Abstract

Canadian Nuclear Laboratories (CNL) is collaborating in the Joint European Canadian Chinese Development of Small Modular Reactor Technology (ECC-SMART) project to understand the corrosion behavior of the most promising candidate materials for a future supercritical water-cooled – small modular reactor (SCW-SMR). To support this aim and the project's requirements, the present study develops a costing method for assessing the impact of corrosion in a power generation cost model. This cost model builds on a methodological study of various corrosion engineering economics topics in nuclear power generation, such as the expected fuel cladding corrosion phenomena in a supercritical water-cooled reactor (SCWR) concept and estimating the main corrosion costs categories. This understanding is incorporated in a power generation cost model that applies the revenue requirements approach to life cycle costing (LCC). The LCC includes the main corrosion cost categories and a reliability factor used in assessing power generation costs, the costing of chemical species for controlling corrosion, and the present worth of revenue requirements. The method and model, therefore, provide a framework for understanding the kind of information available and needed for taking economical preventative corrosion measures for the current generation of water-cooled reactors and advanced reactors, such as the SCWR.

1 Introduction

An old adage on corrosion is that “an ounce of prevention is worth a pound of cure” [1]. To take economical preventative measures—consistent with pro-active planning [2]—requires an understanding of corrosion phenomena, corrosion control, and their corresponding costs [1,2]. The old adage is expected to apply to advanced nuclear reactor concepts under research and development (R&D) in the Generation IV International Forum (GIF), such as the supercritical water-cooled reactor (SCWR) concept.

Currently, Canadian Nuclear Laboratories (CNL) has an R&D project that aims to develop a model to predict corrosion growth more accurately, and to assess the impact of corrosion on the performance and costs of a small modular Canadian SCWR concept. As part of the first aim, the project's objectives focus on the corrosion of various material candidates in the reactor plant under supercritical conditions, for instance, the general corrosion of chromium-coated zirconium-based and titanium-based alloys [35]. A motivation for considering an alternative fuel cladding alloy to a zirconium-based alloy is that “[w]hile zirconium alloys have a low neutron capture cross section and remain the preferred fuel cladding alloy choice from the perspective of neutron economy, it has been long known that these alloys experience unacceptably high corrosion rates” [69] in supercritical water (SCW). To support the project, the present investigation aims to identify the economic methods for understanding the impact of corrosion on costs in an SCWR concept.

In addition, the current project supports CNL's collaboration with international partners in the Joint European Canadian Chinese Development of Small Modular Reactor Technology (ECC-SMART) project, which was “created according the joint research activities under the International Atomic Energy Agency” and the GIF umbrella [10]. A part of the ECC-SMART project's main technical objective is to gain an “understanding of the corrosion behavior of the most promising candidate materials at different conditions to support the qualification procedure of the future SCW-SMR [supercritical water-cooled-small modular reactor] constructional materials and assess the relation to the existing standards and guidelines” [11]. Addressing this knowledge gap and challenge is part of the ECC-SMART project's task of developing conceptual design requirements, of which CNL is expected to contribute. Hence, the present study on costing methods for understanding corrosion and its impact on performance in an SCWR concept will also support CNL's on-going participation in the ECC-SMART project.

There are currently no corrosion economics studies for any SCWR concept that can be used to support the CNL and ECC-SMART projects. Moreover, the SCW-SMR concept remains under development, and nuclear economics studies on corrosion are fragmented. To cope with these limitations, the present study reviews SCWR corrosion phenomena and major cost categories on corrosion to gather information useful for identifying a cost model to enable cost and profitability analysis. Furthermore, the present study is primarily concerned with costing methodology (e.g., relation between variables, and steps to calculate), and secondarily with parameter or estimated values. Hence, the present study is a methodological study that prioritizes an economics perspective of corrosion engineering in nuclear power generation. Consequently, discussions on corrosion phenomena may appear elementary to corrosion engineers but essential to the work of corrosion engineering economics.

In the present study, progress on understanding corrosion economics for an SCW-SMR concept begins (Sec. 2) with a review of corrosion phenomena based on past SCWR concept R&D experience, and experience with conventional water-cooled reactors (WCRs) and supercritical (SC) fossil power plants (FPPs). In addition, this review focuses on the expected fuel cladding corrosion phenomenon and associated corrosion control measures (e.g., control parameters).

Section 3 integrates the corrosion related information with corrosion costing categories and a corrosion engineering economics method. These aspects are used as inputs and provide the constraints required to develop a power generation cost model for assessing the cost impact of corrosion and corrosion control of an SCWR concept (Fig. 1). The methodology of the model is guided by an engineering economics method, the revenue requirements approach to life cycle costing (LCC) (Sec. 3). A simple LCC procedure [12] is shown at the bottom of Fig. 1 in connection with the contributions provided by the sections of the present study to identify and develop a power generation cost model. The model is specified in terms of the main corrosion cost categories and a reliability factor used in assessing power generation costs, the costing of chemical species for controlling corrosion, and the present worth of revenue requirements. For each of these elements, potential future changes to the model are discussed to enable future use as the SCW-SMR concept evolves, and as current WCRs continue operating.

Fig. 1
Relations of sections to the life cycle costing procedure
Fig. 1
Relations of sections to the life cycle costing procedure
Close modal

In conclusion (Sec. 4), the revenue requirements approach enables incorporating knowledge of corrosion and corrosion control in a power generation cost model that provides a framework for understanding the kind of information available and needed for taking economical preventative corrosion measures for the current generation of WCRs and advanced reactors, such as the SCWR.

2 General Corrosion Effect on Fuel Cladding Performance in an Supercritical Water-Cooled Reactor

A definition of corrosion is “the destruction of a material under the chemical or electrochemical action of the surrounding environment” [13]—for a similar but broader definition of corrosion see Roberge [14,15], and for an alternative perspective see Shreir [16]. The definition leads to understanding the corrosion of a material as undergoing a transformation into a substance similar to the mineral ore from which it came [1,13,17], i.e., as reverting to its natural state [18]. For instance, the action of steam on iron in steam boilers at high temperatures produces magnetic oxide of iron (magnetite, Fe3O4) and hydrogen according to the reaction [1] in the following equation:
(1)

Note that magnetite is a naturally occurring iron oxide mineral [19,20].

Controlling or minimizing corrosion is a design engineer's objective [1,13,15,16,2123]. Moreover, “[f]rom an SCWR designer's perspective, a key output required of any program to study corrosion is a means to predict the total metal loss (or metal penetration) at the end of in-service life of the component and the uncertainties associated with that prediction” [7]. For design engineers to develop and assess corrosion control methods and strategies, “[p]erformance criteria for in-core materials can be developed from the requirement that the material should not fail during the in-service life” [7,24]. Although materials for both in-core and out-of-core components must be specified, SCWR R&D focuses on in-core components due to the extreme in-core environment in an SCWR concept [7,24,25].

A prime example of in-core component studied for the SCWR is the fuel cladding, since

“[o]f all the in-core components, the fuel cladding poses the greatest challenge for material selection. It will experience the highest temperature and the highest irradiation dose, and its failure comes with grave consequences. Failure to select an alloy that will survive the harsh conditions for three fuel cycles would lead to fuel cladding failure, forced outages, and shortened fuel cycles, jeopardizing the economics of plant operation. For these reasons, much of the Canadian SCWR materials program has focused on fuel cladding research and development.” [26]

Given the aforementioned emphasis on fuel cladding in SCWR R&D, fuel cladding is selected as an example for understanding the potential economic impact of corrosion in an SCWR concept.

To understand the relevance of fuel cladding corrosion phenomena for economics, the key control parameters are identified that enable performance and corrosion control. In addition, the topics discussed are the in-core environment, fuel cladding, corrosion product transport, and modeling fuel failure. While this discussion is concise given the wide array of issues and depth to consider on corrosion phenomena in an SCWR concept, more extensive discussions and references are in Refs. [7], [24], and [2729].

2.1 Supercritical Water-Cooled Reactor in-Core Environment (Core Conditions).

Thermal power plants require a medium to transfer heat from a source, and pipework to contain the heat transfer medium [7]. The heat transfer medium (or fluid) in any SCWR concept is supercritical water. An SCWR concept typically consists of a direct steam cycle configuration for the balance of plant, such as shown in Fig. 2 [7]. For most SCWR concepts, the coolant system is comprised of the reactor core, the turbine set, and the feedtrain [24]. A “portion of the in-core piping, plus the main steam line and high-pressure turbines, are at T> the critical temperature Tc, and only the former are irradiated. The rest of the system operates under conditions for which significant operating experience and a well-developed knowledge base exist” [24] (Fig. 3)—similar concerns exist for an indirect cycle [7]. Furthermore, since for any SCWR concept supercritical water is the coolant, the properties of water change when crossing the in-core environment [24] (Fig. 4). Hence, “the properties of supercritical water directly affect general and localized corrosion (such as environmentally assisted cracking) of system materials and the transport of corrosion products to and from the core” [7]. Material and water chemistry studies on corrosion in an SCWR concept, therefore, tend to focus on SCWR in-core materials due to the combination of changing water properties, the intense radiation field, and high temperature and pressure that result in an “extreme” in-core environment in an SCWR [7,24].

