CRISP Type 2/Collaborative Research: Harnessing Interdependency for Resilience: Creating an "Energy Sponge" with Cloud Electric Vehicle Sharing

CRISP 类型 2/合作研究：利用相互依赖性实现弹性：通过云电动汽车共享创建“能源海绵”

• 批准号: 1637772
• 负责人: Xin Wang
• 金额: $ 87.48万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1637772&HistoricalAwards=false
• 关键词: CRISP; Type; Collaborative; Research; Harnessing

Operating multiple interdependent infrastructure systems is often criticized as posing threats to the resilience of our modern society. However, with a smart system design, it is possible to create a reciprocal, interdependent cross-system interface to cushion local disturbances and decouple inter-system operations. This "sponge service" enhances system resilience by reserving backup resources for all the associated components, and by converting system-specific exclusive resources into system-indifferent, sharable resources. Motivated by the rapidly increasing adoption of electric vehicles (EV) in recent years, this research aims to materialize the sponge service concept based on an EV-sharing cloud. Several aspects of a potential interface between transportation and power systems will be studied by arranging EV fleets in a way that provides interchangeable mobility and energy in a "smart" way. This research will examine hypotheses, generate knowledge, and create a system design and management methodology for such novel energy sponge service, which can dynamically store and transmit energy across transportation and power systems to stabilize operations in both systems. It would have a significant societal impact due to its transformative enhancement of both the energy and transportation sectors, serving as the first domino to start a paradigm shift in the realm of traditional mobility and electricity industry. This shift could drive important behavioral change for both travelers and power providers. In addition, this research will develop novel educational modules and dissemination strategies to inspire future generations and professionals with a vision of building environments that are at once efficient and resilient. Overall, the outcomes from this research are expected to benefit infrastructure system planning and operations practices, meanwhile accelerating society towards long-term sustainability and prosperity.The research objective is to model, test, and validate this energy sponge service that leverages EV-enabled interdependency between power and transportation systems into improved resilience. The project will advance the state of the art in harnessing interdependency to enhance system resilience and enable technology for "energy sponge" systems in four interrelated ways: (i) establishing a socially-aware planning framework for the proposed EV cloud that integrates both vehicle sharing and V2G functions to provide a resilient and economic energy sponge service; (ii) develop an integrated cyber-physical information platform that utilizes large-scale empirical data to predict spatiotemporally-correlated demand trends and fluctuations in real time; (iii) analyze the interactions between demand fluctuations in these two systems and investigate EV cloud operation strategies to enhance inter-system resilience; and (iv) validate the viability and benefits of the proposed EV cloud with a customized emulator test bed integrating the dynamics of all these systems and assimilating empirical data from multiple sources, including lab-based experimental economics.

运营多个相互依存的基础设施系统通常被批评为对我们现代社会的弹性构成威胁。但是，通过智能系统设计，可以创建一个相互依存的跨系统接口来缓冲本地干扰和解除系统间操作。这种“海绵服务”通过保留所有相关组件的备份资源，并将特定于系统的独家资源转换为系统难以共享的可共享资源，从而增强了系统的弹性。近年来，由于电动汽车（EV）的采用迅速采用，该研究旨在基于EV共享云实现海绵服务概念。通过以“智能”方式提供可互换的移动性和能量的方式，将研究运输和电源系统之间潜在接口的几个方面。这项研究将研究假设，产生知识，并为这种新型能源海绵服务创建系统设计和管理方法，该方法可以在运输和电力系统之间动态存储和传输能量，以稳定这两个系统的操作。由于能源和运输部门的变革性增强，这将产生重大的社会影响，这是首个在传统出行和电力行业领域开始范式转变的多米诺骨牌。这种转变可以推动旅行者和电力提供者的重要行为改变。此外，这项研究将开发新颖的教育模块和传播策略，以激发具有立即高效且有弹性的建筑环境愿景的后代和专业人士。总体而言，这项研究的结果有望使基础设施系统计划和运营实践受益，同时将社会加速到长期的可持续性和繁荣。研究目标是建模，测试和验证这项利用EV启用EV的电力互不能在功率和运输系统之间的能源服务，以提高恢复能力。该项目将通过四种相互关联的方式来利用相互依存关系来促进艺术的状态，以增强系统的弹性并为“能量海绵”系统提供技术：（i）为拟议的EV云建立一个具有社会意识的计划框架，以集成车辆共享和V2G功能，以提供弹性和经济能源海绵服务； （ii）开发一个综合的网络物理信息平台，该平台利用大规模的经验数据来预测空间相关的需求趋势和实时波动； （iii）分析这两个系统中需求波动之间的相互作用，并研究EV云操作策略以增强系统间的弹性； （iv）使用定制的模拟器测试床验证提出的EV云的生存力和好处，该床整合了所有这些系统的动力学并吸收了来自多个来源的经验数据，包括基于实验室的实验经济学。

项目成果

Competitive spatial pricing for urban parking systems: Network structures and asymmetric information

• DOI: 10.1080/24725854.2021.1937755
• 发表时间: 2021-06
• 期刊: IISE Trans.
• 作者: Yuguang Wu;Qiaochu He;Xin Wang

Joint infrastructure planning and fleet management for one-way electric car sharing under time-varying uncertain demand

• DOI: 10.1016/j.trb.2019.07.005
• 发表时间: 2019-10-01
• 期刊: TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
• 影响因子: 6.8
• 作者: Hua, Yikang;Zhao, Dongfang;Li, Xiaopeng
• 通讯作者: Li, Xiaopeng

Modeling and monitoring of a multivariate spatio-temporal network system

• DOI: 10.1080/24725854.2021.1973157
• 发表时间: 2021-11
• 期刊: IISE Transactions
• 影响因子: 2.6
• 作者: Di Wang;Fang Li;Kaibo Liu

Flexible parking reservation system and pricing: A continuum approximation approach

• DOI: 10.1016/j.trb.2019.07.006
• 发表时间: 2019-10
• 期刊: Transportation Research Part B: Methodological
• 作者: Xiaotian Wang;Xin Wang

Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand

• DOI: 10.1080/00401706.2019.1704887
• 发表时间: 2020-01
• 期刊: Technometrics
• 影响因子: 2.5
• 作者: Xiaochen Xian;Honghan Ye;Xin Wang;Kaibo Liu