AE 554 Simulation-Optimization Syllabus, Fall 2006 page 1 Phone: (814) 863-2091 FAX: (814) 863-4789 Prof. Stanley A. Mumma, Ph.D., P.E., Fellow ASHRAE College of Engineering Department of Architectural Engineering 214 Engineering Unit A The Pennsylvania State University University Park, PA 16802-1400 e-mail: [email protected] AE 554, Simulation/Optimization Fall 2006 Dr. S. A. Mumma, P.E. Classes: MWF 10:10-11:00, 203 Sackett References: Design of Thermal Systems, by: W. F. Stoecker Technical Papers, ASHRAE Literature, On Line sources. Course objective: To develop the capacity and tools (not canned programs) necessary to select the optimum solution to the HVAC design challenges. It is so often said, "there are many possible answers to a design problem" that the idea is sometimes conveyed that all solutions are equally desirable. Actually only one solution is the optimum, where the optimum is based on some defined criterion, e.g. cost, size or weight. It is not suggested that a workable system is to be scorned. Obviously, a workable system is infinitely preferable to a nonworkable system. In addition, extensive effort in progressing from a workable toward an optimum solution may not be justified because of limitations in calendar time, cost of engineering time, or even the reliability of the fundamental data on which the design is based. Grading: Class participation 2 hour exams, Final Exam, Sem. Project, Home work 5% 30% 30% 25% 10% AE 554 Simulation-Optimization Syllabus, Fall 2006 page 2 COURSE OUTLINE Introduction and overview, including projects for the semester. Review to equalize footing. About 2 weeks. Developing a working design. i.e. does the current design practice preclude optimization? About 1 week. Investment Economics, to provide basis for optimization objective equations development. About 2 weeks Mathematical modeling, About 3 weeks. 1. with no physical insight 2. with physical insight System simulation, About 3 weeks. 1. developing the set of independent equations 2. solving the set of equations. Optimization, About 3 weeks 1. developing the objective equation. 2. dealing with constraints. 3. practicing the methods: calculus, search, and “programming” Exam 1, about October 9th. Exam 2, about November 6th. Final Exam, Week of Dec. 18-21. Homework, due on Mondays for the prior week’s assignments, except when instructed otherwise. Semester Project: progress reports and final work as instructed.