Multi-objective Optimization Of Daylight

Multi-Objective Optimization of Daylight is a computational framework in building performance simulation that systematically balances competing objectives—such as maximizing daylight availability, minimizing energy demand for lighting and cooling, and ensuring visual comfort—through integrated analysis and trade-off evaluation to support energy-efficient and human-centric architectural design.

99

Publications

5.1K

Citations

282

Authors

122

Institutions

Publications per year

2017–2026

72

Publications

99

1–5 of 99

Authors

282

  1. MM
    Mohammadjavad Mahdavinejad

    Tarbiat Modares University, Iran

    5 publications · 393 citations

    5

    h-index

  2. TW
    Thomas Wortmann

    Singapore University of Technology and Design, Singapore

    3 publications · 147 citations

    3

    h-index

  3. HS
    Hamed Sangin

    Politecnico di Torino, Italy

    3 publications · 124 citations

    3

    h-index

  4. MT
    Michela Turrin

    Delft University of Technology, Netherlands

    3 publications · 39 citations

    3

    h-index

  5. YK
    Yun Kyu Yi

    University of Illinois Urbana-Champaign, United States

    3 publications · 253 citations

    3

    h-index

1–5 of 282

Venues

  1. Building and Environment

    13 publications · 1.2K citations

    12

    h-index

  2. Energy and Buildings

    12 publications · 657 citations

    10

    h-index

  3. Journal of Building Engineering

    11 publications · 456 citations

    10

    h-index

  4. Sustainability

    5 publications · 125 citations

    5

    h-index

  5. Applied Energy

    5 publications · 797 citations

    5

    h-index

1–5