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Displaying all 5 results

Design of a Massively Open Online Course on Electrical Microgrids with Real Datasets

Conference Session
Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 3
Collection
2023 ASEE Annual Conference & Exposition
Authors
Roxana Maria Melendez-Norona, Florida Atlantic University; Maria Mercedes Larrondo-Petrie, Florida Atlantic University; Eduardo David Sagredo Asesor, Ministerio Energia y Minas Dom. Rep.
Tagged Topics
Diversity
Tagged Divisions
Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion
SimulationsThe algorithm for microgrid optimization using the Q-learning [8] reinforcement learningtechnique was developed in MATLAB for the purpose of simulating the electrical microgridoptimal performance. The goal is to optimize the power flow in the network using the Q-learningtechnique. The microgrid configuration includes an islanded mode of operation, with aphotovoltaic array as a renewable power source and a diesel generator as the conventional powersupplier. The battery storage is available as well as a dumping load. Cost per kW, batterycapacity, size of diesel generator, learning rate, among others can be mentioned as theparameters that might be modified to test the algorithm. Real datasets associated with solarradiation [9] and electrical
Relevance Score: 0.06611099

Motor Augment for Automotive Applications

Conference Session
Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 2
Collection
2023 ASEE Annual Conference & Exposition
Authors
Bala Maheswaran, Northeastern University; Wendao LI; Adam Ma, Northeastern University; Kalsang Tsering
Tagged Topics
Diversity
Tagged Divisions
Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion
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]
Relevance Score: 0.020193035

Spreadsheet-Based Application Integrated with Virtual Reality for Teaching Economic and Environmental Assessment of Subsurface Gasification for Hydrogen Production

Conference Session
Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jude Okolie, University of Oklahoma ; Emma Kadence Smith, University of Oklahoma
Tagged Topics
Diversity
Tagged Divisions
Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion
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
Relevance Score: 0.020193035

Board 90: Core Feature Extraction with Computer Vision

Conference Session
Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Poster Session
Collection
2023 ASEE Annual Conference & Exposition
Authors
Salvador A. Vargas, California State University, Bakersfield; Daniel Torres, California State University, Bakersfield; Alberto Cureg Cruz, California State University, Bakersfield
Tagged Topics
Diversity
Tagged Divisions
Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion
neural network," in Neural networks for perception, Academic Press, 1992, pp. 65-93.[14] Z. Zhang, "Improved adam optimizer for deep neural networks," in IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 2018.[15] A. Krizhevsky, I. Sutskeyer and G. E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," Communications of the ACM, vol. 60, no. 6, pp. 84-90, June 2017.[16] K. He, X. Zhang, S. Ren and J. Sun, "Deep Residual Learning for Image Recognition," in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016.[17] G. Huang, Z. Liu, M. Laurens Van Deer and K. Q. Weinberger, "Densely Connected Convolutional Networks," in 2017 IEEE
Relevance Score: 0.017668905

Identifying the Needs of Electric Power Industry through Online Job Ads: A Mixed-methods Approach

Conference Session
Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
Huiye Yu, UNSW Sydney; Hua Chai, University of New South Wales; Jayashri Ravishankar, University of New South Wales
Tagged Topics
Diversity
Tagged Divisions
Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion
Relevance Score: 0.0126206465