IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i8p10809-10836d53879.html
   My bibliography  Save this article

Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort

Author

Listed:
  • Fabrizio Ascione

    (DII—Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio, 80, 80125 Napoli, Italy)

  • Nicola Bianco

    (DII—Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio, 80, 80125 Napoli, Italy)

  • Rosa Francesca De Masi

    (DING—Department of Engineering, University of Sannio, Piazza Roma, 21, 82100 Benevento, Italy)

  • Gerardo Maria Mauro

    (DII—Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio, 80, 80125 Napoli, Italy)

  • Giuseppe Peter Vanoli

    (DING—Department of Engineering, University of Sannio, Piazza Roma, 21, 82100 Benevento, Italy)

Abstract

According to the increasing worldwide attention to energy and the environmental performance of the building sector, building energy demand should be minimized by considering all energy uses. In this regard, the development of building components characterized by proper values of thermal transmittance, thermal capacity, and radiative properties is a key strategy to reduce the annual energy need for the microclimatic control. However, the design of the thermal characteristics of the building envelope is an arduous task, especially in temperate climates where the energy demands for space heating and cooling are balanced. This study presents a novel methodology for optimizing the thermo-physical properties of the building envelope and its coatings, in terms of thermal resistance, capacity, and radiative characteristics of exposed surfaces. A multi-objective approach is adopted in order to optimize energy performance and thermal comfort. The optimization problem is solved by means of a Genetic Algorithm implemented in MATLAB ® , which is coupled with EnergyPlus for performing dynamic energy simulations. For demonstration, the methodology is applied to a residential building for two different Mediterranean climates: Naples and Istanbul. The results show that for Naples, because of the higher incidence of cooling demand, cool external coatings imply significant energy savings, whereas the insulation of walls should be high but not excessive (no more than 13–14 cm). The importance of high-reflective coating is clear also in colder Mediterranean climates, like Istanbul, although the optimal thicknesses of thermal insulation are higher (around 16–18 cm). In both climates, the thermal envelope should have a significant mass, obtainable by adopting dense and/or thick masonry layers. Globally, a careful design of the thermal envelope is always necessary in order to achieve high-efficiency buildings.