Fig. 2
Conceptual layout of a direct steam cycle SCWR with steam reheat. Source: Adapted from Guzonas and Novotny [30].
Fig. 2
Conceptual layout of a direct steam cycle SCWR with steam reheat. Source: Adapted from Guzonas and Novotny [30].
Close modal
Fig. 3
Temperature-pressure phase diagram of water. Source: Adapted from Guzonas et al. [31].
Fig. 3
Temperature-pressure phase diagram of water. Source: Adapted from Guzonas et al. [31].
Close modal
Fig. 4
Simplified schematic diagram of an SCWR water cycle. Source: Adapted from Guzonas and Cook [32].
Fig. 4
Simplified schematic diagram of an SCWR water cycle. Source: Adapted from Guzonas and Cook [32].
Close modal

2.2 Fuel Cladding Material Performance.

In assessing fuel cladding materials, performance criteria are developed and compared to experimental measurements. Modern experimental data are generated in accordance to the type of materials study required in a four-tier testing strategy (Fig. 5) that was developed by the GIF Materials and Chemistry Project Management Board (M&C PMB) for materials R&D in support of SCWR concepts [7]. Furthermore,

Fig. 5
Schematic of the four-tier test program for the Generation IV International Forum supercritical water-cooled reactor (SCWR) materials work package. Source: Adapted from Guzonas and Zheng [33].
Fig. 5
Schematic of the four-tier test program for the Generation IV International Forum supercritical water-cooled reactor (SCWR) materials work package. Source: Adapted from Guzonas and Zheng [33].
Close modal

“to predict fuel cladding corrosion in the proposed Canadian SCWR concept over the expected in-core residence time (∼30,600 hr), it is necessary to extrapolate data obtained from these relatively short-duration tests to the in-service lifetime by assuming a particular model for the corrosion kinetics. While this approach can be used to rule out proposed candidate alloys, longer tests are necessary to obtain the data needed to validate the extrapolations.” [26]

Fuel cladding failure may occur due to any of several factors, such as: through-wall penetration by general corrosion; oxide buildup that can impede heat transfer; stress corrosion cracking (SCC); stress exceeding the yield limits of the material; and pellet-cladding interaction [28]. Since current knowledge of general corrosion is one of the most advanced knowledge areas of fuel cladding [7], and current experimental investigations for a small modular SCWR concept [3,4] focus on general corrosion, the discussion below is concerned with general corrosion phenomena.

2.2.1 Performance Criteria.

While “[t]he ultimate goal of engineering studies of general corrosion is to define the total metal loss (metal penetration) at the end of in-service life, enabling designers to add a corrosion allowance to the component thickness required on the basis of other (typically mechanical) material properties.” [7] The corrosion allowance is the difference between a minimum and maximum thickness of fuel cladding.

Fuel cladding in Canadian SCWR concepts is designed to be collapsible, but thick enough to prevent longitudinal ridging [7,34]. To maintain this design feature, the recommended minimum fuel cladding thickness is 0.4 mm [7,34]. In contrast, the recommended maximum fuel cladding thickness of 0.6 mm is guided by the design requirement to preserve neutron economy [7]. The recommended maximum metal loss in Eq. (2) is, therefore,
(2)

at the end of in-service life of 3.5 years (30,600 h) [26].

2.2.2 General Corrosion Rate and Penetration.

A first step in validating models for understanding the corrosion of fuel cladding material, and control strategies, is to obtain experimental results on metal penetration. Research groups report experimental results (e.g., [6,7,26,28,3538]) as the change in weight of the samples of surface area exposed to the test solution (measured by weight afterweight before (mg·dm2)—for alternative measurements see Longton [35] and Svishchev et al. [39]). The change in weight presented in the literature is presented as either a weight gain (WG, or change in weight without descaling) or loss after descaling (i.e., descaled weight loss, WL) [7,26]. In experiments, when the weight gain is used for assessing the performance of the coupon, which has some inherent uncertainties, the weight gain is used as a conservative approximation [7,26,36]. Eventually, the weight loss after descaling the surface oxide should be used to evaluate general corrosion rate of a material for SCWR fuel cladding [7], since it is the descaled weight loss that measures the true corrosion of the material, i.e., “the only unambiguous method to measure the corrosion rate” [36].

In the process of developing corrosion control strategies, the next step is to develop a phenomenological model. For instance, the phenomenological law expressed in Eq. (3) predicts the end-of-life corrosion penetration or metal loss
(3)

where Ea is the activation energy of the rate controlling phenomenon (assuming that it is thermally activated), kB is the Boltzmann constant, T is the temperature, t is the exposure time, z is a constant, and x and y are parameters such as flowrate or dissolved oxygen (DO) concentration experimentally determined to be important [28]—for alternatives see [7,40]. Once the parameters are determined in a corrosion rate law function, such as in Eq. (3), the parameters are validated by comparing the predicted results to experimental corrosion data, and the importance of the parameters can be assessed.

Based on experimental data, the expected major physical and chemical environmental parameters affecting general corrosion of a given alloy under SCWR conditions in order of decreasing importance are [31]

temperature surface finish grain size > water chemistry > SCW density

“In general, over the entire temperature range [of SCW], the corrosion rate increases with increasing temperature” [28] as exposure time increases. For understanding the effects of the remaining parameters and more discussion on temperature, the reader is referred to Refs. [7] and [28] and the references therein.

2.3 Corrosion Product Transport.

Section 2.2 partially considered corrosion of the fuel cladding material in an extreme in-core environment, which can lead to fuel failure and associated costs. Another aspect is that the oxidation of fuel cladding material contributes to the formation of corrosion products that become active and transported from the core (Fig. 6). The “[f]ormation of thick deposits on SCWR fuel cladding could result in (1) overheating of the cladding surface or under deposit corrosion, (2) changes in-core reactivity (crud-induced power shifts), and (3) increased radiation fields on out-of-core piping” [24]. In addition, corrosion product deposition on fuel cladding will have a negative impact on the neutron economy “because of parasitic absorption of neutrons within the deposited material” [41]. The selection of water chemistry, therefore, depends on both how the environment is affected by and affects the fuel cladding material.

Fig. 6
Activity Transport Source Terms in an SCWR Source: Adapted from Guzonas and Qiu [42]
Fig. 6
Activity Transport Source Terms in an SCWR Source: Adapted from Guzonas and Qiu [42]
Close modal

The selection of water chemistry is expected to provide guidance for materials testing in support of the SCWR concept, especially the testing of candidate fuel cladding alloys (see Fig. 7, adapted from Ref. [32]) by identifying key factors, such as the oxide solubility. In turn, the test results will support the high-level goals to predict and mitigate corrosion product transport (including activity transport) and to predict the in-core chemistry conditions, in particular the effects of water radiolysis.

Fig. 7
SCW Chemistry R&D Program Critical Path
Fig. 7
SCW Chemistry R&D Program Critical Path
Close modal

To control corrosion and corrosion products, reactor operators require knowing the concentration level measurements by monitoring and sampling the types of corrosion products associated with oxide deposition in a reactor [4345]. The principal oxide expected to deposit in SCW is magnetite [28]. A major activation product associated with magnetite is cobalt, primarily cobalt-60 (60Co), which has a high adsorption affinity within magnetite [46]. Minimizing iron concentration is, therefore, an important parameter to control for selecting appropriate chemical additives and water purification systems [28,4547]. To compliment the water chemistry, SCWR studies recommend “feedtrain materials with corrosion rates of ∼ 7.1×104 mm/y would minimize in-core deposition” [28]. The selection of the feedtrain material has several implications. For instance, the original work on ammonia addition to boiling water reactors (BWRs) was guided by a desire to reduce capital costs by substituting carbon steel for stainless steel [21,48,49], a strategy successfully deployed in the Gentilly-1 reactor [50]. However, the use of ammonia dosing would increase turbine activity [50]. An alternative to selecting between different alloys is to consider selecting between different production methods of the same alloy, e.g., different steel making techniques [51,52]. In close connection to the feedtrain material selection is the design configuration for the purification system [53,54]. Minimizing corrosion and corrosion products also supports avoiding costly repairs and minimizes downtime (or enhances plant availability) [21,55,56], in part because 60Co affects maintenance work during outages [46,57,58].

Even though “water radiolysis remains the key outstanding issue preventing definition of the SCWR in-core environment” [7], to support ongoing experimentation current SCWR R&D on corrosion product transport indicates that

“[i]t is probable that the in-core deposition of impurities and corrosion products can be minimized in an SCWR by adopting the best practices for feedtrain materials selection and chemistry control used in SCFPPs and BWRs. The data suggest that an oxygenated feedwater chemistry will result in fewer problems than the use of ammonia, hydrazine or LiOH.” [7]

While there are different SCW oxygenated treatment technologies [59] and costs [60,61] for SCFPPs readily available, any study of adjustments to the technology for an SCWR concept are not yet available. Moreover, Guzonas and Cook [62], speaking of a direct-cycle SCWR, noted that while iron transport might be minimized by an oxygenated feedtrain chemistry, it would likewise be necessary to suppress net radiolysis in the reactor by adding hydrogen. Since this hydrogen would be ejected at the turbines, this implies a continuous consumption of hydrogen, adding to the operating costs of a direct-cycle SCWR.

