CAREER: Evaluating Cooperative Intelligence in Connected Communities
职业:评估互联社区中的合作智能
基本信息
- 批准号:2339497
- 负责人:
- 金额:$ 50.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-09-01 至 2029-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project explores a vision where groups of buildings autonomously cooperate to share energy resources such as solar panels, batteries, or generators. Through multi-agent simulations and real-world experiments, it aims to reveal how cooperation can emerge and persist within self-organizing energy systems, and how it can lead to collective benefits such as energy savings and climate adaptation. By harnessing collective efforts, this work aims to catalyze a shift towards collective infrastructure systems. Beyond its targeted scientific contributions, the project includes an interactive educational program featuring games and simulations fostering public understanding of cooperation as a vital aspect for energy equity and sustainability. The goal is for findings to empower architects, planners, and policymakers with knowledge and tools to design and manage connected communities where buildings share, rather than compete for, energy resources. The project aspires to inspire a new way of thinking about how collective collaboration can create better energy systems.This project will investigate how cooperation can emerge and be sustained among groups of buildings that strategically pool distributed energy resources (DERs) to enhance shared resilience and sustainability. It will establish an interdisciplinary framework to investigate cooperation within multi-agent energy systems. The technical approach synergistically combines reinforcement learning-based control policies, multi-agent simulations, and empirical validation. It seeks to formally model the complex reciprocal interactions underlying cooperative energy behaviors within connected communities. The overarching goal is to elucidate quantitative design principles and policy guidelines that embed cooperative intelligence within engineered, self-organizing architectures to enhance collective resilience and equitable resource allocation. The first thrust of the project involves developing an adaptable simulation testbed to evaluate cooperation trajectories under various energy management schemes, community configurations, and decision protocols. This flexible virtual testbed will enable systematic evaluation of factors that influence emergent cooperation. The second thrust entails an empirical analysis to diagnose how real-world socio-technical elements—from human preferences to technology diffusion asymmetries—shape cooperative outcomes. Grounding insights in data will uncover actionable pathways for implementation. Finally, interactive web platforms and games based on constructivist learning will cultivate public understanding of decentralized systems and cooperative intelligence for equitable and resilient energy access. By integrating insights across technical and social dimensions, this project will inform the design of efficient, effective connected communities and foster sustainable, equitable energy systems. By elucidating strategies for localized sharing and energy management, the project will showcase models of distributed ownership and governance.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.
该项目探索了一种愿景,即多组建筑自主合作,共享太阳能电池板、电池或发电机等能源资源。通过多智能体模拟和真实世界实验,它旨在揭示合作如何在自组织的能源系统中出现和持续,以及它如何导致节能和气候适应等集体利益。通过利用集体努力,这项工作旨在促进向集体基础设施系统的转变。除了有针对性的科学贡献外,该项目还包括一个互动教育项目,以游戏和模拟为特色,促进公众理解合作是能源公平和可持续发展的重要方面。其目标是为建筑师、规划者和政策制定者提供设计和管理互联社区的知识和工具,在这些社区中,建筑共享能源,而不是竞争能源。该项目旨在启发一种新的思维方式,思考集体合作如何创造更好的能源系统。该项目将调查如何在战略上汇集分布式能源资源(DER)以增强共享弹性和可持续性的建筑群之间如何出现和维持合作。它将建立一个跨学科框架,以调查多主体能源系统内的合作。该技术方法协同结合了基于强化学习的控制策略、多代理模拟和经验验证。它寻求对互联社区内合作能源行为背后的复杂互惠互动进行正式建模。首要目标是阐明量化设计原则和政策指导方针,这些原则和政策指导方针将合作智能嵌入到工程设计的自组织架构中,以增强集体复原力和公平的资源分配。该项目的第一个推力涉及开发一个可适应的模拟试验台,以评估在各种能源管理方案、社区配置和决策协议下的合作轨迹。这一灵活的虚拟试验台将能够对影响紧急合作的因素进行系统评估。第二个重点需要进行实证分析,以诊断现实世界的社会技术因素--从人的偏好到技术扩散的不对称性--如何塑造合作成果。扎根于数据中的洞察力将揭示实施的可行路径。最后,基于建构主义学习的互动网络平台和游戏将培养公众对分散系统和合作智能的理解,以实现公平和有弹性的能源获取。通过整合技术和社会层面的见解,该项目将为设计高效、有效的互联社区提供信息,并促进可持续、公平的能源系统。通过阐明本地化共享和能源管理的战略,该项目将展示分布式所有权和治理的模型。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Philip Odonkor其他文献
Characterizing effective building clusters: An extensive study on diverse cluster composition, distributed energy resource utilization, and energy performance
表征有效的建筑群:对不同的集群构成、分布式能源资源利用以及能源性能的广泛研究
- DOI:
10.1016/j.apenergy.2025.125376 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:11.000
- 作者:
Gregory Kaminski;Philip Odonkor - 通讯作者:
Philip Odonkor
An Energy Cost Optimization Model for Electricity Trading in Community Microgrids
社区微电网电力交易的能源成本优化模型
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Nafiseh Ghorbani;Philip Odonkor - 通讯作者:
Philip Odonkor
Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters
自适应能源优化,实现净零能耗建筑集群
- DOI:
10.1115/1.4033395 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Philip Odonkor;K. Lewis;Jin Wen;Teresa Wu - 通讯作者:
Teresa Wu
Data-Driven Design of Control Strategies for Distributed Energy Systems
分布式能源系统控制策略的数据驱动设计
- DOI:
10.1115/1.4044077 - 发表时间:
2019 - 期刊:
- 影响因子:3.3
- 作者:
Philip Odonkor;K. Lewis - 通讯作者:
K. Lewis
Addressing social vulnerability in community microgrids: an equity-centered peer-to-peer electricity trading model
解决社区微电网的社会脆弱性:以公平为中心的点对点电力交易模式
- DOI:
10.1145/3563357.3567832 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Nafiseh Ghorbani;Danielle Preziuso;Philip Odonkor - 通讯作者:
Philip Odonkor
Philip Odonkor的其他文献
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{{ truncateString('Philip Odonkor', 18)}}的其他基金
Collaborative Research: Sizing Up Physical Computing to Explore Threshold Concepts in Cyber-Physical Systems
协作研究:评估物理计算以探索网络物理系统中的阈值概念
- 批准号:
2302787 - 财政年份:2023
- 资助金额:
$ 50.94万 - 项目类别:
Standard Grant
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