Pan American Advanced Studies Institute on Process Modeling and Optimization for Energy and Sustainability; Brazil; July 12-22, 2011

这一泛美高级研究院(PASI)奖由美国国家科学基金会和能源部(DOE)联合支持，将于2011年7月12-22日在巴西举行。由威斯康星大学麦迪逊分校的Christos Maravelias博士组织的PASI将专注于最先进的过程建模和优化方法及其在能源和可持续发展方面的应用。随着能源使用量的增加、常规能源的减少及其对生态系统的潜在影响，有必要制定与环境和能源相关的可持续解决方案。该研究所将由讲座、研讨会和计算机教程组成，旨在提供对这些具有挑战性问题的过程建模和优化方法的概述。该领域的顶尖研究人员以及来自行业和政府的代表将发表演讲和举办研讨会。参与者将来自西半球的几个国家，包括研究生和博士后研究人员。来自美洲各政府机构、化学工业和大学的额外杠杆资金将反映这一活动对国际研究界的重要性。专注于最先进的过程建模和优化方法，强调方法和应用程序之间的协同作用，将吸引不同的学生群体，并在教育和研究网络方面提供独特的全球体验。在结束时，PASI将确定未来的教育和研究机会，描述应对新兴技术的挑战，并使初级和高级研究人员之间能够建立联系和进行讨论。PASI的预期成果包括：1)审查实地的基本方法及其在新的研究领域的应用；2)对关键的计算机辅助工具进行实践培训；3)讨论应用于可持续性的过程建模和优化方面的新概念和新方法；4)建立网络并交流想法和研究经验的论坛。PASI的结果将通过一个虚拟图书馆传播，其中将包含演示文稿、教育材料、软件和练习。

This Pan-American Advanced Studies Institutes (PASI) award, jointly supported by the NSF and the Department of Energy (DOE), will take place on July 12-22, 2011 in Brazil. Organized by Dr. Christos Maravelias of the University of Wisconsin Madison, the PASI will focus on the state-of-the-art methodologies for process modeling and optimization and their application to energy and sustainability. With the augmentation of energy usage, the decrease of conventional energy sources and their potential effects on ecosystems, there is a need to create sustainable solutions associated with the environment and energy. This Institute will consist of lectures, seminars and computer tutorials designed to provide an overview of process modeling and optimization approaches to these challenging problems. Leading researchers in the field as well as representatives from industry and government will contribute lectures and seminars. Participants will be drawn from several countries of the hemisphere and will include graduate students and postdoctoral researchers. Additional leveraged funding from various government agencies, chemical industries, and universities from the Americas, will reflect the importance of this activity to the international research community. A focus on state-of-the-art methods for process modeling and optimization, emphasizing synergy among methodologies and applications, will attract a diverse student body and provide a unique, global experience in education and research networking. At its conclusion, the PASI will identify future education and research opportunities, describe challenges in addressing emerging technologies, and enable networking and discussions between junior and senior researchers. Expected outcomes of this PASI include: 1) review of fundamental methods of the field and their application to new areas of research; 2) hands-on training for key computer-aided tools; 3) discussion of emerging concepts and approaches in process modeling and optimization as it applies to sustainability; and, 4) a forum for network building and exchange of ideas and research experiences. The results from the PASI will be disseminated through a virtual library that will contain presentations, educational materials, software, and exercises.