Journal: Building Simulation Conference Proceedings

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Publisher

IBPSA

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ISSN

2522-2708

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2023 - 20255
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Publications1 - 5 of 5
  • Challenges in modelling thermo-optical performance of 3D-printed facades: a cross-domain review
    Item type: Conference Paper
    Piccioni, Valeria; Leschok, Matthias; Borkowski, Esther; et al. (2023)
    Building Simulation Conference Proceedings ~ Proceedings of Building Simulation 2023: 18th Conference of IBPSA
    Thanks to large-scale 3D printing, it is possible to fabricate performance-integrated building facades, contributing to the building sector's decarbonisation. The assessment of thermo-optical performance in 3D-printed facades (3DPF) is still at an early stage. The main challenges are related to the specificity of such components: the geometrical complexity, the interaction of multiple physical effects and the influence of the fabrication process on their properties. This focused review examines the aspects of performance indicators, multiphysics and multiscale modelling by reviewing recent efforts in the fields of advanced facades and process engineering. Learnings from the reviewed studies guided the development of a novel approach for modelling the thermo-optical properties of polymer 3DPF and informing their design.
  • Thermal and uncertainty analysis of a lightweight floor with integrated TABS and ventilation system
    Item type: Conference Paper
    Borkowski, Esther; Lydon, Gearóid; Schlueter, Arno (2023)
    Building Simulation Conference Proceedings ~ Proceedings of Building Simulation 2023: 18th Conference of IBPSA
    The HiLo living lab combines numerous novel multifunctional building elements, including a floor system that integrates TABS and ventilation system into complex geometry and lightweight structural components. The purpose of this study is to investigate the operational performance of the floor system and to compare it with the performance predicted by a white-box model in TRNSYS. Although the model can accurately and reliably predict the actual performance of the floor system with a median CV-RMSE index of 3.35%, the limited variability in the data and the unique conditions of the living lab may limit the generalisability of the model.
  • A parametric approach to evaluate the impact of BIPV façades on outdoor thermal comfort in different urban contexts
    Item type: Conference Paper
    Duran, Ayça; Waibel, Christoph; Schlueter, Arno (2023)
    Building Simulation Conference Proceedings ~ Proceedings of Building Simulation 2023: 18th Conference of IBPSA
    While the promotion of Building Integrated Photovoltaics (BIPV) as a key strategy for the energy transition is widely accepted, the consequences of a large-scale BIPV deployment on the urban microclimate are not yet fully understood. Furthermore, the few existing studies addressing this issue do not lead to a consistent conclusion. This study, therefore, aims to investigate how different levels of BIPV deployment on building façades affect outdoor thermal comfort (OTC) for pedestrians in urban areas during the warmest day of the year using a parametric approach based on simulations. Computational Fluid Dynamics (CFD) simulations were conducted using Envi-met for 80 urban configurations in two climatic zones. The results indicate that the impact of BIPV on urban air temperatures can vary throughout the day, with temperature differences ranging from -0.21 to +0.46 °C for Zurich and -0.23 to +0.42 °C for Singapore, compared to scenarios without BIPV at pedestrian level in front of building façades. Among the studied parameters, ground surface material and street width were found to be the most influential, with an average increase of 1.76 and 0.37 °C in air temperature at 12 pm, respectively.
  • Data-driven reduced order modelling using clusters of thermal dynamics
    Item type: Conference Paper
    Silvestri, Alberto; Lydon, Gearóid; Waibel, Christoph; et al. (2023)
    Building Simulation Conference Proceedings ~ Proceedings of Building Simulation 2023: 18th Conference of IBPSA
    Physics-based white-box models are employed for estimating building loads and for sizing energy systems at a high level of accuracy. However, these models can become computationally demanding, or might require high technical expertise to be constructed. Therefore, they can become unsuitable for advanced control applications, such as in a model predictive controller (MPC) or for online training of reinforcement learning agents, where simulation speed is crucial. Alternatively, grey-box and black-box models can be employed that require less computational effort while achieving sufficient performance in predicting relevant control signals. Even though black-box models can theoretically represent any dynamical system by implicit inclusion of epistemic unknowns, they lack physical interpretability and require an extensive data set to converge to a suitable model. This work describes the formulation of an ensemble of grey-box models derived from the output of a white-box model from the design phase of a real building. Thus, it presents a novel method to select representative models able to describe the most distinct load curves. As a result, we can reduce the model complexity while maintaining comparable performance at a significantly lower computational cost suitable for control applications.
  • Surrogate Modeling of Heat Transfer in 3D-Printed Facades with Active Learning
    Item type: Conference Paper
    Zorzetto, Gustavo; Piccioni, Valeria; Waibel, Christoph; et al. (2025)
    Building Simulation Conference Proceedings ~ Proceedings of Building Simulation 2025: 19th Conference of IBPSA
    Current methods used to estimate the thermal performance of 3D printed facades (3DPF) rely on time-consuming experiments and complex simulations. To address this gap, we developed a Gaussian Process (GP) surrogate model trained on data generated from an automated simulation framework, validated against experiments. Active learning enabled efficient sampling, achieving R² = 0.95 with only 60 samples. Our results show that area-volume-ratio, solid thermal conductive, layer thickness, porosity, and cavity depth are key parameters, while lateral cavity dimensions have negligible impact. This approach accelerates evaluations and facilitates a more comprehensive exploration of the design space for the product development of 3DPF.
Publications1 - 5 of 5