Dynamic Material Flow Analysis-Based Life Cycle Optimization Framework and Application to Sustainable Design of Shale Gas Energy Systems,ACS Sustainable Chemistry & Engineering

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Dynamic Material Flow Analysis-Based Life Cycle Optimization Framework and Application to Sustainable Design of Shale Gas Energy Systems
ACS Sustainable Chemistry & Engineering ( IF 7.1 ) Pub Date : 2018-07-19 00:00:00 , DOI: 10.1021/acssuschemeng.8b01983
Jiyao Gao ₁ , Fengqi You ₁

Affiliation

We propose a novel modeling framework integrating the dynamic material flow analysis (MFA) approach with life cycle optimization (LCO) methodology for sustainable design of energy systems. This dynamic MFA-based LCO framework provides high-fidelity modeling of complex material flow networks with recycling options, and it enables detailed accounting of time-dependent life cycle material flow profiles. The decisions regarding input, output, and stock of materials are seamlessly linked to their environmental impacts for rigorous quantification of environmental consequences. Moreover, by incorporating an additional dimension of resource sustainability, the proposed modeling framework facilitates the sustainable supply chain design and operations with a more comprehensive perspective. The resulting optimization problem is formulated as a mixed-integer linear fractional program and solved by an efficient parametric algorithm. To illustrate the applicability of the proposed modeling framework and solution algorithm, a case study of Marcellus shale gas supply chain is presented.

中文翻译：

基于动态物质流分析的生命周期优化框架及其在页岩气能源系统可持续设计中的应用

我们提出了一种新颖的建模框架，该框架将动态物料流分析（MFA）方法与生命周期优化（LCO）方法相结合，以实现能源系统的可持续设计。这种基于MFA的动态LCO框架提供了具有回收选项的复杂物料流网络的高保真建模，并且可以详细计算与时间相关的生命周期物料流概况。有关材料的输入，输出和库存的决定与它们对环境的影响无缝关联，以便对环境后果进行严格的量化。此外，通过纳入资源可持续性的其他方面，拟议的建模框架以更全面的视角促进了可持续供应链的设计和运营。由此产生的优化问题被公式化为混合整数线性分数程序，并通过有效的参数算法进行求解。为了说明所提出的建模框架和求解算法的适用性，以马塞勒斯页岩气供应链为例。

更新日期：2018-07-19

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