can also beapplied to other disciplines to identify the demand of the evolving job markets to produce job-ready graduates in the relevant areas.1 Introduction The Australian Government has committed to an ambitious new target of reducinggreenhouse gas emissions to 43% below the 2005 level by 2030 and achieving net zero by 2050[1]. Decarbonizing the electricity sector has become one of the most important and mostefficient pathways to facilitate the Australian economy’s transition to net zero [2]. AustralianEnergy Market Operator (AEMO) has planned a rapid transformation for the NationalElectricity Market (NEM), where the energy generation and consumption profile would changeprofoundly given the expanding renewable energy integration [3
course, course topics, the term project, midtermassessments & checkoffs, and the final project.IntroductionPower systems analysis is a field that tightly couples engineering, mathematics, and computerscience. The key to accurate and insightful analysis is having accurate power systems modelswhich require accuracy in all three of these fields [1]. Many power systems analysis courses focusa great deal on the engineering and mathematics side but do not focus as much on the computerscience aspect. Instead, a simulator is used which this capable of performing the algorithms whichsolve for the power flowing through the equipment (transmission lines and transformers) or thecurrents experienced when a fault occurs. Courses taught using [2] as the
various types of typical financing structures for solarenergy systems, though these were less common in existing courses. The paper summarizes theseoutcomes with a proposed set of learning objectives that encompasses these highlight areas andthat could form the backbone of an undergraduate course on solar energy engineering.Introduction Climate change poses a serious threat to the status quo of human activity on the planet.Changes to typical weather patterns and the frequency of severe weather events that alreadyoccur are being attributed to climate change [1]. Evidence points to human production ofgreenhouse gases as the primary cause of these changes [1]. In response to these issues,governments have developed action plans that aim to
greatly depending on conditions, the gravity of the economic andlabor impact caused by solar panel installation, and the importance of data collection and preciseinstrumentation to ensure their collected results reflected accurate recommendations.IntroductionClimate change is a prevalent global issue, as well as for the United States Coast Guard (USCG).With CO2 emissions increasing by 28 percent in just one year, there has been a notable shift inefforts toward finding a solution [1]. This is especially important for the USCG given that the 11USCG missions are heavily impacted by the environment, meaning that changes in the climatecan drastically affect the responsibility of assets across the US. With these considerations,renewable energy sources
[1]. Declining costs are expected to continue [2], [3] and further promote thistransition. Solar energy represents a contribution towards such a transition and is a major growtharea for energy generation in the United States. The Inflation Reduction Act, passed in summerof 2022, has allocated hundreds of billions towards clean energy incentives [4] that will stimulategrowth of renewable energy in general, including solar photovoltaics (PV). The Department ofEnergy estimates that the US will need 1,600-3,000 GW of total installed solar capacity by 2050to meet climate goals [5]. Reaching this amount would necessitate quadrupling the currentannual solar deployment rate. Growth in solar jobs to meet these needs is already happening [6]and is
, doping, etching multiple layers,etc. The hands-on laboratory segment of the course provides students with a unique opportunityto work in a modern, clean room and physically perform the complex processes required todevelop MEMS wafers from scratch.As another assignment in this course, groups of students are expected to develop novel devicesthat utilize microsystem components for a particular application. This course segment requiresstudents to design, fabricate, test, and document a novel design in an application, which is energyharvesting in this paper. There are publications from similar course projects performed in thepast [1-6]. At the conclusion of this course, students are provided with a comprehensiveunderstanding of the practical
responses are analyzed to identify the need for shortcourse programs and the effectiveness of such training programs in expanding the knowledgebase and upskilling power systems engineers in modeling and simulation. The survey includesboth Likert scale questions (quantitative) and open-ended questions (qualitative), which areanalyzed using a mixed-method approach. Additionally, the responses from the industryprofessionals are compared with the ones from the students to investigate the differencebetween various target groups. The results show that 1) Simulation practice and studiesimprove participants’ competence not only in the use of the software package but also in theassociated knowledge in the field systematically, e.g., power system modeling
