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Study: New U.K. nuclear likely to be lower carbon source than solar or wind
A recent study of life cycle carbon emissions at the United Kingdom’s Hinkley Point C nuclear plant finds that the facility, now under construction in Somerset, England, is likely to produce less CO2 over its lifetime than either solar or wind power.
According to the 70-page analysis—prepared by environmental consultancy Ricardo Energy & Environment for NNB Generation Company HPC Limited, the holding company for the Hinkley Point project—lifetime emissions from Hinkley Point C are likely to be about 5.5g CO2e per kWh. That amount also holds for the proposed Sizewell C plant, the study concludes. (The two 1,630-MWe EPRs at Hinkley Point C are currently scheduled to begin commercial operation in 2026 and 2027.)
Jorge Navarro, Terry A. Ring, David W. Nigg
Nuclear Technology | Volume 190 | Number 2 | May 2015 | Pages 183-192
Technical Paper | Fuel Cycle and Management | dx.doi.org/10.13182/NT14-4
Articles are hosted by Taylor and Francis Online.
A deconvolution methodology aimed to reduce the uncertainty for nondestructively predicting fuel burnup using gamma spectra collected with LaBr3 scintillators was developed. Deconvolution techniques have been used in the past to improve photopeak resolution of data collected using gamma detectors; however, they have not been used as a tool to more accurately predict fuel burnup. The deconvolution methodology consisted of calculating the detector response function using Monte Carlo simulations, validating the detector response function against experimental data, and implementing the maximum likelihood expectation maximization algorithm to enhance the LaBr3 gamma spectra. The deconvolution methodology was first tested on single-isotopic simulated data; later it was applied to fuel simulated data that were based on Advanced Test Reactor (ATR) fuel gamma spectra. The study showed that LaBr3 gamma spectra photopeak resolution and quality can be improved significantly using deconvolution methods, in addition to proving that enhancement techniques can be used to nondestructively predict ATR fuel burnup more accurately than using LaBr3 data without enhancements.