Some costing aspects of chemical treatments for WCRs are known, for instance, the coolant treatment and purification equipment cost for a pressurized water reactor (PWR) [63,64], the unit cost and consumption of boron [65], and cost modeling decontamination [66] are available. The boron treatment is relevant for a pressure vessel design of the SCWR concept [43,67] but not for a pressure-tube design of the SCWR concept [47]. Hydrogen consumption costs for BWRs are not readily available, but these costs could be scaled to SCWR conditions. Furthermore, cost estimates for the hydrogen injection system are available [68]. Boiling water reactors operating with hydrogen water chemistry (HWC) plus noble metal chemical addition (NMCA) consume a small amount of hydrogen in order to mitigate intergranular stress corrosion cracking (IGSCC) [69]; a direct-cycle SCWR is anticipated to consume up to 100 times more hydrogen to suppress net radiolysis [70,71]. The addition of hydrogen is used to control electrochemical corrosion potential to control in mitigating IGSCC, which is a part of the environmentally assisted cracking [7,28,7275]. An additional cost consideration associated with IGSCC are repair costs [56,76].

Differences in cycle design play a major role in both plant construction and O&M costs. For instance, an indirect-cycle SCWR would have the added capital cost of a steam generator [7]. On the other hand, a direct-cycle SCWR would require heavy shielding of the main steam lines and high pressure turbines [7].

2.4 Modeling Fuel Failure.

Corrosion studies on models of the fuel failure of different fuel cladding materials due to corrosion for SCWR concepts do not seem to be available. Instead, corrosion studies for supporting SCWR concepts, for instance, Ru and Staehle [7779] use past experience of WCRs [8083] to understand potential failure rate of equipment due to corrosion in terms of a probability distribution. Typically, these studies use a Weibull distribution. A similar strategy is suggested in the present study to develop probabilistic models for assessing the fuel cladding failure rate of an SCWR concept. A variety of studies on fuel failure due to corrosion in WCRs exist, for example, [46,8497]. Amongst these studies, Kritsky et al.'s studies [46,85] incorporate general corrosion and water chemistry (including corrosion product transport).

Kritsky et al. [46,85], for example, used Eq. (4) to assess the effect of individual parameters on failure
(4)

where n1 is the actual number of failures for light water reactors (LWRs), n0 is a nominal number of failures for LWRs, G is the number of parameters considered (corrosion included), be is a coefficient defining the effect of corrosion on fuel element failure in the data series observed, and Ve is the variation of the corrosion parameter during a year of observation.

In Eq. (4), the main factor that relates to Secs. 2.12.3 is the parameter Ve. This parameter is derived in Kritsky et al. [46,85] from a corrosion rate equation, which accounts for multiple factors including water chemistry (to suppress the effects of water radiolysis), temperature, vapor quality, neutron flux, oxide layer thickness and thermal conductivity, and impurities. According to Kritsky et al. [46,85], the approach to Eq. (4) is supported by the data in Table 1, which is based on operating reactors. Unlike the WCRs considered by Kritsky et al. [46,85], SCWR concepts must overcome the knowledge gap afforded to years of operating experience. A similar approach to that used in Kritsky et al. [46,85] may, therefore, be used for supporting an SCWR concept where the failure rate depends on the fuel cladding corrosion rate, which in turn is determined by the known factors affecting the corrosion process. In this case, the corrosion model will be expected to evolve as new and better knowledge is gained.

Table 1

Dependence of fuel element failure intensity on fuel cladding corrosion

ReactorFuel element failure intensity (n×105 per year)Average rate of cladding corrosion (μm per year)
WWER-44041–2
WWER-100053–5
RBMK-100011040–60
RBMK-15008030–50
ReactorFuel element failure intensity (n×105 per year)Average rate of cladding corrosion (μm per year)
WWER-44041–2
WWER-100053–5
RBMK-100011040–60
RBMK-15008030–50

Source: Data from Kritsky et al. [46,85].

3 Revenue Requirements Approach to Life Cycle Cost Modeling Corrosion

In assessing corrosion control options, utilities and analysts use the revenue requirements and LCC approaches as part of understanding reliability and maintenance of a power plant [76,98101]. This section, therefore, develops a revenue requirements approach for the LCC of an SCWR that includes a model for corrosion that incorporates the information from Sec. 2. Alternative engineering economics methods for corrosion are discussed elsewhere [102105]. Furthermore, the SCWR concept's similarity to WCRs would suggest considering past studies with engineering economics evaluations of corrosion in WCRs. Nonetheless, this path has methodological challenges. One challenge is that some past studies may mention an engineering economics method and provide the values used but not elaborate on the methodology used to obtain them. Questions then arise about how to modify these values to account for the underlying engineering design choices and their effects on fuel failure [106]. Others studies can be found that relate more directly to fuel failure [107], but only cover a portion of the power generation costs, and do not consider costs across time. Both kinds of studies lack details about the O&M costs.

Generically, the cost of corrosion control options, the sources of corrosion and its effects on the performance of an engineered product over its lifetime (or useful life) are summed up in high level cost categories, such as the acquisition (or capital) cost, the operating cost, the lost production, and the material residual value in Eq. (5) to estimate the LCC (CLCC) [108110]
(5)

Equation (5) is first calculated on an annual basis, which is useful for budgeting purposes [108]. Second, Eq. (5) is multiplied by a present worth factor to consider the costs over the useful life of the product [108,111]. To make the LCC method useful for studying the cost impact of corrosion in an SCWR concept requires specifying the LCC in terms of a power generation cost model that can incorporate the main corrosion cost categories, a reliability factor to address corrosion, and the cost of chemical additives for controlling corrosion. For the present study, the present worth of revenue requirements is applied to the power generation cost model to correspond to the final step in the LCC method.

The discussion below focuses on an engineering economics method rather than on a macro-economic method for assessing the economic impact of corrosion for an SCWR concept. Applying a macro-economic method is left for future development, though a discussion on this type of method is available in Biezma and San Cristóbal [112].

3.1 Main Corrosion Cost Categories in Power Generation Costing.

In past studies, the main (or broadest) cost categories for identifying corrosion costs are O&M non-fuel, O&M fuel, lost production, and depreciation [113,114], or cost of energy and replacement of energy costs [115]. A method consistent with the main cost categories for introducing reliability in estimating the unit cost of generating electricity (COE) for a power plant is Eq. (6), which is based on adjustments from [116123]—though the primary references are [120,121,123]
(6)

where fcr is the annual fixed charge rate, Ctpc is the total plant cost (sense of the concept will vary according to the cost information available and needed), COM is the annual O&M cost, CF is the annual fuel cost, Srcap is the grid system replacement capacity cost, ΔP is the replaced capacity (MWel), Srene is the grid system replacement energy cost, ΔE is the replaced energy (MWh), and E is the expected annual electric power to be produced (MWh). The first term in Eq. (6) deals with initial plant investment and operating costs, while the second term deals with the cost of replacement energy of an alternate plant (e.g., an LWR or FPP) needed to run a grid reliably while the plant of interest (e.g., an SCWR) is under maintenance. Implicitly, Eq. (6) includes the depreciation cost category through the fcr term since it consists of the rate of return, depreciation, insurance, taxes, and administrative and general expenses as a fraction of the total plant cost [117,118,124].

A missing cost category is decommissioning, which can be affected by water chemistry and decontamination choices for controlling activity transport [125,126]. The inclusion of decommissioning will be similar to the total plant cost, except that its financial assumption will reflect payments to recover for a deferred expense after the end of the plant's life. In addition, replacement costs of major equipment associated with corrosion can be added in a similar manner as the total plant cost, with financial assumptions reflecting economic conditions that can differ from those of the original investment (see Federal Energy Regulatory Commission (FERC) rules [127] for cost classification). Other omitted cost categories are R&D, testing and qualification (see FERC rules [127] for cost classification). Their inclusion can be incorporated in a similar manner as the total plant cost (see FERC rules [127] for cost classification), though the extent of its inclusion in the COE will also depend on the extent to which governments share the R&D, testing and qualification costs.

3.2 Corrosion Failure Rate Vis-à-Vis Reliability in Power Generation Costing.

The simplest way of introducing a reliability factor (R) in Eq. (6) is by determining E in terms of a capacity factor (cf) in Eq. (7)
(7)
where P is the net maximum power plant output rating (MWel), and H is the maximum annual operating hours [120123]—for alternative ways of incorporating the impact of reliability on costs see [117,124,128131]. Note the annual operating hours would be equal to H×cf, e.g., 8,766×cf—studies will use either 365 or 365.25 days per year to multiply by 24 h to calculate H. Next, the cf in Eq. (8) is
(8)
where sh is the scheduled outage hours [122]. Thus, E in Eq. (9) is explicitly written in terms of R
(9)

By modeling R in terms of a failure rate that corresponds to corrosion, such as in Krisky [46] (see Sec. 2.4), Eqs. (6) and (9) may be used to address the impact of fuel cladding corrosion on reliability and costs of an SCWR concept. As an SCWR concept evolves, the reliability factor is also expected to account for the reliability of the whole SCWR plant concept, in which the reliability of the fuel will be a part.

The capacity factor may also be expressed in terms of availability in alternative ways (either Ref. [122] or [132]) to explicitly address derating due to, for example, corrosion or deposition on fuel cladding. In addition, derating is implicitly addressed in lost production costs in Eq. (6)—see [107] for additional discussion on derating and costs of lost production associated with fuel failure.

Elements implicit in Eq. (6) that are affected by reliability that may be made explicit in the future are: the competing power generation technology in a power grid that determines replacement energy and capacity cost (i.e., lost production costs); and, overall plant thermal efficiency [121,123]—for a case relating to corrosion see, e.g., [133]. These factors may be affected by energy policies that affect planning for reliability in the power systems, and the mix and expansion of the system. Other related factors to energy policies are the state of an economy and economic policies affecting the economy.