for enhancing student participation, engagement, and retentionin engineering courses.In conclusion, the energy conversion course is a vital component of mechanical engineeringeducation, which plays a critical role in attracting undergraduate students towards pursuinggraduate studies in this field. The use of innovative teaching techniques can significantly enhancestudent participation, engagement, and retention in this course, which can ultimately lead toincreased interest in pursuing advanced studies in mechanical engineering.The energy conversion course was novel in several ways, as outlined below.1) Firstly, the course was taught in a unique manner that involved design and analysis problems, individual and group projects, and invited
. 2019 [1] showed that very few programs offerlabs in Thermodynamics courses. Our program has integrated experimental design into somethermodynamic laboratories to strengthen students’ understanding of fundamental concepts. OurIntroduction to Thermodynamics course requires students to learn basic yet complicatedconcepts, such as determining properties of pure substances, calculating heat and workexchanged during a process, and the first and second laws of thermodynamics before undertakingcomplex applications such as thermodynamic cycles or combustion systems. These basicconcepts are conducive to simple, conceptually oriented laboratory assignments and are an idealplace to have students design an experiment. The learning gains made by switching
protocol where charging speed is balanced with lifespan preservation. The CC-CVcharging protocol uses the battery’s voltage level as an indicator to apply a constant current forbulk charging or constant voltage for low current trickle charging. Finally, temperaturemanagement such as pack cooling and heating would keep the battery pack in ideal temperatureconditions to promote cyclic lifespan. Figure 1: Initial Diagram Brainstorming [1] From the beginning of this project, our group was extremely ambitious. We wanted toexplore the lengths we could take this idea. We brainstormed different strategies for the buildof a hybrid. At first, we wanted to convert a car to a hybrid, but we soon realized that this wasfar beyond
least the 1960s [1]. This work continues with the advent ofE-Learning systems [2]. There are numerous platforms for grading and student assessment list in[3]. This paper uses these concepts in grading of lab assignments for electric machinery.Literature SearchA search of the ASEE PEER Document Repository system for “Automated Grading MotorLabs” yielded 434 results. None of these appeared to directly relate to electric machinerylaboratory assignments. For example in [4], the author discusses grading an embedded systemsand microcontrollers lab, but not electromechanical devices; whereas in the authors’ focus in [5]is on flipped classrooms.Creating the Forms in Adobe AcrobatIn Adobe Acrobat Pro there is a feature that allows you to create forms
generated. However, if the subsurface is nothomogeneous, it is difficult to generate a representative data set with lab analysis done at one-foot intervals. This is a void that artificial intelligence can fill. More specifically, a properlytrained neural network can perform a continuous analysis on high-resolution core images fromtop to bottom. It is also important to note that geologic interpretation tied to core analysis canintroduce human error and subjectivity. Here too, a properly trained neural network can generateresults with extreme levels of accuracy and precision. One core analysis expert believes that coreanalysis done manually is flawed about 70% of the time [1]. This flawed analysis can result fromlack of experience and or a lack of
and redesigned in powerengineering courses to adequately prepare a workforce that benefits the global energy transition.1. Introduction The Australian energy sector is expected to make substantial changes to the way itincorporates renewable energy into existing power systems as part of global efforts to reducecarbon emissions outlined by the Paris Agreement [1]. To meet these commitments, Australiahas pledged to reduce emissions by 43% below 2005 levels by 2030. Achieving these targetsrequires a new set of skills to build, test, and maintain upgraded electrical infrastructure andtechnology that revolves around renewables. Despite allocation of resources and fundingtowards universities and professional training programs, Australia currently
our academic abilities (suchas important physics principles), this final project was effective in strengthening key engineeringskills such as following the engineering design process to create a product, working with a teamof other engineers, and presenting technical, quantitative, and qualitative data professionally.Introduction and BackgroundWater wheels and hydropower date back to the ancient Greeks and Romans, but the first waterturbine was created in the 19th century.[1] Water turbines are mainly used in hydroelectric powerplants, with famous examples being the Three Gorges Dam in China and the Itaipu Dam on theborder of Brazil and Paraguay.[2] [3] [4] However, the growing push for renewable energy sourceshas popularized hydropower past
