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

Abstract 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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Institutions

Publication Details

Journal
Journal of Industrial Ecology
Published
2024-12-31
DOI
https://doi.org/10.1111/jiec.13609
Citations
12
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
4.37

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article

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

Joris T.K. Quik, Carlos Felipe Blanco, Martina G. Vijver, Willie J.G.M. Peijnenburg et al.
12 citations
Journal of Industrial Ecology
Technology Assessment and Management
4.37
article

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

Joris T.K. Quik, Carlos Felipe Blanco, Martina G. Vijver, Willie J.G.M. Peijnenburg, Paul Behrens, Stefano Cucurachi
article en
12 citations

Abstract

Abstract 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.

Journal of Industrial EcologyVol. 29(1)
Leiden University (NL), Netherlands Organisation for Applied Scientific Research (NL), National Institute for Public Health and the Environment (NL)
European Commission, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek, European Research Council, Rijksinstituut voor Volksgezondheid en Milieu, HORIZON EUROPE European Innovation Council
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Technology Assessment and Management
4.37
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