「Study on the Improvement of Indoor Thermal Environment of Traditional Dwellings Based on Subdivision of Climatic Region」の版間の差分
(ページの作成:「'''学生名''':鲁 子良 '''研究テーマ''':Study on the Improvement of Indoor Thermal Environment of Traditional Dwellings Based on Subdivision of Climatic Region…」) |
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'''取得学位''':博士（工学） | '''取得学位''':博士（工学） | ||
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Under China’s requirement to attain a carbon peak by 2030, and in the face of energy consumption dilemmas and environmental crises, decreasing building energy use has gained a widespread concern. Passive design is a climate adaptive design method that can save energy and reduce carbon emissions without using artificial energy resources and effectively improve the building’s indoor thermal comfort. And climate conditions are a critical factor in determining the passive design scheme. Climate zoning helps formulate building energy conservation standards and adapt building energy conservation technology according to the region. In this research, by using the spatial interpolation method, the Qinba mountainous area is divided into 5 climatic sub-regions, A1, A2, B1, B2, and C, based on HDD18 and CDD26. In addition, the relative humidity, wind speed, and solar radiation intensity were used as supplementary elements for sub-climate zoning. Then, the thermal neutral temperatures of the 5 climatic sub-regions were calculated through the questionnaire survey and field measurement. Furthermore, the research analyzed the sensitivity of passive design parameters in each climatic sub-region, and determined that the attached sunspace, and heat transfer coefficients of the exterior wall, roof, and exterior window are effective passive parameters. Finally, this research employs NSGA-2 and TOPSIS method to optimize passive design strategies for traditional dwellings in the 5 sub-regions with multi-objectives of improving building energy efficiency, thermal comfort, and cost-effectiveness. Through multi-objective optimization, applying effective passive measures could save 60.43%, 58.02%, 62.30%, 65.12%, and 62.59% of annual building thermal loads in sub-region A1, A2, B1, B2, and C, respectively. The structure is explored as follows:<br> | Under China’s requirement to attain a carbon peak by 2030, and in the face of energy consumption dilemmas and environmental crises, decreasing building energy use has gained a widespread concern. Passive design is a climate adaptive design method that can save energy and reduce carbon emissions without using artificial energy resources and effectively improve the building’s indoor thermal comfort. And climate conditions are a critical factor in determining the passive design scheme. Climate zoning helps formulate building energy conservation standards and adapt building energy conservation technology according to the region. In this research, by using the spatial interpolation method, the Qinba mountainous area is divided into 5 climatic sub-regions, A1, A2, B1, B2, and C, based on HDD18 and CDD26. In addition, the relative humidity, wind speed, and solar radiation intensity were used as supplementary elements for sub-climate zoning. Then, the thermal neutral temperatures of the 5 climatic sub-regions were calculated through the questionnaire survey and field measurement. Furthermore, the research analyzed the sensitivity of passive design parameters in each climatic sub-region, and determined that the attached sunspace, and heat transfer coefficients of the exterior wall, roof, and exterior window are effective passive parameters. Finally, this research employs NSGA-2 and TOPSIS method to optimize passive design strategies for traditional dwellings in the 5 sub-regions with multi-objectives of improving building energy efficiency, thermal comfort, and cost-effectiveness. Through multi-objective optimization, applying effective passive measures could save 60.43%, 58.02%, 62.30%, 65.12%, and 62.59% of annual building thermal loads in sub-region A1, A2, B1, B2, and C, respectively. The structure is explored as follows:<br> | ||
Chapter 1, Research Background and Purpose of the Study.<br> | Chapter 1, Research Background and Purpose of the Study.<br> | ||
2025年2月27日 (木) 22:46時点における最新版
学生名:鲁 子良
研究テーマ:Study on the Improvement of Indoor Thermal Environment of Traditional Dwellings Based on Subdivision of Climatic Region
(気候地域の細分化に基づく伝統的住居の室内温熱環境改善に関する研究)
入学年月:2020.04
修了年月:2023.09
取得学位:博士（工学）
論文概要:
Under China’s requirement to attain a carbon peak by 2030, and in the face of energy consumption dilemmas and environmental crises, decreasing building energy use has gained a widespread concern. Passive design is a climate adaptive design method that can save energy and reduce carbon emissions without using artificial energy resources and effectively improve the building’s indoor thermal comfort. And climate conditions are a critical factor in determining the passive design scheme. Climate zoning helps formulate building energy conservation standards and adapt building energy conservation technology according to the region. In this research, by using the spatial interpolation method, the Qinba mountainous area is divided into 5 climatic sub-regions, A1, A2, B1, B2, and C, based on HDD18 and CDD26. In addition, the relative humidity, wind speed, and solar radiation intensity were used as supplementary elements for sub-climate zoning. Then, the thermal neutral temperatures of the 5 climatic sub-regions were calculated through the questionnaire survey and field measurement. Furthermore, the research analyzed the sensitivity of passive design parameters in each climatic sub-region, and determined that the attached sunspace, and heat transfer coefficients of the exterior wall, roof, and exterior window are effective passive parameters. Finally, this research employs NSGA-2 and TOPSIS method to optimize passive design strategies for traditional dwellings in the 5 sub-regions with multi-objectives of improving building energy efficiency, thermal comfort, and cost-effectiveness. Through multi-objective optimization, applying effective passive measures could save 60.43%, 58.02%, 62.30%, 65.12%, and 62.59% of annual building thermal loads in sub-region A1, A2, B1, B2, and C, respectively. The structure is explored as follows:
Chapter 1, Research Background and Purpose of the Study.
Chapter 2, Literature Review.
Chapter 3, Methodology.
Chapter 4, The Climatic Subdivision in Qinba Mountainous Area.
Chapter 5, Field Survey and Traditional Dwelling’ Environmental Measurement in the Climatic Sub-regions.
Chapter 6, Thermal Comfort Investigation of the Climatic Sub-regions.
Chapter 7, Effectiveness Study of Passive Design Parameters for Traditional Dwelling.
Chapter 8, Multi-objective Optimization of Cost-effective Passive Strategies for Traditional Dwelling.
Chapter 9, Conclusion and Prospect.