students who decided to attend the STEM summer camp, their mostfavorite subjects were math and science.Forming the teamsIn order to motivate students, they were divided into two groups. The students were informedthat there would be a competition between two teams. Each activity had a certain score. Table 1was used to track the scores by the instructor and the students in each team. Table 1: The score-sheet for the competition between two teams Experiment Max Score Score - Team A Score - Team B Electricity Usage Monitor 5 Voltage and current measurements 10 Alternative Energy Conversion Kit 10 Solar photovoltaic cell experiments 15 Solar car race
this project.References1. Mizdail, B. E., “First Year Engineering Experience with Project Centered Research,” Proceedings of the American Society for Engineering Education Middle Atlantic Section, Spring 2010.2. Snyder, G. J. “Small Thermoelectric Generators,” The Electrochemical Society Interface, Fall 2008.3. http://en.wikipedia.org/wiki/Thermoelectric_effect4. http://www.marlow.com/products/thermoelectric-modules/single-stage/rc12-4-01.html5. http://www.linear.com/product/LTC31086. “Basic Calculation of a Boost Converter’s Power Stage,” Texas Instruments Application Report, SLVA372B, available online: http://www.ti.com/lit/an/slva372b/slva372b.pdf7. http://www.ti.com/lit/ds/symlink/lm2936.pdf8
part of an initiative called “Greening the Fleet.” This year, a solar-powered charging system was installed in the Facilities Building to power these campus vehicles sustainably. In addition, IIT has recently launched a program with B-Cycle to introduce bike sharing to the IIT Main Campus. The program allows B-Cycle members to use shared bicycles for an unlimited number of two-hour rides. Recycling and Reusing - IIT has placed recycling infrastructure in every campus building . We significantly enhanced our recycling program by launching of the addition of composting, increased engagement with the IIT community, improved signage on multi-stream collection bins and initiation of a full waste audit,. In
relevant transducers at key locations in the system. Figure 2demonstrates, in schematic form, the working principles of the system. Figure 2 Schematic of the hydraulic hybrid test stand. Figure 3 Current status of the hydraulic hybrid vehicle test stand.An additional document has been prepared which details, to the students, the exact workings ofthe test stand. This document shall serve as a reference for the students as they are becomingfamiliar with the system and is supplied in Appendix B. The document includes data sheets thatcan be printed out as well as an inventory of each component of the system such that the studentscan acquire any necessary data from the manufacturers or the operating manuals. The
implemented with a computer equipped with DAQ board. Data obtained from DAQboard are pre-processed and sent to the upper levels of the application by a software componentdeveloped in LabVIEW, MATLAB and Interactive Data Language (IDL). The access to systemis through our university course management website, via proper identification. The access isopen to all students or users enrolled in the renewable energy and sustainability courses. Page 23.602.8Figure 1 Architecture of the systemAn important part of the system is represented by software development. Software developmentis based on: a) data acquisition and conditioning; b) data storage and
AC 2010-2059: DESIGN OF A LABORATORY EXPERIMENT TO MEASUREFUEL CELL STACK EFFICIENCY AND LOAD RESPONSEJoshua Goldade, University of North Dakota Josh Goldade is originally from Velva, a small town in western North Dakota. Upon graduation from Velva High School in 2002, Josh enrolled at the University of North Dakota to major in electrical engineering. In the spring of 2005, Josh left for Sweden to study abroad for a year. After returning to the U.S., he continued on the path towards his Bachelor’s degree at UND. In the summer of 2007, Josh took a six-month cooperative education position at Daktronics in Brookings, SD, and he returned to Daktronics for another summer internship in 2008. Josh
the entire class. This course supports the achievementof the following outcomes: a) an appropriate mastery of the knowledge, techniques, skills andmodern tools of their disciplines; and b) an ability to apply current knowledge and adapt toemerging applications of mathematics, science, engineering and technology. For course topicaloutline, see Table 1.Table 1: Topical Outline Week Topic 1 Introduction, Conventional Energy Provision Systems; Review Basic Electric and Magnetic Circuits; 2 Fundamental of Electric Power; Power System Components 3 Basic of Renewable Energy Supply; Passive Utilization of Solar Energy 4 Distributed Generation 5 Wind Energy Conversion