method for determining the torque-speed curve of a wound-rotorinduction machine. Historically, induction machines have primarily been motors. As such, thecurrent method for determining a torque-speed curve uses the squirrel-cage induction machine asa motor to drive a DC generator acting as a load as illustrated in Figure 1. Conventional testingof the machine is performed in this fashion and has long been documented in IEEE Standards.[1]When a wound rotor induction machine is configured with two voltage sources, its applicationmay be as a Doubly Fed Induction Generator (DFIG). This is how we have configured a woundrotor machine as part of a Type III wind turbine simulation test bed as illustrated in Figure 2.The wound rotor machine is connected
integration.Aside from lectures, the course relies heavily on project-based learning. The students are dividedinto teams to propose, design, and implement realistic, hands-on projects. When there is anopportunity for a large-scale project such as Project 1 discussed in this paper, the entire classparticipates with sub-disciplines organized around a specialty such as structural design or electricalinterconnect of solar energy with the local utility. Safety and NEC (National Electrical Code)compliance are also discussed to satisfy course objectives. In summary, the class project ismanaged to mirror real world project implementation treating the class as design-build entity andsub-groups as sub-contractors. During the implementation phase of the project, the
Engineering Analysis course at the Engineering Technology (ET)department in the University of Houston – Downtown (UHD). Furthermore, to the best of theauthors’ knowledge, this is the first reported work where bayou water is used for powerproduction which is an inexpensive way to produce power.Keywords: Power, Bayou, Houston, Turbine, No head.1. Introduction: For most of the modern age, people have been getting most of the energy from coal, gas, andother types of fossil fuels. While people have used other forms of power generation, there hasbeen a substantial movement to find and use other forms of power generation where windturbines being the most well-known example. This work looks for alternate power generationthat has led to look at what
their children in STEM activities and nuclear science programs. These activities haveresulted in deeper, sustained student engagement and understanding of mitigating factors that ourstudents face and need to be addressed to enhance a nuclear workforce pipeline at an HBCU.IntroductionIn the USA, Historically Black Colleges and Universities (HBCUs) continue to award a largeshare of bachelor's degrees to African American students in Science, Technology, Engineering,Arts and Mathematics (STEAM). HBCUs are also the baccalaureate origins of one-quarter toone-third of black science and engineering (S&E) doctorate recipients [1]. However, as shownby the National Science Foundation data [2] for college aged population (18-24 years), blackstudents
. Finally, a list ofsuggested supporting classes and training is provided for other institutions interested inestablishing such a laboratory.1) Introduction: Lawrence Technological University (LTU) established a Li-ion cell assembly and testingresearch laboratory in collaboration with Intecells, Inc., a start-up Li-ion battery equipmentprocessing company. This collaboration started in November of 2019, and continued into 2023.This laboratory is an active on-campus research laboratory, and is currently not used foracademic activities. No classes are taught at this time in this lab. Formal education classes maybe possible with this laboratory in the future as additional funding is secured. However, limitedfunding does not currently permit this
EngineeringPostdoctoral Fellowship eFellows program, administered by the American Society ofEngineering Education (ASEE), funded by the National Science Foundation (NSF). The MOOCis planned to be offered as a free resource for the community. The real datasets used for theCybersecurity simulations will be available in an Open Science website.1. Introduction1.1 MOOCs in Electrical MicrogridsElectrical microgrids are denominated as a fundamental building block of electrical powersystems. The US Department of Energy has expressed that multiple efforts will be made with theaim of making microgrids an important element as part of the electricity delivery system,increasing its resilience and reliability [1].Massive Online Open Courses (MOOCs) represent a powerful tool
. The module enables students to explore fundamentalconcepts such as water electrolysis fundamentals, fuel cell characterization, solar power generationparameters and effects, and wind turbine parameters and operation. The developed learning frameworkand virtual reality experiential module targets students of different learning styles. Virtual Realitytechnology enables faculty to use multisensory teaching tools to enhance student comprehension andmotivation to learn. The end-goal of these transformative immersive teaching instruments is to offerstudents improved means of exploration of fundamental notions of the topics studied, leading to apersonalized and optimized learning in a subject matter [1], [2], [3], [4].The paper is presenting the