the operation of the electrical power systemin Dominican Republic were used for the simulations in cybersecurity. Some data points weremodified to model an attack condition in the electrical system. MATLAB classification learnertool was utilized to run the simulation. The classifier will train the network. The predictors arethe electrical line current for each phase (A, B, C), the electrical line voltage for each phase (A,B, C) and the energy consumption in kWh. The network is a classification tree type. At the endthe MATLAB tool classify test data into one of two scenarios defined as attack and normaloperation. The step-by-step process of data processing is presented in the appendix A of thispaper.2.3 Methodology for Optimization
m Po sy er N er ri d Si w LE er w Po B/ G w Po SI LAPo Ig AT D M (a) 5 Excellent 4 Average 3 2 Poor
, Bioresource Technology, Proceedings of the Combustion Institute, and Combustion and Flame. She is a member of the ASEE, ASME, and the Algae Biomass Organization. Dr. Shuman served as Chair for the ASEE Energy Conversion and Conservation Division. She received a Dipl. Ing. degree in mechanical engineering from Belgrade University and an M.S.M.E. and a Ph.D. from the University of Washington. She has held the title of Paccar Professor and is an Affiliate Professor at the University of Washington. ©American Society for Engineering Education, 2025 A Project Module in an Upper-division Thermodynamics Course that Addresses EOP Systems ThinkingAbstractEngineering for One Planet
Paper ID #40149Strategic Outreach for Nuclear Workforce Pipeline Development andMaintenance at a Historically Black College University (HBCU)Dr. Antony Kinyua, Morgan State University Dr Kinyua is an Associate Professor of Nuclear Science and currently affiliated to the Physics and En- gineering Physics Department at Morgan State University (MSU) as a Lecturer. He teaches Physics, Engineering Physics and Earth Sciences. He has more than 30 years experience in College teaching and research utilizing Nuclear and Related Analytical Techniques (NRATs) in material analysis, climate and environmental pollution monitoring.Ezana
Black Students in Science, Engineering, and Medicine: Programs,Partnerships, and Pathways: Proceedings of a Workshop. Washington, DC: The National Academies Press.https://doi.org/10.17226/26576.[3] Czerwinski, K., Lim, J., Barzelov, A., Wilson, J., Kinyua, A., Damoah, R., Bensi, M., Growth, K., Johnson,A., Modarres, M., Mirsky S. and Reid, B. (2022). “SUSTAIN: SUpporting Strategic Training of Adaptableand Integrated Nuclear Workforce,” Final Technical Work Scope Identification: IRP-MS-1, Department ofEnergy (DOE), CFA Technical Narrative IRP-22-27567, October 01, 2022, to September 30, 2025.[4] Gierdowski, D. C. (2021). Student Experiences with Connectivity and Technology in the Pandemic.https://www.educause.edu/ecar/research-publications/2021
requirements engineers: An exploration of RE jobs in Canada," in Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018, pp. 1-10.[14] C. Wang, Y. Tang, P. Liang, M. Daneva, and M. van Sinderen, "What industry wants from requirements engineers in China? An exploratory and comparative study on RE job ads," in Proceedings of the 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2020, pp. 1-11.[15] A. Ward, B. Baruah, A. Gbadebo, and N. Jackson, "What do job adverts tell Higher Education about the ‘shape’of Biomedical Engineering graduates?," in International Conference on Advancements of Medicine and
Paper ID #39511Board 91: Work-in-Progress: A Systematic Gap Analysis of the AustralianPower Engineering CurriculumMiss Nisaka Munasinghe, University of New South Wales Nisaka Munasinghe is an enthusiastic undergraduate student at the University of New South Wales. She will be graduating with a Bachelor of Electrical Engineering (Hons), 2023, with her thesis project present- ing research for improvements to the Australian Power Engineering Curriculum. Since 2020, she has been working in construction as a cadet engineer with Sydney Trains, helping deliver and commission railway signalling projects for the NSW transport
depoliticization and meritocracy hinder engineers’ ability to think about social injustices,” Engineering education for social justice: Critical, 2013, [Online]. Available: https://link.springer.com/chapter/10.1007/978-94-007-6350-0_4[4] C. Seron, S. Silbey, E. Cech, and B. Rubineau, “‘I am Not a Feminist, but. . .’: Hegemony of a Meritocratic Ideology and the Limits of Critique Among Women in Engineering,” Work Occup., vol. 45, no. 2, pp. 131–167, May 2018.[5] A. Verma, “Towards Equitable design and development of nuclear energy infrastructure,” Fastest Path to Zero, RISE3 (Research Impacts on Social Equity and Economic Empowerment) Fact Sheet series , forthcoming 2023.[6] Energy Communities Alliance, “Why Local Governments and
