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A multidisciplinary decision support tool for evaluating multiple biorefinery conversion technologies and supply chain performance

机译:多学科决策支持工具,用于评估多种生物精炼厂转化技术和供应链绩效

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摘要

Fuels from biomass resources have emerged as a promising alternative to fossil fuel. Widely distributed source locations, varying feedstock, and specific regional conditions make it challenging to develop an optimization model that can be applied to any region to estimate the overall economics of producing these biofuels. The lack of a region specific, flexible optimization model makes it difficult for stakeholders like local policy makers, growers, and investors to make informed decisions about the economic viability and social and environmental impacts of biomass utilization. This novel contribution will illustrate an approach to develop a region specific optimization model which links various aspects of the biofuel supply chain such as feedstock source location, upstream and downstream logistics, as well as thermochemical and biochemical processing. This research shows how various individual optimization models can be combined, resulting in a complete, multivariable economic optimization model for a regional biomass network, paving a pathway for future work to develop an integrated framework for sus-tainability. The research demonstrated in this contribution illustrates the development of a model that can form the basis of a generalizable decision support tool that can guide investors and policy makers in making critical assessments on a local level in any particular region of interest. As a proof of concept, a portion of the described model will be validated using the Jackson Purchase region of Western Kentucky, USA, which is adjoining many coal fields and has various bio-based feedstocks.
机译:来自生物质资源的燃料已经成为有前途的替代化石燃料的替代品。广泛分布的源头位置,变化的原料以及特定的地区条件使得开发可应用于任何地区以估算生产这些生物燃料的总体经济性的优化模型具有挑战性。缺乏针对特定地区的灵活优化模型,使得诸如当地政策制定者,种植者和投资者之类的利益相关者难以就生物质利用的经济可行性以及社会和环境影响做出明智的决定。这项新颖的贡献将说明一种开发区域特定优化模型的方法,该模型将生物燃料供应链的各个方面联系起来,例如原料来源位置,上游和下游物流以及热化学和生化处理。这项研究表明如何将各种单个的优化模型组合在一起,从而为区域生物质网络建立一个完整的,多变量的经济优化模型,为未来的工作开发可持续性集成框架铺平了道路。该贡献中展示的研究表明了该模型的开发,该模型可以构成可概括的决策支持工具的基础,该工具可以指导投资者和政策制定者在任何特定感兴趣区域的本地级别进行关键评估。作为概念证明,将使用美国西部肯塔基州的杰克逊购买地区来验证所描述模型的一部分,该地区毗邻许多煤田,并拥有各种生物基原料。

著录项

  • 来源
    《Clean technologies and environmental policy》 |2014年第6期|1027-1044|共18页
  • 作者单位

    Department of Chemical and Materials Engineering, University of Kentucky, Lexington, KY 40506, USA;

    Manufacturing Systems Engineering, University of Kentucky, Lexington, KY 40506, USA,Institute of Sustainable Manufacturing, University of Kentucky, Lexington, KY 40506, USA;

    Institute of Sustainable Manufacturing, University of Kentucky, Lexington, KY 40506, USA,Department of Mechanical Engineering, University of Kentucky, Lexington, KY 40506, USA;

    Institute of Sustainable Manufacturing, University of Kentucky, Lexington, KY 40506, USA,Department of Mechanical Engineering, University of Kentucky, Lexington, KY 40506, USA;

    Department of Chemical and Materials Engineering, University of Kentucky, Lexington, KY 40506, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biofuel; Biomass; Supply chain; Process simulation; Integrated biorefinery; Decision support tool;

    机译:生物燃料生物质供应链;工艺模拟;综合生物精炼厂;决策支持工具;

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