Using Life Cycle Thinking Approaches for Energy Price Sensitivity Analysis Along the Value ChainPresented at 1ST INTERNATIONAL CONFERENCE ON SUSTAINABLE INTELLIGENT MANUFACTURING, Leiria, Portugal, June 28-july 1, 2011. Also in print SIM2011 - Sustainable Intelligent Manufacturing ISBN : 978-989-8481-03-0
Authors: Stefan Albrecht, Hannes Krieg (University ofStuttgart) Thilo Kupfer (LCS Life Cycle Simulation GmbH) Jan Paul Lindner(Fraunhofer Institute for Building Physics)
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The commercial availability of resources and preliminary products is of vital importance for the industry. One aim of manufacturing companies is to know about structural dependencies in the availability of resources within the entire value chain of their product sand to also not only know about environmental impacts of a product but also to have information about the economic life cycle and the value chain.
Life Cycle Costing (LCC) is a technique to evaluate the cost of a product over its entire life cycle. Existing approaches give no sufficient answer on how input price alterations in up stream processes influence the value chain costs of materials. But for decision makers, it is crucial to know e.g. at what oil price investments in new materials or the change of feedstock from fossil to renewable become profitable from a life cycle perspective.
Therefore, a new approach is suggested, combining LCC and Life Cycle Assessment (LCA). LCA provides the fundamental basis (a functional system model with energy and mass flow balances of all upstream processes)which is enhanced with economic parameters. It basically combines most of the elements of Life Cycle Assessment, environmental Life Cycle Costing according to the method suggested by SETAC and Total Cost of Ownership but restrictions of the respective methods can be avoided.
The paper will describe the procedure of modelling, an exemplary process model and combined static LCA and dynamic LCC results for insulation materials along the value chain the product. The model is validated using alternating energy prices.
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