IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1702-d493729.html
   My bibliography  Save this article

Evaluation of Environmental and Economic Sustainability for the Building Envelope of Low-Carbon Schools

Author

Listed:
  • Frida Bazzocchi

    (Department of Civil and Environmental Engineering, University of Florence, 50139 Florence, Italy)

  • Cecilia Ciacci

    (Department of Civil and Environmental Engineering, University of Florence, 50139 Florence, Italy)

  • Vincenzo Di Naso

    (Department of Civil and Environmental Engineering, University of Florence, 50139 Florence, Italy)

Abstract

To achieve a carbon-free economy by 2050, the construction of low-carbon schools in Italy must select the proper structural and technological solutions for the building envelope while ensuring a low economic cost. The aim of this study was to analyze and compare several technological solutions for the building envelope and the related structural solutions in terms of thermo-dynamic properties, energy performance, environmental sustainability parameters, and economic evaluations, to obtain one or more alternatives. After a general study, the binomial load-bearing structure–external wall was investigated given its strong influence on both the environment and the total cost. The solutions were used in a new typological model for the kindergarten. All the solutions are comparable from an energy and environmental point of view, obtaining a primary energy demand of <25 kWh/(m 2 year) and an environmental impact of <20 kWh/(m 2 year). However, considering the economic factor and analyzing the binomial load-bearing structure–external wall, the advisable solutions are those that use wooden structures with insulation layer in wood fiber as they have a significantly lower environmental impact, along with the same good energy performance and have an acceptable cost compared to other analyzed solutions.

Suggested Citation

  • Frida Bazzocchi & Cecilia Ciacci & Vincenzo Di Naso, 2021. "Evaluation of Environmental and Economic Sustainability for the Building Envelope of Low-Carbon Schools," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1702-:d:493729
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1702/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/4/1702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shi, Xing & Tian, Zhichao & Chen, Wenqiang & Si, Binghui & Jin, Xing, 2016. "A review on building energy efficient design optimization rom the perspective of architects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 872-884.
    2. Khan, Jibran & Arsalan, Mudassar H., 2016. "Solar power technologies for sustainable electricity generation – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 414-425.
    3. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    4. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    5. Kheiri, Farshad, 2018. "A review on optimization methods applied in energy-efficient building geometry and envelope design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 897-920.
    6. Ascione, Fabrizio & Bianco, Nicola & Maria Mauro, Gerardo & Napolitano, Davide Ferdinando, 2019. "Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones," Energy, Elsevier, vol. 174(C), pages 359-374.
    7. Lizana, Jesus & Serrano-Jimenez, Antonio & Ortiz, Carlos & Becerra, Jose A. & Chacartegui, Ricardo, 2018. "Energy assessment method towards low-carbon energy schools," Energy, Elsevier, vol. 159(C), pages 310-326.
    8. Saafi, Khawla & Daouas, Naouel, 2018. "A life-cycle cost analysis for an optimum combination of cool coating and thermal insulation of residential building roofs in Tunisia," Energy, Elsevier, vol. 152(C), pages 925-938.
    9. Paola Marrone & Paola Gori & Francesco Asdrubali & Luca Evangelisti & Laura Calcagnini & Gianluca Grazieschi, 2018. "Energy Benchmarking in Educational Buildings through Cluster Analysis of Energy Retrofitting," Energies, MDPI, vol. 11(3), pages 1-20, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francesco Asdrubali & Luca Evangelisti & Claudia Guattari & Marta Roncone & Daniele Milone, 2023. "Experimental Analysis of the Thermal Performance of Wood Fiber Insulating Panels," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    2. Han Yang & Koki Kikuta & Motoya Hayashi, 2022. "Research on Carbon Reduction of Residential Buildings in Severe Cold Regions Based on Renovation of Envelopes," Energies, MDPI, vol. 15(5), pages 1-19, March.
    3. Ana Rosa Gamarra & Carmen Lago & Israel Herrera-Orozco & Yolanda Lechón & Susana Marta Almeida & Joana Lage & Filipe Silva, 2021. "Low-Carbon Economy in Schools: Environmental Footprint and Associated Externalities of Five Schools in Southwestern Europe," Energies, MDPI, vol. 14(19), pages 1-20, September.

