Long Distance Bioenergy Logistics: An assessment of costs and energy consumption for various biomass transport chains

摘要: This study gives an analysis of costs and energy consumption, associated with long distance bioenergy transport systems. In order to create the possibility obtaining insight in system’s key factors, a model has been developed, taking into account different production systems, pretreatment operations and transport options. Various chains were constructed, which subjected a sensitivity analysis respect factors like distance, fuel prices equipment operation times. Scenarios analysed are Latin-America Europe for distinguishing parameters were assumed be distances biomass prices. For both regions, is made a situation where ship transports applied both, coastal inland supply. case of European biomass, train was considered as well. explore possibilities for improvement, effects these variables on consumption within chain, were assessed. Delivered can converted power or methanol. Model results follows: Total for European bioenergy range from 11.2-21.2 €/GJMeOH methanol 17.4-28.0 €/GJe electricity. For Latin-America, ranges 11.3-21.8 17.4-28.7 for electricity. The lower end represented by that characterised by the use high density carriers such logs, pellets liquid fuels. Transport chains, based carriers, logs pellets, the most attractive all scenarios considered. chips should avoided categorically due to their low costs. Transport early liquid energy pyrolysis oil seem promising alternatives well. With highly unfavourable same reasons as stated above. pelleting operations implies input, however due energy savings result more efficient operations, this loss compensated. Energy consumption figures drying step possibly reduced large extent utilising waste heat. By far most influential window system harvest window. Other importance interest rate international distance. Pretreatment operations do contribute important share total use, and load factor figures, determining application exert relatively weak influence. Weak spots shortage data storage liquid fuels