Concepedia

Computational Shading Optimization

Computational Shading Optimization is a computational method that systematically determines optimal shading configurations for buildings by leveraging simulation models and performance-based algorithms to minimize energy demand and improve indoor environmental quality in response to site-specific climatic conditions.

1

Publications

33

Citations

5

Authors

1

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

5

  1. GG
    Garvin Goepel

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 33 citations

    1

    h-index

  2. CY
    Chun Yu

    Tsinghua University, China

    1 publications · 33 citations

    1

    h-index

  3. CK
    Clive Kirsten

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 33 citations

    1

    h-index

  4. JW
    Jeff Wong

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 33 citations

    1

    h-index

  5. JV
    Jeroen van Ameijde

    Utrecht University, Netherlands

    1 publications · 33 citations

    1

    h-index

1–5 of 5

Institutions

1

  1. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    1 h-index

    3 publications

    99 citations

1–1 of 1

Venues

  1. Frontiers of Architectural Research

    1 publications · 33 citations

    1

    h-index

1–1