Incorporating reliability in the COE is expected to provide insight on the cost impact of increasing the service life of fuel, structural materials, and components by controlling corrosion. For instance, past experience in evaluating a PWR project over its service life by Électricité de France (EdF) indicates that there are two opposing economic forces captured in an annual cost bathtub diagram (Fig. 8—for illustrative purposes) [134]. In Figure 8, the annual costs weigh the construction cost and the maintenance cost in unit production costs during different years of operation [134]. Lengthening the service life reduces annual cost of construction but may increase the annual maintenance cost due to, for example, replacement costs [134]. The optimal service life is, therefore, a result of weighing each of these opposing factors. Similarly for the corrosion of system components in a nuclear power plant, “[c]hemistry performance requirements are set by the sometimes conflicting desires to minimize corrosion (general and localized), fouling and activity transport, optimize thermal performance and maximize heat transport system (HTS) lifetime” [23] (emphasis added). Thus, the optimum specification of the “coolant chemistry is always a compromise” [23].

Fig. 8
Annual maintenance cost curve. Source: Adapted from Noel [134] by using a linear hazard function in Misra [135].
Fig. 8
Annual maintenance cost curve. Source: Adapted from Noel [134] by using a linear hazard function in Misra [135].
Close modal

The main tradeoff to consider, based on Sec. 2, for the SCWR concept is the temperature of SCW. Throughout R&D programs on SCWR concepts, the underlying advantage sought in superheating steam is to increase the overall plant thermal efficiency higher than WCRs [67,136]. This advantage is expected to translate throughout the plant [136]. However, achieving a higher efficiency requires reaching a SC temperature. As indicated in Sec. 2, the corrosion increases with temperature. Higher temperatures are, thus, expected to limit the service life of materials in an SCWR. A part of the reliability effect of corrosion corresponds to wear-out failures [137], in which case costs increase with service life (the latter part of the bathtub curve in Fig. 8). Hence, the advantages of the SCWR may be offset to an extent by the effect of corrosion on the service life of materials—for additional tradeoffs related to fuel cladding based on LWRs experience see, e.g., [138]. To weigh the balance of the tradeoff, results from either the LCC or the revenue requirements approach to LCC may be incorporated into performance-to-cost [139] and weighted risk [140,141] methods for tradeoff analysis.

3.3 Adjusting Costs for Fuel Cladding Material and Water Chemistry.

Various studies that assume Eq. (6) for estimating the COE assume that O&M costs can be broken down into fixed and variable components. For addressing corrosion of an SCWR concept, that assumption is an option as indicated by the three common methods of estimating O&M costs: the fraction method [142144], the plant size scaling method [143,145150], and the labor scaling method [122,144]—each method is classified by the primary adjustment factor used to estimate O&M costs.

Once an O&M costing method is selected, certain aspects of corrosion control relating to fuel cladding can be estimated, such as water chemistry and ultrasonic fuel cleaning [7,57,151,152]. Other corrosion control aspects, such as the material selection for the fuel cladding and coating protection fall under fuel fabrication costs in the fuel cost category, while the purification system, and the material selection of structures and components fall under total plant costs. The purification system would also have an operating cost component.

Since the fuel costs and total plant costs of an SCW-SMR remain under development for the ECC-SMART project, a simple formula to adjust for water chemistry is provided, which is partially motivated by the equation form in Refs. [107] and [153] and the fraction method used for estimating O&M costs. The water chemistry costs (Cwccor) to control corrosion can be estimated by the following equation:
(10)
where COM,SCWR is the O&M cost of the SCW-SMR, φ is the fraction of O&M cost associated with water chemistry (or consumables) from a reference reactor, and this fraction is adjusted by the unit cost (ucwc) and amount of chemical species consumed (qwc) to maintain water chemistry standards that minimize corrosion and activity transport in an SCWR relative to the unit cost (ucwc,ref) and amount of chemical species consumed (qwc,ref) in a reference reactor. Equation (10) assumes each chemical species is part of the cost category associated with φ. If, however, several chemical species identified constitute the whole cost category, then Eq. (11) may be used
(11)

Equation (11) sums up all the chemical species unit costs (ucwc,m) and quantities (qwc,m) required for each mth species used for corrosion control, and φ is not needed. Similar strategies may be used for fuel cladding and coating as part of fuel fabrication costs. The selection of the costing strategy will likely depend on the information available (including, e.g., water chemistry and design parameters, quantity required, and unit costs).

In addition to considering chemical additives for chemistry control strategies, experience with water purification for make-up as well as side-stream purification in the nuclear industry indicates that the removal and maintenance at very low concentrations of deleterious dissolved impurities can be a significant contributor to the O&M costs for chemistry control [154158]. The principal water treatment/purification system costs for economic evaluation are capital costs, operating costs, treatment and disposal costs [159163]. If the purification system uses the ion exchange method, then a key cost component is the ion exchange resin [159161,163,164]. At a high level, the purification equipment or annual resin purchased (Cpur) in the following equation:
(12)

Consists of a physical quantity (qpur, which represents either the resin or the installed equipment), and a unit cost (ucpur) [65,159,160,165167]—see these and previous references on water treatment/purification/ion exchange/decontamination for more details. For a new nuclear build, the equipment will be part of the total nuclear plant cost. If a purification system is being replaced, then the equipment will likely be capitalized (depends on the accounting rules—see, e.g., Rothwell [122,168] on accounting for capital additions for the American case).

3.4 Present Worth of Revenue Requirements in Generating Electricity.

To meet an ECC-SMART project requirement of comparing an SCW-SMR concept to an alternative SMR based on PWR technology, the present worth of the COE can be used to compare costs over the lifetime of each technology. More specifically, the present worth of revenue requirements can be used as follows.

Revenue requirements are “the revenues which must be obtained in order to cover all expenses incurred, associated with and including the company's minimum acceptable return (MAR) on investors' committed capital, no more and no less” [169]. The MAR (i.e., the cost of capital—a percent return) is the distinguishing characteristic of the revenue requirements approach to determine the present worth of the COE [117,169].

The simplest way to introduce MAR in the COE Eq. (6) has two parts—see [124] for alternative equivalent ways of using the revenue requirements approach. First, Eq. (6) is multiplied by a present worth factor (pwf) to yield the present worth of the revenue requirements for generating electricity (PWRRE) in the following equation:
(13)
The pwf in Eq. (13) is determined in Eq. (14) by the inverse of the MAR plus the depreciation annuity (di) sufficient to recover the initial capital investment
(14)

where n is the service life [169]. Second, the rate of return in the fcr is also the MAR. In both parts the MAR may represent either the rate of return for the pool of investor's committed capital or the rate of return for equity only depending on the purpose of the economic study [169].

Section 2 and Secs. 3.13.3 identified the corrosion of fuel cladding in an SCWR concept, the main corrosion cost categories for power generation, the incorporation of the corrosion failure rate, and the annual O&M cost estimating methods. These discussions need to be combined with two objectives that are relevant to nuclear power plant owners:

  1. minimize costs, and

  2. minimize corrosion

    to provide good availability while maintaining safety [170,171]. Examining how these elements are to be combined will require understanding the role of managerial, engineering, and regulatory decisions in achieving the aforementioned objectives [2,73,172,173]. These decisions may be studied under the perspective of institutional economics [174176], since this perspective includes engineering economics decision-making under managerial and bargaining transactions. An institutional perspective of corrosion engineering economics may, thus, be used to frame the tradeoffs mentioned in Sec. 3.2.

Apart from institutional considerations, previous considerations in the section primarily focused on the costing aspects associated with the revenue requirements approach (framework summarized in Fig. 9). This approach also addresses profitability analysis, which enables achieving an aim of the present study for cost modeling (see Introduction) and remedies a methodological shortcoming in an Electric Power Research Institute (EPRI) study [113] on corrosion cost in the electric power industry. The EPRI method [113] by assumption eliminates comparing costs with revenue to evaluate profitability. In other words, the costs can never exceed revenues, by assumption. In contrast, applying the revenue requirements approach for profitability studies requires distinguishing between revenues and (minimum) revenue requirements as shown in Fig. 10 to assess the profit incentive. The equation corresponding to Fig. 10 is Eq. (15)
(15)
Fig. 9
Framework of information flow for revenue requirements approach to life cycle costing fuel cladding corrosion in an SCWR
Fig. 9
Framework of information flow for revenue requirements approach to life cycle costing fuel cladding corrosion in an SCWR
Close modal
Fig. 10
Diagram Representation of Revenue and Revenue Requirement Distinction for Profitability Analysis Purposes. Source: Adapted from Ref. [169].
Fig. 10
Diagram Representation of Revenue and Revenue Requirement Distinction for Profitability Analysis Purposes. Source: Adapted from Ref. [169].
Close modal

In a feasibility study considering profit, the present study enables estimating the revenue requirements, but revenues will require estimating the expected output and the expected price of electrical power. These two elements will also depend on several factors, such as energy policies, and the state of an economy (Sec. 3.2). In addition, utilities strategically consider the age of existing fleet of power plants in earning power generation revenue in different market segments. For example, utilities may “depend to an increasing extent on aging power plants for both base load and spinning reserve” [177]—Olds refers to aging as units over 30 years old.

