Water-Energy Nexuse of Bioenergy Network: A Fuzzy Goal Programming Model

The limitations on resources of fossil fuels and their destructive effects on the environment have made renewable energy sources more attractive and between these sources, energy from biomass called bioenergy has a special place due to the wide range of resources and other benefits. The purpose of this research is to provide a bi-objective multi-period linear programming model to design the supply chain of bioenergy from various types of biomasses using anaerobic digestion and transesterification processes. Two types of biomass considered as feedstock are microalgae and Jatropha. The first objective function maximize the value of the total benefit and the second objective function minimize the amount of water consumption. Selection of raw material resources, locating the production facilities and raw material warehouses, value of optimal material flows, etc. are some of the decisions made by the model. The performance of the proposed model is evaluated and validated through conducting a real case study in Iran.