Suggested Citation

  • Fabrizio Ascione & Nicola Bianco & Rosa Francesca De Masi & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2015. "Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort," Sustainability, MDPI, vol. 7(8), pages 1-28, August.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10809-10836:d:53879
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/8/10809/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/8/10809/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yao, Jian, 2012. "Energy optimization of building design for different housing units in apartment buildings," Applied Energy, Elsevier, vol. 94(C), pages 330-337.
    2. Jian Yao, 2014. "A Multi-Objective (Energy, Economic and Environmental Performance) Life Cycle Analysis for Better Building Design," Sustainability, MDPI, vol. 6(2), pages 1-13, January.
    3. Cotana, Franco & Rossi, Federico & Filipponi, Mirko & Coccia, Valentina & Pisello, Anna Laura & Bonamente, Emanuele & Petrozzi, Alessandro & Cavalaglio, Gianluca, 2014. "Albedo control as an effective strategy to tackle Global Warming: A case study," Applied Energy, Elsevier, vol. 130(C), pages 641-647.
    4. Ascione, Fabrizio & Bianco, Nicola & De Masi, Rosa Francesca & de’ Rossi, Filippo & Vanoli, Giuseppe Peter, 2014. "Energy refurbishment of existing buildings through the use of phase change materials: Energy savings and indoor comfort in the cooling season," Applied Energy, Elsevier, vol. 113(C), pages 990-1007.
    5. Yao, Jian, 2014. "Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis," Applied Energy, Elsevier, vol. 127(C), pages 64-80.
    6. Shaviv, Edna & Yezioro, Abraham & Capeluto, Isaac G, 2001. "Thermal mass and night ventilation as passive cooling design strategy," Renewable Energy, Elsevier, vol. 24(3), pages 445-452.
    7. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    8. Badescu, Viorel & Laaser, Nadine & Crutescu, Ruxandra, 2010. "Warm season cooling requirements for passive buildings in Southeastern Europe (Romania)," Energy, Elsevier, vol. 35(8), pages 3284-3300.
    9. Ascione, Fabrizio & Bellia, Laura & Capozzoli, Alfonso, 2013. "A coupled numerical approach on museum air conditioning: Energy and fluid-dynamic analysis," Applied Energy, Elsevier, vol. 103(C), pages 416-427.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ascione, Fabrizio & Böttcher, Olaf & Kaltenbrunner, Robert & Vanoli, Giuseppe Peter, 2017. "Methodology of the cost-optimality for improving the indoor thermal environment during the warm season. Presentation of the method and application to a new multi-storey building in Berlin," Applied Energy, Elsevier, vol. 185(P2), pages 1529-1541.
    2. Cristina Carletti & Fabio Sciurpi & Leone Pierangioli, 2014. "The Energy Upgrading of Existing Buildings: Window and Shading Device Typologies for Energy Efficiency Refurbishment," Sustainability, MDPI, vol. 6(8), pages 1-24, August.
    3. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    4. Prada, A. & Gasparella, A. & Baggio, P., 2018. "On the performance of meta-models in building design optimization," Applied Energy, Elsevier, vol. 225(C), pages 814-826.
    5. Ihara, Takeshi & Gao, Tao & Grynning, Steinar & Jelle, Bjørn Petter & Gustavsen, Arild, 2015. "Aerogel granulate glazing facades and their application potential from an energy saving perspective," Applied Energy, Elsevier, vol. 142(C), pages 179-191.
    6. Won-Jun Suh & Cheol-Soo Park, 2017. "Heuristic vs . Meta-Heuristic Optimal Energy Design for an Office Building," Sustainability, MDPI, vol. 9(4), pages 1-15, March.
    7. Karmellos, M. & Kiprakis, A. & Mavrotas, G., 2015. "A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies," Applied Energy, Elsevier, vol. 139(C), pages 131-150.
    8. Ramponi, Rubina & Angelotti, Adriana & Blocken, Bert, 2014. "Energy saving potential of night ventilation: Sensitivity to pressure coefficients for different European climates," Applied Energy, Elsevier, vol. 123(C), pages 185-195.
    9. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    10. Aste, Niccolò & Leonforte, Fabrizio & Manfren, Massimiliano & Mazzon, Manlio, 2015. "Thermal inertia and energy efficiency – Parametric simulation assessment on a calibrated case study," Applied Energy, Elsevier, vol. 145(C), pages 111-123.
    11. Zhouchen Zhang & Jian Yao & Rongyue Zheng, 2024. "Multi-Objective Optimization of Building Energy Saving Based on the Randomness of Energy-Related Occupant Behavior," Sustainability, MDPI, vol. 16(5), pages 1-20, February.
    12. Ceballos-Fuentealba, Irlanda & Álvarez-Miranda, Eduardo & Torres-Fuchslocher, Carlos & del Campo-Hitschfeld, María Luisa & Díaz-Guerrero, John, 2019. "A simulation and optimisation methodology for choosing energy efficiency measures in non-residential buildings," Applied Energy, Elsevier, vol. 256(C).
    13. Nutkiewicz, Alex & Jain, Rishee K. & Bardhan, Ronita, 2018. "Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India," Applied Energy, Elsevier, vol. 231(C), pages 433-445.
    14. Enghok Leang & Pierre Tittelein & Laurent Zalewski & Stéphane Lassue, 2020. "Design Optimization of a Composite Solar Wall Integrating a PCM in a Individual House: Heating Demand and Thermal Comfort Considerations," Energies, MDPI, vol. 13(21), pages 1-29, October.
    15. Joan Manuel Felix Benitez & Luis Alfonso del Portillo-Valdés & Rene Pérez & David Sosa, 2022. "Methodology to Determine Energy Efficiency Strategies in Buildings Sited in Tropical Climatic Zones; Case Study, Buildings of the Tertiary Sector in the Dominican Republic," Energies, MDPI, vol. 15(13), pages 1-31, June.
    16. Feng, Wei & Zhang, Qianning & Ji, Hui & Wang, Ran & Zhou, Nan & Ye, Qing & Hao, Bin & Li, Yutong & Luo, Duo & Lau, Stephen Siu Yu, 2019. "A review of net zero energy buildings in hot and humid climates: Experience learned from 34 case study buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    17. Jian Yao & Rongyue Zheng, 2019. "Uncertainty of Energy and Economic Performance of Manual Solar Shades in Hot Summer and Cold Winter Regions of China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    18. Zhou, Xiaohai & Carmeliet, Jan & Sulzer, Matthias & Derome, Dominique, 2020. "Energy-efficient mitigation measures for improving indoor thermal comfort during heat waves," Applied Energy, Elsevier, vol. 278(C).
    19. Best, Robert E. & Flager, Forest & Lepech, Michael D., 2015. "Modeling and optimization of building mix and energy supply technology for urban districts," Applied Energy, Elsevier, vol. 159(C), pages 161-177.
    20. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10809-10836:d:53879. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.