IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12652-d933867.html
   My bibliography  Save this article

Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria

Author

Listed:
  • Soumaya Besbas

    (Laboratory of Design and Modeling of Architectural Forms and Ambiances (LACOMOFA), Department of Architecture, Mohamed Khider University, Biskra 07000, Algeria)

  • Francesco Nocera

    (Department of Civil Engineering and Architecture, University of Catania, Via Santa Sofia, 64, 95123 Catania, Italy)

  • Noureddine Zemmouri

    (Laboratory of Design and Modeling of Architectural Forms and Ambiances (LACOMOFA), Department of Architecture, Mohamed Khider University, Biskra 07000, Algeria)

  • Mohamed Amine Khadraoui

    (Laboratory of Construction Engineering and Architecture (LGCA), Abderrahmane Mira University, Bejaia 06000, Algeria)

  • Asma Besbas

    (Laboratory of Smart Computing (LINFI), Mohamed Khider University, Biskra 07000, Algeria)

Abstract

Daylight is an important factor that significantly contributes to patients’ healing, with a reduction in the length of stay in the hospital. It can strongly affect energy consumption negatively or positively through lighting control strategies. Therefore, the case of healthcare buildings is very particular and sensitive, especially under extreme climate conditions as in hot and arid regions. The present study aims to determine a balance between daylight use and energy consumption through a parametric-based optimization of the external shading system in a typical hospital room in Biskra. This paper demonstrates how the implementation of parametric design with evolutionary algorithms is considered a reliable strategy to reach optimum solutions in building performance problems. The daylight performance is investigated based on multi-objective optimization to minimize the Energy Use Intensity “EUI”, while maximizing Spatial Daylight Autonomy “sDA” and Useful Daylight Illuminance “UDI”. A simulation model was developed via Grasshopper, which was employed with the use of Ladybug, Honeybee, and Octopus plug-ins. The results revealed that the adaptive facade system can improve indoor daylight levels and energy performance simultaneously compared to the conventional shading system. The presented framework may be used as a reference model, which can enhance opportunities to solve complex design problems in the early design stages and suggest recommendations for sustainable building design.