-electric.com/[9] H. Moghbelli, et al, “Investigation of Solar Energy Applications with Design and Implementation of Photovoltaic Traffic Light Signal System for Qatar (Student Project)”, UREP 4-17-71 Technical report, QNRP, Oct. 2008.[10] „Global wind energy council (GWEC) global wind 2007 Report- Second Edition‟, May 2008. http://www.gwec.net/fileadmin/documents/test2/gwec-08-update_FINAL.pdf[11] http://www.climate.org/2002/topics/green/wind.shtml[12] Robert B. Schainker,, Executive Overview: Energy Storage Options for a Sustainable Energy Future”, IEEE Power Engineering Society General Meeting, 2004, USA, Vol. 2, pp. 2309-2314.[13] Hiren Patel and Vivek Agarwal, Maximum Power Point Tracking Scheme
series of checkpoints werefacilitated throughout the term to monitor student progress and create inflection points forfeedback, from both students and faculty. The specific methodologies utilized in each group areas follows:Group 1 was a class of 11 junior students taking the course “Materials for Renewable EnergyApplications.” These students were introduced to the QFT through a class exercise (AppendixA), utilizing the title of the class as the Question Focus. Students were divided into threesubgroups, A, B, and C, of three to four students to generate questions. Each subgroup selectedtheir priority questions; then the whole class classified the priority questions according tocommon themes. As a follow-up, students were assigned homework giving
400 0 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 [m\s] Figure 19 : Power from varying Resistive Loads (Ampair® UW100), units in Ohms Power as a function of Velocity and Resistance Power = a+b*V+c*V^2+d*V^3+e*R+f*R^2+g*R^3 (V=Velocity and R=Resistance) 120 100 80 100‐120 [Watts] 60
) Gillespie, Thomas D., Fundamentals of Vehicle Dynamics, Society of Automotive Engineers, 1992.2) http://www.epa.gov/nvfel/methods/uddscol.txt accessed on 1/17/08.3) Pourmovahed, A., Beachley, N.H., and Fronczak, F.J., “Modeling of a Hydraulic Energy Regeneration System – Part I: Analytical Treatment,” J. of Dynamic Systems, Measurement, and Control, March 1992, vol. 114, pp. 155 – 159.4) Wu, B., Lin, C-C., Filipi, Z., Peng, H., and Assanis, D., “Optimal Power Management for a Hydraulic Hybrid Delivery Truck,” Vehicle System Dynamics, 2004, vol. 42, nos. 1-2, pp. 23-40. Page 13.50.16
AC 2009-1871: APPLICATIONS OF A REAL-TIME DIGITAL SIMULATOR INPOWER-SYSTEM EDUCATION AND RESEARCHAnurag Srivastava, Mississippi State University Anurag K. Srivastava received his Ph.D. degree from Illinois Institute of Technology (IIT), Chicago, in 2005, M. Tech. from Institute of Technology, India in 1999 and B. Tech. in Electrical Engineering from Harcourt Butler Technological Institute, India in 1997. He is working as Assistant Research Professor at Mississippi State University since September 2005. Before that, he worked as research assistant and teaching assistant at IIT, Chicago, USA and as Senior Research Associate at Electrical Engineering Department at the Indian Institute of Technology
AC 2009-2044: AN UNDERGRADUATE ANALYSIS OF TWO DIFFERENTPHOTOVOLTAIC MODULE TYPES: A COMPARISON COMPLETED FOR ANINDUSTRIAL AFFILIATEPeter Mark Jansson, Rowan UniversityUlrich Schwabe, Rowan UniversityKevin Bellomo - Whitten, Rowan UniversityJonathan Bucca, Rowan University Page 14.210.1© American Society for Engineering Education, 2009 UNDERGRADUATE ANALYSIS OF TWO DIFFERENT PHOTOVOLTAIC MODULE TYPES : A COMPARISON COMPLETED FOR AN INDUSTRIAL AFFILIATEAbstractRowan University is committed to giving its undergraduate students an early experience in realworld situations. Through the participation of Industrial affiliates Rowan University is
Management Tools”, ASEE Annual Conference Proceedings, 2005.4. Nathan G. Adams, “Industry-University Collaboration on Under-Graduate Engineering Design Projects an Industrial Mentor’s Perspective”, ASEE Annual Conference Proceedings, 2003.5. Workforce Trends in the Electric Utility Industry: A Report to the United States Congress Pursuant to Section 1101 of the Energy Policy Act of 2005, U.S. Department of Energy, August 2006, Online: http://www.oe.energy.gov/DocumentsandMedia/Workforce.6. S. Midturi, S. B. Pidugu, “Energy Workforce Training, Future Need, and Projections”, Online: http://txspace.tamu.edu/bitstream/handle/1969.1/5655/ESL-IE-06-05-37. James N. Peterson, “Experiences in Capstone Design Projects: Partnerships with Industrial
Paper ID #16953Student Project to Develop a Neural Network-based State of Charge Indica-tor for Primary BatteriesDr. Herbert L. Hess, University of Idaho, Moscow Herb Hess is Professor of Electrical Engineering at the University of Idaho, where he teaches subjects in He received the PhD Degree from the University of Wisconsin-Madison in 1993. His research and teaching interests are in power electronics, electric machines and drives, electrical power systems, and analog/mixed signal electronics. He has taught senior capstone design since 1985 at several universities.Dr. Edward James William Jr, Solved Engineering LLC Dr