3.5 Pro-active Planning for the Supercritical Water-Cooled Reactor—Trends and Challenges.

Corrosion assessments in an industry are done under a policy, strategy or planning (includes designing) context [46,178181], e.g., pro-active planning. Nuclear corrosion studies that discuss pro-activity [2,73,172,173] indicate that “[h]istorical plant behavior is most informative in reminding us what we did not anticipate correctly, and that despite major efforts to resolve materials degradation issues, existing and new categories of degradation have continued to occur” [173].

As the SCWR concept is an evolution of water-cooled reactors (WCRs), it is expected to have corrosion-related challenges that affect existing WCRs [7,74]. Similar corrosion-related issues are, for instance, IGSCC, corrosion product activation and deposition, and fuel cladding corrosion [7]. Based on the past experience of PWRs and BWRs, costs due to corrosion product activation and deposition ranks first, and fuel cladding corrosion ranks sixth amongst the ten largest corrosion cost problems in the electric power industry (see Table 2).

Table 2

Ten largest costly corrosion problems in the electric power industry

Corrosion problemElectric power sectorCorrosion cost (1998 US $ million)
Corrosion product activation and depositionNuclear2,204.57
Steam generator tube corrosionNuclear1,764.56
Waterside/steamside corrosion of boiler tubesFossil1,144.00
Heat exchanger corrosionFossil and Nuclear855.45
Turbine corrosion fatigue (CF) and stress corrosion cracking (SCC)Fossil and Nuclear791.75
Fuel clad corrosionNuclear566.51
Corrosion in electric generatorsFossil and Nuclear458.90
Flow-accelerated corrosionFossil and Nuclear422.15
Corrosion of service water, circulating water, and raw water systemsFossil and Nuclear411.15
Intergranular SCC of piping and internalsNuclear363.06
Corrosion problemElectric power sectorCorrosion cost (1998 US $ million)
Corrosion product activation and depositionNuclear2,204.57
Steam generator tube corrosionNuclear1,764.56
Waterside/steamside corrosion of boiler tubesFossil1,144.00
Heat exchanger corrosionFossil and Nuclear855.45
Turbine corrosion fatigue (CF) and stress corrosion cracking (SCC)Fossil and Nuclear791.75
Fuel clad corrosionNuclear566.51
Corrosion in electric generatorsFossil and Nuclear458.90
Flow-accelerated corrosionFossil and Nuclear422.15
Corrosion of service water, circulating water, and raw water systemsFossil and Nuclear411.15
Intergranular SCC of piping and internalsNuclear363.06

Source: Data from Syrett and Gorman [182]—see also Refs. [113] and [114]. Bold values correspond to corrosion issues discussed in the present study.

When corrosion costs in power generation are subdivided in terms of the main cost categories, the bulk of corrosion costs for the nuclear sector are associated with O&M costs (Table 3). Amongst these corrosion costs, the main topics discussed in the present study, fuel cladding, and corrosion product rank in the top ten for LWRs (Table 4).

Table 3

Nuclear O&M, lost production, and depreciation corrosion costs (US $thousand)

Corrosion issueTotal O&M costPercent due to corrosionCost due to corrosion
BWR non-fuel O&M costs8,784,95426.22,301,658
PWR non-fuel O&M costs19,553,60722.54,399,562
BWR (31%) + PWR (69%) fuel O&M costs10,269,8334.5462,142
Total nuclear power O&M costs38,608,39418.67,163,362
Cost due to lost production1,780,00036638,000
Depreciation13,309,07511.21,498,609
Total costs to customers51,917,46917.99,299,971
Corrosion issueTotal O&M costPercent due to corrosionCost due to corrosion
BWR non-fuel O&M costs8,784,95426.22,301,658
PWR non-fuel O&M costs19,553,60722.54,399,562
BWR (31%) + PWR (69%) fuel O&M costs10,269,8334.5462,142
Total nuclear power O&M costs38,608,39418.67,163,362
Cost due to lost production1,780,00036638,000
Depreciation13,309,07511.21,498,609
Total costs to customers51,917,46917.99,299,971

Source: Data from EPRI [113]—see also Ref. [114].

Table 4

Ten largest nuclear O&M corrosion costs (US $million) for 1998

Corrosion cost categoryBWR corrosion costsPWR corrosion costsTotal nuclear power corrosion costs
Corrosion product activation & distribution112910752205
Steam generator tube corrosion17651765
Fuel clad corrosion188379567
Heat exchanger corrosion320175495
IGSCC of piping & internals363363
Flow accelerated corrosion129173302
Corrosion—SWS & CWS104187291
PWSCC of Non-SG alloy 600 parts229229
CF & SCC of turbines56135191
Corrosion in electric generators4473116
Corrosion cost categoryBWR corrosion costsPWR corrosion costsTotal nuclear power corrosion costs
Corrosion product activation & distribution112910752205
Steam generator tube corrosion17651765
Fuel clad corrosion188379567
Heat exchanger corrosion320175495
IGSCC of piping & internals363363
Flow accelerated corrosion129173302
Corrosion—SWS & CWS104187291
PWSCC of Non-SG alloy 600 parts229229
CF & SCC of turbines56135191
Corrosion in electric generators4473116

Source: Data from Ref. [114].

More recently, EdF shut down twelve reactors in 2022 to inspect for stress corrosion cracking, reducing its nuclear power output [183]. This reactor outage is estimated to reduce EdF's earnings by approximately €18.5 billion [183]. In addition, the cost of capitalized work relating to the stress corrosion phenomenon amounts to €78 million as of 30 June 2022 [184].

As experienced in LWRs, corrosion and SCC increase with temperature, so it is expected that temperature will aggravate both degradation modes [74], though not the only factor [7,7375,173]. It is also anticipated that the plant age and operational desire for longer fuel cycles will pose challenges to minimizing corrosion [73,74,173].

To address corrosion challenges, there are successful examples of controlling corrosion in power plants, such as: choosing the optimum materials of construction; applying coatings to materials that are otherwise susceptible to corrosion; removing aggressive species from the chemistry environment; changing the corrosion potential; modifying the distribution of residual stresses near welds; and using on-line corrosion monitoring [99]. Collectively, these corrosion control options saved the electric power utility industry approximately US $570 million [99].

While experience is important for anticipating future challenges, the pro-active view warns to avoid “too much confidence and optimism” [173]. Laboratory studies can indicate many corrosion modes or mechanisms, yet operating conditions often throw up surprises in terms of unexpected corrosion events and this is especially true of new reactor designs [2,73,172,173]. The pro-active view also encourages having “sustained expertise, laboratory capability and plant inspection so that future degradation can be identified and managed” [173].

4 Conclusions

A CNL project and the ECC-SMART project aim to understand the corrosion behavior of the most promising candidate materials for a future SCW-SMR. To support this aim and the requirements of these projects, a power generation cost model that incorporates the impact of corrosion, in particular, the impact of fuel cladding corrosion was developed. Developing the power generation cost model required overcoming several limitations, such as no corrosion economics studies for any SCWR concept, the SCW-SMR concept remains under development, and past nuclear economics studies on corrosion are fragmented. The broader aim of developing a power generation cost model that incorporates corrosion was to provide a framework for understanding the kind of information available and needed for taking economical preventive corrosion measures for the current generation of WCRs and advanced reactors, such as the SCWR. Elements of the model that could be further developed were, therefore, discussed to enable future use as the SCW-SMR concept evolves, and current WCRs continue operating.

Overcoming the limitations required understanding:

  • fuel cladding corrosion phenomena in an SCWR concept

  • the revenue requirement method for nuclear power generation

To understand the relevance of fuel cladding corrosion phenomena for economics, the in-core environment, fuel cladding, corrosion product transport, and modeling fuel failure were discussed to identify the key control parameters that enable performance and corrosion control, with temperature as the primary control variable, and a model for fuel reliability to incorporate the key control factors.

This understanding was incorporated in a power generation cost model that applied the revenue requirements approach to LCC. To make the LCC approach useful for corrosion in an SCWR concept required specifying the LCC in terms of the main corrosion cost categories and a reliability factor used in assessing power generation costs, the costing of chemical species for controlling corrosion, and the present worth of revenue requirements. In addition, a pro-active planning perspective provided context for the revenue requirements approach to understand more broadly existing and new corrosion issues expected for a SCW-SMR. The main cost categories for power generation (with emphasis on nuclear) that are affected by corrosion were used to identify the major types of corrosion costs for LWRs. The costs associated with fuel cladding, and corrosion product related issues are amongst the top three of the ten largest issues for LWRs. A lesson of the pro-active approach is that over time not only do existing issues continue (e.g., SCC-related issues), but new issues are also expected to arise for both existing and new reactors. The latter type of reactor has the additional challenge of addressing the implications of a new design. A way to mitigate these surprises is to conduct research and development on an ongoing basis.

Acknowledgment

The author is grateful for the support of B. Haley, T. Cameron, A. Turcotte, D. Hoover, M. Sayler, J. Tilson, S. Luk, E. Hachey, D. Nauss, P. Sanongboon, K. Khumsa-Ang, M. Edwards, A. Nava-Dominguez, T. Wilson, A. V. Colton, A. Siddiqui, and G. Strati. The author is also grateful to the editors and the anonymous reviewers for their reviews, comments, and suggestions. This study was funded by Atomic Energy of Canada Limited, under the auspices of the Federal Nuclear Science and Technology Program. The research was conducted at the Canadian Nuclear Laboratories.

