizations. Energy and Buildings, 206: 109576.

 

Chantrelle FP, Lahmidi H, Keilholz W, et al. (2011). Development of a multicriteria tool for optimizing the renovation of buildings. Applied Energy, 88: 1386–1394.

 

Chardon S, Brangeon B, Bozonnet E, et al. (2016). Construction cost and energy performance of single family houses: From integrated design to automated optimization. Automation in Construction, 70: 1–13.

 

Chen X, Yang H, Lu L (2015). A comprehensive review on passive design approaches in green building rating tools. Renewable and Sustainable Energy Reviews, 50: 1425–1436.

 

Chen X, Qu K, Calautit J, et al. (2020). Multi-criteria assessment approach for a residential building retrofit in Norway. Energy and Buildings, 215: 109668.

 

Chlela F, Husaunndee A, Inard C, et al. (2009). A new methodology for the design of low energy buildings. Energy and Buildings, 41: 982–990.

 
Cype (2020). Générateur de prix de la construction. Available at http://www.prix-construction.info/. Accessed 19 Feb 2020.
 

Duprez S, Fouquet M, Herreros Q, et al. (2019). Improving life cycle-based exploration methods by coupling sensitivity analysis and metamodels. Sustainable Cities and Society, 44: 70–84.

 
Effinergie (2011). Le label Effinergie Rénovation. Available at https://www.effinergie.org/web/les-labels-effinergie/effinergie-renovation. Accessed 19 Feb 2020. (in French)
 
Erbach G (2015). Understanding energy efficiency. Available at https://www.europarl.europa.eu/RegData/etudes/BRIE/2015/568361/EPRS_BRI(2015)568361_EN.pdf. Accessed 19 Jan 2020.
 

Evins R (2013). A review of computational optimisation methods applied to sustainable building design. Renewable and Sustainable Energy Reviews, 22: 230–245.

 

Ferrara M, Fabrizio E, Virgone J, Filippi M (2016). Energy systems in cost-optimized design of nearly zero-energy buildings. Automation in Construction, 70: 109–127.

 

Gan VJL, Lo IMC, Ma J, et al. (2020). Simulation optimisation towards energy efficient green buildings: Current status and future trends. Journal of Cleaner Production, 254: 120012.

 

Gaonkar P, Bapat J, Das D (2018). Location-aware multi-objective optimization for energy cost management in semi-public buildings using thermal discomfort information. Sustainable Cities and Society, 40: 174–181.

 

Goos P, Jones B (2011). Optimal Design of Experiments: A Case Study Approach. Chichester, UK: John Wiley & Sons.

 

Gou S, Nik VM, Scartezzini JL, et al. (2018). Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand. Energy and Buildings, 169: 484–506.

 
Goupy J (2013). Introduction aux plans d'expériences: avec applications. l'Usine nouvelle: Dunod, Paris. (in French)
 

Harkouss F, Fardoun F, Biwole PH (2018). Optimization approaches and climates investigations in NZEB—A review. Building Simulation, 11: 923–952.

 

Hawila AAW, Merabtine A, Troussier N, et al. (2019). Combined use of dynamic building simulation and metamodeling to optimize glass facades for thermal comfort. Building and Environment, 157: 47–63.

 

He Y, Liao N, Bi J, et al. (2019). Investment decision-making optimization of energy efficiency retrofit measures in multiple buildings under financing budgetary restraint. Journal of Cleaner Production, 215: 1078–1094.

 

Homaei S, Hamdy M (2020). A robustness-based decision making approach for multi-target high performance buildings under uncertain scenarios. Applied Energy, 267: 114868.

 
IEA (2019a). The Critical Role of Buildings. Available at https://www.iea.org/reports/the-critical-role-of-buildings. Accessed 19 Jan 2020.
 
IEA (2019b). Global Status Report for Buildings and Construction 2019. Available at https://www.iea.org/reports/global-status-report-for-buildings-and-construction-2019. Accessed 19 Jan 2020.
 
IEA (2020). Tracking Buildings 2020. Available at https://www.iea.org/reports/tracking-buildings-2020. Accessed 19 Feb 2020.
 

Ighravwe DE, Oke SA (2019). A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria. Journal of Building Engineering, 24: 100753.

 

Ilbeigi M, Ghomeishi M, Dehghanbanadaki A (2020). Prediction and optimization of energy consumption in an office building using artificial neural network and a genetic algorithm. Sustainable Cities and Society, 61: 102325.

 
INIES (2020). Environmental and health reference data for building. Available at https://www.inies.fr/accueil/. Accessed 9 Feb 2020.
 
Insee (2020). Taux d'inflation. https://www.insee.fr/fr/statistiques/2122401#graphique-figure1. Accessed 19 Feb 2020.
 
IRENA (2017). Synergies between renewable energy and energy efficiency. Available at https://www.irena.org/publications/2017/Aug/Synergies-between-renewable-energy-and-energy-efficiency. Accessed 9 Jan 2020.
 

