Reports
Data Analysis & Linear Waves, Energy Systems & Sensitivity Analysis,
System Identification, Statistical Process Control (6σ ), and Lean
Ocean Wave Experiment
At the end of a Data Analysis & Experimental Methods course, my team and I were asked to independently design an experiment, execute that experiment, analyze the data, and present our findings in a mock scientific conference. Our experiment aimed to compare Linear Wave Theory with real waves we created in a flume (a long and skinny water tank). Below is a poster describing the preliminary results, and the full written report.
Poster for Data.pdfNote: We made a mistake in one of the graphs. Can you spot it?
Final_Paper_Data_Analysis.pdfFor a quick overview, just check out the images and figures
Sustainable Energy System Modeling
In Fall 2018 I took a course on Sustainable Energy. In this class we modelled the performance and economics of energy systems. My final project modelled the energy output of a utility-scale photo-voltaic solar power plant. The economics of the power plant were also modeled to give an estimated $/kwh, and then we applied a sensitivity analysis using the @Risk program in Excel. Sensitivity analysis is a way of finding what factors influence the outputs of a model the most. For example, we found that the clearness of the sky had one of the most significant impacts on the cost of electricity.
Energy Final Project_preRisk.xlsxThis Excel model can be downloaded if you click on the link
Energy_Final_Project.pdfWe were very rushed to write this report. Forgive us for any low-quality diagrams and or writing mistakes.
System Identification
Below is a lab report from my System Dynamics class. In this lab we experimentally found the frequency response function of an RC circuit. This lab is awesome because it demonstrates a powerful method for modeling a complex system without knowing any of its internal components or parameters. It also involved some MATLAB code I was particularly fond of.
Lab_7_Report.pdfStatistical Process Control & Lean
I learned the basics of Statistical Process Control (SPC) in a course on manufacturing in Fall 2018. SPC is a technique used in manufacturing to ensure products are consistently made within specifications by tracking trends in their quality over time . Lean is used to make manufacturing, or anything, more efficient. Below is a homework in which I practiced applying SPC and Lean.
Manufacturing_HW4_forProfes.pdf.pdf