The problem of space layout in architecture: A survey and reflections

Lobos, Danny; Donath, Dirk

doi:10.4013/arq.2010.62.05

Cited by 54 publications

(41 citation statements)

References 12 publications

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“…In order for EnergyPlus simulations to be accurate, however, complex footprints will require floor plan definitions. Automated floor plan design is a significantly complex problem [16,12].…”

Section: Discussionmentioning

confidence: 99%

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Passive solar building design using genetic programming

Gholami

Ross

2014

Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation

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Passive solar building design considers the effect that sunlight has on energy usage. The goal is to reduce the need for artificial cooling and heating devices, thereby saving energy costs. A number of competing design objectives can arise. Window heat gain during winter requires large windows. These same windows, however, reduce energy efficiency during nights and summers. Other model requirements add further complications, which creates a challenging optimization problem. We use genetic programming for passive solar building design. The EnergyPlus system is used to evaluate energy consumption. It considers factors ranging from model construction (shape, windows, materials) to location particulars (latitude/longitude, weather, time of day/year). We use a strongly typed design language to build 3D models, and multi-objective fitness to evaluate the multiple design objectives. Experimental results showed that balancing window heat gain and total energy use is challenging, although our multi-objective strategy could find interesting compromises. Many factors (roof shape, material selection) were consistently optimized by evolution. We also found that geographic aspects of the location play a critical role in the final building design.

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Section: Discussionmentioning

confidence: 99%

“…Genetic algorithms have been used to design external shapes [25,24,6], internal floor plans [16,12], and structurally sound forms [28].…”

Section: Introductionmentioning

confidence: 99%

Passive solar building design using genetic programming

Gholami

Ross

2014

Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation

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“…Architectural design problems are generally complex and often involve multiple design objectives. Besides energy efficiency, other design objectives architects might consider throughout the comprehensive architectural design process include aesthetic, structural, functional, social, historical, behavioral, and so on (Lobos & Donath, 2010). Thus, architectural design can be seen as a multiple-objective optimization process, aiming to find optimal solutions for multiple objectives that often conflict with one another (Radford & Gero, 1987).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

A fast genetic algorithm for solving architectural design optimization problems

Yan

2015

AIEDAM

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Building performance simulation and genetic algorithms are powerful techniques for helping designers make better design decisions in architectural design optimization. However, they are very time consuming and require a significant amount of computing power. More time is needed when two techniques work together. This has become the primary impediment in applying design optimization to real-world projects. This study focuses on reducing the computing time in genetic algorithms when building simulation techniques are involved. In this study, we combine two techniques (offline simulation and divide and conquer) to effectively improve the run time in these architectural design optimization problems, utilizing architecture-specific domain knowledge. The improved methods are evaluated with a case study of a nursing unit design to minimize the nurses’ travel distance and maximize daylighting performance in patient rooms. Results show the computing time can be saved significantly during the simulation and optimization process.

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“…Architectural design highly affects the building energy performance (BEP), and energy-efficient design is therefore often studied [1]. Space layout design is one of the most important tasks in architectural design, taking place around the stages of 'scheme design' and 'design development' in the early design phase [2,3]. In this paper, the architectural space layout is defined as the allocation of different spaces, and it is decided based on the placement of interior partitions as well as exterior walls.…”

Section: Introductionmentioning

confidence: 99%

Effects of Architectural Space Layouts on Energy Performance: A Review

Jansen

Turrin

et al. 2020

Sustainability

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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.

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The problem of space layout in architecture: A survey and reflections

Cited by 54 publications

References 12 publications

Passive solar building design using genetic programming

Passive solar building design using genetic programming

A fast genetic algorithm for solving architectural design optimization problems

Effects of Architectural Space Layouts on Energy Performance: A Review

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