Shading System Design and Solar Gains Control for Buildings Passive Energy-Efficiency Improvement

Akimov, L. A.; L'vov, V. S.; Montegiordano, Davide de Martino di; Mei, Kevin De; Osipov, N. Ya.; Ostrovaia, Anastasia; Krasnozhen, Sergei; Badenko, Vladimir; Terleev, Vitaly

doi:10.1007/978-3-030-83917-8_2

Cited by 3 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another avenue for research is the application of digital twin technology for developing and analysis of adaptive daylighting schemes using lighting and shading control. Akimov et al (2022) applied the idea of digital twin technology to energy-efficient building design using passive control of static shading systems to achieve thermal and visual comfort conditions. The emphasis is on the data exchange between the physical and virtual environments for the most accurate representation of the real environment while minimizing the error factor in the sensing device and measurement technique that can cause a deviation from real life.…”

Section: Limitations and Recommendations For Future Researchmentioning

confidence: 99%

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Grace Colaco,

Varghese,

Pearl Kurian

et al. 2023

STET

View full text Add to dashboard Cite

Lighting designers are always on the quest to develop a lighting control strategy that is aesthetically pleasing, comfortable, and energy-efficient. In an indoor context, electric lighting blended with daylighting controls forms a quintessential component for improving the occupant’s comfort and energy efficiency. Application of soft computing techniques, adaptive predictive control theory, machine learning, HDR photography, and wireless networking have facilitated recent advances in intelligent building automation systems. The evolution and revolution from the 19th to the 21st century in developing daylighting control schemes and their outcomes are investigated. This review summarizes the state-of-the-art artificial intelligence techniques in daylighting controllers to optimize the performance of conventional photosensor-based control and camera-based control in commercial buildings. The past, current, and future trends are investigated and analyzed to determine the key factors influencing the controller design. This article intends to serve as a comprehensive literature review that would aid in creating promising new concepts in daylighting controllers.

show abstract

Section: Limitations and Recommendations For Future Researchmentioning

confidence: 99%

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Grace Colaco,

Varghese,

Pearl Kurian

et al. 2023

STET

View full text Add to dashboard Cite

show abstract

Section: The Final Dynamic Façade Concept Shape Findingmentioning

confidence: 99%

“…The studies by Lee et al (2017) and Akimov et al (2021b) discuss that the introduction of vertical shading to the curtain wall system for the west and south-west exposure façades is beneficial, since vertical fins mitigate exceeding daylight illuminance (and harmful solar radiation) coming from the west exposure during fall and summer periods. The sun-chart analysis (Akimov et al 2021b) of the southwest oriented glazed façade (façade bearing angle is 46° to west from south) of the same base-line building used in this research demonstrated that providing a vertical shading (0.55 m long vertical fins rotated 45° with respect to the façade plane) allows to mitigate 90% of harmful solar radiation hours. Therefore, it was assumed by the authors that the shape modification that would provide more vertical shading would decrease the light entrance through the transparent envelope parts, which was exceeding in the initial dynamic façade Configuration 2 (following the UDI > 2000 lx domain, Figure 7) and kept the UDI-a and DA_500 results lower compared to the Case Study 3.…”

Section: The Final Dynamic Façade Concept Shape Findingmentioning

confidence: 99%

Example-based dynamic façade design using the facade daylighting performance improvement (FDPI) indicator

Akimov,

Bezborodov,

Badenko

2023

Build. Simul.

View full text Add to dashboard Cite

It remains challenging to conduct an efficient dynamic façade design. In this article authors try to address this issue introducing the façade daylighting performance improvement (FDPI) indicator aimed to evaluate the performance of a dynamic (adaptive) façade from its daylighting performance point of view. To illustrate the FDPI application the authors introduced the preliminary dynamic façade concept for an office building located in Tel Aviv (Hot-summer Mediterranean Climate Csa) with further shape modification based on the daylighting performance analysis compared to the three alternatives representative of different typologies of dynamic facades. Al Bahr, One Ocean and The University of Southern Denmark façade systems were simulated under the same weather and building conditions of the preliminary dynamic façade concept and were considered as a benchmark for the study. The final dynamic façade concept elaborated by the authors in the preliminary comparative workflow showed noticeable daylight performance improvement with respect to the case studies comparative scenarios. The FDPI metric allowed to estimate a daylighting performance improvement of 43% of the final dynamic façade concept over the case study dynamic façade that showed the best performance in the daylighting simulations.

show abstract

A Digital Twin Model of Three-Dimensional Shading for Simulation of the Ironmaking Process

Lei

Karimi

2022

Machines

View full text Add to dashboard Cite

Advanced manufacturing is a new trend for sustainable industrial development, and digital twin is a new technology that has attracted attention. Blast furnace smelting is an effective method in the manufacturing of iron and steel. Comprehensive and dependable surveillance of the blast furnace smelting process is essential for ensuring the smooth operation and improving of iron and steel output quality. The current technology makes it difficult to monitor the entire process of blast furnace ironmaking. Based on Unity 3D, this study presents a digital-twin virtual reality simulation system of blast furnace ironmaking. First, shading modeling creates a three-dimensional dynamic geometric model in different ironmaking system scenarios. Then, we script the animation and call particle system according to the motion mode of distinct geometric objects to give the dynamic effect of geometric objects. Shaders are the focus of the design and contributions. In addition, shader optimization technology can reduce hardware resource consumption and increase system fluency. Vertex shaders are used for all types of coordinate space transformation and vertex output; fragment shaders are used for texture sampling, light model calculation, normal calculation, noise superposition, and color output. The shader rendering technique allows for more realistic lighting effects. The presented dynamic digital twin system implements more realistic lighting analyzed in the ironmaking process. Virtual interaction logic’s design and deployment process is based on HTC VIVE hardware and VRTK toolkit. In the actual simulation process, the typical animation frame rate is stable at about 75 FPS (frames per second). The simulation system runs smoothly and a cutting-edge and state-of-the-art method for observing the blast furnace ironmaking process is suggested.

show abstract

Shading System Design and Solar Gains Control for Buildings Passive Energy-Efficiency Improvement

Cited by 3 publications

References 27 publications

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Example-based dynamic façade design using the facade daylighting performance improvement (FDPI) indicator

A Digital Twin Model of Three-Dimensional Shading for Simulation of the Ironmaking Process

Contact Info

Product

Resources

About