A Methodology of Interactive Motion Facades Design through Parametric Strategies

Panya, David Stephen; Kim, Tae-Hoon; Choo, Seungyeon

doi:10.3390/app10041218

Cited by 20 publications

(7 citation statements)

References 10 publications

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“…For Bui et al (2020) and Loonen (2018), responsiveness means changing properties over time to decrease energy consumption. Other terms are adaptive (Lee;Cho;Jo, 2021), interactive (Panya;Choo, 2020), and interchangeable.…”

Section: Responsive Typologymentioning

confidence: 99%

Climate-active building enclosures

Lucarelli,

Oliveira,

Carlo

2023

PARC Pesq. em Arquit. e Constr.

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The building energy demand and anthropogenic greenhouse gas emissions have risen since the preindustrial period, reaching the highest levels. Brazil is the eighth largest consumer of primary energy globally, with buildings accounting for 51.2% of the total electric energy consumption. In this sense, the building enclosure has substantial potential and the lowest cost for reducing energy expenditure. The dynamicity of environmental factors allows for many design approaches, and since the user comfort analysis evolved, time-varying building skin configurations emerged. When coupled with computational design, the building's skins no longer must compromise to one stationary condition that is never optimal to any particular condition. These climate-active envelopes need a seemingly conveyed characterization or a straightforward design process as a relatively new technique. We aimed to differentiate climate-active building typologies and gather the latest compositions and performance assessment metrics, rendering an integrative literature review, state-of-the-art, and bibliometric analysis. As the main results, we assembled tabular data on 100 research pieces considering various study methodologies, climate-active typologies, movement categories, actuation styles, simulation engines, and performance criteria, demonstrating that most studies evaluated facade typologies, concerned temperate climates and adopted simple, binary movement characterizations. Furthermore, the design process for active building enclosures needs to be clearer and well-structured, and the available computational tools still need improvement.

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Section: Responsive Typologymentioning

confidence: 99%

Climate-active building enclosures

Lucarelli,

Oliveira,

Carlo

2023

PARC Pesq. em Arquit. e Constr.

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“…Therefore, inaccurate results might be obtained when assessing their performance and applicability in the long term (Tabadkani et al 2020c). Since the development of AF by many researchers has increased significantly in recent years (Elzeyadi 2017;Hosseini et al 2019b;Böke et al 2020;Bui et al 2020;Panya et al 2020;Shi et al 2020), it is essential to find an alternative approach that requires less computation knowledge and that is less time consuming to predict their performance efficiently during the early design stages.…”

Section: Adaptive Façade Overviewmentioning

confidence: 99%

Predicting Cooling Energy Demands of Adaptive Facades Using Artificial Neural Network

Alammar

Jabi

2022

2022 Annual Modeling and Simulation Conference (ANNSIM)

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Adaptive Façades (AFs) have proven to be effective as a building envelope that can enhance energy efficiency and thermal comfort. However, evaluating the performance of these AFs using the current building performance simulation (BPS) tools is complex, time-consuming, and computationally intensive. These limitations can be overcome by using a machine learning (ML) model as a method to assess the AF system efficiently during the early design stage. This study presents an alternative approach using an Artificial Neural Network (ANN) model that can predict the hourly cooling loads of AF in significantly less time compared to BPS. To construct the model, a generative parametric simulation of office tower spaces with an AF shading system were simulated in terms of energy consumption using Honeybee add-on in Grasshopper which are linked to EnergyPlus for training the ANN model. The prediction results showed a highly accurate model that can estimate cooling loads within seconds.

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“…Software such as Revit/Dynamo and Rhinoceros/Grasshopper provide great potential for kinetic façade design when used with building performance simulation methods [3]. Panya et al [24] summarized some parametric design tools used in the field of architecture. The literature review identified several studies on kinetic façade design with the application of parametric design tools and energy efficiency and daylighting evaluations.…”

Section: Evaluation and Comparison Of Decision Support Toolsmentioning

confidence: 99%

Sustainability-Related Parameters and Decision Support Tools for Kinetic Green Façades

2021

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Constant challenges, environmental threats, and rapid changes of living conditions on the earth make it necessary to seriously take up the topic of resilience and sustainability. The interdisciplinary and holistic approach is more important than ever before, and engineering science is required to adapt to global conditions. This article presents the results of research aimed at the identification of sustainability-related parameters for kinetic green façades in the preliminary design phase and evaluation of current decision support tools. The authors carried out the comparative analysis of existing decision support methods and tools for sustainable development, used in fields and disciplines such as architectural design, environmental engineering, and structural design. The particular focus of the research was on the preliminary concept design of kinetic green façades. Specific methods such as forecasting and backcasting linked to post-occupancy evaluation tools were also taken into account. Parametric modeling based on optimization algorithms was recognized as the most adequate method. As a result of the conducted research, the steps to be taken at the early design stage for sustainable façade design were identified based on the example of the innovative system of kinetic green façade. The first step is to determine the design criteria of the façade considering the factors related to climate, culture, environment, and special design requirements. In the next step, the design parameters of the façade system are defined depending on the aforementioned criteria. In the third step, system design and modeling are done. Finally, the performance of the façade system is evaluated. If the desired performance is not achieved, the designer returns to the 2nd and 3rd steps. These last three steps of the preliminary design stage of sustainable façade systems are critical since they allow us for the façade design optimization, which in turn has a significant influence on the whole building performance and sustainability parameters.

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A Methodology of Interactive Motion Facades Design through Parametric Strategies

Cited by 20 publications

References 10 publications

Climate-active building enclosures

Climate-active building enclosures

Predicting Cooling Energy Demands of Adaptive Facades Using Artificial Neural Network

Sustainability-Related Parameters and Decision Support Tools for Kinetic Green Façades

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