, "Automated lithology classification from drill core images using convolutional neural networks," Journal of Petroleum Science and Engineering, vol. 197, 2021.[3] M. Liu and T. Mukerji, "Digital transformation in rock physics: Deep learning and data fusion," The Leading Edge, vol. 41, pp. 591-598, 2022.[4] S. Sattarin, T. Muther, A. K. Dahaghi, S. Negahban and B. Bell, "GeoPixAI: From Pixels to Intelligent, Unbiased and Automated Fast Track Subsurface Characterization," in 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021.[5] J. K. Ali, "Neural Networks: A New Tool for the Petroleum Industry?," in European Petroleum Computer Conference, Aberdeen, United Kingdom, 1994.[6] S
temperature faster than on flat surfaces. Thus, it seems reasonable tosurmise that water's bubble formation behavior on this catalyst closely resembles that ofhydrogen bubble formation on the same surface. While variations in the speed of bubbleformation may occur due to the distinct properties of water vapor and hydrogen gas, thesedifferences are not relevant to the aims of this study. The primary objective here is to develop anexperimental setup, not to measure the actual volume of hydrogen bubbles. (a) (b) Fig. 1 (a) Overall experimental setup, including the heating element (a 3D printer), a camera, a liquid container, and a DAQ system. (b) This shows a zoomed view of a
to keep egg production consistentthroughout the year [8].4. Engineering Design ApproachThe engineering approach for designing and implementing a solar powered automated chickencoop involves a combination of electrical, mechanical, software engineering principles.The design process can be divided into the following phases: a. Chicken Coop Structure: The mechanical aspect of the coop should be carefully evaluated to guarantee its stability, robustness, and the creation of a secure and comfortable habitat for the chickens. The chicken coop has already been constructed by the student author and the next step is to integrate the solar system and automation into the existing structure. b. PV Panel System: The automated chicken
future projectsrequiring difficult-to-obtain extrusion profiles in electrical aluminum. In addition, a third partywho may have the necessary equipment and may be willing to perform the work in this paper cansimply follow the steps for testing laid out herein.Proposed WorkThe proposed test would involve cutting 6061 T6 temper 1.5” thin wall aluminum tube into 2-inch sections. Each aluminum tube should be purchased in one foot long bars and each barshould be labeled with a letter, A-Z, denoting the bar that it was cut from and a number, 1-6,denoting sample # cut from the aluminum so that samples are labeled in the following manner,A-1, A-2, B-1, B-2, etc. All samples should be labeled through stamping or etching so that thelabel is not lost during
. [3] C. Ahnert, D. Cuervo, N. Garcia-Herranz, J. M. Aragones, O. Cabellos, E. Gallego, “E. Minguez, A. Lorente, D. Piedra, L. Rebollo, and J. Blanco, “Education and training of future nuclear engineers through the use of an interactive plant simulator,” in International Journal of Engineering Education, vol. 27, no. 4, pp. 722-732, 2011. [4] U.S. Nuclear Regulatory Commission, “Computer codes,” NRC.gov, 2024. [Online]. Available: https://www.nrc.gov/aboutnrc/regulatory/research/safetycodes.html. [5] P. K. Romano, N. E. Horelik, B. R. Herman, A. G. Nelson, B. Forget, and K. Smith, “OpenMC: a state-of-the-art Monte Carlo code for research and development,” in Annals of Nuclear Energy
to select the generation technologies that they think will best meet the needs and constraints of their own island’s electric grid. Available generation technologies include natural gas, coal, nuclear, solar, and wind. In the second part of this first activity, students are introduced to the concept of energy storage, and they see the benefits that the inclusion of energy storage could have on the electric grid. Specifically, students see how the inclusion of energy storage could allow for increased renewable energy generation due to the variable nature of renewable energy generation. b. The second part of the activity is a hands-on lab that
