Evaluation of Building Energy Saving Through the Development of Venetian Blinds’ Optimal Control Algorithm According to the Orientation and Window-to-Wall Ratio

Kwon, Hyuk Ju; Yeon, Sang Hun; Lee, Keum Ho

doi:10.1007/s10765-017-2350-3

Cited by 16 publications

(4 citation statements)

References 9 publications

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“…Another factor to be simulated is solar radiation. Adjusting the angle of fac xade panels or deploying shading devices can reduce the amount of direct sunlight entering the building (Kwon et al, 2018), thereby minimizing heat gain (Bui et al, 2020). Effective facade coverage can substantially lower heating costs in winter and cooling costs in summer.…”

Section: Performance Simulationmentioning

confidence: 99%

Multi-objective optimization of kinetic facade aperture ratios for daylight and solar radiation control

Wagiri,

Shih,

Harsono

et al. 2024

Journal of Building Physics

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This study explores the optimization of kinetic facades to promote environmental sustainability in building designs, addressing the critical issues of high energy consumption and CO2 emissions prevalent in the construction sector. The focus is on achieving an intricate balance between maximizing natural daylight and minimizing solar radiation using innovative kinetic facade designs. Parametric modeling tools are utilized in the design process to experiment with various facade configurations. The effectiveness of these designs is then validated using both digital and physical prototypes, with their adaptability to diverse climatic conditions evaluated through dynamic simulations. A key component of the study is the application of the Wallacei plugin for Grasshopper, which assists in multi-objective optimization to determine the most effective facade aperture ratios. The results demonstrates a substantial reduction in solar radiation levels, with a 70% decrease on the first floor and a 76% decrease on the seventh floor, achieved by optimizing aperture ratios. The study concludes that optimizing kinetic facades significantly improves building performance compared to traditional glass facades, offering an effective balance between daylight enhancement and solar radiation reduction, influenced by seasonal changes. It also emphasizes the importance of factors such as building height and the surrounding environment in facade design. Overall, the findings highlight kinetic facades as a viable solution for improving building efficiency and occupant comfort, suggesting a promising avenue for advancements in architectural design and construction.

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Section: Performance Simulationmentioning

confidence: 99%

Multi-objective optimization of kinetic facade aperture ratios for daylight and solar radiation control

Wagiri,

Shih,

Harsono

et al. 2024

Journal of Building Physics

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“…In the literature, there is an increasing number of studies proposing optimisation approaches to improve energy efficiency, cost performance, thermal comfort and daylight performance, as a single or multi-objective optimisation. The single optimisation approaches focus mostly on energy performance to find the optimum building shape, facade (Li et al, 2018; Tuhus-Dubrow and Krarti, 2010), window types (Lee et al, 2013), window orientation and window-to-wall ratio (WWR) (Susorova et al, 2013) and building orientation (Kwon et al, 2018). Second, the life-cycle cost has been considered as the single objective to optimise, in addition to infiltration (Ferdyn-Grygierek and Grygierek, 2017) and insulation thickness and layers of the envelope (Axaopoulos et al, 2019; Ferdyn-Grygierek and Grygierek, 2017; Kumar et al, 2020; Meng et al, 2019; Yılmaz and Oral, 2018, 2019).…”

Section: Introductionmentioning

confidence: 99%

A weighted multi-objective optimisation approach to improve based facade aperture sizes in terms of energy, thermal comfort and daylight usage

Yılmaz

2020

Journal of Building Physics

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In building design, the decision-makers should not focus only on energy efficiency as a single objective but indoor environmental quality indicators, such as thermal comfort, daylight usage and so on, should also be considered as a part of building performance. The building performance can be ensured by determining the proper performance indicators and the variables during the design. In this context, a weighted (among the objectives) multi-objective cost function was proposed, for the optimisation of energy, thermal comfort and daylight usage of a case study archetype design, through the selected design variables, considering the base architectural design principles as well. A typical social housing archetype design was determined as the case study to apply the proposed approach. The window sizes are optimised for each orientation simultaneously, for a temperate-humid climatic region. The results were evaluated in terms of improvement potentials of energy, thermal comfort and daylight performances, and the dominant values for the window sizes for each facade. According to the results, the optimised scenario achieved an 11.42% reduction in primary energy use equivalent to 181.24 kWh/m2a, a 4.52% reduction in a predicted percentage of dissatisfied with 9.12%, and a reduction in lighting energy of 4.94% equivalent to 21.17 kWh/m2a. These reductions verify the possibility to achieve higher performances on each criterion.

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“…This climate classification makes it possible to generalize the results of CBDM since regions in the classifications include almost similar climate conditions. Most previous multi-objective optimization studies rely on energy optimization of buildings which depends significantly on occupants behavior [10], shading devices and slate angles [11], building envelope and orientation [12,13], and the type of windows [14] based on the Window-to-Wall Ratio (WWR) instead of WFR. It is noteworthy to mention that the acceptable range of WWR is 40% according to the ASHRAE 90.1 standard for some specific climate zones [15].…”

Section: Introductionmentioning

confidence: 99%

A Field-validated Multi-objective Optimization of the Shape and Size of Windows Based on Daylighting Metrics in Hot-summer Mediterranean and Dry Summer Continental Climates

Kharvari

2020

Journal of Daylighting

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This study aims to determine the optimum size of windows based on the window-to-floor ratio (WFR) for the main cardinal directions in Hot-summer Mediterranean (Csa) and Dry Summer Continental (Dsa) climates (Köppen–Geiger classification system) by carrying out a multi-objective optimization that relies on three dynamic metrics of Useful Daylight Illuminance (UDI-a (autonomous)), Daylight Autonomy (DA), and Annual Sunlight Exposure (ASE1000,250) in Radiance version 5.1. A validation against field measurements is conducted under an overcast sky with an illuminance of 11000 lux. The Pareto front is used to pick the best solutions for evaluating the most optimized solutions. Accordingly, the minimum standards for cardinal directions in each climate are defined. The minimum suggested WFR for the Dsa and Csa climates for the south-, east-, north-, and west-facing windows are 20%, 15%, 20%, and 15% (Dsa) and 20%, 20%, 25%, and 20% (Csa), respectively. Furthermore, the results show the shape and relative proportions of windows (vertical/horizontal) have a significant effect on the metrics. As a result, this paper introduces the “Proportion Ratio” as a new indicator for designing windows.

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Evaluation of Building Energy Saving Through the Development of Venetian Blinds’ Optimal Control Algorithm According to the Orientation and Window-to-Wall Ratio

Cited by 16 publications

References 9 publications

Multi-objective optimization of kinetic facade aperture ratios for daylight and solar radiation control

Multi-objective optimization of kinetic facade aperture ratios for daylight and solar radiation control

A weighted multi-objective optimisation approach to improve based facade aperture sizes in terms of energy, thermal comfort and daylight usage

A Field-validated Multi-objective Optimization of the Shape and Size of Windows Based on Daylighting Metrics in Hot-summer Mediterranean and Dry Summer Continental Climates

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