    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. Hou, Dan & Huang, Jiayu & Wang, Yanyu, 2023. "A comparison of approaches with different constraint handling techniques for energy-efficient building form optimization," Energy, Elsevier, vol. 277(C).
    2. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost," Energy, Elsevier, vol. 192(C).
    3. 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.
    4. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    5. Ana Mafalda Matos & João M. P. Q. Delgado & Ana Sofia Guimarães, 2022. "Energy-Efficiency Passive Strategies for Mediterranean Climate: An Overview," Energies, MDPI, vol. 15(7), pages 1-20, April.
    6. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    7. Chen, Ruijun & Tsay, Yaw-Shyan & Zhang, Ting, 2023. "A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective," Energy, Elsevier, vol. 262(PA).
    8. Lešnik, Maja & Kravanja, Stojan & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2020. "Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort," Applied Energy, Elsevier, vol. 270(C).
    9. Dietz, Annelore & Vera, Sergio & Bustamante, Waldo & Flamant, Gilles, 2020. "Multi-objective optimization to balance thermal comfort and energy use in a mining camp located in the Andes Mountains at high altitude," Energy, Elsevier, vol. 199(C).
    10. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings," Energies, MDPI, vol. 14(3), pages 1-30, January.
    11. Wu, Xianguo & Feng, Zongbao & Chen, Hongyu & Qin, Yawei & Zheng, Shiyi & Wang, Lei & Liu, Yang & Skibniewski, Miroslaw J., 2022. "Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    12. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    13. Kočí, Jan & Kočí, Václav & Maděra, Jiří & Černý, Robert, 2019. "Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 22-32.
    14. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "Impact of adjustment strategies on building design process in different climates oriented by multiple performance," Applied Energy, Elsevier, vol. 266(C).
    15. Krzysztof Grygierek & Joanna Ferdyn-Grygierek & Anna Gumińska & Łukasz Baran & Magdalena Barwa & Kamila Czerw & Paulina Gowik & Klaudia Makselan & Klaudia Potyka & Agnes Psikuta, 2020. "Energy and Environmental Analysis of Single-Family Houses Located in Poland," Energies, MDPI, vol. 13(11), pages 1-25, May.
    16. Zhou, Kai & Leng, Jia-Wei, 2023. "State-of-the-art research of performance-driven architectural design for low-carbon urban underground space: Systematic review and proposed design strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    17. Ciardiello, Adriana & Rosso, Federica & Dell'Olmo, Jacopo & Ciancio, Virgilio & Ferrero, Marco & Salata, Ferdinando, 2020. "Multi-objective approach to the optimization of shape and envelope in building energy design," Applied Energy, Elsevier, vol. 280(C).
    18. Bottino-Leone, Dario & Larcher, Marco & Herrera-Avellanosa, Daniel & Haas, Franziska & Troi, Alexandra, 2019. "Evaluation of natural-based internal insulation systems in historic buildings through a holistic approach," Energy, Elsevier, vol. 181(C), pages 521-531.
    19. Geraldi, Matheus Soares & Ghisi, Enedir, 2022. "Integrating evidence-based thermal satisfaction in energy benchmarking: A data-driven approach for a whole-building evaluation," Energy, Elsevier, vol. 244(PB).
    20. Xiaojun Liu & Xin Chen & Mehdi Shahrestani, 2020. "Optimization of Insulation Thickness of External Walls of Residential Buildings in Hot Summer and Cold Winter Zone of China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.

    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:13:y:2021:i:4:p:1702-:d:493729. 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.