The optimization of louvers shading devices and room orientation under three different sky conditions

Khidmat, Rendy Perdana; Fukuda, Hiroatsu; Paramita, Beta; Koerniawan, Mochamad Donny; Kustiani, Kustiani

doi:10.15627/jd.2022.11

Cited by 14 publications

(5 citation statements)

References 33 publications

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“…In this respect, this package is a common solution preferred in daylighting studies [45][46][47]. To organise the research flow according to the EN 17037 standard, a parametric methodology was generated for the calculations using Rhino/Grasshopper and Ladybug/Honeybee.…”

Section: The Study Areamentioning

confidence: 99%

Assessment of the discrepancy between daylight factor and using illuminance data methods by climate zones under EN:17037

Konuk Taştan,

İplik,

Yağmur

et al. 2024

ACAE

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Conducting a rigorous evaluation of the daylight performance of buildings is essential for human health and energy efficiency. Today, there are two main methods used for analysis: the daylight factor, which has been used since the early 1900s, and the newer approach known as climate-based modelling. Both methods are employed in the EN 17037 Daylight in Buildings’ standard. Utilizing different calculation methods causes discrepancies in daylight provision performance analyses of a room. However, there is no definition or limitation for this subject in the standard. As a result, researchers prefer different calculation methods for the same location in daylighting analyses without a clear justification. Additionally, there is a lack of parametric methods that follow the guidelines of the standard. This study aims to analyse the impact of calculation methods on daylighting analyses according to different regions and generate parametric methods in compliance with the standard. In this respect, comparison calculations are conducted for a theoretical room situated in all 81 provinces of Turkey, where variant climate types occur over a year. Furthermore, parametric workflows are generated using Rhinoceros/Grasshopper following the directives of the standard. The findings indicate that the method choice affects the illumination levels in all zones, ranging from 15 to 114 %.

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Section: The Study Areamentioning

confidence: 99%

Assessment of the discrepancy between daylight factor and using illuminance data methods by climate zones under EN:17037

Konuk Taştan,

İplik,

Yağmur

et al. 2024

ACAE

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“…In contrast, the building industry has identified lighting as the primary consumer of electricity compared to all other end uses [64]. Due to the large volume of electricity consumed and the inefficient conversion process from resources to the building site, lighting is the largest contributor to carbon emissions (amounting to 554 million metric tons of CO₂) and other environmental consequences in the construction sector.…”

Section: Studymentioning

confidence: 99%

Calculating the optimum window-to-wall ratio according to daylight factor and thermal performance in Mediterranean climate

Lotfabadi

2023

International Journal of Energy Studies

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Energy is a significant part of socio-economic development of modern societies. By increasing fossil fuel consumption as almost the main source of energy throughout the world, it is essential to search for more sustainable alternatives or a method to decrease this huge amount of usage. On the other hand, the building industry is known as one of the biggest energy consumers. Among building energy efficiency measures, openings are playing a key role in declining energy consumption, especially in hot summers of Cyprus. Therefore, this study carries out a field measurement of various opening sizes in the case study in order to make a satisfactory situation both from energy efficiency and visual comfort considerations. Meanwhile, a studio in a faculty of architecture, Famagusta, North Cyprus, has been selected as an experimental examination to show the effectiveness of the method. In order to analyze its energy performance, the calculation simplified method is chosen. Outcomes are intended to illustrate the benefits of the calculation method and to authorize opening size comparisons to display the differences in energy conservation measures inherent in the various compliance methods allowable by the regulations. Finally, the results obviously display that by decreasing the window to wall ratio, the heat loss significantly reduces. But, by considering the daylight factor (DF) in the standard defined range and applying 750lux as an essential lighting requirement for the studio, finding the minimum WWR seems more meaningful. Therefore, according to the mentioned criteria in this special case an optimum amount of WWR can be considered in the range of 10 to 20%, which gives architects some flexibility to apply in their designs.

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“…Additionally, innovative materials such as ceramic louvers and customized designs have been investigated for their potential to enhance Usable Daylight Illuminance (UDI) and reduce energy consumption. Furthermore, studies on the implementation of kinetic shading systems have been conducted to improve interior daylight efficiency, visual comfort, and overall energy consumption [38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the View Percentage, Daylight Autonomy, Sunlight Exposure, and Energy Use: Data-Driven-Based Approach for Maximum Space Utilization in Residential Building Stock in Hot Climates

Kamel,

Khalil,

Lakousha

et al. 2024

Energies

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This paper introduces a comprehensive methodology for creating diverse layout generation configurations, aiming to address limitations in existing building optimization studies that rely on simplistic hypothetical buildings. This study’s objective was to achieve an optimal balance between minimizing the energy use intensity (EUI) in kWh/m2, maximizing the views percentages to the outdoor (VPO), achieving spatial daylight autonomy (sDA), and minimizing annual sunlight exposure (ASE). To ensure the accuracy and reliability of the simulation, the research included calibration and validation processes using the Ladybug and Honeybee plugins, integrated into the Grasshopper platform. These processes involved comparing the model’s performance against an existing real-world case. Through more than 1500 iterations, the study extracted three multi-regression equations that enabled the calculation of EUI in kWh/m2. These equations demonstrated the significant influence of the window-to-wall ratio (WWR) and space proportions (SP) on the EUI. By utilizing these multi-regression equations, we were able to fine-tune the design process, pinpoint the optimal configurations, and make informed decisions to minimize energy consumption and enhance the sustainability of residential buildings in hot arid climates. The findings indicated that 61% of the variability in energy consumption can be attributed to changes in the WWR, as highlighted in the first equation. Meanwhile, the second equation suggested that around 27% of the variability in energy consumption can be explained by alterations in space proportions, indicating a moderate correlation. Lastly, the third equation indicated that approximately 89% of the variability in energy consumption was associated with changes in the SP and WWR, pointing to a strong correlation between SP, WWR, and energy consumption. The proposed method is flexible to include new objectives and variables in future applications.

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The optimization of louvers shading devices and room orientation under three different sky conditions

Cited by 14 publications

References 33 publications

Assessment of the discrepancy between daylight factor and using illuminance data methods by climate zones under EN:17037

Assessment of the discrepancy between daylight factor and using illuminance data methods by climate zones under EN:17037

Calculating the optimum window-to-wall ratio according to daylight factor and thermal performance in Mediterranean climate

Optimizing the View Percentage, Daylight Autonomy, Sunlight Exposure, and Energy Use: Data-Driven-Based Approach for Maximum Space Utilization in Residential Building Stock in Hot Climates

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