tutorial. Quick Test 2: Motor Model Circuit Calculations These variables are defined so that the Mathcad units system will work with the motor equations. They are used throughout the book. rpm := 1 pole := 1 Ω := ohm A three phase, 10 hp, 60 Hz, six pole, wye connected 240V induction motor is modeled in Figure 2. It has the following circuit parameters: R1 := 0.294 ⋅ Ω X1 := 0.453 ⋅ Ω f := 60 ⋅ Hz R2 := 0.139 ⋅ Ω X2 := 0.189 ⋅ Ω Xm := 12.79 ⋅ Ω Using the method described above find: a.) the motor stator current magnitude and phase shift b.) the rotor current when the machine has a shaft speed of 1176
tosave an estimated annual total of energy around 8 MWh. This estimated saving is calculatedaccording to the local utility company rate charges. The outcomes of the project are a) power andeconomy b) environmental c) educational and community outreach, and d) research.IntroductionEducation and training of workforce of Iowa in renewable energy applications have become asignificant factor. Although having technicians with AAS degrees in electromechanical andwind technology areas may address the wind industry’s workforce needs in the short term,having a skilled technical workforce with a BS degree in EET with an emphasis on advancedwind power projects such as variable wind speed and frequency issues, turbine generator testing,troubleshooting, data
calculated in solar time; the latter are obtained in standard time. Reference [19] offers a variety of methods to calculate the clear-sky irradiance. We have chosen one due to B. Harwitz, due to its simplicity. ∑ [ ] = (2) ∑ [ ] Given CI, Equation (1) allows the calculation of the energy, in W-h, collected by theinstrument during one day. The index k runs over the number of time intervals (minutes) = 960from 4 AM to 8 PM, in the day. This variability index is a measure of the variability of solar radiation, which is
; Watton, A. (2006, June), Teaching Improved Methods Of Tuning And Adjusting Hvac Control Systems. Paper presented at 2006 Annual Conference & Exposition, Chicago, Illinois. https://peer.asee.org/784.7. Field, B., & Ellert, D. (2010, June), Project Based Curriculum For Thermal Science Courses. Paper presented at 2010 Annual Conference & Exposition, Louisville, Kentucky. https://peer.asee.org/16734.8. Ross, S., & Giordano, P., & Blanck, J., & Johnson, D., & Jansson, P. (2004, June), Undergraduate Research On Sustainability: Campus Energy Analysis And Building Lighting Audits. Paper presented at 2004 Annual Conference, Salt Lake City, Utah. https://peer.asee.org/13316.
linear approximation of the data was used for future calculations. (a) Driver Side View (b) Passenger Side View (c) Support SystemFigure 3: Friction Testing 1/3 Scale Ford Model-T Friction Estimate y = 0.6853x + 10.439 25 Torque at Wheel [Nm] 20 15 10 5 0 0 2 4 6 8 10 12 14 16 18 20 Vehicle
, 2003.28. N. Mohan, Power Electronics: A First Course, Wiley, 2011.29. D.W. Hart, Power Electronics, McGraw Hill, 2011 (ISBN: 978-0-07-338067-4).30. R. Shaffer, Fundamentals of Power Electronics with MATLAB, Charles River Media, Boston, MA, USA, 2007.31. P. T. Krein, Elements of Power Electronics (2nd ed.), Oxford University Press, 2015.32. R.G. Belu, Power Electronics and Controls for Photovoltaic Systems, Handbook of Research on Solar EnergySystems and Technologies (Eds: Dr. Sohail Anwar, Dr. Salahuddin Qazi, and Dr. Harry Efstathiadis), IGI, Global,pp. 68-125, 2012 (DOI: 10.4018/978-1-4666-1996-8.ch004).33. S. M. Sharkh, M. A. Abu-Sara, G. I. Orfanoudakis, and B. Hussain, Power Electronic Converters forMicrogrids, Wiley-IEEE Press, 2014.34. R
AC 2007-1995: ENHANCING LIFELONG LEARNING AND COMMUNICATIONABILITIES THROUGH A UNIQUE SERIES OF PROJECTS INTHERMODYNAMICSMargaret Bailey, Rochester Institute of Technology MARGARET BAILEY, registered professional engineer, is the Kate Gleason Chair and Associate Professor in Mechanical Engineering at RIT. She earned her BSE at Pennsylvania State University in 1988 and her Ph.D. at University of Colorado at Boulder in 1998. She conducts research with students using advanced thermodynamic analyses and neural network modeling applied to various, energy-intensive, complex mechanical systems. Dr. Bailey serves in numerous leadership roles within her college, including Executive Director of RIT’s Women
