General Lab Information

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Graphing Solar Energy with Python

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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

Session Information
  • 1-hour session, times are flexible
  • One class per session, maximum 30 students per class
  • Can book multiple activities in one day
  • $460 per session (BOCES-aidable)

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

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

Comprehension and Collaboration
Presentation of Knowledge and Ideas

Vocabulary Acquisition and Use

Next Generation Mathematics Learning Standards

MP2: Reason abstractly and quantitatively

MP4: Model with mathematics

Statistics and Probability: Summarize and describe distributions

Functions: Define, evaluate, and compare functions