Section outline

    • The main goal of the owners and operators of power plants is the use of different generation technologies to make the power supply secure and sustainable but also profitable. The selection of suitable technology mixes requires a robust analytical framework, such as the Mean-Variance Portfolio Theory. In this framework, specific financial risks related to various technologies as well as the technical, economic and societal aspects of the plants can explicitly be considered.

      In this section you will find the presentation with:

      • some basics of Mean-Variance Portfolio Theory, and different portfolio optimization methods for power generation assets,
      • some information about the economics of power plants needed for portfolio optimization of power generation asset with examples in Python.

      Furthermore, we provide the description of the case study

    • Portfolio optimization for power generation assets ファイル
    • Economics of power plants and example of power plants portfolio optimization in Python ファイル
    • Case study ページ

      Dear students,

      as you work on this assignment, please keep in mind that the instructions provided are meant to serve as a reference and guiding framework. Coding, by its very nature, is a versatile and creative process. There are multiple valid approaches to achieve a solution, and the path you choose might differ from the reference.

      We encourage you to think critically, experiment with different coding techniques, and find an approach that resonates with your understanding. The key is not to replicate the instructions verbatim but to grasp the underlying concepts and apply them effectively. Remember, the journey to the correct result is as valuable as the result itself, and there are many paths that lead to the correct answer.

      All the best, and happy coding!

      FCN-ECO team