51 research outputs found
Impacts assessment and tradeoffs of fuel cell based auxiliary power units: Part II: Environmental and health impacts, LCA, and multi objective optimization
No full textImpacts assessment and trade-offs of fuel cell-based auxiliary power units. Part I: System performance and cost modeling
No full textAbstract Auxiliary power units are devices that can provide all or part of the non-propulsion power for vehicles (space conditioning/heating, refrigeration, lighting, etc.). In the first part of this series of two papers on this topic, an integrated framework to identify and quantify trade-offs between cost effectiveness, efficiency, and environmental and health impacts of fuel cell power systems has been introduced. The present work concludes the description of the framework analyzing the components not discussed in part I: environmental impact assessment, health impact assessment, life cycle assessment (LCA), and multi-objective optimization. At the end of the paper the results obtained from the simulation of a base case design are presented and discussed
The Application of Life Cycle Assessment to Process Selection, Design and Operation
No full textThis is the first compilation of methods, tools and models that can be used to design products and manufacturing processes that prevent pollution from occurring in the first place, rather than treating the wastes after they are formed
The Application of Life Cycle Assessment to Process Selection, Design and Operation
No full textThis is the first compilation of methods, tools and models that can be used to design products and manufacturing processes that prevent pollution from occurring in the first place, rather than treating the wastes after they are formed
A hybrid one-then-two stage algorithm for computationally expensive electromagnetic design optimization
No full textA novel kriging-assisted algorithm is proposed for computationally expensive single-objective optimization. The principle behind the algorithm is to use information about objective function space at the earliest possible opportunity. After constructing a very small experimental design, a one-stage optimization algorithm is used to select further points to evaluate in design variable space. These points are then used in lieu of a traditional space-filling experimental design to construct the initial kriging model for a normal two-stage optimization algorithm
An Efficient Algorithmic Framework for Environmental Modeling
No full textEnvironmental systems often involve nonlinear models, continuous as well discrete decisions, and multiple objectives. Uncertainties are inherent in these models increasing the complexity of decision making further. This paper presents an efficient algorithmic framework for environmental decision making for large scale systems involving multiple objectives in the face of uncertainties
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