We propose a method for generating distributed implementations from high-level models expressed in terms of a set of components glued by rendezvous interactions. the method is a 2-phase transformation preserving all f...
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In the context of the prosperous development of Proteomics in life science, protein quantification, especially these based on Mass Spectrometry (short for MS) method, becomes an essential part of research. In our prev...
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A parallel octree-based mesh generation method is proposed to create reasonable-quality, geometryadapted unstructured hexahedral meshes automatically from triangulated surface models. We present algorithms for the con...
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Experiments play an important role in parallel and distributed computing. Simulation is a common experimental technique that relies on abstractions of the tested application and execution environment but offers reprod...
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All stand-alone distributed generation systems require an energy buffer to bridge the mismatch between available and required energy. the lead acid battery, which has a high energy density, is the most popular form of...
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ISBN:
(纸本)9781424450466
All stand-alone distributed generation systems require an energy buffer to bridge the mismatch between available and required energy. the lead acid battery, which has a high energy density, is the most popular form of energy storage utilized. Nevertheless, it is impossible to supply the load with an instantaneous large power, due to its low power density. Accordingly, in this paper, a new hybrid energy storage system which is composed of battery and electrical double layer capacitor (EDLC) connected in parallel is established, it could make the best use of the characteristics of high energy density of battery and high power density, long circle life of EDLC. A buck and a bi-directional converter are also proposed to charge the battery and the EDLC with an additional function to stabilize the DC bus voltage. In comparison withthe battery alone energy storage system, the proposed scheme can significantly improve the performance of the distributed generation system, enhance the energy using efficiency and reduce the battery capacity. Furthermore, the life of the battery can be lengthened for the reduced charging/recharging frequency of the battery when the generated power and the load power vary quickly. the high stability and high efficiency of the proposed system is verified through simulation and experiment results under various conditions.
the Soil and Water Assessment Tool (SWAT) has been used widely for large scale applications, reaching entire continents. Within the EU funded EnviroGrids project, a detailed application of SWAT on the Black Sea Basin ...
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ISBN:
(纸本)9788890357411
the Soil and Water Assessment Tool (SWAT) has been used widely for large scale applications, reaching entire continents. Within the EU funded EnviroGrids project, a detailed application of SWAT on the Black Sea Basin is envisaged using high resolution data. In order to support the computation, the model is run on a computer grid. the use of the SWAT allowed for such computations with little adaptations to the source. A 3-step procedure is needed. In the first step, a program is run in order to split the model into several sub-models. Afterwards, the sub-models are run in parallel. In a last step, the outputs of the sub-basins are collected at a central computer and the routing is performed. High computations are also needed when simulations have to be repeated, such as for sensitivity, calibration and uncertainty analysis. In these cases, the simulations are repeated for different parameter sets. In this paper, we discuss the gridification of the algorithm "LH-OAT" that performs sensitivity analysis and has been linked to the SWAT model. the results show a clear improvement in calculation time. Nevertheless, it is concluded that the parallel computing of a distributed model is mainly beneficial for large scale applications with high resolution, while running the sensitivity analysis algorithm has more general and obvious benefit. In a next step, the gridification will be optimised depending on the application and the overheads that are due to submission and receiving of files, as well as potential waiting times for executions on the grid.
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