https://github.com/awegroup/luchsingermodel

Implementation of the model developed by Rolf Luchsinger

https://github.com/awegroup/luchsingermodel

Repository

Implementation of the model developed by Rolf Luchsinger

https://github.com/awegroup/LuchsingerModel/blob/main/

# Luchsinger's performance model of a pumping kite system accounting for tether elevation angle

## Model purpose
Preliminary sizing of a pumping kite system on Mars.

## Build Status
* Model is complete, but the sequence of execution is not optimal making the model slow.
* Having 669 sols (days on Mars) is hard coded in the model, requiring manual changes to simulate 365 days on Earth.
* The parameters and methods description is not up to date.

## Features
* Calculate the power of a kite of a certain size for given environment conditions [1].
* Models the mechanical to electrical energy conversion losses [2].
* Evaluates system mass and specifications.

## Framework used
The architecture of the model is outlined in the [code block diagram](doc/LuchsingerModel_CodeBlcokDriagram.pdf).


## Installation
Required Python packages might need to be installed.

## How to Use
1. Change input as desirable.
2. Run YearlyPower_elevation.py for a yearly simulation (Option 1) or PowerPerSol_elevation.py for simulating only sols of interest (Option 2).

* Option 1 produces a power curve for the year for a kite (combined results shown [here](doc/Wind_power_for_kites.png)).
* Option 2 produces operational evenvelope of pumping kite for sols (combined results shown [here](doc/Operational_envelope_kite.png)).

## Results
The use of the model and the generated results are described in more detail in [3] and [4]. A follow-up study is presented in [5].

## Possible contributions   
* Instead of evaluating the complete state of each sol one after another, it will be faster if some steps are done for a year.
* Examples: instead of updating the density of each sol though the python classes, a value from a list with 669 points should be used.
* Instead of updating the k and u Weibull parameters of each sol though the python classes, a value from a list with 669 points should be used.

## Credits
TU Delft DSE group 23 of 2020 created the first version of this model [4].

## Authors
Lora Ouroumova

## License

This project is licensed under the Apache License - see the [LICENSE](LICENSE) file for details

## References

[1] R.H. Luchsinger: Pumping cycle kite power. In U. Ahrens, M. Diehl, and R. Schmehl (eds), Airborne Wind Energy, Green Energy and Technology, chapter 3, pages 4764. Springer, Berlin Heidelberg, 2013. https://doi.org/10.1007/9783642399657_3

[2] U. Fechner, R. Schmehl: Model-Based Efficiency Analysis of Wind Power Conversion by a Pumping Kite Power System. In U. Ahrens, M. Diehl, and R. Schmehl (eds), Airborne Wind Energy, Green Energy and Technology, chapter 14, pages 249270. Springer, Berlin Heidelberg, 2013. https://doi.org/10.1007/9783642399657_14

[3] L. Ouroumova, D. Witte, B. Klootwijk, E. Terwindt, F. van Marion, D. Mordasov, F. Corte Vargas, S. Heidweiller, M. Gczi, M. Kempers, R. Schmehl: Combined Airborne Wind and Photovoltaic Energy System for Martian Habitats. In: Spool 8.2 (2021), pp. 7185. http://doi.org/10.7480/spool.2021.2.6058

[4] F. Corte Vargas, M. Gczi, S. Heidweiller, M.X. Kempers, B.J. Klootwijk, F. van Marion, D. Mordasov, L.H. Ouroumova, E.N. Terwindt, D. Witte: "Arcadian Renewable Energy System: Renewable Energy for Mars Habitat". BSc Thesis, Faculty of Aerospace Engineering, Delft University of Technology, 2020. http://resolver.tudelft.nl/uuid:93c343e5-ee79-4320-98a3-949d3e9c407d

[5] D. Gl, A. Popescu Cabo, M. Caruso, M. de Lange, V. Isidorova, K. Tiagoo, L. Sanders, T. Meyer Ranneft, W. van der Klugt, B. Sambath: "AWESOM: Airborne Wind Energy System on Mars". BSc Thesis, Faculty of Aerospace Engineering, Delft University of Technology, 2021. http://resolver.tudelft.nl/uuid:0298b063-7632-43f4-afa5-4065376df713

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