) (b)Figure 2. The Experimental Wind Turbine Emulation System a) Block Diagram, and b) Major Components Page 24.840.7 Figure 3. The Wind Turbine Shaft Speed Characteristics By using the bold font for the important experimental and software execution as well assafety options, the teams were asked to implement the following steps to obtain the wind turbineemulation experimental setup: • Make sure to bring the Matlab code (from the pre-lab analysis) to satisfactorily implement the wind turbine characteristics of Fig. 3, • Start Matlab and change its workspace directory path to C
whole system composed of: PLC, VFD, three phase motor, motor starters, relays, contactors, transducers, weather station, and Ethernet communication system. Experimental investigation of several alternatives (a) the power factors, inductive reactance and resistance for the fan motor, as a function of the frequency, (b) the electrical power measured for different value of the frequency, Development of a better understanding as to how each of the above factors impact the energy consumption, Development of appropriate and novel methods to design and to analyze the control of ventilation system, Quantitative estimation of the energy saving potential in practical applicationsMost importantly
Paper ID #11122Power Engineering Day-a way to attract high school students from underrep-resented groups to consider careers in electric powerDr. Lisa Shatz, Suffolk University Associate Professor at Suffolk University In Electrical Engineering. PI of NSF SSTEM grant, Electrical Engineering Scholars at Suffolk. Work with the Power Industry to put an emphasis on electric power in our curriculumDr. Timothy A Poynton, University of Massachusetts Boston Dr. Timothy Poynton is an associate professor in the Department of Counseling and School Psychology in the College of Education and Human Development at the University of
questions. The average gradingof such exam are shown in Table 3. One or multiple exam questions were associated with eachlearning objective, permitting that learning objective to be measured by direct assessment. Thepoints scored per question were converted to a percentage scale and then to an “A” through “F”scale, using the traditional grade assignments. Table 3 shows the breakdown of letter gradesreceived for each exam question. The equivalent class GPA is shown for each question, based ona 4.0 scale.Direct assessment provides the most accurate measure of a student’s knowledge in a givencourse. In this course, less than 50% of students were able to have a grade of “A”. The other 50%are subdivided between “B”, “C”, “D”, and “F”. One student was
learning objective to be measured by directassessment. The points scored per question were converted to a percentage scale and then to an “A”through “F” scale, using the traditional grade assignments. Table 7 shows the breakdown of letter gradesreceived for each exam question. The equivalent class GPA is shown for each question, based on a 4.0scale.Direct assessment provides the most accurate measure of a student’s knowledge in a given course. In thiscourse, about 50% of students were able to have a grade of “A”. The other 50% are subdivided between“B” and “C”. Some students were not able to answer the questions successfully, obtaining grades of “F
AC 2010-677: A GREEN TECHNOLOGY COURSE IN A COMMUNITY COLLEGEPaul Chanley, Northern Essex Community CollegeMichael Pelletier, Northern Essex Community CollegeLinda Desjardins, Northern Essex Community CollegeLori Heymans, Northern Essex Community College Page 15.36.1© American Society for Engineering Education, 2010 A Green Technology Course in a Community CollegeAbstractThis paper describes a Green Technology course taught for the first time in 2009 and two briefsummer bridge programs offered at a community college in 2008 and 2009.The summer bridge programs were organized around the theme of the generation of electricityfrom renewable sources and provided an
Oilseeds / Donald B. Brooker, Fred W. Bakker-Arkema,Carl W. Hall. Springer. 1992. 1st edition. Pages 395-401, 419-429.11) The Mechanics and Physics of Modern Grain Aeration Management / Shlomo Navarro andRonald Noyesm. CRC Press. 2001. 1st edition. Pages 197-247.12) Managing Stored Grain: To Preserve Quality and Value / Carl R. Reed. Amer Assn of CerealChemists. 2006. 1st edition. Pages 154-156.13) A Simulation Toolset for Modeling Grain Storage Facilities / Luis C. Silva, Daniel M. Queiroz,Rolando A. Flores, Evandro C. Melo. Elsevier: Journal of Stored Products Research. 2011.
Paper ID #9625A Multidisciplinary Design and Analysis for a Green Roof InstallationDr. Brandon S Field, University of Southern IndianaDr. Kerry S Hall, University of Southern Indiana Kerry Hall teaches civil engineering materials and structural engineering at the University of Southern Indiana, Evansville. Page 24.74.1 c American Society for Engineering Education, 2014 A Multidisciplinary Design and Analysis for a Green Roof InstallationAbstractA