Lab 2 Solar Data Analysis
Aim
- To analyse solar data for selected locations in Fiji
Part 1: Monthly and Annual Data (Suva, Nadi, Labasa)
- Data Source
- Monthly average solar data from 19842017.
- Locations: Suva, Nadi, Labasa.
- Data downloaded from NASA (power.larc.nasa.gov).
- Provided in Excel file.
- Monthly Variation Analysis
- Choose one location and one specific year.
- Construct a graph showing monthly solar insolation variation.
- Explain reasons for variation (e.g., seasonal changes, cloud cover, rainfall, sun angle).
- Annual Average Analysis (Single Location)
- Calculate annual average solar insolation for each year (19842017).
- Construct a graph to show trend over 33 years.
- Discuss whether solar insolation is increasing, decreasing, or stable.
- Comparison Between Locations
- Construct a graph comparing annual solar insolation trends of Suva, Nadi, and Labasa.
- Discuss differences over the past 33 years.
- Monthly Comparison Between Locations
- Choose one year.
- Graph how solar insolation varies monthly across all three locations.
- Discuss regional differences in Fiji.
- Application
- Discuss how and where this solar data can be used (e.g., solar panel design, PV system planning, energy policy, site selection).
Part 2: Hourly Data (Nadi Only)
- Data Source
- Hourly irradiance data from renewables.ninja.
- Location: Nadi.
- Data in second Excel worksheet.
- Daily Irradiance Analysis
- Choose one day in January.
- Construct a graph showing hourly irradiance variation.
- Explain reasons for variation (sunrise, sunset, solar altitude, clouds).
- Application
- Discuss practical uses (e.g., battery storage sizing, peak generation timing, grid planning).
Materials/Tools
- Microsoft Excel
- Lecture notes
- Reference books
Important Notes
- Individual work.
- Submit as a Word document.
- Submit via Turnitin.
- No plagiarism (ZERO mark if plagiarised).
Requirements: standard lab format

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