The MIXOPTIM code calculates the generation cost of a mixture of electricity sources, by means of a Monte Carlo simulation of the production output taking into account the fluctuations of the demand and the stochastic nature of the availability of the various power sources that compose the mix.
You can use the online version: http://app.mixoptim.org,
or get the standalone versions
- B. Bonin, A Laureau, G. Krivtchik, G. Bordier, H. Safa, E. Merle, J. Miss, Y. Richet, F.M. Bréon (submitted to EPJ in 2019). “Viability limits of the renewable source in an electricity mix: MIXOPTIM analysis methodology”
- B. Bonin, A Laureau, G. Krivtchik, G. Bordier, H. Safa, E. Merle, J. Miss, Y. Richet, F.M. Bréon (submitted to EPJ in 2019), “Viability limits of the renewable source in an electricity mix: application to the French mix with anamorphic evolutions”
- B. Bonin, H. Safa, F. Thais, A. Laureau, E. Merle-Lucotte, J. Miss, D. Matselyuk, Y. Richet (2017) “The role of power sources in the European electricity mix”, Nuclear Sci. Technol., European Phyics Journal Nuclear Sci. Technol. 3, 10 (https://www.researchgate.net/publication/279831936_The_role_of_nuclear_power_in_the_european_energy_mix or https://epjn.epj.org/articles/epjn/pdf/2017/01/epjn150012.pdf
- F.M. Bréon, B. Bonin, O. Boucher, A. Laureau, E. Merle, J. Miss, Y. Richet, H. Safa, F. Thais (2015) “Impact on the CO2 emissions of an increasing share of renewable energy in the French electricity mix” Paris Climate Conference (COP21)
- B. Bonin et al. (2014). “MIXOPTIM: a tool for the evaluation and the optimization of the electricity mix in a territory.” European Physical Journal Plus. DOI: 10.1140/epjp/i2014-14198-7