Graphing Solar Energy with Python
At Brookhaven National Lab’s Northeast Solar Energy Research Center (NSERC), scientists measure and analyze how much sunlight reaches solar panels to optimize power generation. In this session, students will step into the role of data scientists and learn how to use Python, a programming language, to visualize large sets of solar irradiance data and understand a key metric in real-world solar research.
Vocabulary: insolation, irradiance, latitude, linear graph, photovoltaic, pyranometers
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To request field trip dates, visit https://oepreg.bnl.gov/.
To explore programs listed in the ESBOCES Exploratory Enrichment catalog and to submit a BOCES contract request, please visit BOCES EE – Brookhaven Lab
NYS Learning Standards
New York State Science Learning Standards
| Disciplinary Core Ideas | Crosscutting Concepts | Science and Engineering Practices |
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ESS1.B: Earth and the Solar System ESS2.B: Earth's Materials and Systems |
Patterns Stability and Change |
Analyzing and Interpreting Data Using Mathematics and Computational Thinking |
Next Generation English Language Arts Learning Standards
| Speaking and Listening | Language |
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Comprehension and Collaboration |
Vocabulary Acquisition and Use |
Next Generation Mathematics Learning Standards
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MP2: Reason abstractly and quantitatively MP4: Model with mathematics Statistics and Probability: Summarize and describe distributions Functions: Define, evaluate, and compare functions |
