IDR-Collaborative Research: The impact of green infrastructure on urban microclimate and energy use

IDR-合作研究：绿色基础设施对城市微气候和能源使用的影响

• 批准号: 1134580
• 负责人: Eric Pardyjak
• 金额: $ 75.77万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1134580&HistoricalAwards=false
• 关键词: IDR; Collaborative; Research; impact; green

1134580/1133590 Pardyjak/WillemsenLarge-scale simulation science will be used to investigate the impact of green infrastructure projects on urban energy use and microclimate. Green infrastructure projects come in many forms including the development of parks, alteration of building rooftops, and the use of novel asphalt and concrete materials for streets and parking lots. They all share the common goals of reducing energy usage, mitigating pollution emissions and improving the urban microclimate. Due to difficulty in simulating the large disparity in length scales (m to km), little is known about their impact. An interdisciplinary team will utilize a suite of computationally based strategies to bridge these scales and improve understanding of how green infrastructure interacts with the urban environment at local (neighborhood), city, and meso- scales. Specifically, how the distribution of heat, moisture and pollutants can be effected will be investigated. The PIs hypothesize that large-scale simulation science can be used to find optimal green infrastructure designs. The complex interaction between urban form and green infrastructure will be investigated and strategies to guide future projects will be developed. To adequately resolve the fundamental transport processes that govern the distribution of heat, water vapor and pollutants across a wide range of scales will require petascale computing. A new urban fluid dynamics and mass transport simulation code inside of a massively parallel computational framework (Uintah) capable of taking advantage of the largest computing platforms will be implemented. This simulation tool will be combined with mesoscale simulations to produce high-resolution (on the order of 1 m) simulations of the urban core with realistic atmospheric forcing conditions. Mesoscale simulations will also be combined with an extremely fast-running GPU based urban microclimate and dispersion tool to optimize the design of green infrastructure projects based on different criteria (e.g., energy usage, space). The target simulation scenario is a full diurnal cycle of Oklahoma City during the Joint Urban 2003 field campaign, with high fidelity physics, resolving physical effects at length scales ranging from ~1m to 1000?s km. This target scenario takes advantage of the extensive datasets from Oklahoma City taken during the field experiment allowing for detailed validation. These simulation tools will aid urban planners in developing useful and unique strategies for the designing and implementation of green infrastructure projects. To ensure this, work with urban planners will continue throughout the model development process. The data from the high-resolution simulations will be made available in an archival form to other researchers working on urban meteorology applications. These data will span an unprecedented range of scales and have a detailed representation of the physical processes. The data are anticipated to be useful for a wide range of model development and theoretical work outside the scope of this project. In addition, included is a substantial outreach component at both collaborating universities designed to introduce American Indians, Alaskan Natives, and other minorities to simulation science and environmental engineering. Students will be invited to a weeklong interactive learning symposium during each of the three years of the project. In addition, this project will provide interdisciplinary training in the atmospheric, engineering, computer and social sciences for graduate students and post-doctoral researchers through collaborative research activities and from involvement in the Global Change and Ecosystem Center at the University of Utah.

1134580/1133590 Pardyjak/Willemsenlarge-Scale Simulation Science将用于研究绿色基础设施项目对城市能源使用和微气候的影响。绿色的基础设施项目有多种形式，包括公园的发展，建筑屋顶的改变以及使用新颖的沥青和混凝土材料用于街道和停车场。他们都共享减少能源使用，减轻污染排放和改善城市微气候的共同目标。由于难以模拟长度尺度（M至km）的较大差异，因此对它们的影响知之甚少。跨学科的团队将利用一套基于计算的策略来弥合这些量表，并提高人们对绿色基础设施与当地（社区），城市和中间规模的城市环境相互作用的理解。具体而言，将如何研究热，水分和污染物的分布。 PI假设大规模模拟科学可用于寻找最佳的绿色基础设施设计。将研究城市形式与绿色基础设施之间的复杂互动，并将制定指导未来项目的策略。为了充分解决控制热量分布的基本运输过程，水蒸气和污染物在各种尺度上都需要佩斯卡尔计算。 将实施一个新的城市流体动力学和大众传输模拟代码，内部将实施能够利用最大计算平台的大规模平行计算框架（UINTAH）。该仿真工具将与中尺度模拟结合使用，以产生具有逼真的大气强迫条件的城市核心的高分辨率（按1 m）模拟。中尺度模拟还将与基于GPU的非常快速的城市微气候和分散工具相结合，以根据不同的标准（例如能源使用，空间）优化绿色基础设施项目的设计。目标模拟方案是俄克拉荷马城2003年联合野外运动期间的一个完整昼夜周期，具有高富达物理学，可以在〜1m至1000 km的长度上解决物理效果。该目标方案利用了俄克拉荷马城的广泛数据集，在实地实验中进行了详细验证。这些仿真工具将有助于城市规划人员制定有用的独特策略，以设计和实施绿色基础设施项目。为了确保这一点，与城市规划人员合作将在整个模型开发过程中继续进行。高分辨率模拟的数据将以档案形式提供给其他从事城市气象应用的研究人员。这些数据将跨越前所未有的量表，并具有物理过程的详细表示。预计数据将对该项目范围之外的广泛模型开发和理论工作有用。此外，包括旨在将美洲印第安人，阿拉斯加原住民和其他少数民族介绍模拟科学与环境工程的合作大学中，包括大量的外展成分。 在项目的三年中，将邀请学生参加为期一周的互动学习研讨会。此外，该项目将通过协作研究活动以及犹他大学全球变化和生态系统中心的参与，为研究生和博士后研究人员提供大气，工程，计算机和社会科学的跨学科培训。