Suggested Citation

  • Soumaya Besbas & Francesco Nocera & Noureddine Zemmouri & Mohamed Amine Khadraoui & Asma Besbas, 2022. "Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12652-:d:933867
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12652/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/19/12652/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesco Nocera & Alessandro Lo Faro & Vincenzo Costanzo & Chiara Raciti, 2018. "Daylight Performance of Classrooms in a Mediterranean School Heritage Building," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Germán Ramos Ruiz & Carlos Fernández Bandera, 2017. "Validation of Calibrated Energy Models: Common Errors," Energies, MDPI, vol. 10(10), pages 1-19, October.
    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. Francesco Nocera & Rosa Caponetto & Giada Giuffrida & Maurizio Detommaso, 2020. "Energetic Retrofit Strategies for Traditional Sicilian Wine Cellars: A Case Study," Energies, MDPI, vol. 13(12), pages 1-17, June.
    2. Žižak, Tej & Domjan, Suzana & Medved, Sašo & Arkar, Ciril, 2022. "Efficiency and sustainability assessment of evaporative cooling of photovoltaics," Energy, Elsevier, vol. 254(PA).
    3. Martín Pensado-Mariño & Lara Febrero-Garrido & Pablo Eguía-Oller & Enrique Granada-Álvarez, 2021. "Feasibility of Different Weather Data Sources Applied to Building Indoor Temperature Estimation Using LSTM Neural Networks," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    4. Abdelhakim Mesloub & Aritra Ghosh & Mabrouk Touahmia & Ghazy Abdullah Albaqawy & Emad Noaime & Badr M. Alsolami, 2020. "Performance Analysis of Photovoltaic Integrated Shading Devices (PVSDs) and Semi-Transparent Photovoltaic (STPV) Devices Retrofitted to a Prototype Office Building in a Hot Desert Climate," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    5. Kittisak Lohwanitchai & Daranee Jareemit, 2021. "Modeling Energy Efficiency Performance and Cost-Benefit Analysis Achieving Net-Zero Energy Building Design: Case Studies of Three Representative Offices in Thailand," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    6. Gigih Rahmandhani Setyantho & Hansaem Park & Seongju Chang, 2021. "Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    7. Tomasz Szul & Krzysztof Nęcka & Stanisław Lis, 2021. "Application of the Takagi-Sugeno Fuzzy Modeling to Forecast Energy Efficiency in Real Buildings Undergoing Thermal Improvement," Energies, MDPI, vol. 14(7), pages 1-16, March.
    8. Suzana Domjan & Sašo Medved & Boštjan Černe & Ciril Arkar, 2019. "Fast Modelling of nZEB Metrics of Office Buildings Built with Advanced Glass and BIPV Facade Structures," Energies, MDPI, vol. 12(16), pages 1-18, August.
    9. Ana Ogando-Martínez & Javier López-Gómez & Lara Febrero-Garrido, 2018. "Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques," Energies, MDPI, vol. 11(8), pages 1-13, August.
    10. Karim Mohamed Ragab & Mehmet Fatih Orhan & Kenan Saka & Yousef Zurigat, 2022. "A Study and Assessment of the Status of Energy Efficiency and Conservation at School Buildings," Sustainability, MDPI, vol. 14(17), pages 1-31, August.
    11. Shamsi, Mohammad Haris & Ali, Usman & Mangina, Eleni & O’Donnell, James, 2021. "Feature assessment frameworks to evaluate reduced-order grey-box building energy models," Applied Energy, Elsevier, vol. 298(C).
    12. Joanna Piotrowska-Woroniak & Tomasz Szul, 2022. "Application of a Model Based on Rough Set Theory (RST) to Estimate the Energy Efficiency of Public Buildings," Energies, MDPI, vol. 15(23), pages 1-13, November.
    13. Sara Eriksson & Lovisa Waldenström & Max Tillberg & Magnus Österbring & Angela Sasic Kalagasidis, 2019. "Numerical Simulations and Empirical Data for the Evaluation of Daylight Factors in Existing Buildings in Sweden," Energies, MDPI, vol. 12(11), pages 1-24, June.
    14. Suzana Domjan & Lenart Petek & Ciril Arkar & Sašo Medved, 2020. "Experimental Study on Energy Efficiency of Multi-Functional BIPV Glazed Façade Structure during Heating Season," Energies, MDPI, vol. 13(11), pages 1-19, June.
    15. Jesús Araúz & Dafni Mora & Miguel Chen Austin, 2022. "Assessment of Different Envelope Configurations via Optimization Analysis and Thermal Performance Indicators: A Case Study in a Tropical Climate," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    16. Sanjin Gumbarević & Ivana Burcar Dunović & Bojan Milovanović & Mergim Gaši, 2020. "Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery," Energies, MDPI, vol. 13(20), pages 1-21, October.
    17. David Bienvenido-Huertas, 2020. "Analysis of the Impact of the Use Profile of HVAC Systems Established by the Spanish Standard to Assess Residential Building Energy Performance," Sustainability, MDPI, vol. 12(17), pages 1-19, September.
    18. Pasichnyi, Oleksii & Wallin, Jörgen & Kordas, Olga, 2019. "Data-driven building archetypes for urban building energy modelling," Energy, Elsevier, vol. 181(C), pages 360-377.
    19. Przemyslaw Tabaka & Justyna Wtorkiewicz, 2022. "Analysis of the Spectral Sensitivity of Luxmeters and Light Sensors of Smartphones in Terms of Their Influence on the Results of Illuminance Measurements—Example Cases," Energies, MDPI, vol. 15(16), pages 1-21, August.
    20. Krzysztof Nęcka & Tomasz Szul, 2023. "Selection of a Multicriteria Method for Selecting Independent Variables for Forecasting the Energy Potential of Municipal Waste—A Case Study in Poland," Energies, MDPI, vol. 16(12), pages 1-16, June.

    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:14:y:2022:i:19:p:12652-:d:933867. 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.