鄰里尺度未來氣象推估資料於建築能源領域之應用探討：以溫羅汀街區為例

Abstract

本研究旨在探討如何運用鄰里尺度的未來氣象推估資料來提升建築能源模擬的精度，以應對氣候變遷對建築能耗的影響。研究對象為台北市溫羅汀街區，透過高空間解析度的氣象數據及建築使用型態分布調查，進行能源消耗趨勢預測。研究結果顯示，結合高解析度氣象數據與型態轉變法，可提升能源模型的準確性，為未來的建築節能策略提供有力的科學基礎。本研究強調了在建築設計與管理中考慮氣候變遷的重要性，並期望能對台灣及其他地區的建築節能工作提供指導。

This study aims to explore how the use of neighborhood-scale future climate projection data can enhance the accuracy of building energy simulations in response to the impact of climate change on building energy consumption. The case study focuses on the Wenrodin District in Taipei, where high spatial resolution meteorological data and surveys on building usage patterns are utilized to predict energy consumption trends. The findings indicate that the combination of high-resolution weather data and the morphing method improves the accuracy of energy models, providing a robust scientific basis for future building energy-saving strategies. This study emphasizes the importance of considering climate change in building design and management and seeks to provide guidance for energy-saving efforts in Taiwan and other regions.