Education must be designed to prepare clean energy programstudents for energy sector jobs. B. Research Questions and HypothesesThe research questions are as follows "As understood by Clean Energy Education Stakeholders inNew York State: 1. What is the most efficient Clean Energy training/educational method to turn astudent into an employment-ready clean energy technician? And 2. How can career pathways fornew entrants in Clean Energy be made accessible to disadvantaged communities?"Technical training and apprenticeships lie at the intersection of community college training,employment, and workforce development. For engineers, education and work often exist in thequantitative research category. This research used a mixed methods approach
Dec. 2022.[7] Engine Power and Torque Curves. images.cdn.circlesix.co/image/still/uploads/posts/2016/08/58863cb65bd5ff6ed7edb03f4 1 9b51c6.gif.[8] Typical Electric Motor Torque & Power Curves. images.theconversation.com/files/269180/original/file-20190414-76843- 99pwbb.png?ixli b=rb-1.1.0&q=45&auto=format&w=754&fit=clip.[9] yashastronomy. "Arduino based RPM counter with a new and faster algorithm." Arduino Project Hub, 30 Apr. 2020, create.arduino.cc/projecthub/yashastronomy/arduino-based-rpm-counter-with-a-new- and- faster-algorithm-3af9f3.Appendix 1: Data Collection and Analysis [4]
their resources diminish through Hubbert curves overthe years in Figure 4 and with time and how the population grows while the energy demand goesup as shown in Figure 5. a) b)Figure 3. Example student results for the steam power plant analysis: a) net electrical output for asteam power plant with increased pressures and superheated condition and b) the estimated CO 2emissions.Figure 4. Example student results for Hubbert curve modeling the diminished Coal and Methaneon the island plotted with the amount of fuel needed to run the power plants non-stop 365 days ayear to produce the maximum energy output.Figure 5. Example student results for population growth over the years and the expected increasein energy usage. The
institutions.The key point being that it can be done, however, it will require flexibility on the part of bothinstitutions. There were challenges that were experienced by the faculty, program administrators,and students alike, however, these challenges transformed into lessoned learned by all. If there isone great thing that the pandemic has taught everyone, it is that we often must be flexible toachieve our common goals. This course shows that it is certainly possible and that it provides aunique learning experience which teaches desirable skills which are not easily obtainedotherwise.ReferencesOlivares-Ceja, J., Gutierrez-Sanchez, B., Brockmann, P., Kress, A., & Staufer, J. (2017). Project-based learning in an international virtual classroom to
fuel resources: A review and techno-economic analysis," Int J Hydrogen Energy. (2022). https://doi.org/10.1016/J.IJHYDENE.2022.08.202. 4. J.A. Okolie, E.I. Epelle, M.E. Tabat, U. Orivri, A.N. Amenaghawon, P.U. Okoye, B. Gunes, "Waste biomass valorization for the production of biofuels and value-added products: A comprehensive review of thermochemical, biological and integrated processes," Process Safety and Environmental Protection. 159 (2022) 323–344. https://doi.org/10.1016/J.PSEP.2021.12.049. 5. H. He, Q. Li, J. Tang, P. Liu, H. Zheng, F. Zhao, W. Guan, E. Guo, C. Xi, "Study of hydrogen generation from heavy oil gasification based on ramped temperature oxidation experiments," Int J Hydrogen Energy. 48
Paper ID #37748Power Generation Using the BayousDr. Mahmud Hasan, University of Houston-Downtown Strong and diverse teaching, research, industry, and service (department, college, university, and commu- nity level) experience in innovative safety environments. Worked in different multinational engineering companies: McDermott International, Inc., Genesis Oil and Gas (Technip USA Inc.), and Shahjibazar Gas Turbine Power Plant. A licensed Certified Safety Professional (CSP) and Professional Engineer (PE) from two states (Texas and Louisiana). Evidence of scholarship as demonstrated by national and/or inter- national
Paper ID #38144Online Labs and DEI in Introduction to Thermodynamics CourseDr. Teodora Rutar Shuman, Seattle University Professor Teodora Rutar Shuman is the Chair of the Mechanical Engineering Department at Seattle Uni- versity. She is the PI on the NSF RED grant titled ”IUSE/PFE:RED: Revolutionizing Engineering Educa- tion through Industry Immersion and a Focus on Identity.” Her research also includes NOx formation in lean-premixed combustion and electro-mechanical systems for sustainable processing of microalgae. Her work is published in venues including the Journal of Engineering Education, IEEE Transactions on Ed