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ME-Green: Manufacturing for Environment by Generating Renewable Energy in Enterprise Networks

ME-Green：通过在企业网络中产生可再生能源来实现环保制造

基本信息

批准号：
1704933
负责人：
Tongdan Jin
金额：
$ 19.93万
依托单位：
Texas State University - San Marcos
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-15 至 2021-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1704933&HistoricalAwards=false
关键词：
ME Green Manufacturing Environment Generating

项目摘要

The goal of this research is to model and design a grid-connected onsite generation system featuring intermittent renewable power to realize zero-carbon industrial operations. Three fundamental questions will be addressed that are confronted by the manufacturing industries: 1) is it economically variable to deploy wind, solar and other green power to achieve energy independency, 2) is it technically feasible to operate a net-zero carbon facility using intermittent power, and 3) can distributed energy resources (DER)actively participate in demand responses by forming a virtual power plant to provide two-way energy flow? To answer these questions, multi-criteria stochastic programming models will be developed to optimize the DER sizing, siting, and maintenance for minimizing energy cost with ensuring reliability, resilience and power quality. Primary DER units include wind turbine, solar photovoltaics, combined heat and power, electric vehicles, and battery banks.The research hypothesis is that that virtually any manufacturing facility around the world could be powered with 100 percent onsite wind and solar power at an affordable cost. This hypothesis will be tested in various locations around the world with diverse climatic conditions. Research activities include analytics, system modeling and optimization, and simulation to address the operational challenges pertaining to power intermittency, voltage stability, demand response, production-inventory schedule, grid resilience, and transportation electrification. This research makes an attempt to seek a zero-carbon energy solution for enterprise systems through the integration of intermittent renewable power. Though onsite generation and microgrids have been adopted by industries, an in-depth study on return-on-investment, loss-of-load risks, and interaction with utility grid is still rare in the literature. Methodologically, a two-stage optimization algorithm will be employed. In stage 1, the sizing and siting of DER units will be optimized. In stage 2, the maintenance policy to minimize the equipment lifecycle cost will be established. A two-stage decision process is able to eliminate inferior solutions in the initial search. In modeling, a probabilistic measure to ensure grid resilience by minimizing the DER and microgrid recovery time against natural disasters or extreme events will be employed. This research is targeted to assist the U.S. manufacturing industry in gaining unprecedented competitive advantages by transforming from power-intensive, carbon producers to environmentally-benign and energy-independent entities.

本研究的目标是建模和设计具有间歇性可再生能源的并网现场发电系统，以实现零碳工业运营。将解决制造业面临的三个基本问题：1）部署风能、太阳能和其他绿色能源以实现能源独立在经济上是否可变；2）使用间歇性电力运营净零碳设施在技术上是否可行；3）分布式能源（DER）能否通过形成虚拟发电厂提供双向能量流来积极参与需求响应？为了回答这些问题，将开发多标准随机编程模型来优化分布式能源的规模、选址和维护，以最大限度地降低能源成本，同时确保可靠性、弹性和电能质量。主要的 DER 装置包括风力涡轮机、太阳能光伏、热电联产、电动汽车和电池组。研究假设是，几乎世界上任何制造工厂都可以以可承受的成本使用 100% 现场风能和太阳能供电。这一假设将在世界各地不同气候条件下进行测试。研究活动包括分析、系统建模和优化以及模拟，以解决与电力间歇性、电压稳定性、需求响应、生产库存计划、电网弹性和运输电气化相关的运营挑战。本研究试图通过间歇性可再生能源的整合，为企业系统寻求零碳能源解决方案。尽管现场发电和微电网已被各行业采用，但对投资回报、负载损失风险以及与公用电网相互作用的深入研究在文献中仍然很少。在方法上，将采用两阶段优化算法。在第一阶段，分布式能源装置的规模和选址将得到优化。在第二阶段，将制定最小化设备生命周期成本的维护政策。两阶段决策过程能够消除初始搜索中的劣质解决方案。在建模中，将采用概率措施，通过最小化分布式能源和微电网针对自然灾害或极端事件的恢复时间来确保电网的恢复能力。这项研究旨在帮助美国制造业从能源密集型、碳生产商转变为环境友好型和能源独立型实体，从而获得前所未有的竞争优势。