Operation Planning of Natural Ventilation System Utilizing Network Simulation

Hiyama, Kyosuke; Takeuchi, Kenichiro

doi:10.3130/aije.84.161

Cited by 5 publications

(2 citation statements)

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“…The concept of opening ratio incorporated in this study is useful because avoiding the occurrence of a low‐temperature environment is difficult by simply controlling the opening of the natural ventilation openings in two steps 81 . Furthermore, Lim et al 82 .…”

Section: Overall Discussionmentioning

confidence: 99%

“…The concept of opening ratio incorporated in this study is useful because avoiding the occurrence of a low-temperature environment is difficult by simply controlling the opening of the natural ventilation openings in two steps. 81 Furthermore, Lim et al 82 proposed a louver that automatically adjusts the degree of opening of natural ventilation openings and showed its effectiveness. Such automatic adjustment technology is considered to be effective in realizing an ideal natural ventilation operation method.…”

Section: Overall Discussionmentioning

confidence: 99%

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Exploring the impact of opening ratio on indoor thermal environment: A study on natural ventilation design

Shimonosono

Sasaki

Kohri

2023

Japan Architectural Review

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The utilization of natural ventilation to reduce thermal load and enhance thermal comfort in buildings is on the rise. Furthermore, in light of the COVID‐19 impact, natural ventilation is gaining prominence as an increasingly vital technology. However, it is crucial to address potential challenges associated with natural ventilation, particularly its impact on the indoor thermal environment. This study aimed to examine and offer insights into natural ventilation design and operational strategies for office buildings. We initially summarized the criteria and effective opening area of natural ventilation openings (αAi) in Japanese naturally ventilated buildings. Among the 37 investigated office buildings, we found a positive correlation between the natural ventilation room area and the αAi. Approximately, 25 buildings maintained a ratio of αAi to the natural ventilation room area ranging from 0.1%–0.5%. Additionally, we conducted measurements of the indoor thermal environment, focusing on the opening ratio of natural ventilation openings. The difference of indoor and outdoor temperature showed a strong negative correlation with the opening ratio, while wind direction and global solar radiation exhibited significant correlations as well. These research findings provide valuable insights for future natural ventilation designs and the incorporation of opening ratio concepts into operational methods.

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Section: Overall Discussionmentioning

confidence: 99%

Section: Overall Discussionmentioning

confidence: 99%

Exploring the impact of opening ratio on indoor thermal environment: A study on natural ventilation design

Shimonosono

Sasaki

Kohri

2023

Japan Architectural Review

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Operation strategy for engineered natural ventilation using machine learning under sparse data conditions

Hiyama

Takeuchi

Omodaka

et al. 2021

Japan Architectural Review

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Machine learning (ML) is a useful technique for improving building operations. However, if data can only be obtained from a target building, the data shortage will limit the use of general ML models. To overcome this issue, simplified targets and limited numbers of feature variables are required. In building engineering, building physics can be used to promote ML implementations. In this paper, a case study targeting the operation of engineered natural ventilation is performed based on energy simulations. The target issue is simplified to select the preferable opening pattern, full or half open, throughout the day. Two models using two or three feature variable types are compared. The ML method can effectively predict the correct operation scheme, even in the first year of use. The correct answer rate in the case of three variable types increases from 83% to 95% in the second year, although no significant improvement is observed in the case with two variable types. The results imply the strategy of creating a simplified model first and improving the model following data acquisition works for ML model implementation in building operations.

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Monitoring Point of External Wind Velocity Around Building Roof Top for Natural Ventilation Control

Akashi

Kobayashi

Yamanaka

et al. 2021

Nihon Kenchiku Gakkai Kankyokei Ronbunshu

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In order to measure external wind velocity and direction for controlling natural ventilation (NV), anemometers are often installed at the roof top of mid-to high-rise buildings. However, due to the complex flow field around roof top caused by separation flow, the accuracy of the measurement is not well-known. The final goal of this research is to propose an advanced method for controlling NV operation. By conducting PIV and CFD, the results of the accuracy of estimation of external wind direction and velocity at measuring points based on the data regarding horizontal distribution are shown in this paper.

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Operation Planning of Natural Ventilation System Utilizing Network Simulation

Cited by 5 publications

References 0 publications

Exploring the impact of opening ratio on indoor thermal environment: A study on natural ventilation design

Exploring the impact of opening ratio on indoor thermal environment: A study on natural ventilation design

Operation strategy for engineered natural ventilation using machine learning under sparse data conditions

Monitoring Point of External Wind Velocity Around Building Roof Top for Natural Ventilation Control

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