Performance-Based Building Design for Solar Energy Production: A rooftop-PV-integrated building design generation and optimization workflow

The application of rooftop Photovoltaic (PV) panels to building design plays a critical role in achieving net-zero and sustainable buildings. In recent studies, computational design optimization has increasingly been utilized to optimize the PV array configuration to enhance the performance and power production of PV panels. However, existing studies often lack consideration of building massing forms in optimizations involving PV panels. In response, this study presents a performance-based design optimization workflow leveraging explicit and implicit design generation strategies that incorporate building massing forms and rooftop PV panels to achieve an integrated and adaptive generation of PV-attached building designs. To demonstrate its efficacy, a case study is presented to showcase how the approach can assist designers in identifying building massing forms that are most conducive to maximizing solar energy production. The findings of this study highlight the potential integration of PV panels into the early-stage building design process and its role as a driving factor for performance-based architectural form-finding processes.

Authors

Publication Details

Journal
Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
Published
2025-01-01
DOI
https://doi.org/10.52842/conf.caadria.2025.3.173
Citations
1
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
7.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance-Based Building Design for Solar Energy Production: A rooftop-PV-integrated building design generation and optimization workflow

Changying Xiang, Likai Wang, Lulu Tao, Valentijn Venus
1 citations
Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
Building Energy and Comfort Optimization
7.59
article

Performance-Based Building Design for Solar Energy Production: A rooftop-PV-integrated building design generation and optimization workflow

Changying Xiang, Likai Wang, Lulu Tao, Valentijn Venus
article en
1 citations

Abstract

The application of rooftop Photovoltaic (PV) panels to building design plays a critical role in achieving net-zero and sustainable buildings. In recent studies, computational design optimization has increasingly been utilized to optimize the PV array configuration to enhance the performance and power production of PV panels. However, existing studies often lack consideration of building massing forms in optimizations involving PV panels. In response, this study presents a performance-based design optimization workflow leveraging explicit and implicit design generation strategies that incorporate building massing forms and rooftop PV panels to achieve an integrated and adaptive generation of PV-attached building designs. To demonstrate its efficacy, a case study is presented to showcase how the approach can assist designers in identifying building massing forms that are most conducive to maximizing solar energy production. The findings of this study highlight the potential integration of PV panels into the early-stage building design process and its role as a driving factor for performance-based architectural form-finding processes.

Proceedings of the International Conference on Computer-Aided Architectural Design Research in AsiaVol. 3
Openalex Percentile: Top 4%
Building Energy and Comfort Optimization
7.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.