Islam H, Jollands M, Setunge S (2015). Life cycle assessment and life cycle cost implication of residential buildings—A review. Renewable and Sustainable Energy Reviews, 42: 129–140.

 
ISO (2017a). ISO 13370: 2017—Performance thermique des bâtiments— Transfert de chaleur par le sol—Méthodes de calcul. Available at https://www.iso.org/fr/standard/65716.html. Accessed 9 Jan 2020.
 
ISO (2017b). ISO 14683: Ponts thermiques dans les bâtiments—Coefficient linéique de transmission thermique—Méthodes simplifiées et valeurs par défaut. Available at https://www.iso.org/fr/standard/65706.html. Accessed 9 Jan 2020.
 

Jaffal I, Inard C (2017). A metamodel for building energy performance. Energy and Buildings, 151: 501–510.

 

Jaffal I, Inard C (2019). An insight into the thermal behaviour of a building based on a metamodel for cooling energy consumption. Advances in Building Energy Research, : 1–25.

 

Jensen PA, Maslesa E, Berg JB, et al. (2018). 10 questions concerning sustainable building renovation. Building and Environment, 143: 130–137.

 

Kamari A, Corrao R, Kirkegaard PH (2017). Sustainability focused decision-making in building renovation. International Journal of Sustainable Built Environment, 6: 330–350.

 

Kamali M, Hewage K, Sadiq R (2019). Conventional versus modular construction methods: A comparative cradle-to-gate LCA for residential buildings. Energy and Buildings, 204: 109479.

 

Kheiri F (2018). A review on optimization methods applied in energy- efficient building geometry and envelope design. Renewable and Sustainable Energy Reviews, 92: 897–920.

 

Kontu K, Rinne S, Olkkonen V, et al. (2015). Multicriteria evaluation of heating choices for a new sustainable residential area. Energy and Buildings, 93: 169–179.

 

Lapisa R, Bozonnet E, Salagnac P, et al. (2018). Optimized design of low-rise commercial buildings under various climates—Energy performance and passive cooling strategies. Building and Environment, 132: 83–95.

 
Legifrance (2008). Arrêté du 13 juin 2008 relatif à la performance énergétique des bâtiments existants de surface supérieure à 1 000 mètres carrés, lorsqu'ils font l'objet de travaux de rénovation importants - Légifrance. https://www.legifrance.gouv.fr/loda/id/JORFTEXT000019308241/. Accessed 10 Mar 2020.
 
Legifrance (2010). French thermal building regulation RT2012 - Arrêté du 26 octobre 2010 relatif aux caractéristiques thermiques et aux exigences de performance énergétique des bâtiments nouveaux et des parties nouvelles de bâtiments. Available at http://www.rt-batiment.fr./. Accessed 19 Jan 2020. (in French)
 
Legifrance (2017). Arrêté du 22 mars 2017 modifiant l'arrêté du 3 mai 2007 relatif aux caractéristiques thermiques et à la performance énergétique des bâtiments existants - Légifrance. Available at https://www.legifrance.gouv.fr/loda/id/JORFTEXT000034271631/. Accessed 12 Jan 2020. (in French)
 
Legifrance (2019). LOI n° 2019-1147 du 8 novembre 2019 relative à l'énergie et au climat. Available at https://www.legifrance.gouv.fr/loda/id/JORFTEXT000039355955/. Accessed 19 Feb 2020. (in French)
 

Liu T, Lee WL (2019). Using response surface regression method to evaluate the influence of window types on ventilation performance of Hong Kong residential buildings. Building and Environment, 154: 167–181.

 

Loikkanen O, Lahdelma R, Salminen P (2017). Multicriteria evaluation of sustainable energy solutions for Colosseum. Sustainable Cities and Society, 35: 289–297.

 

Longo S, Montana F, Riva Sanseverino E (2019). A review on optimization and cost-optimal methodologies in low-energy buildings design and environmental considerations. Sustainable Cities and Society, 45: 87–104.

 

MacHairas V, Tsangrassoulis A, Axarli K (2014). Algorithms for optimization of building design: A review. Renewable and Sustainable Energy Reviews, 31: 101–112.

 
Masson-Delmotte V, Zhai P, Pörtner H-O, et al. (2018) IPCC, 2018: Summary for Policymakers. In: Global Warming of 1.5℃. An IPCC Special Report on the impacts of global warming of 1.5℃ above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Available at https://www.ipcc.ch/sr15/chapter/spm/. Accessed 2 Jan 2020.
 

Meex E, Hollberg A, Knapen E, et al. (2018). Requirements for applying LCA-based environmental impact assessment tools in the early stages of building design. Building and Environment, 133: 228–236.

 

Moazzen N, Ashrafian T, Yilmaz Z, et al. (2020). A multi-criteria approach to affordable energy-efficient retrofit of primary school buildings. Applied Energy, 268: 115046.