Funding Data

  • Atomic Energy of Canada Limited (Funder ID: 10.13039/501100004953).

Nomenclature

Notation
be =

coefficient defining the effect of corrosion on fuel element failure in the data series observed

cf =

capacity factor

CF =

annual fuel cost

COE =

unit cost of generating electricity

COM =

annual O&M cost

Cpur =

purification equipment or annual resin purchased

CLCC =

estimate of LCC

Ctpc =

total plant cost

Cwccor =

water chemistry costs

E =

expected annual electric power to be produced, MWh

ΔE =

replaced energy, MWh

Ea =

activation energy of the rate controlling phenomenon (assuming that it is thermally activated)

fcr =

annual fixed charge rate

G =

number of parameters considered (corrosion included)

hr =

hours

H =

maximum annual operating hours

k =

corrosion rate constant

kB =

Boltzmann constant, 1.380662×10-23 J/K

LF =

fraction of rated capacity

MAR =

minimum acceptable return

n1 =

actual number of failures for LWRs

n0 =

nominal number of failures for LWRs

P =

net maximum power plant output rating (MWel), i.e., output capacity

Pc =

critical pressure

ΔP =

replaced capacity (MWel)

qpur =

a physical quantity, which represents either the resin or the installed purification equipment

qwc,m =

quantities consumed required for each mth species used for corrosion control

R =

reliability factor

t =

oxidation time

T =

oxidation temperature

Tc =

critical temperature

sh =

scheduled outage hours

Srcap =

grid system replacement capacity cost

Srene =

grid system replacement energy cost

ucpur =

unit cost of either the resin or the installed purification equipment

ucwc,m =

chemical species unit costs

Ve =

variation of the corrosion parameter during a year of observation

WG =

weight gain (mg/dm2)

WL =

weight loss (mg/dm2)

Greek Symbols
φ =

is the fraction of operation and maintenance cost associated with water chemistry (or consumables) from a reference reactor

