Solar Energy System Design builds upon the introduction to PV systems from Solar Energy Basics course, which included basic system components and functions, as well as some basic system sizing using simplifying assumptions. You should at this point have a basic understanding of electrical power and energy, be able to calculate the energy needs of a site as well as energy production potential for a PV system at a given location under optimal conditions. Much of this course will focus on incorporating on the ground conditions into energy production considerations, and how to account for these conditions in system design and equipment selection. By the end of this course you should be able to incorporate losses in irradiance due to array setups with less than optimal positioning and/or shading, and account for variations in module output due to temperature variations in your system design.
Welcome to the first module of Solar Energy System Design. In this module, you will be revisiting the solar resource in a bit more depth than the Solar Energy Basics course. This will entail looking more closely at some of the properties of sunlight, and what happens to that light as it travels fro…
We will now look closer at the circuits and electrical characteristics of modules and arrays. In Solar Energy Basics, you used module spec sheets to calculate power using voltage and current. In this module, you will be using those module specifications again, and looking at how the different volta…
You calculated photovoltaic system sizes and outputs in Solar Energy Basics based on available insolation. Those insolation values were always based on the assumption of the array being set up at optimal conditions. On-the-ground conditions can often result in variations from the optimal design for…
In the last content module of the course you will be working on equipment selection and system sizing. The previous modules on array siting, irradiance variability, temperature effects, shading losses, and circuit design will all come into play when you are designing a system. Additionally, you wil…
The capstone project of this course will entail applying much of what you have learned in this course. You will need to design a PV system using commercially available components and calculate it's output under site specific conditions. You will have to account for the available solar radiation and…
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The State University of New York is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (72/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which invol…
Harvard University · edX
This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Instructor: David Perreault View the complete course: https://ocw.mit.edu/courses/6-622-power-electronics-spring-2023 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62UTc77mJoubhDELSC8lfR0 6.622 covers modeling, analysis, design, control, and application of circuits for energy c…
Harvard University · edX
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS. The course introduces the fundamentals of the…
