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Erratum to: Dynamic life cycle assessment: framework and application to an institutional building

TLDR
Comparison of results from static and DLCA models, using the TRACI method, shows that DLCA results are classified into four categories: original construction materials; prerenovation operations; renovation and addition materials; and post-renovation operation 2009 through end of lifetime.
Abstract
Fig. 3 Comparison of results from static and DLCA models, using the TRACI method. Results are normalized to the total static LCA results for each category. Static LCA results were calculated as the total of the initial construction and projection of the initial year’s operating energy consumption for the 75-year life of the building. DLCA results are classified into four categories: original construction materials; prerenovation operations (operating energy consumption through 2008); renovation and addition materials; and post-renovation operations (operating energy consumption 2009 through end of lifetime). GW global warming potential, AC acidification potential, CA human health cancer effects, NC human health noncancer effects, RE human health respiratory effects, EU eutrophication, OD ozone depletion potential, ET ecotoxicity, PO photochemical smog, NREU nonrenewable energy use The online version of the original article can be found at http://dx.doi.org/ 10.1007/s11367-012-0528-2.

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Comparison of energy-based indicators used in life cycle assessment tools for buildings

TL;DR: In this paper, an up-to-date comparison of energy-based indicators in tools for building assessment, including those that report both conventional life cycle energy and those that also include a wider system boundary that captures energy use even further upstream.
Journal ArticleDOI

A tool to operationalize dynamic LCA, including time differentiation on the complete background database

TL;DR: The feasibility of dynamic LCA, including full temporalization of background system, was demonstrated through the development of a web-based tool and temporal database and it was showed that considering temporal differentiation across the complete life cycle, especially in the Background LCI system, can significantly change the LCA results.
Journal ArticleDOI

Quantifying the environmental impact of an integrated human/industrial-natural system using life cycle assessment: a case study on a forest and wood processing chain

TL;DR: A case study was performed on a TES of sawn timber production encompassing wood growth in an intensively managed forest ecosystem and further industrial processing and results show that the managed forest accounted for almost all resource usage and biodiversity loss through land occupation but also for a remediating effect on human health, mostly via capture of airborne fine particles.
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