A methodology for determining the dynamic exchange of resources in nuclear fuel cycle simulation

13935 15 74063 4 203887 document 74063 A methodology for determining the dynamic exchange of resources in nuclear fuel cycle simulation.pdf application/pdf bf7109d0fd8c7005231d2371f4441469 MD5 1002121 2016-11-18 07:25:03 https://pure.iiasa.ac.at/id/eprint/13935/1/A%20methodology%20for%20determining%20the%20dynamic%20exchange%20of%20resources%20in%20nuclear%20fuel%20cycle%20simulation.pdf 13935 1 1 application/pdf text en public cc_by_nc_nd

A methodology for determining the dynamic exchange of resources in nuclear fuel cycle simulation.pdf

accepted 74064 2 203892 document 74064 lightbox.jpg image/png 20ccb3e7920160d94416d0b887ee99bf MD5 29819 2016-11-18 07:35:16 https://pure.iiasa.ac.at/id/eprint/13935/2/lightbox.jpg 13935 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en staffonly

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/74063 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/74063 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/74063 archive 353 disk0/00/01/39/35 2016-11-15 07:27:52 2021-08-27 17:27:59 2016-11-15 07:27:52 article show Gidden M.J. 2108 0000-0003-0687-414X Wilson P.H. A methodology for determining the dynamic exchange of resources in nuclear fuel cycle simulation pub prog_ene Nuclear fuel cycle; Optimization; Agent-based modeling Simulation of the nuclear fuel cycle can be performed using a wide range of techniques and methodologies. Past efforts have focused on specific fuel cycles or reactor technologies. The CYCLUS fuel cycle simulator seeks to separate the design of the simulation from the fuel cycle or technologies of interest. In order to support this separation, a robust supply–demand communication and solution framework is required. Accordingly an agent-based supply-chain framework, the Dynamic Resource Exchange (DRE), has been designed implemented in CYCLUS. It supports the communication of complex resources, namely isotopic compositions of nuclear fuel, between fuel cycle facilities and their managers (e.g., institutions and regions). Instances of supply and demand are defined as an optimization problem and solved for each timestep. Importantly, the DRE allows each agent in the simulation to independently indicate preference for specific trading options in order to meet both physics requirements and satisfy constraints imposed by potential socio-political models. To display the variety of possible simulations that the DRE enables, example scenarios are formulated and described. Important features include key fuel-cycle facility outages, introduction of external recycled fuel sources (similar to the current mixed oxide (MOX) fuel fabrication facility in the United States), and nontrivial interactions between fuel cycles existing in different regions. 2016-12-15 published Elsevier doi:10.1016/j.nucengdes.2016.10.029 103 public Nuclear Engineering and Design 310 378-394 TRUE 0029-5493 FALSE no info:eu-repo/semantics/article