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- 저자 : Brigljević (검색결과 2 건)
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Brigljević,, Boris,Liu, Jay J.,Lim, Hankwon Elsevier 2019 APPLIED ENERGY Vol.254 No.-
<P><B>Abstract</B></P> <P>Marine macroalgae or seaweeds are increasingly becoming strong candidates for sustainable biofuel feedstocks of the future. This study features a large-scale process design and comprehensive analysis of an industrial-scale (400,000 tons dry feedstock per year) poly-generation pyrolysis process that utilizes 3rd generation biofuel feedstock, <I>Saccharina japonica</I> brown seaweed, and produces diesel-range hydrocarbon fuel, heat, and power. Process design relied predominately on published experimental data regarding fast pyrolysis of <I>S. japonica</I> in a fixed-bed reactor system, followed by dewatering and catalytic upgrading of the produced biocrude. The design featured acid wash pretreatment for the reduction of mineral content, and subsequently a Rankine power cycle utilizing biochar. The design also considered two distinct cases of on-site hydrogen production and hydrogen purchase. Based on the experimental data, a rigorous steady-state flowsheet model was constructed using Aspen Plus for each design case. The results of comprehensive techno-economic assessment, sensitivity, and Monte Carlo analyses provided insight into capital cost for the process, minimum product selling price, and selling price ranges. Finally, the process is compared with traditional crude oil extraction and processing in terms of significant reductions in CO<SUB>2</SUB> emissions, hence providing strong evidence of its environmental sustainability.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Experiment based, process design of fast pyrolysis of <I>S. japonica</I> brown seaweed. </LI> <LI> Poly-generation process producing diesel-grade fuel, heat, and power. </LI> <LI> Process simulation using with Aspen Plus and specialized biocrude modeling method. </LI> <LI> Features acid wash mineral removal, fixed-bed reactor system, and Rankine power cycle. </LI> <LI> 7–45 times less CO<SUB>2</SUB> emissions compared to conventional crude oil processes. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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Brigljević,, Boris,Ž,uvela, Petar,Liu, J. Jay,Woo, Hee-Chul,Choi, Jae Hyung Elsevier 2018 APPLIED ENERGY Vol.215 No.-
<P><B>Abstract</B></P> <P>The prominence of biofuel research is growing as the global energy policies focus on renewable energy technologies. Accurate process design and simulation is required when evaluating technological and market capabilities of large scale, novel, fuel production processes. Thermochemical decomposition, employed in various biofuel production routes (pyrolysis, liquefaction, and so on) yields complex liquid mixtures (bio-crudes) containing numerous compounds. The process simulation of such processes must accurately represent the physical, thermodynamic and chemical properties of bio-crudes, while reducing complexity to a point where it can be handled by a process simulator in a time effective manner. In this work, a software employing automated modelling of bio-crudes based on raw experimental data, has been developed. The program output is a ready-to-use reduced mixture, including all product phases and in mass balance with the Proximate and Ultimate analyses of the feedstock biomass material. As there are many approaches to bio-crude modelling, the novelty of this method lies in the combination of the minimization of the number of components needed and the minimization of the level of artificiality introduced in the system. The automation of the method allowed for fast reduction and optimization of seven experimental data sets which were then validated by process simulation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A method utilizing experimental data and producing a reduced mixture was developed. </LI> <LI> Software solution was developed for method automation. </LI> <LI> Results were tested in Aspen and validated against seven experimental datasets. </LI> <LI> Swift and accurate reduced representation of complex mixtures was produced. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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