SearcharxivSearch

arXiv · 1101.4189

The Future of Nuclear Energy: Facts and Fiction: An update using 2009/2010 Data

Abstract

An update of our 2009 study, "The Future of Nuclear Energy, Facts and Fiction" using the 2009 and the available 2010 data, including a critical look at the just published 2009 edition of the Red Book, is presented. Since January 2009, eight reactors with a capacity of 4.9 GWe have been connected to the electric grid and four older reactors, with a combined capacity of 2.64 GWe have been terminated. Furthermore, 27 reactor constructions, dominated by China (18) and Russia (4), have been initiated. The nuclear fission produced electric energy in 2009 followed the slow decline, observed since 2007, with a total production of 2560 TWhe, 41 TWhe (1.6%) less than in 2008 and roughly 100 TWhe less than in the record year 2006. The preliminary data from the first 10 months of 2010 in the OECD countries indicate that nuclear power production in North-America remained at the 2009 levels, while one observes a recovery in Europe with an increase of 2.5% and a strong rise of 5% in the OECD Asia-Pacific area compared to the same period in 2009. Worldwide uranium mining has increased during 2009 by about 7000 tons to almost 51000 tons. Still roughly 18000 tons of the 2010 world uranium requirements need to be provided from the civilian and military reserves. Perhaps the most remarkable new data from the just published 2009 edition of the Red Book, are that (1) the best understood RAR (reasonable assured) and IR (inferred) resources, with a price tag of less than 40 US dollars/Kg, have been inconsistently absorbed in the two to three times higher price categories and (2) uranium mining in Kazakhstan is presented with a short lifetime. The presented mining capacity numbers indicate an uranium extraction peak of 28000 tons during the years 2015-2020, from which it will decline quickly to 14000 tons by 2025 and to only 5000-6000 tons by 2035.

Explore related subjects

Keep this discovery

BibTeXRIS

Michael Dittmar. 2011-01-21. The Future of Nuclear Energy: Facts and Fiction: An update using 2009/2010 Data. https://arxiv.org/abs/1101.4189

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Energy pathway variety and the progress of the energy transition in European countries

The integration of new energy forms into existing energy infrastructure has emerged as a critical challenge in the context of the pursuit of a sustainable energy transition. One of the main challenges is understanding how this integration takes place not only from the introduction, but also as energy follows existing paths or creates new ones through which it is transformed and used by different activities. Here we introduce techniques from network science to analyse this process for the case of 29 European countries between 1992 and 2021. We study how new energy forms increase or decrease the variety (heterogeneity) of paths through the system of each country by establishing new ones and replacing or phasing out existing ones. We find that the transition to systems based on renewable energy is characterised by an initial increase in the variety of paths while the heterogeneity of paths decreases at the end of the transition, when the proportion of non-renewables in the system tends to zero. We then demonstrate that greater heterogeneity (complexity) is associated with larger annual fluctuations in the proportion of non-renewable sources in the system, establishing a direct relationship between the progress of the transition and the complexity of the energy system in which it occurs. This contributes to the understanding of general properties of the dynamics of the energy transition and effects that accelerate or deter it.

physics.soc-ph

Fundamental limits to identifying node and tie memory in temporal networks: marginal artefacts and spreading dynamics

Temporal-network models attribute memory in contact data to either node self-excitation (branching ratio n_node) or tie reinforcement (kappa), carrying major consequences for epidemic spreading. We prove that when event initiators are observed, the two mechanisms are orthogonal: the Fisher information is block-diagonal and neither trades off against the other. In undirected proximity data, where initiators are unobserved, marginalising over them couples the mechanisms into a structural confound that survives posterior smoothing. On empirical proximity, messaging, and email records, however, a cruder failure dominates: fitted node memory is pinned to the inter-event marginal law and remains virtually invariant across latent label posterior samples (coefficient of variation below 1%). An inter-event-order shuffle test and burstiness-memory diagnostics reveal that exponential-Hawkes node memory is recovered from none, while tie reinforcement remains identifiable throughout. This near-unidentifiability is intrinsic, not an artefact of the exponential kernel: refitting flexible scale-free (sum-of-exponentials) kernels on synthetic power-law self-exciting processes fails to distinguish genuine node memory from memoryless renewal controls, with identical collapses recurring on algorithmic networks (edit bots, cloud microservices) and cortical spiking. Downstream epidemic consequences are quantitative: simulations fitted to empirical contact records under-predict outbreak sizes by up to a factor of 2.5 and shift the epidemic threshold. We conclude that observational temporal networks face a two-fold identifiability boundary: contact directionality is essential to decouple tie reinforcement, whereas heavy-tailed node self-excitation is intrinsically unidentifiable from contact timings alone.

physics.soc-ph

Assessing extreme flood impacts on urban rail transit: A passenger-oriented, resilience-informed framework

Urban rail transit systems (URTSs) are increasingly exposed to extreme floods following heavy precipitation, yet passenger travel impacts are often assessed through delay-based indicators that overlook infeasible journeys under large-scale disruptions. This study develops a passenger-oriented, resilience-informed framework for assessing flood impacts on URTS journeys from disruption onset to recovery completion. The framework presents a novel six-category classification of journey impacts, explicitly considering rerouting, alternative station use, and a delay threshold. It is demonstrated through hourly dynamic simulations of 15 London URTS lines under 30-year, 100-year, and 1,000-year flood risk scenarios. Results indicate that severe flood disruptions lead to substantial unsatisfied demand, driven primarily by unavailable routes rather than unacceptable delays. Compared with finer behaviour adjustments, rerouting dominates travel impacts. These findings highlight the significance of moving beyond delay-based assessment and provide valuable evidence on essential behavioural mechanisms for strategic-level stress testing intended to inform URTS flood resilience intervention planning.

physics.soc-ph