University at Buffalo via Coursera
This course equips learners to identify national code and zoning rules specific to photovoltaic (PV) systems, as well as key design elements and points for inspection. Curriculum includes zoning variances, critical elements of the permitting process, planning documents necessary for PV system installation and recommendations for permitting offices to streamline the permit process. Learners gain a code inspector’s perspective in relation to building and electrical code requirements.
This course is for anyone interested in entering the solar power sector, and is especially appropriate for building and code inspectors, engineers, HVAC installers and architects. It assumes that the learner has a basic grasp of electrical engineering and mathematical concepts. Those who are unfamiliar with how PV works, the elements of a PV system, and/or solar power ROI should take the first course of the specialization, Solar Energy Systems Overview. Learners seeking a greater understanding of the anatomy and function of PV systems should take the second course, Solar Energy and Electrical System Design.
Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. This is the third course in the Solar PV for Engineers, Architects and Code Inspectors specialization. To learn more about the specialization, check out a video overview at https://youtu.be/XjkKzbXqA6s.
Students will gain an understanding of the many codes impacting solar system design, installation and operation.
Students will review to the types of codes and zoning rules inspectors consider when reviewing PV systems.
Students will explore key PV system design elements and points for inspection.
Students will learn about PV system labeling requirements for small and large systems.
Some points apply to every course of this kind; see how we rank.
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).
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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.
Harvard University · edX
Learn about the Earth, life, and how we can search for life elsewhere in the universe.
