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Methods for Modular Integrated Hybrid Life Cycle Assessment

Methods for Modular Integrated Hybrid Life Cycle Assessment
模块化集成混合生命周期评估方法
批准号:
RGPIN-2017-06956
负责人:
Lloyd, Shannon
金额:
$1.53万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
翻译
越来越需要生命周期评估(LCA)来支持私营部门的供应链需求,遵守监管披露和内容要求,并获得第三方可持续性认证。虽然LCA一直是减少环境影响的工具,但它正日益成为市场准入的先决条件。我的研究方向是扩大LCA的范围,整合LCA的数据和方法,实现LCA的民主化。这项研究计划将通过开发模块化、集成混合LCA的框架和计算结构来支持我的研究计划的目标。混合LCA模型使用流程级数据提供系统某些组件的详细分析和输入输出(IO)数据(通常是行业平均数据),以填补无法获得详细数据的空白。集成的混合LCA模型在计算上集成了基于过程和基于io的数据,已被开发并用于许多具体的案例研究。目前尚不清楚这些研究中是否将建模组件计算集成。这些模型中没有一个已被操作以供一般使用。我和我的同事最近开发并实现了一个通用的综合混合LCA模型。它允许用户输入可用的基于流程的详细数据,将流程数据用于模型中包含的活动,并在没有详细数据时依赖行业平均数据。随着我们将更多的过程、经济和影响评估方法纳入模型,它将变得越来越复杂。对于不遵循传统LCA模型的生命周期库存数据或生命周期影响评估方法尤其如此。此外,将组织的环境(或其他)数据集成到集成的混合LCA模型中的能力将扩展其有用性和准确性。新兴的影响评估方法和组织数据的结构通常与基于流程或基于io的LCA数据不同。集成混合LCA需要可扩展和灵活的方法。拟议的研究将开发一个框架和计算结构,将过程级、基于io的、影响评估和其他相关数据作为模块纳入模块化集成混合LCA模型。为了测试该方法,将使用加拿大数据开发基于流程的数据集、特定行业的数据集和一种新的影响评估方法,并将其纳入模块化集成混合LCA模型。基于过程的数据集将重点关注加拿大的能源和交通;行业特定数据集将重点关注加拿大航空航天工业;新的影响评价方法将侧重于对职业健康安全的影响。所产生的方法将以一种可供加拿大工业界和决策者使用的格式传播。
英文摘要
Life cycle assessment (LCA) is increasingly required to support private-sector supply-chain requirements, comply with regulatory disclosure and content requirements, and obtain third-party sustainability certifications. While LCA has been a tool for reducing environmental impact, it is increasingly becoming a prerequisite for market access. My research program is focused on expanding the scope of LCA, integrating LCA data and methods, and democratizing LCA. This research proposal will support the goals of my research program by developing a framework and computational structure for modular, integrated hybrid LCA.Hybrid LCA models use process-level data to provide a detailed analysis of some components of a system and input-output (IO) data, generally industry average data, to fill gaps where detailed data is not available. Integrated hybrid LCA models, which computationally integrate process- and IO-based data, have been developed and presented for a number of specific case studies. It's not clear if the modeling components were computationally integrated in these studies. None of these models have been operationalized for general use. My colleagues and I recently developed and operationalized an integrated hybrid LCA model for general use. It allows a user to input their own detailed process-based data as available, use process-data for activities included in the model, and rely on industry average data when detailed data is not available. As we incorporate more processes, economies, and impact assessments methods into the model, it will become increasingly more complex. This is especially true for life cycle inventory data or life cycle impact assessment methods that don't follow the traditional LCA mold. In addition, the ability to integrate an organization's environmental (or other) data into an integrated hybrid LCA model would expand its usefulness and accuracy. Emerging impact assessment methods and organizational data are often structured differently than process- or IO-based LCA data. Scalable and flexible approaches for integrated hybrid LCA are needed. The proposed research will develop a framework and computational structure that treats process-level, IO-based, impact assessment, and other relevant data as modules to be incorporated into a modular integrated hybrid LCA model. To test the approach, a process-based dataset, an industry-specific dataset, and a novel impact assessment method will be developed using Canadian data and incorporated into the modular integrated hybrid LCA model. The process-based dataset will focus on energy and transportation in Canada; the industry-specific dataset will focus on the Canadian aerospace and aviation industry; and the novel impact assessment method will focus on impacts to occupational health and safety. The resulting methods will be disseminated in a format that can be used by Canadian industry and policy-makers.
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Methods for Modular Integrated Hybrid Life Cycle Assessment
  • 批准号:
    RGPIN-2017-06956
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2021
  • 负责人:
    Lloyd, Shannon
  • 依托单位:
Methods for Modular Integrated Hybrid Life Cycle Assessment
  • 批准号:
    RGPIN-2017-06956
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2020
  • 负责人:
    Lloyd, Shannon
  • 依托单位:
Methods for Modular Integrated Hybrid Life Cycle Assessment
  • 批准号:
    RGPIN-2017-06956
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2019
  • 负责人:
    Lloyd, Shannon
  • 依托单位:
Methods for Modular Integrated Hybrid Life Cycle Assessment
  • 批准号:
    RGPIN-2017-06956
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2018
  • 负责人:
    Lloyd, Shannon
  • 依托单位:
国内基金
海外基金
基于Modular积图和最大团的草图形状匹配技术研究
  • 批准号:
    61305091
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2013
  • 负责人:
    梁爽
  • 依托单位: