Results 21 to 30 of about 1,246,840 (403)
Some aspects of the VVER-440 reactor plant life re-extension: a case study of the Novovoronezh NPP Unit 4 [PDF]
The re-modernization of Unit 4 at the Novovoronezh NPP (Novovoronezh-4) made it possible to take a new approach to the problem of extending the VVER-440 reactor plant life and operation. The authors analyze the existing problems of the VVER-440/179 power
Vladimir P. Povarov+2 more
doaj +3 more sources
Plant efficiency: a sensitivity analysis of the capacity factor for fusion power plants with high recirculated power [PDF]
The plant efficiency of a nuclear fusion power plant is considered. During nominal operation, the plant efficiency is determined by the thermodynamic efficiency and the recirculated power fraction. However, on average the reactor operates below the nominal power, even when the long shutdown periods for large maintenance are left outside the averaging ...
arxiv +1 more source
Influence of operating time on the corrosion in single-phase and two-phase media [PDF]
Modern foreign computer codes predict a linear growth in the pipeline wall thinning with time due to the process of flow-accelerated corrosion (FAC), i.e. erosion-corrosion wear (ECW).
Valery I. Baranenko+2 more
doaj +3 more sources
Causes of Design Change Depending on Power Project-Types in Ghana
Design change is a common but significant problem in construction projects. Issues of delay, cost overruns, claims, and disputes in projects occur as a result. However, design change studies in the power-project area are less often discussed. As a result,
Elikplim Afelete, Wooyong Jung
doaj +1 more source
Exploring $$\hbox {CE}\nu \hbox {NS}$$ with NUCLEUS at the Chooz nuclear power plant [PDF]
Coherent elastic neutrino–nucleus scattering ($$\hbox {CE}\nu \hbox {NS}$$CEνNS) offers a unique way to study neutrino properties and to search for new physics beyond the Standard Model.
G. Angloher+56 more
semanticscholar +1 more source
In this paper the use of machine learning (ML) is explored as an efficient tool for uncertainty quantification. A machine learning algorithm is developed to predict the peak cladding temperature (PCT) under the conditions of a large break loss of coolant
Wazif Sallehhudin, Aya Diab, Aya Diab
doaj +1 more source
Expanding Moment Magnitude Pools for Earthquake Magnitude Homogenization
A comparison on the influence of different moment magnitude pools on magnitude homogenization regressions was presented. The control moment magnitude pool is composed of earthquake records from GCMT.
Ausatha Rabbanny Yanto, Eric Yee
doaj +1 more source
Delay Causes and Types in Nigerian Power Construction Projects
Numerous events cause delays to entire power projects’ completion timelines, leading to loss. This paper focuses on revealing the critical delay causes in Nigerian power projects and identifying the delay types such as excusable delay, compensable delay,
Usman Ismaila+2 more
doaj +1 more source
Acceleration Analysis of Canned Motors for SMR Coolant Pumps
An SMR (small modular reactor) is expected to be able to operate flexibly in conjunction with a high renewable energy penetration grid as a result of improved safety and easy power control compared to large nuclear power plants. SMRs, such as South Korea’
Timothy Ngumbi Kanyolo+2 more
doaj +1 more source
Using multi-criteria analysis to select an energy source [PDF]
Multi-criteria analysis is widely used to solve various technical and economic problems. There are a large number of applications of multi-criteria analysis. Methods for evaluating the total set of criteria have been investigated.
Koltun Oleg+2 more
doaj +1 more source