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A feature-based life cycle modeling approach is proposed to address life cycle representation, retrieval and integration of valuable data from current computer aided engineering tools, and formulation of relations between various product and process design factors and product environmental impact indicators for sustainability improvement analysis.
Building on strategies from traditional environmental risk analysis for identifying research objectives, bounding problems, articulating uncertainties, and defining endpoints for analysis, we model complex and dynamic interactions of nanomaterials with the environment, and address life cycle considerations while reflecting the uncertainties in the current state of the science.
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Through a comprehensive literature review, 33 TBL SPIs were identified to address the life cycle sustainability performance of buildings.
In this work, we address the life cycle economic and environmental optimization of a supply chain network considering both design and operational decisions under uncertainty.
The evaluation of reclamation alternatives should address the life cycle impacts of the design, namely costs, resource requirements, ecosystem services, energy needs, etc., involved in implementing both the cleanup operations and extensive monitoring programs.
We present a building design optimization methodology that has been developed to address issues that researchers and engineers are currently facing when addressing the life cycle optimization of Nearly Zero Energy Buildings (NZEBs).
The present study is addressing the life cycle assessment of a novel design multi-digester anaerobic bioenergy plant.
Due to its complexity stemming from its inherent exposure to variable environmental loads and its multi-functionality, the framework focuses on addressing the life cycle of the building enclosure system.
LCC is a method for addressing the life cycle based costs for the products or services considered, thus including costs for operation, service, maintenance and waste.
It was then subsequently used to co-develop a new evaluation plan that addressed the life cycle of adoption of a provincial HIS.
Technologies that address model visualization, life cycle management and retraining can help.
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