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/.

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	Patterns Cause and Effect	Asking Questions and Defining Problems Analyzing and Interpreting Data Using Mathematics and Computational Thinking

Disciplinary Core Ideas

Crosscutting Concepts

Science and Engineering Practices

ESS1.B: Earth and the Solar System

Patterns

Cause and Effect

Asking Questions and Defining Problems

Analyzing and Interpreting Data

Using Mathematics and Computational Thinking

Next Generation Mathematics Learning Standards

Measurement and Data
Geometry

Next Generation English Language Arts Learning Standards

Speaking and Listening	Language
Comprehension and Collaboration Presentation of Knowledge and Ideas	Vocabulary Acquisition and Use

Intermediate Science Core

Process Skills	Major Understandings
Standard 4, 4 Recognize and analyze patterns and trends. Standard 1, M1.1a Identify independent and dependent variables. Standard 1, M2.1a Interpolate and extrapolate from data. Standard 1, S3.1a Organize results, using appropriate graphs, diagrams, data tables, and other models to show relationships. Standard 1, S3.1b Generate and use scales, create legends, and appropriately label axes. Standard 1, S3.2c Evaluate the original hypothesis in light of the data. Standard 1, S3.2f Make predictions based on experimental data. Standard 1, S3.2h Use and interpret graphs and data tables. Standard 2, 1.2 Use spreadsheets and database software to collect, process, display, and analyze information. Students access needed information from electronic databases and on-line telecommunications services.	2.2i Weather describes the conditions of the atmosphere at a given location for a short period of time. 2.2 j Climate is the characteristic weather that prevails from season to season and year to year. 4.1a The sun is a major source of energy for Earth. Other sources include nuclear and geothermal energy.

Process Skills

Major Understandings

Standard 4, 4 Recognize and analyze patterns and trends.

Standard 1, M1.1a Identify independent and dependent variables.

Standard 1, M2.1a Interpolate and extrapolate from data.

Standard 1, S3.1a Organize results, using appropriate graphs, diagrams, data tables, and other models to show relationships.

Standard 1, S3.1b Generate and use scales, create legends, and appropriately label axes.

Standard 1, S3.2c Evaluate the original hypothesis in light of the data.

Standard 1, S3.2f Make predictions based on experimental data.

Standard 1, S3.2h Use and interpret graphs and data tables.

Standard 2, 1.2 Use spreadsheets and database software to collect, process, display, and analyze information. Students access needed information from electronic databases and on-line telecommunications services.

2.2i Weather describes the conditions of the atmosphere at a given location for a short period of time.

2.2 j Climate is the characteristic weather that prevails from season to season and year to year.

4.1a The sun is a major source of energy for Earth. Other sources include nuclear and geothermal energy.

Program Topics

atmospheric science computing CSI data science earth science energy environmental science exploration labs integrated science mathematics physical science solar energy

Program Audience

6th Grade 7th Grade 8th Grade

Graphing Solar Energy with Python

NYS Learning Standards

Contact

Ashley Blydenburgh

About Us

Program Topics

Program Audience

Brookhaven National Laboratory

Brookhaven Science Associates