Performance analysis of a double-skin façade system installed at different floor levels of high-rise apartment building

Yoon, Yeo Beom; Seo, Byeongmo; Koh, Brian Baewon; Cho, Soolyeon

doi:10.1016/j.jobe.2019.100900

Cited by 13 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To solve this issue, many studies have been conducted on high-performance windows, smart windows, and shading systems in both industry and academic fields. Energy reduction through the Double Skin Façade (DSF) system has been verified by previous studies [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. If a DSF system is installed in a building, the building has additional space, and it works as a thermal buffer.…”

mentioning

confidence: 70%

Application of Artificial Neural Network for the Optimum Control of HVAC Systems in Double-Skinned Office Buildings

Seo

Yoon

Mun³

et al. 2019

Energies

Self Cite

View full text Add to dashboard Cite

Double Skin Façade (DSF) systems have become an alternative to the environmental and energy savings issues. DSF offers thermal buffer areas that can provide benefits to the conditioned spaces in the form of improved comforts and energy savings. There are many studies conducted to resolve issues about the heat captured inside DSF. Various window control strategies and algorithms were introduced to minimize the heat gain of DSF in summer. However, the thermal condition of the DSF causes a time lag between the response time of the Heating, Ventilation, and Air-Conditioning (HVAC) system and cooling loads of zones. This results in more cooling energy supply or sometimes less than required, making the conditioned zones either too cold or warm. It is necessary to operate the HVAC system in consideration of all conditions, i.e., DSF internal conditions and indoor environment, as well as proper DSF window controls. This paper proposes an optimal air supply control for a DSF office building located in a hot and humid climate. An Artificial Neural Network (ANN)-based control was developed and tested for its effectiveness. Results show a 10.5% cooling energy reduction from the DSF building compared to the non-DSF building with the same HVAC control. Additionally, 4.5% more savings were observed when using the ANN-based control.The window factor is one of the main factors that increase the building energy consumption due to high U-value and solar heat gain. To solve this issue, many studies have been conducted on high-performance windows, smart windows, and shading systems in both industry and academic fields. Energy reduction through the Double Skin Façade (DSF) system has been verified by previous studies [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. If a DSF system is installed in a building, the building has additional space, and it works as a thermal buffer. Through the thermal buffer, window heat loss is reduced in winter. Window heat loss is calculated by multiplying the U-value of the window, the area of the window, and the temperature differences between indoor and outdoor air. With the installation of the DSF system, the outside condition of the building is changed from the weather condition to the indoor air of the DSF system, which has a higher temperature than outdoor air in winter. Through these temperature differences, window heat loss is reduced with the installation of the DSF system. In summer, on the other hand, window opening control is needed to reduce cooling energy consumption by ventilating the hot air inside the DSF system to the outside [3].Many researchers have conducted studies related to energy saving through DSF system installation. Yoon et al. analyzed heating energy savings by the installation of the DSF system in a high-rise apartment at different floor levels in Seoul, which is a heating dominant area. Results show that the first-floor apartment unit consumes the least heating energy, and the 25th floor consumes the most [4]. Joe et al. analyzed the impact of the DSF design, regarding g...

show abstract

mentioning

confidence: 70%

Application of Artificial Neural Network for the Optimum Control of HVAC Systems in Double-Skinned Office Buildings

Seo

Yoon

Mun³

et al. 2019

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…1), and the project is located in Shenyang, Liaoning Province, north China. The construction area is about 29,500m 2 , the building has 12 floors, and the height is about 56m.…”

Section: Project Profilementioning

confidence: 99%

“…The construction industry is emitting more carbon emissions, accounting for around 40% of global carbon emissions [1] . Among the various building types, high-rise buildings have attracted widespread attention due to their high energy consumption and significant differences in energy consumption among rooms [2] . Therefore, it is of great significance for the construction industry to achieve the goal of carbon neutrality by balancing the energy consumption differences of various parts of high-rise buildings through refined energy-saving design, and reducing the total energy consumption of high-rise buildings [3] .…”

Section: Introductionmentioning

confidence: 99%

Building Energy Consumption Prediction Model for Edge Effects in the Case of High-Rise Buildings

Sun,

Li,

Dong

et al. 2024

Preprint

View full text Add to dashboard Cite

Under the background of carbon neutrality, the energy-saving design of high-rise buildings has received widespread attention. And the differences in energy consumption in various parts of high-rise buildings have become an obstacle to energy-saving design. The edge effects is one of the main causes of the differences in energy consumption. The existing research lacks accurate quantitative assessment of edge effects, making it is difficult to guide the energy-saving design of high-rise buildings. Therefore, a modeling method for studying the distribution of building energy consumption is proposed, the edge effects energy consumption prediction model of building space is established by parametric technology, and CFD and energy simulation technology are used to carry out experiments. We conduct in-depth discussions on the influence areas of edge effects on different heights of plate and tower high-rise buildings, as well as the impact intensity of edge effects on energy consumption. In addition, an optimization strategy to reduce the impact of edge effects on the energy consumption of high-rise buildings is proposed.

show abstract

“…The architectural and construction sectors in Kuwait are steadily gravitating towards innovative solutions like DSFs. Recognizing the dual benefits of aesthetic flexibility and energy efficiency, many modern structures in Kuwait now boast this advanced façade system (Yoon et al, 2019).…”

Section: -Embracing Modern Solutions: Double-skin Façades (Dsfs)mentioning

confidence: 99%

Optimization of Double-Skin Façades for Heating and Cooling in High-Rise Buildings: A Case Study in Kuwait City

Ghaith,

Buhamad

2024

Journal of Engineering Sciences and Information Technology

View full text Add to dashboard Cite

In hot arid climates such as Kuwait, the challenge of heat transfer through building façades has prompted significant debate. Determining the heating and cooling loads of buildings in such environments is crucial to assess their energy efficiency. Objectives: This research was undertaken to gauge the energy efficiency of high-rise buildings outfitted with double facades in Kuwait City, emphasizing their heating and cooling loads. Methods: A parametric computer simulation was employed, utilizing the eQUEST program, to model a prototype of a high-rise building with double facades in Kuwait City. This model was used to quantify the double façade's efficacy in mitigating heating and cooling loads, drawing comparisons with typical glazing buildings in the city. Results: Findings indicate that the total energy consumption for space conditioning in buildings with DSFs was 235 MWh/year for heating and 2,890 MWh/year for cooling, aligning well with the energy conservation program (MEW/R-6/2014) benchmarks in Kuwait. Additionally, when optimally configured with materials like polycarbonate and an optimal cavity width of 50cm, DSFs contributed to a significant reduction in building loads. Specifically, the DSFs constituted 2,900 MWh/year of the total cooling load and 235 MWh/year of the heating load. Conclusion: Our results underscore the potential of double-skin façades in decreasing energy consumption for both heating and cooling purposes, demonstrating their superiority over conventional high-rise building facades in Kuwait City.

show abstract

Performance analysis of a double-skin façade system installed at different floor levels of high-rise apartment building

Cited by 13 publications

References 14 publications

Application of Artificial Neural Network for the Optimum Control of HVAC Systems in Double-Skinned Office Buildings

Application of Artificial Neural Network for the Optimum Control of HVAC Systems in Double-Skinned Office Buildings

Building Energy Consumption Prediction Model for Edge Effects in the Case of High-Rise Buildings

Optimization of Double-Skin Façades for Heating and Cooling in High-Rise Buildings: A Case Study in Kuwait City

Contact Info

Product

Resources

About