Energy Performance Evaluation of Responsive Smart Windows Applying SPD According to Window Area Ratio and SHGC Range

Ko, Young Gwan; Hiki, Hong; Min, Jo Young

doi:10.6110/kjacr.2020.32.9.441

Cited by 6 publications

(4 citation statements)

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“…Solar radiation energy through windows has different effects on building energy consumption in winter and summer, which is why windows are a complicated design element. Previous studies are proposing strategies to reduce energy consumption by improving the envelope performance of windows [11,14,16,24]. While the effectiveness of glazing as a strategy for enhancing window performance has been verified, verification of each element's individual performance has not been conducted [39,40].…”

Section: Sinter and Discussionmentioning

confidence: 99%

“…Building energy efficiency can be increased by glazing windows to reduce solar heat gains in addition to heat transmission coefficients [14][15][16]. Building energy performance varies depending on optical performance, such as the solar heat gain coefficient (i.e., SHGC) and visible light transmittance (i.e., VLT), and optical performance, in particular, significantly affects the cooling load in summer [9,11].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Window Glass Design for Energy Efficiency in South Korean Office Buildings: A Hierarchical Analysis Using Energy Simulation

Lee,

Kim,

Ryu

et al. 2023

Buildings

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The world is emphasizing the need for building design that considers energy performance to deal with climate problems. South Korea has constantly been tightening the design standards for saving building energy but with a focus on thermal performance and equipment systems. Accordingly, this study conducted an energy simulation experiment on office buildings with different window-to-wall ratios (WWRs) to propose a smart glazing plan to improve energy performance. An energy simulation experiment was performed on office buildings with varying WWRs to hierarchically analyze the influence of building window performance elements, including the heat transmission coefficient (U-value), visible light transmittance (VLT), and solar heat gain coefficient (SHGC), on building energy performance. The analysis showed that SHGC had the most significant impact on the heating and cooling load, by 22.13%, with the influences of the variables being 12.4% for the U-value, 4.78% for VLT, and 82.83% for SHGC. The results showed that the solar heat gain coefficient (SHGC) had the greatest impact on energy performance among window performance elements, and the effect increased significantly in certain WWRs. Moreover, to improve the energy performance of buildings with higher WWRs, it is essential to reflect the optimum composition of the U-value and SHGC on the window plan. This study’s findings propose measures to supplement existing window plans focusing on thermal performance. Furthermore, these results hold academic value in providing concrete grounds for that.

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Section: Sinter and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing Window Glass Design for Energy Efficiency in South Korean Office Buildings: A Hierarchical Analysis Using Energy Simulation

Lee,

Kim,

Ryu

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…In Min et al, simulation analysis was conducted on the cooling load in summer for the U-value of SPD and the maximum and minimum values of SHGC [13]. Ko et al evaluated the energy performance of smart windows according to the WWR and the g-value range of SPD [14]. The evaluation was done with the TRNSYS18 simulation program, and a range of g-values according to the WWR was proposed.…”

Section: Introductionmentioning

confidence: 99%

Optimized Physical Properties of Electrochromic Smart Windows to Reduce Cooling and Heating Loads of Office Buildings

2021

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The concept of smart windows that can change the properties of windows and doors in response to external stimuli has recently been introduced. Smart windows provide superior energy savings and control of indoor environments. This concept can advance sustainable architecture, and it will make it possible to connect with the fourth industry, which has developed recently. However, unlike the relevant hardware, is advancing rapidly, research on methods of adjusting smart windows is slow. Therefore, in this study, an analysis of energy use over time was conducted on electrochromic windows, one of the main types of smart windows. Through this analysis, the optimal properties of electrochromic smart windows were identified, and an operation schedule was created. In addition, energy saving rates were derived through a comparison with existing architectural windows.

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“…As a result, when the window area ratio and SPD's controllable SHGC range were 70% and 0.1-0.55, respectively, percentage decrease of annual energy was up to 16.7%. However, this study had a limitation in that a simulation was performed for a small space without verification [19]. Hong et al studied the relationship between cooling/heating and lighting loads of buildings according to changes in the SHGC and U-values of SPD windows.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Verification of SPD Smart Window, Controllable According to Solar Radiation in South Korea

Hiki

et al. 2020

Energies

Self Cite

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Between 60% and 70% of the total energy load of a house or office occurs through the exteriors of the building, and in the case of offices, heat loss from windows and doors can approach 40%. A need for glass that can artificially control the transmittance of visible light has therefore emerged. Smart windows with suspended particle device (SPD) film can reduce energy consumption by responding to environmental conditions. To measure the effect of SPD windows on the energy requirements for cooling and heating in Korea, we installed a testbed with SPD windows. With TRNSYS18, the comparison between measurements and simulation has been made in order to validate the simulation model with respect to the modeling of an SPD window. Furthermore, the energy requirements of conventional and SPD-applied windows were compared and analyzed for a standard building that represented an actual office building. When weather for the city of Anseong and a two-speed heat pump were used to verify the simulation, the simulated electricity consumption error compared with the testbed was −1.0% for cooling and −0.9% for heating. The annual electricity consumption error was −0.9%. When TMY2 Seoul weather data were applied to the reference building, the decrease in electricity consumption for cooling in the SPD model compared with the non-SPD model was 29.1% and the increase for heating was 15.8%. Annual electricity consumption decreased by 4.1%.

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Energy Performance Evaluation of Responsive Smart Windows Applying SPD According to Window Area Ratio and SHGC Range

Cited by 6 publications

References 0 publications

Optimizing Window Glass Design for Energy Efficiency in South Korean Office Buildings: A Hierarchical Analysis Using Energy Simulation

Optimizing Window Glass Design for Energy Efficiency in South Korean Office Buildings: A Hierarchical Analysis Using Energy Simulation

Optimized Physical Properties of Electrochromic Smart Windows to Reduce Cooling and Heating Loads of Office Buildings

Energy Consumption Verification of SPD Smart Window, Controllable According to Solar Radiation in South Korea

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