A study on multicollinearity of design variables of office buildings’ standard floor regarding daylight and thermal performance

Weixiang Zhang; Jieli Sui; Ruru Lv

doi:10.1117/12.2646586

14 November 2022 A study on multicollinearity of design variables of office buildings’ standard floor regarding daylight and thermal performance

Weixiang Zhang, Jieli Sui, Ruru Lv

Author Affiliations +

Proceedings Volume 12299, International Conference on Sustainable Technology and Management (ICSTM 2022); 122990Z (2022) https://doi.org/10.1117/12.2646586
Event: International Conference on Sustainable Technology and Management (ICSTM 2022), 2022, Macao, China

Abstract

Taking standard floor of high-rise office buildings as a research object in five cities of northern coastal region, Lianyungang, Qingdao, Yantai, Tianjin and Dalian included, model simulation and performance calculation are carried out with the help of Ladybug + Honeybee (L + H) platform. Principal component analysis (PCA) is used to solve the multicollinearity problem that 15 design variables including a building’s body (B, DR, FH, C and RE), window form (WWR, WH, SH, WHD and WVD) and envelope property (K, SHGC, VT, EW_R and F_R) were reduced to 12 and divided into four principal components (PCs), namely PC1 (buildings’ appearance), PC2 (window position), PC3 (window property) and PC4 (exterior-wall property), and then weights of PC1~PC4 were obtained by weight analysis to be 0.41, 0.268, 0.188 and 0.134 respectively, and the principal component linear evaluation function was proposed as Q = 0.41 PC1 + 0.268 PC2 + 0.188 PC3 + 0.134 PC4. On the other hand, with the help of genetic algorithm (GA), buildings’ energy consumption (BEC), thermal discomfort (PPD, Predicted Percentage Dissatisfied) and natural daylighting (sDA, Spatial Daylight Autonomy) were coupled to optimize standard floor shapes to find out excellent solutions. In summary, the paper proposes a performance optimization design process of high-rise office buildings’ standard floor.

Citation Download Citation

Weixiang Zhang, Jieli Sui, and Ruru Lv "A study on multicollinearity of design variables of office buildings’ standard floor regarding daylight and thermal performance", Proc. SPIE 12299, International Conference on Sustainable Technology and Management (ICSTM 2022), 122990Z (14 November 2022); https://doi.org/10.1117/12.2646586

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Buildings

Principal component analysis

Climatology

Standards development

Device simulation

Light sources and illumination

Optimization (mathematics)

Show All Keywords

Keywords/Phrases

Search In:

Publication Years