Plausibility in early stages of architectural design: A new tool for high-rise residential buildings

Donath, Dirk; Lobos, Danny

doi:10.1016/s1007-0214(09)70048-3

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…Ginevičius et al (2008) applied six multiple criteria methods (SAW, TOPSIS, VIKOR, GV, VS, CO-PRAS) for selection of building insulation solutions. Donath and Lobos (2009) created a new decision support system tool based on the building information modelling (BIM) software platform. This tool generates several options for building envelopes according to the required parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of the Insulation Materials for Refurbishment Purposes

Lill

Kanapeckienė

Tupėnaitė

et al. 2017

Engineering Structures and Technologies

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Refurbishment of the building facades of residential buildings, including insulation, is often considered as the most energy efficient renovation measure with the largest potential. One of the solutions to increase energy efficiency is the selection of the appropriate insulation materials of the external walls. The article proposes the approach for selection of the insulation material based on SAW multiple criteria assessment method. The proposed methodology is applied for the case of insulation material selection in refurbishment of 12-storey building in Vilnius, Lithuania. Research reveals that rock wool outperforms other materials by thermal conductivity, light weigh, water vapour diffusion resistance, highest flammability class, durability and lowest emission of CO2 and is an efficient insulation to be used for sustainable refurbishment solutions.

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Section: Literature Reviewmentioning

confidence: 99%

Selection of the Insulation Materials for Refurbishment Purposes

Lill

Kanapeckienė

Tupėnaitė

et al. 2017

Engineering Structures and Technologies

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“…The following examples can be seen as moving in this direction. Donath and González, as well as Donath and Lobos proposed a constraint-based design approach to identify possible building masses [11,12,13].Through constraint satisfaction, a theoretical building-volume describes a search space to find solutions. Generated alternatives then remain for designer's consideration.…”

Section: Building-volume Designmentioning

confidence: 99%

Building-Volume Designs with Optimal Life-Cycle Costs

Schoch

Prakasvudhisarn

Praditsmanont

2011

International Journal of Architectural Computing

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This report provides a detailed overview of the building-volume optimization (BVO) model. It allows for insights into elements that comprise the BVO model, describes its setup as an optimization tool for design and tests its possibilities through exemplary runs. It includes the description of all life-cycle cost (LCC) members involved and explains the implemented optimization process approach. It also provides a perspective regarding the sensitivity and consequences of the BVO model. Serving as decision-support for designers the model qualifies as a practice-oriented application during the early design stage. Test results indicate that LCC considerations can significantly affect building-volume designs during this stage.Therefore, the introduction of cost objectives to the building-volume design represents a valuable approach. Enabling for their inclusion, design issues referring to estimated building performances, are capable of improvement before design finalization. Especially comparisons between initial and operational costs imply that, with increasing life-cycle periods, the impact of operational costs on shaping building-volume design is continuously growing.

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“…Further the difficulty lies in the enumeration of space relationships and the subjective nature of their dependencies. Need for employing tools at the early stage of design for space planning has been advocated by several researchers (Demirkan 1998;Aliakseyeu et al 2006;Caldas 2006;Lomas 2007;Donath and Lobos 2009) not only from a space usage point of view but energy efficiency (Shaviv et al 1996) too has been a matter of active concern.…”

Section: Introductionmentioning

confidence: 99%

Architectural space planning using evolutionary computing approaches: a review

Dutta

Sarthak

2011

Artif Intell Rev

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This paper presents various applications of evolutionary computing approach for architectural space planning problem. As such the problem of architectural space planning is NP-complete. Finding an optimal solution within a reasonable amount of time for these problems is impossible. However for architectural space planning problem we may not be even looking for an optimal but some feasible solution based on varied parameters. Many different computing approaches for space planning like procedural algorithms, heuristic search based methods, genetic algorithms, fuzzy logic, and artificial neural networks etc. have been developed and are being employed. In recent years evolutionary computation approaches have been applied to a wide variety of applications as it has the advantage of giving reasonably acceptable solution in a reasonable amount of time. There are also hybrid systems such as neural network and fuzzy logic which incorporates the features of evolutionary computing paradigm. The present paper aims to compare the various aspects and merits/demerits of each of these methods developed so far. Sixteen papers have been reviewed and compared on various parameters such as input features, output produced, set of constraints, scope of space coverage-single floor, multi-floor and urban spaces. Recent publications emphasized on energy aspect as well. The paper will help the better understanding of the Evolutionary computing perspective of solving architectural space planning problem. The findings of this paper provide useful insight into current developments and are beneficial for those who look for automating architectural space planning task within given design constraints.

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Plausibility in early stages of architectural design: A new tool for high-rise residential buildings

Cited by 7 publications

References 1 publication

Selection of the Insulation Materials for Refurbishment Purposes

Selection of the Insulation Materials for Refurbishment Purposes

Building-Volume Designs with Optimal Life-Cycle Costs

Architectural space planning using evolutionary computing approaches: a review

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