Scaling and Learning in Nuclear Energy (Presented at the Workshop on Size and Productive Efficiency: The Wider Implications, IIASA, 25-29 June 1979)

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CP-80-017.pdf

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CP-80-017.pdf

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1550 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1550 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1550 archive 351 disk0/00/00/14/93 2016-01-15 01:48:50 2021-08-27 17:10:05 2016-01-15 01:48:50 monograph show 2 Spinrad B.I. AL0370 Scaling and Learning in Nuclear Energy (Presented at the Workshop on Size and Productive Efficiency: The Wider Implications, IIASA, 25-29 June 1979) pub iis_ene iis_met prog_sds prog_enp Scaling is necessarily a function of learning. At any given time, there is a size above which we can't build. Some of the reasons are external -- a limited market, for example -- but some are clearly internal. We don't know how to build it, as with steel pressure vessels above a certain size and pressure capability; or, if we think we know how to build, we sometimes don't know how to do it economically -- as with sodium-to-steam heat exchanges of large capacity. Sometimes, the connection of risks in one package gets too big to handle -- thus the imposition of a capacity limit on light-water reactors in the United States. And there are doubtless other reasons for things being "too big to build". All these limitations change with time. We can learn how to avoid or overcome them, or in some instances to ignore them as they turn out to be mental rather than physical limits. 1980-07 published CP-80-017 CP-80-017 2413 public collaborative_paper IIASA, Laxenburg, Austria 32 FALSE info:eu-repo/semantics/book