UNS: Integrated assessments of urbanization impacts on building energy use for urban energy sustainability

UNS：城市化对建筑能源使用影响的综合评估，以实现城市能源可持续性

• 批准号: 2041859
• 负责人: Zhengyuan Zhu
• 金额: $ 31.56万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2041859&HistoricalAwards=false
• 关键词: UNS; Integrated; assessments; urbanization; impacts

The current rate of urbanization, coupled with anticipated growing energy demand in the future, makes the need for science-based information and knowledge on urban energy sustainability challenging and promising. This project focuses on a systematic analysis of compound urbanization impacts on building energy use. The overall goal of this project is to improve understanding of the role of urbanization in influencing building energy use for developing region-specific strategies to mitigate growing energy demand. By integrating capabilities of geospatial and integrated assessment modeling to address challenges of urban energy sustainability, this research has the potential to improve the practices relevant to urbanization and building energy use at the large scale and will contribute to the next generation of sustainable urban systems science.Four specific tasks to achieve the overall goal: (1) to examine and project coupled impacts of urbanization on building energy use at three levels, including population redistribution (regional level), urban density change (city level), and urban heat island growth (local level); (2) to develop a state-of-the- science building energy modeling framework that can systematically quantify and evaluate the compound impact of urbanization on building energy use; (3) to investigate the role and implication of urbanization and other key factors (e.g., technology improvement) in mitigating growing urban energy demand for region-specific strategies of urban energy sustainability; and (4) to develop a new innovative course in urban sustainability, to expose students (especially underrepresented) to environmental science with the aim of enhancing their interests in pursuing a career in science, and to engage general public and relevant stakeholders for a broad dissemination of findings. This project aims to advance knowledge and understanding of compound urbanization impacts on building energy use by answering fundamental questions: (1) to what extent can urbanization influence building energy use with the consideration of coupled effects at three levels? (2) what will be the relative role of urbanization in influencing building energy use compared to other factors (e.g., technology improvement)? and (3) how will the influence and role of urbanization vary over space/region? The modeling framework will serve as a prototype in coupling often independent methods/models together with scenario analyses to explore complex problems of urbanization impacts. It will help to create a means to mitigate growing energy demand and to inform policy and practical decisions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

目前的城市化速度，加上预计未来能源需求的增长，使得对城市能源可持续性的科学信息和知识的需求既具有挑战性，又充满希望。该项目的重点是系统分析城市化对建筑能源使用的复合影响。该项目的总体目标是更好地了解城市化在影响建筑物能源使用方面的作用，以制定针对具体区域的战略，缓解日益增长的能源需求。通过整合地理空间和综合评估建模的能力，以应对城市能源可持续性的挑战，这项研究有可能改善大规模城市化和建筑能源使用的相关实践，并将有助于下一代可持续城市系统科学。（1）研究和预测城市化在三个层面对建筑能源使用的耦合影响，包括人口重新分布（区域一级），城市密度变化（城市水平），城市热岛增长（2）开发一个科学的建筑能源建模框架，可以系统地量化和评估城市化对建筑能源使用的综合影响;（3）调查城市化和其他关键因素的作用和影响（例如，（a）在缓解日益增长的城市能源需求方面，为针对具体区域的城市能源可持续性战略提供技术支持（技术改进）;以及（4）开发一个关于城市可持续性的新的创新课程，让学生（特别是代表性不足的学生）接触环境科学，以提高他们从事科学事业的兴趣，并让公众和相关利益攸关方参与进来，广泛传播研究结果。本项目旨在通过回答以下基本问题来促进对城市化对建筑能源使用的复合影响的认识和理解：（1）考虑到三个层面的耦合效应，城市化在多大程度上影响建筑能源使用？(2)与其他因素相比，城市化在影响建筑物能源使用方面的相对作用是什么（例如，技术改进）？（3）城市化的影响和作用在空间/区域上有何不同？该模型框架将作为一个原型，将通常独立的方法/模型与情景分析结合起来，探讨城市化影响的复杂问题。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling

• DOI: 10.1038/s43247-021-00273-w
• 发表时间: 2021-09-29
• 期刊: COMMUNICATIONS EARTH & ENVIRONMENT
• 影响因子: 7.9
• 作者: Li, Xuecao;Zhou, Yuyu;Chen, Wei
• 通讯作者: Chen, Wei