Abbreviations
BWRs =

boiling water reactors

CF =

corrosion fatigue

CNL =

Canadian Nuclear Laboratories

DO =

dissolved oxygen

EAC =

environmentally assisted cracking

ECC-SMART =

European Canadian Chinese development of small modular reactor technology

EdF =

Électricité de France

EPRI =

Electric Power Research Institute

FERC =

Federal Energy Regulatory Commission

FPPs =

fossil power plants

GIF =

generation IV International forum

M&C PMB =

materials and chemistry project management board

MWel =

megawatt of electricity

MWh =

megawatt-hours of electricity

HTS =

heat transport system

HWC =

hydrogen water chemistry

IGSCC =

intergranular stress corrosion cracking

LCC =

life cycle cost or costing

LWR =

light water reactor

NMCA =

noble metal chemical addition

O&M, OM =

operation and maintenance

PHWR =

pressurized heavy water reactor

PWRs =

pressurized water reactors

R&D =

research and development

RBMK =

reaktor bolshoy moshchnosty kanalny

SC =

supercritical

SCC =

stress corrosion cracking

SCFPP =

supercritical fossil power plants

SCW =

supercritical water

SCWR =

supercritical water-cooled reactor

SHS =

superheated steam

SMR =

small modular reactor

USC =

ultra-supercritical

WCRs =

water-cooled reactors

WWER =

water-cooled and water-moderated energy reactor

References

1.
Speller
,
F. N.
,
1951
,
Corrosion, Causes and Prevention
,
McGraw-Hill
,
New York/London
.
2.
Staehle
,
R. W.
,
2010
, “
Anatomy of Proactivity
,”
Corros. Rev.
,
28
(
5–6
), pp.
197
325
.10.1515/CORRREV.2010.28.5-6.197
3.
Khumsa-Ang
,
K.
,
Edwards
,
M.
, and
Rousseau
,
S.
,
2020
, “
General Corrosion of Chromium-Coated Zirconium- and Titanium-Based Alloys in Supercritical Water at 500 °C
,”
ASME J. Nucl. Eng. Radiat. Sci.
,
6
(
3
), p.
031102
.10.1115/1.4045387
4.
Khumsa-Ang
,
K.
,
Rousseau
,
S.
, and
Shiman
,
O.
,
2022
, “
Weight Gain and Hydrogen Absorption in Supercritical Water at 500 °C of Chromium-Coated Zirconium-Based Alloys: Transverse Versus Longitudinal Direction
,”
ASME J. Nucl. Eng. Radiat. Sci.
,
8
(
3
), p.
031102
.10.1115/1.4052520
5.
Khumsa-Ang
,
K.
,
Mendoza
,
A.
,
Nava-Dominguez
,
A.
,
Azih
,
C.
, and
Zahlan
,
H.
,
2023
, “
Initial Multidisciplinary Study of Oxidized Chromium-Coated Zirconium Alloy for Fuel Cladding of SCW-SMR Concept: Weight-Gain and Thermal Conductivity Measurements and Coating Cost Evaluation
,”
Coatings
,
13
(
9
), p.
1648
.10.3390/coatings13091648
6.
Guzonas
,
D.
,
Penttilä
,
S.
,
Cook
,
W.
,
Zheng
,
W.
,
Novotny
,
R.
,
Sáez-Maderuelo
,
A.
, and
Kaneda
,
J.
,
2016
, “
The Reproducibility of Corrosion Testing in Supercritical Water—Results of an International Interlaboratory Comparison Exercise
,”
Corros. Sci.
,
106
, pp.
147
156
.10.1016/j.corsci.2016.01.034
7.
Guzonas
,
D.
,
Novotny
,
R.
,
Penttilä
,
S.
,
Toivonen
,
A.
, and
Zheng
,
W.
,
2018
,
Materials and Water Chemistry for Supercritical Water-Cooled Reactors
,
Woodhead Publishing (Elsevier)
,
Duxford, UK/Cambridge, MA
.
8.
Cox
,
B.
,
1973
,
Accelerated Oxidation of Zircaloy-2 in Supercritical Steam
,
Atomic Energy of Canada Limited
,
Chalk River, Ontario
, Report No. AECL-4448.
9.
Guzonas
,
D.
,
2013
, “
Materials Requirements for the Canadian SCWR Concept
,”
IAEA TM on Materials and Chemistry for SCWRs CNNC NPIC
, Chengdu, China, July 22–26.
10.
European Commission
,
2020
,
Joint European Canadian Chinese Development of Small Modular Reactor Technology
,
European Union
.
11.
ECC Smart and European Nuclear Education Network (ENEN),
2022
, “
ECC-Smart,
” accessed Aug. 30, https://ecc-smart.eu/about/
12.
Woodward
,
D. G.
,
1997
, “
Life Cycle Costing—Theory, Information Acquisition and Application
,”
Int. J. Project Manage.
,
15
(
6
), pp.
335
344
.10.1016/S0263-7863(96)00089-0
13.
Pourbaix
,
M.
,
1973
,
Lectures on Electrochemical Corrosion
,
Plenum Press
,
New York/London
.
14.
Roberge
,
P. R.
,
2000
,
Handbook of Corrosion Engineering
,
McGraw-Hill
,
New York
.
15.
Roberge
,
P. R.
,
2006
,
Corrosion Basics: An Introduction
,
NACE International
,
Houston, TX
.
16.
Shreir
,
L. L.
,
2010
, “
Basic Concepts of Corrosion
,”
Shreir's Corrosion
,
Elsevier
,
Amsterdam, The Netherlands
, pp.
89
100
.
17.
Speller
,
F. N.
,
1926
,
Corrosion, Causes and Prevention
,
McGraw-Hill
,
New York
.
18.
LeSurf
,
J. E.
,
1973
, “
Introduction
,”
Symposium on Corrosion Control by Design in CANDU Nuclear Power Reactors
,
J. T. N.
Atkinson
, and
J. E.
LeSurf
, eds.,
Atomic Energy of Canada Limited
,
Chalk River, ON, Canada
, p.
1
.
19.
Cornell
,
R. M.
, and
Schwertmann
,
U.
,
2006
,
The Iron Oxides: Structure, Properties, Reactions, Occurrences and Uses
,
Wiley-VCH
,
Weinheim, Germany
.
20.
Faivre
,
D.
, ed.,
2016
,
Iron Oxides: From Nature to Applications
,
Wiley-VCH
,
Weinheim, Germany
.
21.
Atkinson
,
J. T. N.
, and
LeSurf
,
J. E.
, eds.,
1973
,
Proceedings of the Symposium on Corrosion Control by Design in CANDU Nuclear Power Reactors
, Held at Power Projects on Oct. 18, 1972,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Report No. AECL-4429.
22.
Fontana
,
M. G.
, and
Greene
,
N.
,
1978
,
Corrosion Engineering
,
McGraw-Hill
,
New York
.
23.
Guzonas
,
D.
,
Tremaine
,
P.
, and
Jay-Gerin
,
J.-P.
,
2009
, “
Chemistry Control Challenges in a Supercritical Water-Cooled Reactor
,”
Power Plant Chem.
,
11
(
5
), pp.
284
291
.
24.
Guzonas
,
D.
,
Novotny
,
R.
, and
Penttilä
,
S.
,
2017
, “
Corrosion Phenomena Induced by Supercritical Water in Generation IV Nuclear Reactors
,”
Structural Materials for Generation IV Nuclear Reactors
,
P.
Yvon
, ed.,
Elsevier
,
Duxford, UK
, pp.
105
152
.
25.
Guzonas
,
D.
,
2014
, “
Extreme Water Chemistry-How Gen IV Water Chemistry Research Improves Gen III Water-Cooled Reactors
,”
19th Pacific Basin Nuclear Conference (PBNC 2014)
, Vancouver, BC, Canada, Aug. 24–28,
Canadian Nuclear Society
,
Toronto, ON, Canada
.
26.
Guzonas
,
D.
,
Edwards
,
M.
, and
Zheng
,
W.
,
2016
, “
Assessment of Candidate Fuel Cladding Alloys for the Canadian Supercritical Water-Cooled Reactor Concept
,”
ASME J. Nucl. Eng. Radiat. Sci.
,
2
(
1
), p.
011016
.10.1115/1.4031502
27.
Teysseyre
,
S.
,
2012
, “
Corrosion Issues in Supercritical Water Reactor (SCWR) Systems
,”
Nuclear Corrosion Science and Engineering
,
D.
Féron
, ed.,
Elsevier
,
Cambridge, UK
, pp.
866
905
.
28.
Novotny
,
R.
, and
Guzonas
,
D.
,
2020
, “
Material Research for the Supercritical Water-Cooled Reactor—Summary and Open Issues
,”
Nuclear Corrosion
,
S.
Ritter
, ed.,
Elsevier
,
Duxford, UK
, pp.
403
435
.
29.
Allen
,
T. R.
,
Chen
,
Y.
,
Ren
,
X.
,
Sridharan
,
K.
,
Tan
,
L.
,
Was
,
G. S.
,
West
,
E.
, and
Guzonas
,
D.
,
2020
, “
Material Performance in Supercritical Water
,”
Comprehensive Nuclear Materials
,
Elsevier
,
Amsterdam, The Netherlands
, pp.
292
338
.
30.
Guzonas
,
D.
, and
Novotny
,
R.
,
2013
,
Supercritical Water-Cooled Reactor Materials – Summary of Research and Open Issues
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Report No. CW-127120-CONF-010.
31.
Guzonas
,
D.
,
Wills
,
J.
,
Dole
,
H.
,
Michel
,
J.
,
Jang
,
S.
,
Haycock
,
M.
, and
Chutumstid
,
M.
,
2010
,
Steel Corrosion in Supercritical Water: An Assessment of the Key Parameters
,
Atomic Energy of Canada Limited
,
Chalk River, ON, Canada
, Report No. CW-127120-CONF-004.
32.
Guzonas
,
D.
, and
Cook
,
W.
,
2015
,
Chemistry Control Strategy for the Canadian SCWR Concept Generation IV Reactor Concepts
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Report No. 217-127120-REPT-001.
33.
Guzonas
,
D.
, and
Zheng
,
W.
,
2015
,
Evaluation of Fuel Cladding Materials for the Canadian SCWR Concept
,
Canadian Nuclear Laboratories
,
Chalk River, ON
, Canada, Report No. 217-127100-ASD-001.
34.
Xu
,
R.
,
Yetisir
,
M.
, and
Hamilton
,
H.
,
2014
,
Thermal-Mechanical Behaviour of Fuel Element in SCWR Design
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Paper No. AECL-CW-127000-CONF-009.
35.
Longton
,
P. B.
,
1966
,
The Oxidation of Iron- and Nickel-Based Alloys in Supercritical Steam: A Review of the Available Data
,
United Kingdom Atomic Energy Authority
, TRG Report No. 1144.
36.
Guzonas
,
D. A.
, and
Cook
,
W. G.
,
2012
, “
Cycle Chemistry and Its Effect on Materials in a Supercritical Water-Cooled Reactor: A Synthesis of Current Understanding
,”
Corros. Sci.
,
65
, pp.
48
66
.10.1016/j.corsci.2012.08.006
37.
Guzonas
,
D. G.
,
2013
,
The Physical Chemistry of Corrosion in a Supercritical Water-Cooled Reactor
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Paper No. AECL-CW-127120-CONF-009.
38.
Edwards
,
M.
,
Rousseau
,
S.
,
Novotný
,
R.
,
Gong
,
B.
,
Fulger
,
M.
,
Penttilä
,
S.
,
Toivonen
,
A.
,
Sàez-Maderuelo
,
A.
,
Zhang
,
L.
,
Guzonas
,
D.
, and
Huang
,
X.
,
2022
, “
The Reproducibility of Corrosion Testing in Supercritical Water—Results of a Second International Interlaboratory Comparison Exercise
,”
J. Nucl. Mater.
,
565
, p.
153759
.10.1016/j.jnucmat.2022.153759
39.
Svishchev
,
I. M.
,
Carvajal-Ortiz
,
R. A.
,
Choudhry
,
K. I.
, and
Guzonas
,
D. A.
,
2013
, “
Corrosion Behavior of Stainless Steel 316 in Sub- and Supercritical Aqueous Environments: Effect of LiOH Additions
,”
Corros. Sci.
,
72
, pp.
20
25
.10.1016/j.corsci.2013.02.005
40.
Steeves
,
G.
, and
Cook
,
W.
,
2017
, “
Development of Kinetic Models for the Long-Term Corrosion Behavior of Candidate Alloys for the Canadian SCWR
,”
ASME J. Nucl. Eng. Radiat. Sci.
,
3
(
3
), p.
031001
.10.1115/1.4035549
41.
Pencer
,
J.
,
Edwards
,
M. K.
,
Guzonas
,
D.
,
Edwards
,
G. W. R.
, and
Hyland
,
B.
,
2011
,
