An evolutionary approach for 3D architectural space layout design exploration

Building and Environment

et al. 2019

This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes different sub-categories of performative computational architecture, such as sustainability, cost, functionality, and structure. Specifically, energy, daylight, solar radiation, environmental impact, thermal comfort, life-cycle cost, initial and global costs, energy use cost, space allocation, logistics, structural assessment, and holistic design approaches, are investigated by considering their corresponding performance aspects. The main findings, including optimisation and all the types of parameters, are presented by focussing on different aspects of buildings. In addition, usage of form-finding parameters of all reviewed studies and the distributions for each performance objectives are also presented. Moreover, usage of swarm and evolutionary optimisation algorithms in reviewed studies is summarised. Trends in publications, published years, problem scales, and building functions, are examined. Finally, future prospects are highlighted by focussing on different aspects of performative computational architecture in accordance to the evidence collected based on the review process.

Section: Logisticsmentioning

confidence: 99%

Performative computational architecture using swarm and evolutionary optimisation: A review

Ekici

Cubukcuoglu

Building and Environment

et al. 2019

“…There are mainly two methodologies used in these reviewed 10 studies. In the studies of [9,21,[23][24][25][26], the process of G-EPO is clearly separated into G-O and EPO phases, as shown in Fig. 3.…”

Section: Methodology Of G-epomentioning

confidence: 96%

“…The studies of [21][22][23]26,29,30] developed the building into multifloors, while the other studies [10,27,28,31] limited the building to one floor. The studies of [21,[24][25][26][27][29][30][31] did not need to predefine a layout boundary, while it was necessary for the others.…”

Section: Generated Layouts and Layout Representation Methodsmentioning

confidence: 99%

Gaps and requirements for automatic generation of space layouts with optimised energy performance

Automation in Construction

Jansen

et al. 2020

Due to the critical need for reducing carbon emissions, the demand for energy-efficient building design is urgent. Studies have shown that space layouts affect energy performance considerably. Energy performance optimisation is able to improve energy performance significantly. However, in order to apply energy performance optimisation to space layouts (EPO), abundant layout alternatives are needed. With the development of computational methods, automatic generation of space layouts (GSL) helps to generate abundant layouts quickly. Therefore, combining GSL with EPO is expected to be greatly helpful for energy-efficient design. This paper investigates 10 relevant studies combining GSL and EPO and analyses their gaps. Furtherly, we extend the analysis to the research on GSL and EPO. 7 GSL methods are categorised and evaluated based on 66 studies, and the requirements for the combination with optimisation are inspected. Regarding EPO, the requirements for energy performance assessment and optimisation are analysed.

“…In order to analyse the isolated effects of space layouts, the design variables influencing energy balance are classified, regarding their relationships with space layouts, as shown in Table 3. Firstly, the design variables belonging to space layouts include function allocation, space dimension, space form, interior partition and interior opening [33,42,68,73]. Secondly, if space layouts are designed within a non-fixed layout boundary, the boundary dimension, form and orientation can also be changed consequently [69,74].…”

Section: Design Variablesmentioning

confidence: 99%

Effects of Architectural Space Layouts on Energy Performance: A Review

Jansen

et al. 2020

Sustainability

As one of the most important design tasks of building design, space layout design affects the building energy performance (BEP). In order to investigate the effect, a literature review of relevant papers was performed. Ten relevant articles were found and reviewed in detail. First, a methodology for studying the effects of space layouts on BEP were proposed regarding design variables, energy indicators and BEP calculation methods, and the methodologies used in the 10 articles were reviewed. Then, the effects of space layouts on energy use and occupant comfort were analysed separately. The results show that the energy use for heating, cooling, lighting and ventilation is highly affected by space layouts, as well as thermal and visual comfort. The effects of space layouts on energy use are higher than on occupant comfort. By changing space layouts, the resulting reductions in the annual final energy for heating and cooling demands were up to 14% and 57%, respectively, in an office building in Sweden. The resulting reductions in the lighting demand of peak summer and winter were up to 67% and 43%, respectively, for the case of an office building in the UK, and the resulting reduction in the air volume supplied by natural ventilation was 65%. The influence of other design parameters, i.e., occupancy and window to wall ratio, on the effects of space layouts on BEP was also identified.Sustainability 2020, 12, 1829 2 of 23 sufficient daylight and natural ventilation within a building, the building is expected to require less energy demand in total.Although architectural space layout is expected to highly affect BEP, it is rarely included in the studies on energy-efficient building design. Numerous studies exist on energy-efficient design, and most of them focus on geometry [11,14], envelope [15,16], façade [17,18], material [19,20], atrium [21,22] and shading systems [23,24]. On the other hand, researchers have been working on space layout design for decades [25,26]; however, they mainly focused on other design objectives rather than energy performance. These objectives include safety [27,28], logistics [29,30], efficiency [31,32], finance cost [33,34], occupant health and performance [35,36], view connection [37,38] and acoustics [39,40]. These two research domains, space layout design and energy-efficient building design, are shown in Figure 1. The overlapping area of the two domains, i.e., energy-efficient space layout design, is the focus of this paper. This paper aims at the effects on BEP caused by changing space layouts, without considering the possible influence on the indirect cost of the building, such as space usability and workability.