Combining geographic information and climate data to develop urban building energy prediction models in Taichung, Taiwan

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-10-30 DOI:10.1016/j.scs.2024.105949

Cing Chang, Chieh-Yu Chen, Tzu-Ping Lin

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Abstract

Climate change in Taiwan has extended and intensified the summer season, leading to a notable surge in energy demand for cooling systems, especially in densely populated regions. Building energy usage is directly correlated with cooling degree hours (CDHs), representing the hourly temperature differential between indoors and outdoors. This study employed high-resolution Taiwan ReAnalysis Downscaling (TReAD) data to develop an urban energy prediction model focusing on localized cooling demand in central Taiwan's urban areas. Validated against actual electricity consumption data, the model achieved an R² value of 0.76. The study reveals that urban areas exhibit a high cooling demand during the hot season, exceeding 25,000 °C-h and with an annual energy consumption of 44–64 kWh/m². Conversely, rural areas have a lower cooling demand – that is, below 8,000 °C-h, with an annual energy consumption of <10 kWh/m².

Considering the IPCC's RCP8.5 warming scenario, October shows a 20–40 % increase in cooling demand compared to July and May. This underscores the need to address rising energy consumption especially during the early and late stages of the hot season in response to climate change.

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结合地理信息和气候数据开发台湾台中市城市建筑能源预测模型

台湾的气候变化延长并加剧了夏季，导致制冷系统的能源需求显著增加，尤其是在人口稠密地区。建筑能耗与制冷度小时（CDHs）直接相关，CDHs 代表室内外每小时的温差。本研究利用高分辨率的台湾再分析降尺度（TReAD）数据开发了一个城市能源预测模型，重点关注台湾中部城市地区的局部制冷需求。根据实际耗电量数据进行验证，模型的 R2 值达到 0.76。研究结果表明，城市地区在炎热季节的制冷需求较高，超过 25,000 ℃-h，年耗电量为 44-64 kWh/m2。相反，农村地区的降温需求较低，即低于 8000 ℃-h，年能耗为 10 kWh/m2。考虑到 IPCC 的 RCP8.5 升温情景，10 月份的降温需求比 7 月和 5 月增加了 20-40%。这突出表明，有必要解决能源消耗增加的问题，尤其是在炎热季节的前期和后期，以应对气候变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;