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Mississauga, Canada

Candu Energy Inc. is a Canadian wholly owned subsidiary of Montreal-based SNC-Lavalin Inc., specializing in the design and supply of nuclear reactors, as well as nuclear reactor products and services. Candu Energy Inc. was created in 2011 when parent company SNC-Lavalin purchased the commercial reactor division of Atomic Energy of Canada Limited , along with the development and marketing rights to CANDU reactor technology.Candu Energy Inc. is located in Mississauga, Ontario, Canada. Candu Energy lists its main business lines as: CANDU life extension CANDU maintenance and performance services CANDU new buildThe reactor products offered by Candu Energy Inc. are the CANDU 6 and Enhanced CANDU 6 reactors. Candu Energy Inc. also specializes in advanced fuel cycle technology that exploits the fuel cycle flexibility of the CANDU design, including fuels based on Recovered Uranium from Light Water Reactors and Mixed-Oxide fuel incorporating thorium or plutonium.In 2014, Preston Swafford was hired to lead the company as its Chief Nuclear Officer, President & CEO. Also in 2014, Candu Energy increased sharing of human resources with SNC-Lavalin. Wikipedia.


Kastanya D.,Candu Energy Inc.
Nuclear Engineering and Design | Year: 2015

In CANDU® reactors, the regional overpower protection (ROP) systems are designed to protect the reactor against overpower in the fuel which could reduce the safety margin-to-dryout. In the CANDU® 600 MW (CANDU 6) design, there are two ROP systems in the core, each of which is connected to a fast-acting shutdown system. Each ROP system consists of a number of fast-responding, self-powered flux detectors suitably distributed throughout the core within vertical and horizontal flux detector assemblies. The placement of these ROP detectors is a challenging discrete optimization problem. In the past few years, two algorithms, DETPLASA and ADORE, have been developed to optimize the detector layout for the ROP systems in CANDU reactors. These algorithms utilize the simulated annealing (SA) technique to optimize the placement of the detectors in the core. The objective of the optimization process is typically either to maximize the TSP value for a given number of detectors in the system or to minimize the number of detectors in the system to obtain a target TSP value. One measure to determine the robustness of the optimized detector layout is to evaluate the maximum decrease (penalty) in TSP value when any single detector in the system fails. The smaller the penalty, the more robust the design is. Therefore, in order to ensure that the optimized detector layout is robust, the single detector failure (SDF) criterion has been incorporated as an additional constraint into the ADORE algorithm. Results from this study indicate that there is a significant reduction in the TSP penalty value of the optimized solution, as a result of incorporating SDF criterion during the optimization process. © 2015 Elsevier B.V. All rights reserved. Source


Reinhardt W.,Candu Energy Inc. | Adibi-Asl R.,University of Toronto
Journal of Pressure Vessel Technology, Transactions of the ASME | Year: 2014

Several methods were proposed in recent years that allow the efficient calculation of elastic and elastic-plastic shakedown limits. This paper establishes a uniform framework for such methods that are based on perfectly-plastic material behavior, and demonstrates the connection to Melan's theorem of elastic shakedown. The paper discusses implications for simplified methods of establishing shakedown, such as those used in the ASME Code. The framework allows a clearer assessment of the limitations of such simplified approaches. Application examples are given. © 2014 by ASME. Source


Kastanya D.,Candu Energy Inc.
Annals of Nuclear Energy | Year: 2013

The ADORE algorithm has been developed for optimizing the regional overpower protection (ROP) detector layout in CANDU® reactors. In the original development of this algorithm, the simulated annealing (SA) technique was used as its optimization engine. More recently, the genetic algorithm (GA) variant of the ADORE algorithm has been developed, called ADORE-GA. There are several user-defined parameters used during each optimization run using GA, one of them is the mutation rate introduced in each generation. Results from evaluating the performance of ADORE-GA against various mutation rates within the GA technique are presented in this paper. © 2012 Elsevier Ltd. All rights reserved. Source


Kastanya D.,Candu Energy Inc.
Annals of Nuclear Energy | Year: 2013

ADORE is an algorithm developed recently as a part of toolsets used for designing the regional overpower protection (ROP) systems in CANDU reactors. The ADORE algorithm utilizes the simulated annealing (SA) technique as its optimization engine to optimize the placement of the ROP detectors in the core. Within the implementation of the SA technique, there are many user-defined parameters which could be fine-tuned to help attaining the "best" quasi-optimal solution to an optimization problem. The SA parameter of interest evaluated in this study is the temperature reduction or cooling schedule. Five different schedules have been evaluated and the results are presented in this paper. The results indicate that the cooling schedule where the temperature is reduced exponentially performs the best. © 2013 Elsevier Ltd. Source


Kastanya D.,Candu Energy Inc.
Annals of Nuclear Energy | Year: 2014

In introductory courses for nuclear engineering, the concept of critical dimension and critical mass are introduced. Students are usually taught that the geometrical shape which needs the smallest amount of fissionable material to reach criticality is a sphere. In this paper, this concept is explored further using MCNP code. Five different regular polyhedrons (i.e.; the Platonic solids) and a sphere have been examined to demonstrate that sphere is indeed the optimal geometrical shape to minimize the critical mass. For illustration purpose, the fissile isotope used in this study is 239Pu, with a nominal density of 19.8 g/cm3. © 2014 Elsevier Ltd. All rights reserved. Source

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