{
  "abstract": "Growing concerns about energy consumption and its connection to global warming highlight the importance of developing sustainable buildings. Shading devices are integral elements of buildings, developed to prevent high-penetrating sunlight. By effectively redirecting solar radiation, dynamic hybrid shadings can significantly lower energy consumption, improve useful daylighting, and increase the visibility of the view to outside scenery. However, the automated shadings based on widely used slat inclination control and the plane profile slats are inadequate for addressing issues for uniformly distributed daylighting. This study introduces an illuminance-driven vertical deployment and retraction strategy for trapezoidal split-facade louvers, integrating daylight uniformity, glare control, and view visibility within a multi-objective optimization framework. Simulations were performed through Ladybug Tools, Radiance, and an evolutionary algorithm (SPEA-2). The viability of proposed hybrid shadings was assessed for deep office spaces by increasing the room depth from 5.0 m to 8.0 m. The optimization of slat parameters, including length, tilt, and reflectance at the upper and lower sections of the split façade, was conducted in different climates. The automated slats based on partial vertical deployment and retraction of trapezoid hybrid shading devices may target above 90 % coverage of useful daylight illuminance (focusing on UDI 500∼1000 lx ) to achieve the recommended level of daylighting as an alternative to artificial lights between 09:00 and 16:00. At the same time, illuminance uniformity (Uo) remains above 0.40, whereas Daylight Glare Probability (DGP) is below 0.40. The visibility percentage increases to 70 % in the morning and afternoon, when slats tend to be retracted, while it decreases to 40 % in mid-day when slats are deployed. The results highlight the considerable efficacy of advanced trapezoidal‐profile louver shading systems in optimizing daylight distribution and occupants' comfort.",
  "abstract_shown": true,
  "affiliations": [
    "State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China; School of Architecture, South China University of Technology, Guangzhou 510640, China",
    "Department of Architectural Engineering, Faculty of Engineering, The Hashemite University, PO Box (330127), Zarqa 13133, Jordan",
    "College of Landscape Architecture and Art, Northwest A&F University, Yangling 712100, China",
    "School of Architecture, South China University of Technology, Guangzhou 510640, China",
    "Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China",
    "State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China; School of Architecture, South China University of Technology, Guangzhou 510640, China; Corresponding author.",
    "Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Adnan Ibrahim"
    },
    {
      "affs": [
        1
      ],
      "name": "Muna Alsukkar"
    },
    {
      "affs": [
        2
      ],
      "name": "Lu Wang"
    },
    {
      "affs": [
        3
      ],
      "name": "Roosmayri Lovina Hermaputi"
    },
    {
      "affs": [
        4
      ],
      "name": "Yifang Dong"
    },
    {
      "affs": [
        5
      ],
      "name": "Shi Yin"
    },
    {
      "affs": [
        0
      ],
      "name": "Yiqiang Xiao"
    },
    {
      "affs": [
        6
      ],
      "name": "Peng Hu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9nmpb8w27a0kc.bib",
  "cited_by": 9,
  "doi": "10.1016/j.enbenv.2026.02.006",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S2666123326000140",
  "id": "9nmpb8w27a0kc",
  "issns": [
    "2666-1233"
  ],
  "landing_url": "https://doi.org/10.1016/j.enbenv.2026.02.006",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "TD1-1066"
    ],
    [
      "lcc",
      "TH1-9745"
    ],
    [
      "openalex",
      "2215|Building Energy and Comfort Optimization"
    ]
  ],
  "openalex": "W7128470157",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-30",
  "publisher": "KeAi Communications Co., Ltd.",
  "ris": "https://research.draconitic.com/paper/9nmpb8w27a0kc.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:44:33Z",
      "native_id": "9e0585adaa5e4bdd8b4dc240ed3e5031",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.enbenv.2026.02.006"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "lcc:TD1-1066",
      "subfield": "environmental-science"
    }
  ],
  "title": "Targeting integrated daylighting comfort in deep office by multi-objective optimization using partial vertical deployment of adaptive corrugated shadings",
  "title_text": "Targeting integrated daylighting comfort in deep office by multi-objective optimization using partial vertical deployment of adaptive corrugated shadings",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:44:33Z",
  "url": "https://research.draconitic.com/paper/9nmpb8w27a0kc",
  "venue": "Energy and Built Environment",
  "versions": []
}