Long-term Stochastic Forecasting of the Nuclear Energy Global Market

Vladimir Kharitonov, Uliana Kurelchuk and Sergey Masterov
Additional contact information
Vladimir Kharitonov: National Research Nuclear University «MEPhI» (NRNU MEPhI) Address: 31, Kashirskoe sh., Moscow, 115409, Russian Federation
Uliana Kurelchuk: National Research Nuclear University «MEPhI» (NRNU MEPhI) Address: 31, Kashirskoe sh., Moscow, 115409, Russian Federation
Sergey Masterov: NIAEP–ASE (Atomstroyexport) united company. Address: 2, Dmitrovskoe sh., Moscow, 127434, Russia

Foresight-Russia Форсайт, 2015, vol. 9, issue 2 (eng), 58-71

Abstract: As a result of a number of catastrophic events in the nuclear energy sector, the increasing attention paid to the industry has acquired an undesirable and negative nuance. At the same time, this key economic industry — with high innovation potential — has achieved significant progress in making energy production more efficient and reducing production costs. The authors of this article set out their own model to assess the future state of the nuclear energy market and present the results of their calculations of the expected volumes up to 2035, with several significant implications for policy changes in this sphere.

Keywords: stochastic forecasting; nuclear energy market; NPP installed capacity; NPP construction; NPP decommissioning; natural and enriched uranium; uranium isotope separation work; Monte- Carlo method; variance (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://cyberleninka.ru/article/n/long-term-stochas ... energy-global-market

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:scn:013126:16380743

Access Statistics for this article

More articles in Foresight-Russia Форсайт from CyberLeninka, Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики»
Bibliographic data for series maintained by CyberLeninka ().