一个指导安全和可持续设计创新的框架

IF 5.4 3区 环境科学与生态学 Q2 ENGINEERING, ENVIRONMENTAL
Carlos Felipe Blanco, Paul Behrens, Martina Vijver, Willie Peijnenburg, Joris Quik, Stefano Cucurachi
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引用次数: 0

摘要

在新技术仍处于早期研发阶段时,对其安全性和可持续性进行评估,是避免不良后果的最有效方法。然而,从想法到市场的过程是高度不确定的,在技术开发人员试图优化材料选择和产品配置时,需要进行大量的试验和错误。设计发展迅速,在许多因素尚未确定的情况下评估其风险和影响是具有挑战性的。标准实践是评估可以指导设计选择的场景的有限子集。然而,在没有系统敏感性筛选的情况下,从数百个不确定因素中选择方案可能会遗漏重要的改进机会。为了提供知情的指导,应根据对该技术的安全和可持续性影响影响最大的因素来选择评估情景。我们提出了一种方法,通过结合技术设计的内在和外在的各种不确定因素来实现这一目标。然后使用全局敏感性分析筛选评估模型中的高敏感因素。为后续迭代提出减少高度影响因素的不确定性的策略,并选择不确定性不能进一步减少但仍具有影响力的剩余因素作为提出“敏感情景”和改进路线图的基础。我们通过一个新兴的光伏案例研究来演示该框架。超过100个不确定因素减少到不到5个,如果进行优化,将大大提高该技术未来的安全性和可持续性性能,并减少围绕该技术的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A framework for guiding safe and sustainable-by-design innovation

A framework for guiding safe and sustainable-by-design innovation

Assessing the safety and sustainability of novel technologies while they are still in the early research and development stages is the most effective way to avoid undesired outcomes. However, the journey from idea to market is highly uncertain and involves intensive trial and error as technology developers attempt to optimize material choices and product configurations. Designs evolve quickly, and assessing their risks and impacts while numerous factors remain undetermined is challenging. The standard practice is to evaluate a limited subset of scenarios that can guide design choices. However, selecting scenarios from hundreds of undetermined factors without a systematic sensitivity screening may leave out important improvement opportunities. To provide well-informed guidance, the evaluated scenarios should be selected based on factors that are most influential to the safety and sustainability impacts of the technology. We propose an approach that accomplishes this by incorporating a wide spectrum of undetermined factors, both intrinsic and extrinsic to the technology design. The assessment models are then screened for highly-sensitive factors using global sensitivity analysis. Strategies to reduce uncertainty on highly influential factors are proposed for subsequent iterations, and the residual factors for which uncertainty cannot be further reduced yet remain influential are selected as a basis for proposed “sensitive scenarios” and improvement roadmaps. We demonstrate the framework with an emerging photovoltaics case study. Over a hundred uncertain factors are reduced to less than five which, if optimized, would substantially improve the future safety and sustainability performance of the technology as well as reduce the uncertainty around it.

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来源期刊
Journal of Industrial Ecology
Journal of Industrial Ecology 环境科学-环境科学
CiteScore
11.60
自引率
8.50%
发文量
117
审稿时长
12-24 weeks
期刊介绍: The Journal of Industrial Ecology addresses a series of related topics: material and energy flows studies (''industrial metabolism'') technological change dematerialization and decarbonization life cycle planning, design and assessment design for the environment extended producer responsibility (''product stewardship'') eco-industrial parks (''industrial symbiosis'') product-oriented environmental policy eco-efficiency Journal of Industrial Ecology is open to and encourages submissions that are interdisciplinary in approach. In addition to more formal academic papers, the journal seeks to provide a forum for continuing exchange of information and opinions through contributions from scholars, environmental managers, policymakers, advocates and others involved in environmental science, management and policy.
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