A daylight-oriented multi-objective optimisation of complex fenestration systems

Mashaly, Islam A.; Hansen, Veronica Garcia; Cholette, Michael E.; Isoardi, Gillian

doi:10.1016/j.buildenv.2021.107828

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…One of its distinct advantages is its seamless integration into the Grasshopper environment, allowing architects working within their familiar 3D modeling tools. Octopus has demonstrated its effectiveness in addressing multi-objective BFO challenges in recent years [30,52,56,57,59], particularly in the context of comprehensive building envelope design [64,69]. This plugin has facilitated the optimization of complex building facade designs by leveraging its integration with the Grasshopper interface and supporting various evolutionary algorithms.…”

mentioning

confidence: 99%

“…In architectural design practice, user-friendly interfaces or plugins for optimization tools have been developed to facilitate seamless integration with building performance simulation plugins and multi-objective optimization tools [30,57,[129][130][131], especially for parametric building facade and complex fenestration system design [69,90,91]. However, more work is needed to increase flexibility.…”

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confidence: 99%

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Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review

Shan,

Junghans

2023

Sustainability

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Building facade design plays an essential role in enhancing energy efficiency and reducing environmental impact in high-performance building design. Balancing the conflicts among various building facade design variables to satisfy different optimization objectives constitutes a highly complex optimization problem. The rapidly increasing number of studies demonstrates a significant interest in implementing multi-objective optimization methods to tackle building facade optimization problems. This study conducts a systematic review of optimization methods for building facade optimization (BFO). The optimization objectives and design variables are categorized based on their characteristics. The efficiency and effectiveness of optimization algorithms in addressing BFO problems are compared. Building optimization techniques and tools are showcased, along with their functions and limitations. Key findings highlight the robust feasibility and effectiveness of optimization algorithms, methods, and techniques in resolving a diverse range of BFO challenges. The limitations, challenges, and future potential of these methods are summarized and proposed.

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confidence: 99%

mentioning

confidence: 99%

Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review

Shan,

Junghans

2023

Sustainability

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show abstract

“…One of its distinct advantages is its seamless integration into the Grasshopper environment, allowing architects to work within their familiar 3D modeling tools. Octopus has demonstrated its effectiveness in addressing multi-objective BFO challenges in recent years [43,44,48,49,53], particularly in the context of comprehensive building envelope design [59,64]. This plugin has facilitated the optimization of complex building facade designs by leveraging its integration with the Grasshopper interface and supporting various evolutionary algorithms.…”

mentioning

confidence: 99%

“…In architectural design practice, user-friendly interfaces or plugins for optimization tools have been developed to facilitate seamless integration with building performance simulation plugins and multi-objective optimization tools [44,49,[149][150][151], especially for parametric building facade and complex fenestration system design [64,152,153]. However, more work is needed to increase flexibility.…”

mentioning

confidence: 99%

Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review

Shan

2023

Preprint

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Building facade design plays an essential role in enhancing energy efficiency and reducing environmental impact in high-performance building design. Balancing the conflicts among various building facade design parameters to satisfy different optimization objectives constitutes a highly complex optimization problem. The rapidly increasing number of studies demonstrates a significant interest in implementing multi-objective optimization methods to tackle building facade optimization problems. This study conducts a systematic review of optimization methods for building facade optimization (BFO). The optimization objectives and design variables are categorized based on their characteristics. The efficiency and effectiveness of optimization algorithms in addressing BFO problems are compared. Building optimization techniques and tools are showcased, along with their functions and limitations. Key findings highlight the robust feasibility and effectiveness of optimization algorithms, methods, and techniques in resolving a diverse range of BFO challenges. The limitations, challenges, and future potential of these methods are summarized and proposed.

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Design Optimisation of Fenestration and Orientation for Daylighting and Energy Performance in Ghana Using Genetic Algorithm

Addy,

Amos-Abanyie,

Tetteh

et al. 2024

Sustainable and Resilient Infrastructure Development in Africa's Changing Climate

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A daylight-oriented multi-objective optimisation of complex fenestration systems

Cited by 9 publications

References 18 publications

Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review

Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review

Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review

Design Optimisation of Fenestration and Orientation for Daylighting and Energy Performance in Ghana Using Genetic Algorithm

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