首页|Evolving multi-objective optimization framework for early-stage building design:Improving energy efficiency,daylighting,view quality,and thermal comfort

Evolving multi-objective optimization framework for early-stage building design:Improving energy efficiency,daylighting,view quality,and thermal comfort

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Computational performance-driven design optimization(CPDDO)informs early building design decisions,enhancing projects'responsiveness to local climates.This paper reviews recent CPDDO studies,identifies prevalent gaps,and proposes a refined optimization framework.The framework stands out by:(1)integrating view quality alongside energy,daylight,and thermal comfort considerations,with a vector-simulation-based metric considering content,access and clarity;(2)incorporating users'adaptive behavior patterns in simulations;and(3)employing a hybrid weighting method to accommodate diverse project demands and support robust design decisions.This study applies the framework to optimize the shape and facade variables of a medium-sized office building in Guangzhou,Chongqing,Qingdao,Lanzhou,and Changchun,representing hot,warm,mixed,cool,and cold climates,respectively.Results highlight that geometry features(aspect ratio,orientation,window-to-wall ratio(WWR),and shading devices),as well as window and blinds constructions significantly impact energy,daylight,thermal comfort and view quality.Different climatic conditions,objective priorities,and facade orientations necessitate tailored design variables.Furthermore,certain findings challenge conventional recommendations;for instance,buildings in colder climates benefit from increased WWR,due to enhanced potential to harness solar radiation and improved view access,while high-performance envelope thermal settings mitigate heat transfer.These findings underscore the need for detailed,targeted research in early-stage design.The developed CPDDO framework proves effective and user-friendly,offering new possibilities for optimizing building performance,thus holds the potential to foster green,comfortable,and sustainable architecture in various practical applications.

multi-objective optimizationbuilding performance simulationwindow view qualityoccupants'adaptive behaviorhybrid weighting method

Lingrui Li、Zongxin Qi、Qingsong Ma、Weijun Gao、Xindong Wei

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College of Architecture and Urban Planning,Qingdao University of Technology,Qingdao 266033,China

iSMART,Qingdao University of Technology,Qingdao 266033,China

Department of Architecture,The University of Kitakyushu,Kitakyushu 808-0135,Japan

School of Environmental and Municipal Engineering,Jilin Jianzhu University,Changchun 130118,China

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2024

建筑模拟(英文版)

建筑模拟(英文版)

EI
ISSN:1996-3599
年,卷(期):2024.17(11)