awe-se
A systems engineering framework for system design of airborne wind energy.
Science Score: 75.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
✓Institutional organization owner
Organization awegroup has institutional domain (kitepower.tudelft.nl) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.3%) to scientific vocabulary
Repository
A systems engineering framework for system design of airborne wind energy.
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
AWE-SE
A repository establishing the coupling between interoperable external repositories repositories AWE-Power and AWE-Eco to setup workflows for system design of airborne wind energy (AWE). The framework is based on the field of multi-disciplinary design, analysis and optimisation (MDAO). It enables the design of AWE systems with an objective to minimise the levelised cost of energy (LCoE) and also other profit-based metrics.
How to cite
If you use the framework then please cite:
Joshi, R., von Terzi, D., and Schmehl, R.: System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept, Wind Energ. Sci., 10, 695–718, https://doi.org/10.5194/wes-10-695-2025, 2025.
Dependencies
The framework is built and tested in MATLAB R2021b (without additional add-ons). Try installing this version if your version of MATLAB does not execute the code successfully.
Installation
Please Clone the repository using the following command
git clone --recurse-submodules https://github.com/awegroup/AWE-SE
This will automatically download the interoperable external repositories AWE-Power and AWE-Eco as git submodules.
Overview of the repository
The Repository consists following folders:
AWE-Eco: External repository estimating cost of AWE systems included as a git submodule.AWE-Power: External repository estimating power curve of AWE systems included as a git submodule.inputFiles: Contains pre-defined input files.outputFiles: Contains generated output files based on the pre-defined input files.src: Contains the functions required to utilise the capabilities of the framework.WES2025_paper: Contains scripts, input files and generated output files used to generate plots used in the associated journal publication mentioned in the citation.
Pre-defined example simulation
The script example_workFlow_AWE_Power_AWE_Eco_coupling.m can be directly executed to simulate with pre-defined input files.
It shows the workflow to couple AWE-Power and AWE-Eco.
inputFiles folder
- A pre-defined file named
inputFile_500kW_example.ymldescribes a 500kW system and is the input file required to run AWE-Power. - A pre-defined file named
eco_cost_inputs_GG_fixed.xlsxdescribes the initialization of AWE-Eco. - A pre-defined file named
eco_system_inputs_awePower.mdescribes the coupling between variables of AWE-Power and AWE-Eco.
outputFiles folder
The generated output files have a prefix as alpha-numeric text mentioned under the name field in the input file. Following .mat files are automatically saved in the outputFiles folder at the end of every simulation.
AWE-Power outputs
optimDetailshas the details regarding the optimization.outputshas all the raw outputs.processedOutputshas post-processed relevant outputs for better visualization.
AWE-Eco outputs
inphas the definition of the system taken from the outputs of AWE-Power.parhas the cost parameters as defined ineco_cost_inputs_GG_fixed.xlsx.ecohas the final outputs.
To run with user-defined inputs
Create your own input files preserving the format and the structure as described by the pre-defined input files and use the example_workFlow_AWE_Power_AWE_Eco_coupling.m as a reference for execution.
Licence
This project is licensed under the MIT License. Please see the below WAIVER in association with the license.
WAIVER
Technische Universiteit Delft hereby disclaims all copyright interest in the program “AWE-SE” (a systems engineering framework for system design of airborne wind energy) written by the Author(s).
Prof.dr. H.G.C. (Henri) Werij, Dean of Aerospace Engineering
Copyright (c) 2025 Rishikesh Joshi
Acknowledgement
The project was supported by the Digital Competence Centre, Delft University of Technology.
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
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you use this software, please cite the associated paper.
authors:
- family-names: Joshi
given-names: Rishikesh
affiliation: Delft University of Technology
orcid: 0000-0003-1401-9127
title: AWE-SE
year: 2025
version: 0.1.0
doi:
repository-code: https://github.com/awegroup/AWE-SE
license: MIT
preferred-citation:
type: article
authors:
- family-names: Joshi
given-names: Rishikesh
affiliation: Delft University of Technology
orcid: 0000-0003-1401-9127
- family-names: von Terzi
given-names: Dominic
affiliation: Delft University of Technology
orcid: 0000-0001-9090-5089
- family-names: Schmehl
given-names: Roland
affiliation: Delft University of Technology
orcid: 0000-0002-4112-841X
title: System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept
year: 2025
publisher: Wind Energy Science
doi: https://doi.org/10.5194/wes-10-695-2025
GitHub Events
Total
- Issues event: 1
- Delete event: 6
- Push event: 23
- Pull request event: 18
- Create event: 7
Last Year
- Issues event: 1
- Delete event: 6
- Push event: 23
- Pull request event: 18
- Create event: 7
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 1
- Total pull requests: 9
- Average time to close issues: 8 months
- Average time to close pull requests: 6 days
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 2.0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 6 days
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- rishikeshsjoshi (1)
Pull Request Authors
- rishikeshsjoshi (8)