Exercises 1: Data analysis

Exercises 1: Data analysis#

Exercise 1: Reproducing energy generation analysis#

This exercise helps you understand the basic workflow and calculations.

  1. Download the datasets from Renewables.ninja:

    • Wind generation data

    • Solar generation data

  2. Create two visualizations:

    • Plot the hourly wind and solar generation patterns

    • Calculate and plot the monthly capacity factors

  3. Calculate the Full Load Hours (FLH) for both wind and solar generation

Exercise 2: Analyzing demand patterns#

This exercise develops your analytical skills with energy data.

  1. Download the data export from the Energy Transition model from the course repository: merit_order.csv

Note

The Energy Transition Model use MW(h) as the standard unit. You can assume that this data is also in MW(h).

  1. Analyze the electricity demand data to identify:

    • The three largest contributors to total energy consumption and their total energy consumption on TWh

    • The three largest contributors to peak demand and their peak demand in MW

  2. What time periods show the highest demand for these demand categories? Investigate:

    • Daily patterns

    • Weekly patterns

    • Seasonal patterns

  3. Write a short analysis explaining how these patterns might affect system integration challenges

Exercise 3: Applying to a new context#

This exercise helps you apply the learned concepts to a different situation.

You are an energy system consultant analyzing data for a new industrial park development.

Given the following data:

  • Hourly electricity demand from three different types of industries
    (use the top 3 demand categories from the previous exercise)

  • Local wind and solar generation potential

Tasks:

  1. Create a visualization that shows the temporal match between renewable generation and industrial demand

  2. Analyse, visualize and investigate:

    • The capacity factors of renewables

    • The ratio between peak and average demand for each industry

    • Supply-demand matching score

    • Periods of excess generation

    • Periods of supply shortage

  3. Write recommendations for:

    • The optimal mix of wind and solar capacity

    • Strategies to manage peak demand

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