https://github.com/awegroup/awe_on_mars
Data and code for investigating the feasibility of airborne wind energy on Mars.
Science Score: 13.0%
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Found 3 DOI reference(s) in README -
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Low similarity (6.1%) to scientific vocabulary
Repository
Data and code for investigating the feasibility of airborne wind energy on Mars.
Basic Info
- Host: GitHub
- Owner: awegroup
- License: mit
- Language: Python
- Default Branch: main
- Size: 346 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
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
- Java Mission-planning and Analysis for Remote Sensing (JMARS). https://jmars.mars.asu.edu
- Mars Climate Database (MCD). https://www-mars.lmd.jussieu.fr
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
- Website: kitepower.tudelft.nl
- Twitter: kite_power
- Repositories: 4
- Profile: https://github.com/awegroup