WEKO3
アイテム
Study on the impact of urban building morphology on energy use intensity and photovoltaic potential based on a linear and nonlinear approach
https://kitakyu.repo.nii.ac.jp/records/2000481
https://kitakyu.repo.nii.ac.jp/records/2000481696858b0-7128-4e71-9378-4ed201509b08
| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2026-01-20 | |||||||
| タイトル | ||||||||
| タイトル | Study on the impact of urban building morphology on energy use intensity and photovoltaic potential based on a linear and nonlinear approach | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | Urban morphology|Energy use|Multi objective optimization|Linear and nonlinear | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| アクセス権 | ||||||||
| アクセス権 | metadata only access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||||
| その他（別言語等）のタイトル | ||||||||
| その他のタイトル | 線形・非線形アプローチによる都市建築形態がエネルギー使用強度と太陽光発電ポテンシャルに与える影響に関する研究 | |||||||
| 言語 | ja | |||||||
| 著者 |
冯 维佳
× 冯 维佳
|
|||||||
| 著者別名 | ||||||||
| 姓名 | フン イカ | |||||||
| 言語 | ja | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | This study investigates how urban block morphology influences energy use intensity and photovoltaic (PV) potential through linear and nonlinear methods. After outlining the climate and energy challenges, a bibliometric analysis reviews recent research trends. Indicators of residential cluster morphology are identified, followed by a field study of 96 clusters in Hangzhou. Benchmark models are developed to simulate energy use and PV potential using Honeybee and Ladybug, with results analyzed via orthogonal experiments, correlation, and regression. Multi-objective optimization with a genetic algorithm seeks to minimize energy use, maximize PV output, and improve thermal comfort while considering costs. A Multi-Objective Optimization–Random Forest model is further introduced to integrate machine learning into the optimization process. The study concludes with implications for sustainable urban design and future research on morphology’s role in energy efficiency and renewable generation. | |||||||
| 言語 | en | |||||||
| 学位名 | ||||||||
| 言語 | ja | |||||||
| 学位名 | 博士(工学) | |||||||
| item_10006_degree_grantor_9 | ||||||||
| 学位授与機関識別子Scheme | kakenhi | |||||||
| 学位授与機関識別子 | 27101 | |||||||
| 言語 | ja | |||||||
| 学位授与機関名 | 北九州市立大学 | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2025-09-24 | |||||||
| dissertation_number | ||||||||
| 学位授与番号 | 甲第336号 | |||||||
| 出版タイプ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
