利用社交網絡分析探討行為式建築節能作法

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姓名

王如觀(Ru-Guan Wang) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

利用社交網絡分析探討行為式建築節能作法
(Analysis of Occupancy-Driven Power Consumption Data in Buildings Using Social Network Analysis)

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摘要(中)

追求人們之需求，提高建築環境的舒適度和經濟使用率為當今社會之目標，也由於現今人口出生和衰老之影響，社會人口結構發生了變化，人類之用電行為也產生了改變。隨著世界持續城市化，都市人口密度逐漸增長，建築設施也大幅度之增加，近年來，節能問題於今日之碳減排趨勢中變得越來越重要，就建築物而言，以一般住宅型態與商業型態之建築物為能源消耗之主要指標，因此，本研究將基於人類用電習慣之因素，探索一般住宅類型建築物之能源消耗，憑藉所提出之加權傳播設計與屬性資料建構，搭配關鍵因子之分群規則進一步創建社交網絡分析模型，除了透明化住戶用電之使用模式，更於社群中找尋具有較高影響力之關鍵人物，進而有效傳遞節能訊息，透過資訊之交流，供其他人學習與效仿，降低民眾之用電額度，達到節能減碳之效果。

摘要(英)

Reducing carbon footprints in the building sector can be achieved by altering the power consumption behavior of building residents. Due to the influence of today’s declining birth rate and population aging, the structure of human society is changed, requiring the identification of key persons active in a community to persuade the others into saving electricity. This research aims at applying the technique of social network analysis (SNA) to a publicly available smart meter data set for building residents in Germany. Traditionally the head of a community can serve as the role of broadcasting energy-saving information, although its effectiveness varies with different circumstances. In the proposed SNA-based approach, the German data set is firstly examined and pre-processed, such as augmenting building occupancy data and relationships among residents. Then, different SNA indexes are explored in order to derive a generalized procedure for such identification of key persons. More sustainable societies can be established if key persons of a community can be identified and get involved by using the proposed approach. Energy-saving information specific to each type of home appliance can be broadcast effectively and efficiently, based on such identification, so that all building residents can implement the corresponding energy saving tips.

關鍵字(中)

★ 社交網絡分析
★ 智慧電表大數據分析
★ 建築節能

關鍵字(英)

★ Social network analysis
★ Smart meter data analytics
★ Energy conservation in buildings

論文目次

摘要 vi
Abstract vii
誌謝 viii
目錄 ix
圖目錄 x
表目錄 xii
第1章緒論 1
1-1 研究背景與動機 1
1-2 研究問題與目的 3
1-3 研究範圍與限制 4
1-4 研究流程 5
1-5 論文結構 7
第2章文獻回顧 9
2-1 社交網絡分析 9
2-2 能源消耗與節能技術 17
2-3 反饋模型對節省能源效益之社會影響 21
2-4 文獻評析 24
第3章社交網絡模型 26
3-1 社交網絡之加權傳播 27
3-2 加權傳播分配設計 29
3-3 屬性資料建構 35
3-4 節點衡量機制 36
3-5 關鍵因子分群規則 40
第4章針對德國南部住宅用戶之電力消耗負載進行探討 43
4-1 德國南部住宅建築物之電器耗電情況 43
4-2 整體系統應用介面 48
4-3 分析住宅用戶電力消耗模式 54
4-4 聚類分析 71
第5章結論與建議 82
5-1 結論 82
5-2 建議 83
5-3 貢獻 85
參考文獻 87

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指導教授

周建成(Chien-Cheng Chou)

審核日期

2019-7-10

推文