Agneta Ghose results 7
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Extension and validation of forest carbon flux model for dynamic Life Cycle AssessmentNARA Subscribed
Purpose Improving the life-cycle assessment (LCA) of forestry products is important for accounting for the environmental impacts of the transition to a sustainable bioeconomy. Performing accurate biogenic carbon accounting, building time-dependent inventories, and using dynamic impact assessment methods is increasingly required from LCA practitioners. This work documents the development and validation of a managed forest datab...
Competitiveness analysis to identify marginal suppliers in consequential LCA: a seaweed caseNARA Subscribed
Purpose Even if several methods exist in consequential LCA to identify marginal suppliers, specific limitations remain, such as extensive data and processing requirements, a weak linkage with existing economic concepts, and limited fit to the case of emerging products. To address these limitations, this study instead investigates use of competitiveness, an established economic concept, to identify marginal suppliers. It propos...
Aim The purpose of this study is to assess the status quo of data sharing in LCA in relation to the FAIR (findability, accessibility, interoperability, and reuse) data principles. Methods This study investigates how is LCA data from publicly funded research currently shared. Firstly, the focus is on life cycle inventory data shared in journal articles. Given that FAIR data sharing is not only the responsibility of the LCA prac...
Purpose Demand for Environmental Product Declarations (EPDs) is already high and increasing in the construction and building sectors. The overall purpose of EPDs is comparability of product environmental performance, and they are thus developed in accordance with product category rules (PCRs): requirements and guidelines for how to make EPDs for one or more product groups. Since several organisations publish PCRs, there is a r...
A core ontology for modeling life cycle sustainability assessment on the Semantic WebNARA Subscribed
The use of Semantic Web and linked data increases the possibility of data accessibility, interpretability, and interoperability. It supports cross‐domain data and knowledge sharing and avoids the creation of research data silos. Widely adopted in several research domains, the use of the Semantic Web has been relatively limited with respect to sustainability assessments. A primary barrier is that the framework of the principles...
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