Agrivoltaics Supply Side Management
Optimizes Supply Side Management with Agrivoltaics (Solar sharing between Photovoltaics and Agriculture) by Artificial Intelligence.
Installation
Use the package manager pip to install agrivoltaics-supply-side-management.
Case 1
When using by cloning this GIT repository:
pip install -e [ABSOLUTE PATH TO THIS PROJECT]
Case 2
When using a package available in PyPI:
pip install agrivoltaics-supply-side-management
Solvers
We use Python library for mathematical optimization, called Pyomo. As in any mathematical optimization tool, it requires a solver.
For Linear Programming, glpk is used as a solver by default following Pyomo tutorial.
In Macintosh, install it through Homebrew:
brew install glpk
For other platforms, see https://www.gnu.org/software/glpk/
Usage
[To be added]
References
[1] P. E. Campana, B. Stridh, S. Amaducci, and M. Colauzzi, “Optimisation of vertically mounted agrivoltaic systems,” Journal of Cleaner Production, vol. 325, p. 129091, Nov. 2021, doi: 10.1016/j.jclepro.2021.129091. [2] C. B. Honsberg, R. Sampson, R. Kostuk, G. Barron-Gafford, S. Bowden, and S. Goodnick, “Agrivoltaic Modules Co-Designed for Electrical and Crop Productivity,” in 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), Jun. 2021, pp. 2163–2166. doi: 10.1109/PVSC43889.2021.9519011. [3] B. Willockx, B. Uytterhaegen, B. Ronsijn, B. Herteleer, and J. Cappelle, “A standardized classification and performance indicators of agrivoltaic systems.,” Oct. 2020. doi: 10.4229/EUPVSEC20202020-6CV.2.47. [4] H-W, Heldt, ”Plant Biochemistry,” Elsevier Academic Press, Burlington, MA, USA, 2005. [5] R. W. Langhans and T. W. Tibbits, “Plant Growth Chamber Handbook - Chapter 1 Radiation,” in Plant Growth Chamber Handbook, Iowa State University, 1997. [6] O. A. Martin, R. Kumar, and J. Lao, "Bayesian Modeling and Computation in Python," Boca Ratón, 2021. [Online]. Available: https://bayesiancomputationbook.com [7] R. Retkute, S. E. Smith-Unna, R. W. Smith, A. J. Burgess, O. E. Jensen, G. N. Johnson, S. P. Preston, E. H. Murchie, ”Exploiting heterogeneous environments: does photosynthetic acclimation optimize carbon gain in fluctuating light?,” Journal of Experimental Botany, May 2015, vol. 66, no. 9, pp. 2437–2447, doi: 10.1093/jxb/erv055.
Metadata
Release files for agrivoltaics-supply-side-management 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| agrivoltaics_supply_side_management-0.1.0.tar.gz | 22.1 kB | Without provenance | Details for agrivoltaics_supply_side_management-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| agrivoltaics_supply_side_management-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for agrivoltaics_supply_side_management-0.1.0-py3-none-any.whl |
Total release size: 50.9 kB
Release files / agrivoltaics_supply_side_management-0.1.0.tar.gz
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| Size | 22.1 kB |
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Release files / agrivoltaics_supply_side_management-0.1.0-py3-none-any.whl
| Download URL | agrivoltaics_supply_side_management-0.1.0-py3-none-any.whl |
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Security for agrivoltaics-supply-side-management 0.1.0
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