Multiscale urban modeling and monitoring strategies for urban CO2 reduction

地区一级的零或低碳概念需要对建筑部门的消费、城市废物和水基础设施、能源供应和分配系统以及当地交通运输的能源需求采取综合建模方法。动态建筑性能分析、能量产生和储存(包括废水和废物到能源系统)和基于网络的分布的数学模型需要在从建筑到地区到城市的空间尺度和时间尺度上都具有适应性。虽然在过去的几十年里，已经有大量的关于建筑尺度的能量建模的研究，使用了许多可用的和经过验证的工具，但是仍然需要做大量的工作来解决城市不同部门的联合能量建模问题。 拟议研究计划的长期目标是为可持续和有弹性的城市规划和运营提供一个综合的城市建模和数据分析框架。这一框架要求对城市的主要能源消耗部门进行建模和分析，即建筑环境、网络、城市废物和水基础设施、工商业活动和交通运输。短期研究目标如下： -为城市规模的多尺度应用开发新的数学优化模型和控制策略 -为不同部门的耦合制定综合建模方法 -使用动态数据驱动模型和机器学习进行知识发现，实时监控数据库创建和数据分析框架的开发 --发展智能能源管理系统。 -在不同规模的真实案例研究中测试策略、方法和工具 开源城市数据管理和建模平台的发展目标是创建一个由下一代城市建模人员组成的国际社区，他们在整合跨部门的供应、需求和配电网络电力模型的复杂任务上进行合作。该平台应使开发和集成来自数据、建模或可视化领域的新功能变得容易，并为净零碳城市转型战略做出贡献。

District level zero or low carbon concepts require integrated modeling approaches for the building sector consumption, the urban waste and water infrastructure, the energy supply and distribution systems and the energy requirements from local transport. Mathematical models for dynamic building performance analysis, energy generation and storage including waste water and waste to energy systems and network-based distributions need to be adaptable on both a spatial scale from building to district to the city and temporal scales. While there has been abundant research on building scale energy modeling in the last decades with many available and validated tools, much work is still needed to address combined energy modeling of different sectors in a city. The long-term objective of the proposed research program is to deliver an integrated urban modeling and data analytics framework for sustainable and resilient city planning and operation. Such a framework requires the modeling and analysis of the main energy-consuming sectors in the city, i.e. the built environment, network, urban waste and water infrastructure, industrial and commercial activities and transportation. The short-term research objectives are as follows: - Development of new mathematical optimization models and control strategies for multi-scale applications at the urban scale - Development of integrated modelling approaches for different sector coupling - Real-time monitoring database creation and development of data analytics frameworks using dynamic data-driven models and machine learning for knowledge discovery - Development of smart energy management systems. - Test the strategies, methods, and tools in real case studies of different scales The development goal of an open-source urban data management and modeling platform is to create an international community of next-generation cities modelers that cooperate on the complex task of integrating supply, demand and distribution network electricity models across the sectors. The platform should make it easy to develop and integrate new features from the data, modeling or visualization domain and contribute to net zero carbon city transformation strategies.