Performance-based parametric design explorations: A method for generating appropriate building components

Ercan, Burak; Elias-Ozkan, Soofia Tahira

doi:10.1016/j.destud.2015.01.001

Cited by 61 publications

(37 citation statements)

References 8 publications

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“…Such tools are becoming increasingly mainstream as little or no programming experience is required to use them. For example, the introduction of the Galapagos Evolutionary Solver for Grasshopper (Rutten, 2013) has increased their popularity in architectural design (Ercan and Elias-Ozkan, 2015).…”

Section: Parametric Design Explorationmentioning

confidence: 99%

Meta-Parametric Design

Harding

Shepherd

2017

Design Studies

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Parametric modelling software often maintains an explicit history of design development in the form of a graph. However, as the graph increases in complexity it quickly becomes inflexible and unsuitable for exploring a wide design space. By contrast, implicit low-level rule systems can offer wide design exploration due to their lack of structure, but often act as black boxes to human observers with only initial conditions and final designs cognisable. In response to these two extremes, the authors propose a new approach called Meta-Parametric Design, combining graph-based parametric modelling with genetic programming. The advantages of this approach are demonstrated using two real case-study projects that widen design exploration whilst maintaining the benefits of a graph representation.

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Section: Parametric Design Explorationmentioning

confidence: 99%

Meta-Parametric Design

Harding

Shepherd

2017

Design Studies

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“…The thirteen works that are referenced in Section 2.4 [25][26][27][28][29][30][31][32][33][34][35][36][37] were identified as those that present an integrated and automated procedure of computational performance-driven design optimization for specific case studies, without the manual exchange of files between different software tools or extensive custom scripting; i.e., those works that utilized parametric modeling as an organizing framework with simulation, optimization, and graphical 3D representation integrated and already available in the same software package. Therefore, works that did not fulfil all of the above criteria (such as generic optimization [38] or parametric studies [39], computational design studies without an automated optimization procedure [14,[40][41][42][43], energy consumption assessment studies, etc.)…”

Section: Review Contents and Methodologymentioning

confidence: 99%

“…Both objectives were used as criteria for a genetic algorithm (using Galapagos) that searched through a series of parameters to establish the general shape of the canopy. Ercan and Elias-Ozkan [33] produced custom design alternatives for shading devices to optimize daylight while blocking out excessive solar heat gains in an office building in Larnaca, Cyprus. They used Grasshopper, Diva, and Galapagos and achieved significantly better performance compared to the initial design.…”

Section: Practical Examples Of Computational Performance-driven Desigmentioning

confidence: 99%

Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review

Touloupaki

Theodosiou

2017

Energies

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During the last decades, standards on building construction have risen sharply to integrate new, ambitious demands regarding energy efficiency, as well as thermal and optical comfort in the design procedure. Building simulation software assists in the accurate calculation of a hypothetical or existing building's performance on several aspects; but they are, in their vast majority, assessment-oriented, rather than focused on dynamically supporting the decision-making procedure. During the last two decades, a clear shift of design professionals and academia towards addressing performance issues from the conceptual stages of a building's design is observed. In this review, the methodology of performance-driven design optimization using computational/parametric design and optimization is presented, and the core literature available on the topic is reviewed in order to identify the current status, different approaches, obstacles, and areas of future research on the subject. The review findings confirm that there is enormous potential for the design of better-performing buildings using this technique, but there are still many obstacles to overcome and areas for future research.

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“…DIVA is a plug-in to connect Rhino/GH with EnergyPlus to perform thermal analysis and Daysim/Radiance, to perform daylight simulation [31]. As pointed by Ercan et al, [32], Galapagos has the limitation of optimizing one objective function at a time. Thus, in the case of multiple objective functions as generally occur with design problems, results must be post-processed.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimisation model: A housing block retrofit in Seville

Camporeale

Mercader-Moyano

Czajkowski

2017

Energy and Buildings

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Performance-driven optimization has shown its potential to integrate design and energy performance, since building shape and envelope are determinant to the energy demand. Even though new buildings should be nearly zero energy buildings by 2020, according to European Directive 2010/31 recast, they only represent a minority of the building stock. Building retrofit has demonstrated a great potential to reduce energy consumption, and at the same time, CO 2 emissions. The scope of this work is to present and test a design methodology to enable architects and decision makers to couple building shape and envelope with energy and financial performance in a multi-objective optimization method. Our multi-objective optimization model is adaptable for both conceptual design and building retrofit, and presents effective application to assist design decisions in a seamless workflow. In this case study, we have applied the model to a housing block retrofit in Seville. We have designed indexes to optimise building envelope, considering mild climates issues. Then, we have simulated heating and cooling demand of the optimal solutions and calculated Net Present Value (NPV) to obtain their financial feasibility. The results have shown the robustness and validity of the framework.

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Performance-based parametric design explorations: A method for generating appropriate building components

Cited by 61 publications

References 8 publications

Meta-Parametric Design

Meta-Parametric Design

Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review

Multi-objective optimisation model: A housing block retrofit in Seville

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