چكيده به لاتين
Abstract
Nowadays required energy mostly comes from fossil fuels. Although extensive use of these fuels caused fast growth in the economy of advanced industrialized countries, reasons such as limited availability, long time needed to renew, emission of pollutants, global climate change, etc., encourage societies to seek alternative renewable energy sources. Among these alternative sources, the energy from biomass (bioenergy) has particular importance because in addition to being renewable, the environmental impact is much less. There is a wide range of biomass sources including edible and non-edible plants and grains, agricultural and forests residue, animal wastes, urban and industrial wastes, algae and microalgae, etc., which are classified in three generations.
In this research, a mathematical model is presented to design a bioenergy supply network from different types of second-generation biomass (Jatropha, agricultural residue and animal waste) and third generation (microalgae) with economic and energy production objectives.Therfore, adding the water-energy nexus and carbon emission concepts, an extended model with four objective functions is presented. In order to find suitable places for jatrofa cultivation in Iran and reduce the solution space, Geographic Information System (GIS) has been used. The primary mathematical model is solved using augmented ɛ-constraint method and the extended model is solved using MINMAX goal programming method by CPLEX software for Iran provinces as a case study. According to the results, in both models energy production from microalgae and jatrofa resources is prior to the waste.
Keywords: Supply network design, second and third generation biomass, Water-energy nexus, GIS, multi-objective optimization
