Conference Session

Miscellaneous Topics in Energy Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Faruk Yildiz, Sam Houston State University; Keith L. Coogler, Sam Houston State University

Tagged Divisions

Energy Conversion and Conservation

solar path finder are shown in Figure 3. Page 24.364.6Figure 3. Solar path calculator systemThe Solar Pathfinder™ is located at the proposed array site, leveled, and oriented to true southwith the built-in compass and bubble level. (The compass reading may require adjustment formagnetic declination.) Looking straight down from above, the user observes reflections from thesky superimposed on the sun path diagram and traces the outlines of any obstructions onto thediagram. Students draw shading areas in different locations and identify obstructions around thesolar modules. Students are required to submit a detailed report with suggestions for the

Conference Session

Renewable Energy in Classroom

Collection

2014 ASEE Annual Conference & Exposition

Authors

Omonowo David Momoh, Indiana University Purdue University, Fort Wayne

Tagged Divisions

Energy Conversion and Conservation

of electric power system in the U.S.The evolution of the electric power regulations reflecting various energy policy acts up until theEnergy Policy Act of 1992 that opened the way for the emergence of competitive marketsotherwise known as electric power industry deregulation are discussed. The gradual transformationof the electric power grid network from the vertically integrated to horizontally integratedinfrastructures is covered. Modeling of renewable energy resources as distribution generations(DGs) and how deregulation has facilitated the integration of renewable energy sources to thetraditional grid network via DGs are presented in this module. Also covered are the challengesfacing deregulation and how they can be mitigated.3. Course

Conference Session

Miscellaneous Topics in Energy Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jaime Ramos-Salas P.E., University of Texas, Pan American; Jesus Alejandro Valladares, The University of Texas Pan American

Tagged Divisions

Energy Conversion and Conservation

Page 24.1297.9Reference [12]. The scatter plot shown in Fig. 7 reflects the condition of the local atmosphereduring selected months of 2013. The main characteristic of the graph is the dispersion of data 8 v7into three zones, arbitrary labeled “clear”, “overcast” and cloud/sunny” January is the most extremist of the months as it has clear and overcast skies The days in April are quite variable, and therefore unpredictable. July’s days are mostly clear as well as cloudy/sunny October’s days are quite similar to July’s

Conference Session

Renewable Energy in Classroom

Collection

2014 ASEE Annual Conference & Exposition

Authors

Radian G. Belu, Drexel University (Tech.); Richard Chiou, Drexel University (Eng. & Eng. Tech.); KETKI GHAISAS, Drexel University; Tzu-Liang Bill Tseng, University of Texas, El Paso

Tagged Divisions

Energy Conversion and Conservation

solar radiationHOMER synthesizes solar radiation values for each of the 8760 hours of the year. Its algorithmsproduces realistic hourly data, being easy to use, requiring only the latitude and the monthlyaverages, while displaying realistic day to day and hour to hour patterns. The synthetic data arecreated with certain statistical properties that reflect global average value. However, generateddata for a particular location will not exactly replicate the characteristics of the real solarradiation. But tests show that synthetic solar data produce virtually the same simulation results asreal data. HOMER synthetic wind data generator is little different to use than the solar data as itrequires four parameters, in order to generate wind statistics

Conference Session

Renewable Energy in Classroom

Collection

2014 ASEE Annual Conference & Exposition

Authors

Muhittin Yilmaz, Texas A&M University, Kingsville; Naren Reddy Dhansri, TAMUK

Tagged Divisions

Energy Conversion and Conservation

real wind speed values at whichthe wind turbine motor shaft rotates. The given wind speed will be the reference speed to themotor system, i.e., the presumed wind speed will be converted to a reference voltage to drive themotor. The presumed wind turbine PMDC generator is connected to the presumed wind turbinemotor, rotating at the same speed and generating corresponding voltage values. The teams weregiven the following concept questions during the actual laboratory and were asked to include thecorresponding answers in their technical laboratory report: Q) Investigate the wind turbine mathematical equations, explain the variables affecting the power & voltage generation, and introduce another parameter to reflect real-life

Conference Session

Electrical Energy Courses - Labs and Projects

Collection

2014 ASEE Annual Conference & Exposition

Authors

Tan Ma, Florida International University; Osama A. Mohammed, Florida International University; Brandy Louie Serrano, Florida International University

Tagged Divisions

Energy Conversion and Conservation

towirelessly control power flow in a hybrid AC-DC power system. The methodologyencompasses numerous educational aspects that teach the undergraduate student a myriadof engineering concepts, all essential to his/her success as an engineer. Upon completingthis methodology with the instructor, the student will have been introduced to powerelectronics concepts such as microgrids, plug-in electric vehicles, power flow, anddevices such as bidirectional converters. The student has also familiarized themselveswith the fundamentals of Matlab Simulink and has gained a greater understanding ofmicrocontrollers and how they can be utilized to control power electronics devices on abasic level. The student should be able to reflect on all of these new and