Ambiguities in Decision-oriented Life Cycle Inventories: The - download pdf or read online

By Frank Werner

In an environmental lifestyles cycle evaluate of goods (LCA), an unambiguous, scientifically established, ‘objective’ attribution of fabric and effort flows to a product is natural fiction. this can be because of the basic epistemological stipulations of LCA as a modelling method lower than the complexity of our socio-economic procedure. in its place, quite a few psychological versions and values consultant this attribution. This results in a practical version in a particular selection state of affairs. This e-book exhibits for the 1st time how psychological types and values impact this attribution within the lifestyles cycle stock step of LCA. one of many key findings is that the various administration principles for a sustainable use of fabrics has to be taken under consideration for the attribution of fabric and effort flows to a product. another way, development recommendations advised through an LCA could end up to even irritate the environmental state of affairs if reassessed from a meta-perspective. because of this ebook, the declare of unambiguitiy (‘objectivity’) of the lifestyles cycle stock needs to be deserted. A group-model construction technique for LCA is built that enables one to know the choice makers' psychological types and values within the stock research on a case- and situation-specific foundation. merely via this, LCA effects turns into proper in a decision-making strategy. case stories at the modelling of recycling and different end-of-life strategies of aluminium home windows and beech wooden railway sleepers in LCA supplement the methodological half. This booklet is a ‘must have’ for researchers, experts and practitioners within the fields of decision-oriented existence cycle review in addition to product-related environmental administration, modelling and decision-making.

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Ambiguities in Decision-oriented Life Cycle Inventories: The Role of Mental Models and Values: 17 (Eco-Efficiency in Industry and Science) by Frank Werner

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