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Global Optimization for Sustainable Design and Synthesis of Algae Processing Network for CO2 Mitigation and Biofuel Production Using Life Cycle Optimization

机译:使用生命周期优化对二氧化碳减排和生物燃料生产的藻类加工网络进行可持续性设计和合成的全局优化

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摘要

Global optimization for sustainable design and synthesis of a large-scale algae processing network under economic and environmental criteria is addressed. An algae processing network superstructure including 7800 processing routes is proposed. Based on the superstructure, a multiobjective mixed-integer nonlinear programming (MINLP) model is developed to simultaneously optimize the unit cost and the unit global warming potential (GWP). To efficiently solve the non-convex MINLP model with separable concave terms and mixed-integer fractional terms in the objective functions, a global optimization strategy that integrates a branch-and-refine algorithm based on successive piecewise linear approximations is proposed and an exact parametric algorithm based on Newton's method. Two Pareto-optimal curves are obtained for biofuel production and biological carbon sequestration, respectively. The unit annual biofuel production cost ranges from $7.021 gasoline gallon equivalent (GGE) to $9.71IGGE, corresponding to unit GWP's of 26.491 to 16.52 kg CO2-eq/GGE, respectively.
机译:解决了在经济和环境标准下可持续设计和合成大型藻类加工网络的全球优化问题。提出了包括7800条加工路线的藻类加工网络上层建筑。基于上层建筑,建立了一个多目标混合整数非线性规划(MINLP)模型,以同时优化单位成本和单位全球变暖潜势(GWP)。为了有效地解决目标函数中具有可分离凹项和混合整数分数项的非凸MINLP模型,提出了一种基于逐段线性近似的分支和细化算法相集成的全局优化策略和精确的参数算法基于牛顿的方法。分别获得两条用于生物燃料生产和生物固碳的帕累托最优曲线。单位年生物燃料生产成本从$ 7.021汽油加仑当量(GGE)到$ 9.71IGGE不等,分别相当于单位GWP的26.491至16.52 kg CO2-eq / GGE。

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