https://github.com/awegroup/awe_on_mars

Data and code for investigating the feasibility of airborne wind energy on Mars.

https://github.com/awegroup/awe_on_mars

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Data and code for investigating the feasibility of airborne wind energy on Mars.

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  • Host: GitHub
  • Owner: awegroup
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 346 KB
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Created almost 3 years ago · Last pushed over 2 years ago
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Readme License

README.md

Airborne wind energy on Mars

Data and code for investigating the feasibility of airborne wind energy on Mars in two contributed book chapters [1,2].

Scaling study [1]

The two files are an Excel sheet mcd_data.ods with the tabulated data of the Mars Climate Database v6.1 for the Viking 1 and Arsia North sites and the file scaling.py to compute the scaling factors from the simplified relations given in the chapter.

Performance analysis [2]

The file powercurve.py generates a continuous power curve for a pumping airborne wind energy system in three wind speed regimes. The control strategy was first proposed in [3] and was extended in the chapter to account for constant elevation angles during the reel-out and reel-in phases.

In contrast to [3], the reel-in phase is modeled for constant lift-to-drag ratio of the kite, resulting in a reel-in elevation angle varying with the wind speed. This setup is more appropriate for soft-kite systems with slow actuation and a required safe distance from a negative angle of attack.

The file powercurve_const_beta_in.py contains the alternative implementation, outlined in parts already in [3], with a constant reel-in elevation angle, resulting in a lift-to-drag ratio that varies with the wind speed. This implementation might prove helpful in fixed-wing kite systems with fast actuation that can fly at negative and positive angles of attack.

Tools

The following external tools were used for the analysis

References

[1] Gaunaa, M., Rodriguez, M., Ouroumova, L., Schmehl, R.: Scaling Airborne Wind Energy Systems for Deployment on Mars. In: Cervone, A., Bier, H., Makaya, A. (eds.) Adaptive Off-Earth Manufacturing. Springer Series in Adaptive Environments. Chapter 6. Springer Cham. 2023.

[2] Schmehl, R., Rodriguez, M., Ouroumova, L., Gaunaa, M.: Airborne Wind Energy for Martian Habitats. In: Cervone, A., Bier, H., Makaya, A. (eds.) Adaptive Off-Earth Manufacturing. Springer Series in Adaptive Environments. Chapter 7. Springer Cham. 2023.

[3] Luchsinger, R.H.: Pumping Cycle Kite Power. In: Ahrens, U., Diehl, M., and Schmehl, R. (eds) Airborne Wind Energy. Green Energy and Technology. Springer, Berlin Heidelberg. Chap. 3, pp 47-64, 2013. doi:10.1007/978-3-642-39965-7_3.

Owner

  • Name: Airborne Wind Energy Research Group
  • Login: awegroup
  • Kind: organization
  • Email: r.schmehl@tudelft.nl
  • Location: Delft

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