IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v264y2023ics0360544222030626.html
   My bibliography  Save this article

Optimizing urban courtyard form through the coupling of outdoor zonal approach and building energy modeling

Author

Listed:
  • M'Saouri El Bat, Adnane
  • Romani, Zaid
  • Bozonnet, Emmanuel
  • Draoui, Abdeslam
  • Allard, Francis

Abstract

Urban courtyards are well known for their potential thermal performances in vernacular urban morphology. Furthermore, in a more general approach considering various cities and locations, new building uses, and climate changes, a correct courtyard design requires an accurate understanding of the complex interactions between buildings and their surroundings. This study aims to develop tools and processes to optimize the design of these urban courtyards. A microclimate model is developed and integrated in a building simulation software (TRNSYS) to evaluate the thermal microclimatic conditions of courtyard building, and their heating and cooling energy demand. A specific zonal model is developed for the local courtyard microclimate, which is coupled with a previously developed thermoradiative model. Indoor conditions are modeled by the multizone building model of TRNSYS. This methodology is used to investigate the microclimatic influence of different courtyard morphology on their thermal behavior in three different climates (hot, temperate and cold). An extended study on the impact of courtyard aspect ratios has been carried out. In order to optimize the courtyard heating and cooling energy needs, a multiple regression analysis was further used to develop the fast prediction model and then select the non-dominated solutions using pareto efficiency. The results suggest optimal morphology in order to enhance the energy performance of the courtyard, from which square shape is more advantageous in cold climates (reduced heating energy needs by approximately 48%), while the deep and less wide shape is more advantageous for hot and arid climates (reduced the cooling energy needs by about 10%). For temperate climate, the shape guaranteeing minimum energy needs and, in all seasons, is the one with less width and medium depth (allowing a reduction in energy needs of about 58%).

Suggested Citation

  • M'Saouri El Bat, Adnane & Romani, Zaid & Bozonnet, Emmanuel & Draoui, Abdeslam & Allard, Francis, 2023. "Optimizing urban courtyard form through the coupling of outdoor zonal approach and building energy modeling," Energy, Elsevier, vol. 264(C).
  • Handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222030626
    DOI: 10.1016/j.energy.2022.126176
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222030626
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.126176?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiaodong Xu & Fenlan Luo & Wei Wang & Tianzhen Hong & Xiuzhang Fu, 2018. "Performance-Based Evaluation of Courtyard Design in China’s Cold-Winter Hot-Summer Climate Regions," Sustainability, MDPI, vol. 10(11), pages 1-19, October.
    2. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    3. Chi, Fang'ai & Xu, Liming & Peng, Changhai, 2020. "Integration of completely passive cooling and heating systems with daylighting function into courtyard building towards energy saving," Applied Energy, Elsevier, vol. 266(C).
    4. Di Leo, Senatro & Caramuta, Pietro & Curci, Paola & Cosmi, Carmelina, 2020. "Regression analysis for energy demand projection: An application to TIMES-Basilicata and TIMES-Italy energy models," Energy, Elsevier, vol. 196(C).
    5. Zamani, Zahra & Heidari, Shahin & Hanachi, Pirouz, 2018. "Reviewing the thermal and microclimatic function of courtyards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 580-595.
    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. Yueran Wang & Wente Pan & Ziyan Liao, 2024. "Impact of Urban Morphology on High-Density Commercial Block Energy Consumption in Severe Cold Regions," Sustainability, MDPI, vol. 16(13), pages 1-26, July.
    2. Habibi, Shahryar & Kamel, Ehsan & Memari, Ali M., 2024. "Design strategies for addressing COVID-19 issues in buildings," Energy, Elsevier, vol. 293(C).

    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. Shimeng Hao & Changming Yu & Yuejia Xu & Yehao Song, 2019. "The Effects of Courtyards on the Thermal Performance of a Vernacular House in a Hot-Summer and Cold-Winter Climate," Energies, MDPI, vol. 12(6), pages 1-29, March.
    2. Tao Zhang & Qinian Hu & Qi Ding & Dian Zhou & Weijun Gao & Hiroatsu Fukuda, 2021. "Towards a Rural Revitalization Strategy for the Courtyard Layout of Vernacular Dwellings Based on Regional Adaptability and Outdoor Thermal Performance in the Gully Regions of the Loess Plateau, China," Sustainability, MDPI, vol. 13(23), pages 1-31, November.
    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. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    5. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    6. Rao, Congjun & Zhang, Yue & Wen, Jianghui & Xiao, Xinping & Goh, Mark, 2023. "Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model," Energy, Elsevier, vol. 263(PC).
    7. Allen-Dumas, Melissa R. & Rose, Amy N. & New, Joshua R. & Omitaomu, Olufemi A. & Yuan, Jiangye & Branstetter, Marcia L. & Sylvester, Linda M. & Seals, Matthew B. & Carvalhaes, Thomaz M. & Adams, Mark , 2020. "Impacts of the morphology of new neighborhoods on microclimate and building energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    8. Lu, Hongfang & Ma, Xin & Ma, Minda, 2021. "A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19," Energy, Elsevier, vol. 219(C).
    9. Tong Lei & Zuoqin Qian & Jie Ren, 2023. "Performance Evaluation of LiBr-H 2 O and LiCl-H 2 O Working Pairs in Compression-Assisted Double-Effect Absorption Refrigeration Systems for Utilization of Low-Temperature Heat Sources," Energies, MDPI, vol. 16(16), pages 1-19, August.
    10. Xiaodong Xu & Chenhuan Yin & Wei Wang & Ning Xu & Tianzhen Hong & Qi Li, 2019. "Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China," Sustainability, MDPI, vol. 11(13), pages 1-19, July.
    11. Østergård, Torben & Jensen, Rasmus Lund & Maagaard, Steffen Enersen, 2018. "A comparison of six metamodeling techniques applied to building performance simulations," Applied Energy, Elsevier, vol. 211(C), pages 89-103.
    12. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "A comparison of an energy/economic-based against an exergoeconomic-based multi-objective optimisation for low carbon building energy design," Energy, Elsevier, vol. 128(C), pages 244-263.
    13. Nurkhat Zhakiyev & Ayagoz Khamzina & Svetlana Zhakiyeva & Rocco De Miglio & Aidyn Bakdolotov & Carmelina Cosmi, 2023. "Optimization Modelling of the Decarbonization Scenario of the Total Energy System of Kazakhstan until 2060," Energies, MDPI, vol. 16(13), pages 1-14, July.
    14. Cristina Brunelli & Francesco Castellani & Alberto Garinei & Lorenzo Biondi & Marcello Marconi, 2016. "A Procedure to Perform Multi-Objective Optimization for Sustainable Design of Buildings," Energies, MDPI, vol. 9(11), pages 1-15, November.
    15. 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.
    16. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
    17. Alaia Sola & Cristina Corchero & Jaume Salom & Manel Sanmarti, 2018. "Simulation Tools to Build Urban-Scale Energy Models: A Review," Energies, MDPI, vol. 11(12), pages 1-24, November.
    18. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    19. Golpîra, Hêriş & Khan, Syed Abdul Rehman, 2019. "A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty," Energy, Elsevier, vol. 170(C), pages 1113-1129.
    20. Evins, Ralph, 2015. "Multi-level optimization of building design, energy system sizing and operation," Energy, Elsevier, vol. 90(P2), pages 1775-1789.

    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:eee:energy:v:264:y:2023:i:c:s0360544222030626. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.