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|---|---|---|---|
Applications of Python Programming in Solar PV Energy. (Course Duration: 11 Hours)
5.0 (4 ratings)
Language: English
Instructors: Karthik M. Bhat (IIT Bombay)
Why this course?
Solar Energy Industry is likely to be worth USD 140 Billion by 2023, having said that, it is indeed a great canvas to innovate, compete and earn a fortune. With the huge diversified demand of clean energy, it is impossible to cater energy demand of a variety of customers without right skill over exclusive technology. With this approach we have come up with this unique course Python in PV, which includes basics of Solar PV Energy as well as Python programming from zero to advanced.
The Python in PV course offers information that is beneficial to those aspiring to pursue a field in solar PV technology. It will cover the basics of Solar PV technology, Python programming language, and applications of Python programming in Solar PV Plant Design, Installation, Maintenance and monitoring, with some real-time case studies.
Enrolling for this course will propel you further in your career with an exclusive know-how of 'How to make tasks/processes easier and more smart in Solar PV Technology after your learning from this course.
Course Refund Policy -
Policy: Students are eligible to file a 'Request for Refund' with us within seven days of the course purchase with a maximum course content consumption of 15%. Remember both the criteria should be matched in order to make your refund request successful. After 7 days or exceeding the course content consumption above 15%, you will not be entitled to get any refund from us.
Deductions: There are no deductions on the fees refund, if a student meet the above eligibility criteria.
Partial Refunds: Unfortunately we do not offer partial refunds as of now
| Course Overview | |||
| Course Structure Introduction | |||
| Solar Energy Basics | |||
| Introduction to Solar Energy (12:00) | |||
| Lecture 1 Quiz | |||
| Electromagnetic Spectrum and Sunlight Characteristics (25:00) | |||
| Lecture 2 Quiz | |||
| Properties of Sunlight and Spectral Ir-radiance (9:00) | |||
| Lecture 3 Quiz | |||
| Solar Radiation and its properties (19:00) | |||
| Lecture 4 Quiz | |||
| Semiconductor and Materials (21:00) | |||
| Lecture 5 Quiz | |||
| Semiconductor Conduction (27:00) | |||
| Lecture 6 Quiz | |||
| PN Junction and Diode Equations (35:00) | |||
| Lecture 7 Quiz | |||
| Solar PV Cells Operations (39:00) | |||
| Lecture 8 Quiz | |||
| Solar PV Cell Design (31:00) | |||
| Lecture 9 Quiz | |||
| Manufacturing of Silicon Solar Cells (22:00) | |||
| Lecture 10 Quiz | |||
| PV Module Design and Manufacturing (22:00) | |||
| Lecture 11 Quiz | |||
| Understanding Solar Module Datasheets and Alternative PV Module Designs. (28:00) | |||
| lecture 12 Quiz | |||
| Modules and Arrays (26:00) | |||
| Lecture 13 Quiz | |||
| Basics of Python Programming | |||
| Introduction to Python programming (26:00) | |||
| Lecture 14 Quiz | |||
| Comments, Operators, Functions & Loops in Python (24:00) | |||
| Lecture 15 Quiz | |||
| Strings, Lists and Dictionaries in Python Programming (17:00) | |||
| Lecture 16 Quiz | |||
| Python Library Packages and Programming with Matplotlib Python Library. (34:00) | |||
| Lecture 17 Quiz | |||
| Python Pandas and Numpy (15:00) | |||
| Lecture 18 Quiz | |||
| Applications of Python in Photovoltaic | |||
| Solar PV Module Axis Tracking (35:00) | |||
| Lecture 19 Quiz | |||
| GHI And POA Using Python (28:00) | |||
| Lecture 20 Quiz | |||
| Solar Radiation data plotting in different sets. (21:00) | |||
| Lecture 21 Quiz | |||
| Single diode equation to find FF, efficiency, IV curve of cell (19:00) | |||
| Lecture 22 Quiz | |||
| Calculating PV plant or module IV curve | |||
| Lecture 23 Quiz | |||
| PV module parameter extraction and STC correction method | |||
| Lecture 24 Quiz | |||
| Complete SCADA data analysis from solar power plant & A case study on 'GW scale power plant' | |||
| Lecture 25 Quiz | |||
| Assignment - Python in PV | |||
| Additional CODE References | |||
| IV curve plot of solar module - SAMPLE CODE | |||
| Plotting Different Irradiation and Temperatures - SAMPLE CODE | |||
| Typical code for Any data which present in Excel | |||
| Hands-On Projects | LIVE Session recordings | |||
| Project 1, Part 1 (Backend): Programming a Solar PV plant size calculator using area as an input with Python programming. | |||
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