@cwcoley@LatinXChem@LatinXinChE@beyondbenign@green_rsc@RSC_Sus@Ing_Fabian On the other hand, the equations presented in the poster are only the objective functions, the model contains mass and energy balances, design equations for the energy systems used (photovoltaic, grid, biogas and biomass) and the design equations for an energy supply chain.
@cwcoley@LatinXChem@LatinXinChE@beyondbenign@green_rsc@RSC_Sus@Ing_Fabian in order to determine the convincing power among the stakeholders to belong to one alliance or another. Finally, a new compromise solution was solved but from the alliances. This solution represents the optimal solution minimizing the dissatisfaction between them.
@cwcoley@LatinXChem@LatinXinChE@beyondbenign@green_rsc@RSC_Sus@Ing_Fabian In turn, the possible alliances that may exist among the stakeholders were analyzed (the individual solutions were divided into three possible alliances) and by means of fuzzy logic it was determined how much affinity there is between the individual solutions and the alliances...
@cwcoley@LatinXChem@LatinXinChE@beyondbenign@green_rsc@RSC_Sus@Ing_Fabian The work minimizes the annual cost of the project, as well as GHG emissions and water consumption, and maximizes energy diversification. Different scenarios were solved by giving different weights to the objective functions according to stakeholder interests ...
@OctavioDMA@LatEnvChemPSE@Ing_Fabian Muchas gracias por tus comentarios, Octavio. Los costos anuales negativos representan un beneficio económico, es decir, los ingresos percibidos por la venta de energía eléctrica y biomasa son mayores a los costos asociados a la cadena de suministro.
@RFonsPer@LatEnvChemPSE@Ing_Fabian Hi Rosa, thank you for your question. The programming language used to solve the formulation was Julia. Within the Julia environment the JuMP package was used.