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A Systematic Framework to Determine Optimal Economic Performance of Biorefineries1-6

机译:系统框架,用于确定生物猎犬的最佳经济性能1-6

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The integrated biorefinery has the potential to provide a strong, self-dependent alternative to the use of fossil fuels for the production of chemicals and energy, but difficulties arise in measuring the potential economic and environmental benefit of the biorefinery. A myriad of products and production pathways are possible in this growing field of biorefining, and the production path with maximum value and minimum environmental impact cannot be determined on heuristics alone. A framework is needed to determine the most optimal route based on measures of economic and environmental performance. Gross profit and net present value are used as economic metrics in the short term and long term respectively, and environmental impact is measured using the WAR algorithm developed by Young and Cabezas [1999]. Top candidates in economic and environmental performance are then subject to process integration techniques in order to minimize mass and energy usage, and these integrated biorefineries are once again analyzed for optimal performance.
机译:综合生物遗料有可能提供强大的自我依赖的替代方法,以便使用化学品和能量的化石燃料,但在衡量生物术的潜在经济和环境效益时出现困难。在这种生长领域中,可以在这种生物化领域中获得无数的产品和生产途径,并不能单独确定具有最大值和最小环境影响的生产路径。需要一个框架来确定基于经济和环境绩效衡量标准的最佳路线。毛利率和净目前的价值分别用作短期和长期的经济指标,并使用Young和Cabezas开发的战争算法测量环境影响[1999]。经济和环境绩效的顶级候选人随后需要处理一体化技术,以最大限度地减少质量和能源使用,并再次分析这些整合的生物猎物以获得最佳性能。

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