Planning IUCRC at Purdue University: Center for Industrial Energy Efficiency (CIEE)

普渡大学工业能源效率中心 (CIEE) 规划 IUCRC

• 批准号: 1822163
• 负责人: Fu Zhao
• 金额: $ 1.5万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822163&HistoricalAwards=false
• 关键词: Planning; IUCRC; Purdue; University; Center

Industrial energy use accounts for about one-third of total U.S. energy consumption. Due to mounting concerns about climate change as well as increasing energy costs, energy efficiency has emerged as a key issue to be considered by enterprises and the global research community. Based on U.S. Department of Energy statistics, 64.4% of energy consumed in the U.S. manufacturing sector is wasted. This suggests that there is a large opportunity to improve industrial energy efficiency through cooperative research between university faculty and industrial companies. This project seeks to establish a plan for a joint Industry-University Cooperative Research Center on Industrial Energy Efficiency between Case Western Reserve University and Purdue University. The vision for the center is to establish a national/international research hub dedicated to advancing the knowledge and techniques needed to improve industrial energy efficiency to enhance the competitiveness of the U.S. manufacturing industry in the global economy and to mitigate the carbon emissions from the U.S. industrial sector. The center also seeks to develop an education program and train an energy savvy workforce while committing to the inclusion of students from underrepresented groups. This planning effort will generate significant potential impacts in terms of research and education at Purdue University.This IUCRC planning project will involve leading manufacturers, utility companies, and industrial organizations to pursue collaborative research with Purdue faculty members on industrial energy efficiency. Novel cooperative projects will be conducted through integrated mathematical modeling and experimental investigations. Specific research goals are: (1) Develop scientific modeling tools and experimental techniques for identifying in-depth energy saving opportunities in industrial operations. (2) Develop applicable control algorithms for effectively reducing the energy consumption in industrial systems. (3) Develop data analytics approaches and decision-support tools to support policy-making and strategic planning on industrial energy efficiency. These research projects can advance the knowledge base of current best practices by identifying substantial energy saving opportunities and developing effective control algorithms and tools integrated with big data analytics for improving the energy efficiency of industrial operations from a systems perspective. The research results produced from the center will lead to a set of novel measures and strategies to improve the energy efficiency of manufacturing systems, enhance the reliability of electric power supply and increase renewable enegy utilization through demand size management, expand the capabilities of the products/services of industrial control/automation products for energy efficiency improvement, and support public policy-making on industrial energy efficiency.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.

工业能源消耗约占美国能源消耗总量的三分之一。由于对气候变化的日益关注以及能源成本的不断增加，能源效率已成为企业和全球研究界需要考虑的一个关键问题。根据美国能源部的统计数据，美国制造业消耗的能源中有64.4%被浪费了。这表明，通过大学教师和工业公司之间的合作研究，有很大的机会提高工业能源效率。该项目旨在为凯斯西储大学和普渡大学之间的工业能源效率联合产学合作研究中心制定计划。该中心的愿景是建立一个国家/国际研究中心，致力于推进提高工业能源效率所需的知识和技术，以增强美国制造业在全球经济中的竞争力并减少美国的碳排放工业部门。该中心还寻求开发一个教育计划，培养一支精通能源的劳动力队伍，同时致力于将来自代表性不足群体的学生纳入其中。这一规划工作将在普渡大学的研究和教育方面产生重大的潜在影响。这一IUCRC规划项目将涉及领先的制造商，公用事业公司和工业组织，与普渡大学的教职员工合作研究工业能源效率。新的合作项目将通过综合数学建模和实验研究进行。具体的研究目标是：（1）开发科学建模工具和实验技术，以确定工业运营中的深度节能机会。(2)开发适用的控制算法，以有效降低工业系统的能耗。(3)开发数据分析方法和决策支持工具，以支持工业能效方面的政策制定和战略规划。这些研究项目可以通过识别大量节能机会并开发与大数据分析相结合的有效控制算法和工具，从系统的角度提高工业运营的能源效率，从而推进当前最佳实践的知识基础。该中心的研究成果将导致一套新的措施和战略，以提高制造系统的能源效率，提高电力供应的可靠性，并通过需求规模管理增加可再生能源的利用，扩大工业控制/自动化产品的产品/服务的能力，以提高能源效率，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。