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.

[8] S. Bisgaard, M. Kulahci, "Time Series Analysis and Forecasting by Example," John Wiley and Sons Inc. Publication, Hoboken, NJ, USA, 2011.