Functional-unit-based life cycle optimization of sustainable biomass-to-electricity supply chain with economic and environmental tradeoffs

摘要: Abstract We propose a novel multi-objective optimization model for the sustainable design and operation of bio-electricity supply chain networks, which simultaneously optimizes economic environmental impacts. The proposed covers cradle-to-gate life cycle including biomass cultivation harvesting, feedstock pretreatment, energy conversion, biopower generation, as well transportation storage. formulate problem mixed-integer linear fractional program (MILFP) following functional-unit based approach. geographical dispersion seasonality are captured handled by spatially explicit multi-period features model. multi- objective is accomplished via e -constraint method to obtain approximate Pareto frontiers, reveal tradeoff between performance concerns about Tailored solution methods effective global resulting MILFP problem. A county-level case study on potential in Illinois provided demonstrate application both modelling framework methods.