CRISP Type 1/Collaborative Research: Sustainable and Resilient Design of Interdependent Water and Energy Systems at the Infrastructure-Human-Resource Nexus

CRISP 类型 1/合作研究：基础设施-人力资源关系中相互依赖的水和能源系统的可持续和弹性设计

• 批准号: 1638334
• 负责人: Weiwei Mo
• 金额: $ 25.29万
• 依托单位: University of New Hampshire
• 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 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638334&HistoricalAwards=false
• 关键词: CRISP; Type; Collaborative; Research; Sustainable

During the last decade, a transition in the water and energy supply paradigm has emerged in many places across the nation and the world. Increasing efforts have been made to integrate decentralized and alternative water and energy systems, such as rainwater collection, greywater recycling, and solar energy systems, into the existing centralized networks (i.e. electrical grid, municipal water supply system). While such integrations could potentially increase the resilience of our water and energy supplies to natural and man-made security threats, decentralized systems often lack economies of scale and hence could present increased environmental and socioeconomic costs depending on technologies and geographic locations. Without careful planning and design of such integrations and enough adoption, they could cause unintended consequences such as over-production, conflicts in resource acquisition, and an overall greater use of resources. Planning and design involves great complexities at multiple scales from individual preferences/choices to water energy systems nexus. This project applies expertise in the areas of computer science/computational sustainability, economics, infrastructure systems analysis, and life cycle assessment in a manner that develops new knowledge of these complexities in an area of critical national need. The work informs decision makers about possible outcomes and tradeoffs in different decentralized water and energy adoption scenarios. The project facilitates the planning and design of decentralized systems, and informs policy development to create more sustainable (lower environmental impacts) and resilient (able to recover from disruption) infrastructure systems for urban communities. This project aims to develop understanding and knowledge of complexities behind the integration of centralized and decentralized water and energy systems under future demographic, climate, and technology scenarios in pursuit of resilience and sustainability. This research uses survey instruments to characterize individual preferences (utility functions) related to (de)centralization of water and energy infrastructure systems; a crowdsourcing platform for time-effective stakeholder engagement and response collection; a spatial agent-based model to develop spatially explicit adoption trajectories and patterns in accordance with utility functions and characteristics of the major metropolitan case study locations; a system dynamics model that considers interactions among infrastructure systems, characterizes measures of resilience and sustainability, and feeds these back to the agent based model; and a cross-scale spatial optimization model to understand and characterize the possible best-case outcomes and to inform design of policies and incentive/disincentive programs. Combined, these methods provide a robust capacity to consider the ways in which future development of energy and water resources can be more or less resilient, have fewer or greater environmental consequences, meet differential demands of human populations, and result in greater or lesser overall resource use. Boston and Atlanta are the testbeds for the modeling framework developed through this project.

在过去的十年中，水和能源供应模式的转变已经出现在全国和世界各地的许多地方。已作出越来越多的努力，将分散的和替代的水和能源系统，如雨水收集、中水回收和太阳能系统，纳入现有的中央网络（即电网、市政供水系统）。虽然这种整合可能会增加我们的水和能源供应对自然和人为安全威胁的适应能力，但分散的系统往往缺乏规模经济，因此可能会增加环境和社会经济成本，具体取决于技术和地理位置。如果没有对这种集成进行仔细的规划和设计并充分采用，它们可能会导致意外的后果，例如生产过剩，资源获取冲突以及资源的整体使用。规划和设计涉及从个人偏好/选择到水能源系统关系的多个尺度的巨大复杂性。该项目应用计算机科学/计算可持续性，经济学，基础设施系统分析和生命周期评估领域的专业知识，在国家急需的领域开发这些复杂性的新知识。这项工作为决策者提供了关于不同分散式水和能源采用情景的可能结果和权衡的信息。该项目促进了分散系统的规划和设计，并为政策制定提供信息，为城市社区创造更可持续（降低环境影响）和更有弹性（能够从中断中恢复）的基础设施系统。该项目旨在了解和了解未来人口、气候和技术情景下集中式和分散式水和能源系统整合背后的复杂性，以追求复原力和可持续性。这项研究使用调查工具来描述个人偏好与水和能源基础设施系统的集中化（去集中化）相关的（效用函数）;一个众包平台，用于高效的利益相关者参与和响应收集;基于空间代理的模型，用于根据效用函数和主要大都市案例研究地点的特征开发空间上明确的采用轨迹和模式;一个系统动力学模型，考虑基础设施系统之间的相互作用，表征弹性和可持续性的措施，并将这些反馈给基于代理的模型;和一个跨尺度的空间优化模型，以了解和表征可能的最佳情况下的结果，并告知政策和激励/抑制计划的设计。这些方法相结合，提供了一个强大的能力，以考虑未来的能源和水资源的发展可以或多或少的弹性，有更少或更大的环境后果，满足不同的人口需求，并导致更多或更少的整体资源使用的方式。波士顿和亚特兰大是通过该项目开发的建模框架的测试平台。

项目成果

Spatially optimized distribution of household rainwater harvesting and greywater recycling systems

家庭雨水收集和灰水回收系统的空间优化分布

• DOI: 10.1016/j.jclepro.2021.127736
• 发表时间: 2021
• 期刊: Journal of Cleaner Production
• 影响因子: 11.1
• 作者: Stang, Shannon;Khalkhali, Masoumeh;Petrik, Marek;Palace, Michael;Lu, Zhongming;Mo, Weiwei
• 通讯作者: Mo, Weiwei

A Spatial Life Cycle Cost Comparison of Residential Greywater and Rainwater Harvesting Systems

住宅灰水和雨水收集系统的空间生命周期成本比较

• DOI: 10.1089/ees.2020.0426
• 发表时间: 2021
• 期刊: Environmental Engineering Science
• 影响因子: 1.8
• 作者: Maskwa, Rebecca;Gardner, Kevin;Mo, Weiwei
• 通讯作者: Mo, Weiwei

Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus

相互依赖的水和能源系统的可持续和弹性设计：解决基础设施-人力资源关系复杂性的概念模型框架

• DOI: 10.3390/su10061845
• 发表时间: 2018
• 期刊: Sustainability
• 影响因子: 3.9
• 作者: Mo, Weiwei;Lu, Zhongming;Dilkina, Bistra;Gardner, Kevin;Huang, Ju-Chin;Foreman, Maria
• 通讯作者: Foreman, Maria

Decentralized water collection systems for households and communities: Household preferences in Atlanta and Boston

• DOI: 10.1016/j.watres.2019.115134
• 发表时间: 2019-12-15
• 期刊: WATER RESEARCH
• 影响因子: 12.8
• 作者: Lu, Zhongming;Mo, Weiwei;Foreman, Maria Christina
• 通讯作者: Foreman, Maria Christina

The water-energy nexus at water supply and its implications on the integrated water and energy management

供水中的水-能源关系及其对水和能源综合管理的影响

• DOI: 10.1016/j.scitotenv.2018.04.408
• 发表时间: 2018
• 期刊: Science of The Total Environment
• 影响因子: 9.8
• 作者: Khalkhali, Masoumeh;Westphal, Kirk;Mo, Weiwei
• 通讯作者: Mo, Weiwei