 

Moghtadernejad S, Chouinard LE, Mirza MS (2018). Multi-criteria decision-making methods for preliminary design of sustainable facades. Journal of Building Engineering, 19: 181–190.

 

Nguyen A-T, Reiter S, Rigo P (2014). A review on simulation-based optimization methods applied to building performance analysis. Applied Energy, 113: 1043–1058.

 

Nielsen AN, Jensen RL, Larsen TS, et al. (2016). Early stage decision support for sustainable building renovation—A review. Building and Environment, 103: 165–181.

 

Nwodo MN, Anumba CJ (2019). A review of life cycle assessment of buildings using a systematic approach. Building and Environment, 162: 106290.

 

Østergård T, Jensen RL, Maagaard SE (2016). Building simulations supporting decision making in early design—A review. Renewable and Sustainable Energy Reviews, 61: 187–201.

 

Østergård T, Jensen RL, Maagaard SE (2018). A comparison of six metamodeling techniques applied to building performance simulations. Applied Energy, 211: 89–103.

 

Pombo O, Allacker K, Rivela B, et al. (2016). Sustainability assessment of energy saving measures: A multi-criteria approach for residential buildings retrofitting—A case study of the Spanish housing stock. Energy and Buildings, 116: 384–394.

 
Ritchie H, Roser M (2019). Access to energy. Available at https://ourworldindata.org/energy-access.
 

Romani Z, Draoui A, Allard F (2015). Metamodeling the heating and cooling energy needs and simultaneous building envelope optimization for low energy building design in Morocco. Energy and Buildings, 102: 139–148.

 

Roman ND, Bre F, Fachinotti VD, et al. (2020). Application and characterization of metamodels based on artificial neural networks for building performance simulation: a systematic review. Energy and Buildings, 217: 109972.

 

Ruparathna R, Hewage K, Sadiq R (2017). Economic evaluation of building energy retrofits: A fuzzy based approach. Energy and Buildings, 139: 395–406.

 

Santos R, Costa AA, Silvestre JD, et al. (2020). BIM-based life cycle assessment and life cycle costing of an office building in Western Europe. Building and Environment, 169: 106568.

 
Sayyad AS, Ammar H (2013). Pareto-optimal search-based software engineering (POSBSE): A literature survey. In: proceedings of the International Workshop on Realizing Synergies between Artificial Intelligence and Software Engineering (RAISE'13), San Francisco, USA.https://doi.org/10.1109/RAISE.2013.6615200
 

Schwartz Y, Raslan R, Mumovic D (2016). Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study. Energy, 97: 58–68.

 
SDES (2018). Chiffres clés de l'énergie. Available at https://www.statistiques.developpement-durable.gouv.fr/chiffres-cles-de-lenergie-edition-2018. Accessed 19 Feb 2020.
 

Sharif SA, Hammad A (2019). Simulation-based multi-objective optimization of institutional building renovation considering energy consumption, life-cycle cost and life-cycle assessment. Journal of Building Engineering, 21: 429–445.

 

Soust-Verdaguer B, Llatas C, García-Martínez A (2017). Critical review of bim-based LCA method to buildings. Energy and Buildings, 136: 110–120. Romani Z, Draoui A, Allard F (2015). Metamodeling the heating and cooling energy needs and simultaneous building envelope optimization for low energy building design in Morocco. Energy and Buildings, 102: 139–148.

 

Sun X, Gou Z, Lau SSY (2018). Cost-effectiveness of active and passive design strategies for existing building retrofits in tropical climate: Case study of a zero energy building. Journal of Cleaner Production, 183: 35–45.

 
THINK (2012). How to Refurbish All Buildings by 2050. Available at http://publications.europa.eu/resource/cellar/ba357640-fdcb-4b48-af0a-e1be69bebb52.0001.02/DOC_1. Accessed 9 Jan 2020.
 

Tian Z, Zhang X, Jin X, et al. (2018). Towards adoption of building energy simulation and optimization for passive building design: a survey and a review. Energy and Buildings, 158: 1306–1316.

 

Tijskens A, Roels S, Janssen H (2019). Neural networks for metamodelling the hygrothermal behaviour of building components. Building and Environment, 162: 106282.

 
UN Environment and International Energy Agency (2017). Towards a zero-emission, efficient, and resilient buildings and construction sector. Global Status Report 2017. Available at https://www.worldgbc.org/sites/default/files/UNEP188_GABC_en%28web%29.pdf. Accessed 19 Feb 2020
Building Simulation
Pages 453-472
Cite this article:
Romani Z, Draoui A, Allard F. Metamodeling and multicriteria analysis for sustainable and passive residential building refurbishment: A case study of French housing stock. Building Simulation, 2022, 15(3): 453-472. https://doi.org/10.1007/s12273-021-0806-7

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Received: 08 January 2021
Revised: 22 February 2021
Accepted: 06 April 2021
Published: 11 May 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021
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