Validation of lighting parametric workflow tools of Ladybug and Solemma using CIE test cases

Carrasco, María Teresa Aguilar; Díaz-Borrego, Julia; Acosta, Ignacio; Campano, Miguel Ángel; Domínguez-Amarillo, Samuel

doi:10.1016/j.jobe.2022.105608

Cited by 13 publications

(3 citation statements)

References 36 publications

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“…Table 4 shows the calculation parameters used by this programme in this study. This tool, along with its calculation engine Radiance [37], has been previously validated in various studies [38,39], both through the CIE Test Cases [40][41][42][43][44][45] and by comparing it with annual lighting values obtained from monitoring an existing test cell located in Seville, designed for emulating a bedroom [20], [46,47].…”

Section: Selecting the Calculation And Validation Toolmentioning

confidence: 99%

Optimization of Window Design in Hospital Rooms for Effective Access to Daylight

Rodríguez,

Campano,

Domníguez-Amarillo

et al. 2024

E3S Web Conf.

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Proper access to natural light entails a multitude of consequences for human beings, making it a highly significant aspect within the hospital setting. In consequence, it is imperative to undertake an appropriate optimization of windows in architectural design to reduce energy consumption and mitigate environmental impact, while concurrently enhancing the well-being of occupants. The aim of this study is to quantify the relative effectiveness in terms of energy consumption and natural lighting of hospital room windows, analyzing how a set of key design variables –size, proportion, position, and orientation– influence in one of the primary lighting dynamic metrics, Daylight Autonomy (DA). The results indicate that it is recommended to prioritize horizontal window designs over floor-to-ceiling alternatives, allocate a minimum area of 1.20m²to the south (greater on the north side), favor central positioning on the facade, and emphasize a southern orientation for optimal illumination.

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Section: Selecting the Calculation And Validation Toolmentioning

confidence: 99%

Optimization of Window Design in Hospital Rooms for Effective Access to Daylight

Rodríguez,

Campano,

Domníguez-Amarillo

et al. 2024

E3S Web Conf.

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“…Recently, Honeybee and Ladybug plug-ins have been effectively validated in various studies [30,[75][76][77]. So, this research utilized these plug-ins for visual and thermal simulations, with validation of the simulation model conducted in [5].…”

Section: Software Validationmentioning

confidence: 99%

A Multi-objective Optimization of Window and Light Shelf Design in Office Buildings to Improve Occupants’ Thermal and Visual Comfort

Rezaei,

Sangin,

Heiranipour

et al. 2024

Journal of Daylighting

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In office buildings, an efficient design of windows and using light shelves as a passive design strategy significantly influence the thermal and visual comfort of occupants while enhancing the productivity and health of users. This study proposes a multi-objective optimization for the optimal design of windows and light shelves in office buildings to improve occupants' comfort. Initially, a parametric model was developed using Grasshopper parametric software. Afterward, the Honeybee energy and daylight plugin was employed for simulating thermal and visual conditions, and finally, multi-objective optimization was conducted with the Octopus plugin. This plugin can determine the best solution as a compromise decision for maximizing occupants' comfort. In this paper, an office building in Tehran has been chosen as a case study. The decision variables are window-to-wall ratio (WWR), shading control strategy, viewpoint, the transmission of glass, light shelf length, and light shelf height. The objective functions of the study are the annual average Predicted Percentage of Dissatisfied (PPD) and the annual average Discomfort Glare Probability (DGP). According to the results, the proposed optimization model leads to an 18.5–70.1% and 9.3–57.1% reduction in DGP and PPD indexes, respectively. The study findings provide practical and useful instruction for architects to select optimal specifications of windows and light shelves to develop occupants' thermal and visual comfort in office buildings.

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“…Researchers (designers or other decision makers) can run unlimited what-if scenarios to see how different environmental or user-related factors may impact the changes in the downstream signal before interacting with the physical environment. For example, the movement of occupants can be simulated using artificial agents to assess the ease of navigating the space in case of emergencies 21 , the sun’s movement can be simulated using historical sky information 22 , and stochastic models can be used to simulate an occupants interaction with building controls 23 .…”

Section: Introductionmentioning

confidence: 99%

Building performance simulations can inform IoT privacy leaks in buildings

Wang

Campbell

Heydarian

2023

Sci Rep

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As IoT devices become cheaper, smaller, and more ubiquitously deployed, they can reveal more information than their intended design and threaten user privacy. Indoor Environmental Quality (IEQ) sensors previously installed for energy savings and indoor health monitoring have emerged as an avenue to infer sensitive occupant information. For example, light sensors are a known conduit for inspecting room occupancy status with motion-sensitive lights. Light signals can also infer sensitive data such as occupant identity and digital screen information. To limit sensor overreach, we explore the selection of sensor placements as a methodology. Specifically, in this proof-of-concept exploration, we demonstrate the potential of physics-based simulation models to quantify the minimal number of positions necessary to capture sensitive inferences. We show how a single well-placed sensor can be sufficient in specific building contexts to holistically capture its environmental states and how additional well-placed sensors can contribute to more granular inferences. We contribute a device-agnostic and building-adaptive workflow to respectfully capture inferable occupant activity and elaborate on the implications of incorporating building simulations into sensing schemes in the real world.

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Validation of lighting parametric workflow tools of Ladybug and Solemma using CIE test cases

Cited by 13 publications

References 36 publications

Optimization of Window Design in Hospital Rooms for Effective Access to Daylight

Optimization of Window Design in Hospital Rooms for Effective Access to Daylight

A Multi-objective Optimization of Window and Light Shelf Design in Office Buildings to Improve Occupants’ Thermal and Visual Comfort

Building performance simulations can inform IoT privacy leaks in buildings

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