Impact of Corrosion Product Deposition on CANDU-SCWR Lattice Physics
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Paper No. AECL-CW-123700-CONF-014.
42.
Guzonas
,
D.
, and
Qiu
,
L.
,
2013
,
Activity Transport in a Supercritical Water-Cooled Reactor
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Paper No. AECL-CW-127130-CONF-004.
43.
Lister
,
D.
, and
Uchida
,
S.
,
2015
, “
Determining Water Chemistry Conditions in Nuclear Reactor Coolants
,”
J. Nucl. Sci. Technol.
,
52
(
4
), pp.
451
466
.10.1080/00223131.2014.973460
44.
Barber
,
D.
,
Dundar
,
Y.
, and
Petit
,
P. J.
,
1972
, “
Early Experience With Water Chemistry at the 250 MW(e) Gentilly Nuclear Power Station
,”
Thirty-Third Annual Meeting of the International Water Conference of the Engineers' Society of Western Pennsylvania
, Pittsburgh, PA, Oct. 24–26, pp.
143
150
.
45.
Guzonas
,
D.
,
Brosseau
,
F.
,
Tremaine
,
P.
,
Meesungnoen
,
J.
, and
Jay-Gerin
,
J.-P.
,
2012
, “
Water Chemistry in a Supercritical Water-Cooled Pressure Tube Reactor
,”
Nucl. Technol.
,
179
(
2
), pp.
205
219
.10.13182/NT12-A14093
46.
Kritsky
,
V. G.
,
1999
,
Water Chemistry and Corrosion of Nuclear Power Plant Structural Materials
,
American Nuclear Society, La Grange Park
,
IL
.
47.
Burrill
,
K. A.
,
2000
, “
Water Chemistries and Corrosion Product Transport in Supercritical Water in Reactor Heat Transport Systems
,”
Proceedings of the 8th British Nuclear Energy Society Conference on Water Chemistry of Nuclear Reactor Systems
, Bournemouth, UK, Oct. 22–26, pp.
357
363
.
48.
LeSurf
,
J. E.
, and
Taylor
,
G. F.
,
1972
, “
Material Selection and Corrosion Control Methods for CANDU Nuclear Power Reactors
,” Report No. AECL-4057.
49.
LeSurf
,
L. E.
,
Bryant
,
P. E. C.
, and
Tanner
,
M. G.
,
1967
, “
Use of Ammonia to Supress Oxygen Production and Corrosion in Boiling-Water Reactors
,”
Corrosion
,
23
(
3
), pp.
57
64
.10.5006/0010-9312-23.3.57
50.
LeSurf
,
J. E.
, and
Allison
,
G. M.
,
1976
, “
Ammonia Suppresses Oxygen Production in Boiling Water Reactors
,”
Nucl. Technol.
,
29
(
2
), pp.
160
165
.10.13182/NT76-A31575
51.
Aniski
,
Y. N.
, and
Khitrov
,
Y. A.
,
1992
, “
Technical-Economic Assessment of Low Cobalt Content in Structural Materials
,”
Coolant Technology of Water Cooled Reactors, International Atomic Energy Agency
,
Vienna, Austria
, pp.
151
154
.
52.
Khitrov
,
Y. A.
,
1992
, “
Super-Pure Steels for Nuclear Power
,”
Coolant Technology of Water Cooled Reactors
,
International Atomic Energy Agency
,
Vienna, Austria
, p.
155
.
53.
Jenks
,
G. H.
, and
Griess
,
J. C.
,
1967
,
Water Chemistry in Pressurized and Boiling Water Power Reactors
,
Oak Ridge National Laboratory (ORNL)
,
Oak Ridge, TN
, Report No. ORNL-4173.
54.
Petit
,
P. J.
,
1973
, “
Chemistry Control and Purification
,”
Proceedings of the Symposium on Corrosion Control by Design in CANDU Nuclear Power Reactors
,
J. T. N.
Atkinson
and
J. E.
LeSurf
, eds.,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Power Projects, Oct. 18, pp.
41
43
.
55.
Gordon
,
B. M.
,
2006
, “
Introduction to Corrosion in the Nuclear Power Industry
,”
Corrosion: Environments and Industries
,
S. D.
Cramer
, and
B. S.
Covino
, eds.,
ASM International
, pp.
339
340
.
56.
Ford
,
F. P.
,
Gordon
,
B. M.
, and
Horn
,
R. M.
,
2006
, “
Corrosion in Boiling Water Reactors
,”
Corrosion: Environments and Industries
,
S. D.
Cramer
and
B. S.
Covino
, eds.,
ASM International
,
Materials Park, OH
, pp.
341
361
.
57.
Wood
,
C. J.
, and
Wells
,
D. M.
,
2020
, “
Water Chemistry Control in LWRs
,”
Comprehensive Nuclear Materials
,
R. J. M.
Konings
, and
R. E.
Stoller
, eds.,
Elsevier
,
Amsterdam
, The Netherlands, pp.
33
63
.
58.
Tomlinson
,
M.
, ed.,
1975
,
Activity Transport in CANDUs
,
Atomic Energy of Canada Limited
,
Chalk River, ON
, Canada, Report No. AECL-5113.
59.
Marrone
,
P. A.
,
2013
, “
Supercritical Water Oxidation—Current Status of Full-Scale Commercial Activity for Waste Destruction
,”
J. Supercrit. Fluids
,
79
, pp.
283
288
.10.1016/j.supflu.2012.12.020
60.
Zhang
,
F.
,
Shen
,
B.
,
Su
,
C.
,
Xu
,
C.
,
Ma
,
J.
,
Xiong
,
Y.
, and
Ma
,
C.
,
2017
, “
Energy Consumption and Exergy Analyses of a Supercritical Water Oxidation System With a Transpiring Wall Reactor
,”
Energy Convers. Manage.
,
145
, pp.
82
92
.10.1016/j.enconman.2017.04.082
61.
Zhang
,
F.
,
Chen
,
J.
,
Su
,
C.
, and
Ma
,
C.
,
2018
, “
Energy Consumption and Economic Analyses of a Supercritical Water Oxidation System With Oxygen Recovery
,”
Processes
,
6
(
11
), p.
224
.10.3390/pr6110224
62.
Guzonas
,
D.
, and
Cook
,
W.
,
2015
, “
Water Chemistry Specifications for the Canadian Supercritical Water-Cooled Reactor Concept
,”
7th International Symposium on Supercritical Water-Cooled Reactors, ISSCWR-7
,
S.
Penttilä
, ed.,
VTT Technical Research Centre of Finland
,
Helsinki, Finland
, Mar. 15–18.
63.
Ganda
,
F.
,
Taiwo
,
T. A.
, and
Kim
,
T. K.
,
2018
, “
Report on the Update of Fuel Cycle Cost Algorithms
,” Report No. NTRD-FCO-2018-000439.
64.
Ganda
,
F.
,
Hoffman
,
E.
,
Taiwo
,
T. A.
,
Kim
,
T. K.
, and
Hansen
,
J.
,
2019
,
Report on the ACCERT Cost Algorithms Tool
,
Argonne National Laboratory
,
Argonne, IL
, Report No. ANL/NSE-19/10.
65.
Hansen
,
R. F.
,
Silverman
,
J.
,
Queen
,
S. P.
,
Ryan
,
R. F.
, and
Austin
,
W. E.
,
1984
,
Addition of Soluble and Insoluble Neutron Absorbers to the Reactor Coolant System of TMI-2
,
GPU Nuclear Corporation
,
Middletown, PA
, Report No. GEND-026.
66.
Pashevich
,
V. I.
,
1992
, “
USSR Experience in Decontamination and Water Chemistry of VVER Type Nuclear Reactors
,”
Coolant Technology of Water Cooled Reactors
,
International Atomic Energy Agency
,
Vienna, Austria
, pp.
155
174
.
67.
Schulenberg
,
T.
, and
Leung
,
L. K. H.
,
2023
, “
SuperCritical Water-Cooled Reactors (SCWRs
),”
Handbook of Generation IV Nuclear Reactors
,
I. L.
Pioro
, ed.,
Elsevier
,
Duxford, UK; Cambridge, MA
, pp.
259
284
.
68.
Burley
,
E. L.
,
1979
, “
Oxygen Suppression in Boiling Water Reactors
,” Quarterly Report 4, July 1–30 Sep., 1978,
U.S. Department of Energy
, Report No. DOE/ET/34203-38.
69.
Lin
,
C. C.
,
2013
,
Radiochemical Technology in Nuclear Power Plants
,
American Nuclear Society
,
La Grange Park, IL
.
70.
Hettiarachchi
,
S.
,
2019
,
Key Emerging Issues and Recent Progress Related to Plant Chemistry/Corrosion (BWR Nuclear Power Plants)
,
Advanced Nuclear Technology International
,
Tollered, Sweden
.
71.
Generation IV International Forum (GIF), 2023,
GIF 2022 Annual Report
,
GIF
,
Paris, France.
72.
Macdonald
,
D. D.
,
2016
, “
The Electrochemical Nature of Stress Corrosion Cracking
,”
Stress Corrosion Cracking of Nickel Based Alloys in Water-Cooled Nuclear Reactors
,
Elsevier
,
Duxford, UK
, pp.
239
294
.
73.
Gordon
,
B. M.
,
2013
, “
Corrosion and Corrosion Control in Light Water Reactors
,”
JOM
,
65
(
8
), pp.
1043
1056
.10.1007/s11837-013-0658-4
74.
Was
,
G. S.
, and
Allen
,
T. R.
,
2019
, “
Corrosion Issues in Current and Next-Generation Nuclear Reactors
,”
Structural Alloys for Nuclear Energy Applications
,
Elsevier
,
Amsterdam, The Netherlands
, pp.
211
246
.
75.
Was
,
G. S.
, and
Andresen
,
P. L.
,
2020
, “
Mechanisms Behind Irradiation-Assisted Stress Corrosion Cracking
,”
Nuclear Corrosion
,
Elsevier
,
Duxford, UK
, pp.
47
88
.
76.
Eason
,
E. D.
,
Brown
,
S. B.
, and
Thomas
,
J. M.
,
1981
,
Cost-Effectiveness of Countermeasures to Intergranular Stress Corrosion Cracking in BWR Piping
,
Electric Power Research Institute
,
Palo Alto, CA
, Report No. EPRI-NP-1703.
77.
Ru
,
X.
, and
Staehle
,
R. W.
,
2013
, “
Historical Experience Providing Bases for Predicting Corrosion and Stress Corrosion in Emerging Supercritical Water Nuclear Technology: Part 1—Review
,”
Corrosion
,
69
(
3
), pp.
211
229
.10.5006/0726
78.
Ru
,
X.
, and
Staehle
,
R. W.
,
2013
, “
Historical Experience Providing Bases for Predicting Corrosion and Stress Corrosion in Emerging Supercritical Water Nuclear Technology: Part 2— Review
,”
Corros.
,
69
(
4
), pp.
319
334
.10.5006/0726.part2
79.
Ru
,
X.
, and
Staehle
,
R. W.
,
2013
, “
Historical Experience Providing Bases for Predicting Corrosion and Stress Corrosion in Emerging Supercritical Water Nuclear Technology: Part 3—Review
,”
Corros.
,
69
(
5
), pp.
423
447
.10.5006/0726.part3
80.
Staehle
,
R. W.
, and
Gorman
,
J. A.
,
2003
, “
Quantitative Assessment of Submodes of Stress Corrosion Cracking on the Secondary Side of Steam Generator Tubing in Pressurized Water Reactors: Part 1
,”
Corrosion
,
59
(
11
), pp.
931
994
.10.5006/1.3277522
81.
Staehle
,
R. W.
, and
Gorman
,
J. A.
,
2004
, “
Quantitative Assessment of Submodes of Stress Corrosion Cracking on the Secondary Side of Steam Generator Tubing in Pressurized Water Reactors: Part 2
,”
Corrosion
,
60
(
1
), pp.
5
63
.10.5006/1.3299232
82.
Staehle
,
R. W.
, and
Gorman
,
J. A.
,
2004
, “
Quantitative Assessment of Submodes of Stress Corrosion Cracking on the Secondary Side of Steam Generator Tubing in Pressurized Water Reactors: Part 3
,”
Corrosion
,
60
(
2
), pp.
115
180
.10.5006/1.3287716
83.
Eason
,
E. D.
, and
Shusto
,
L. M.
,
1986
,
Analysis of Cracking in Small Diameter BWR Piping
,
Electric Power Research Institute
,
Palo Alto, CA
, Report No. EPRI NP-4394.
84.
Kritsky
,
V. G.
,
1993
, “
Influence of Water Chemistry Regimes on Fuel Cladding Failure in LWRs
,”
Fuel Failure in Normal Operation of Water Reactors: Experience, Mechanisms and Management
,
International Atomic Energy Agency
,
Vienna, Austria
, pp.
282
285
.
85.
Kritsky
,
V. G.
,
Berezina
,
I. G.
,
Kritskij
,
A. V.
, and
Stjagkin
,
P. S.
,
1999
, “
Modelling of Zirconium Alloys Corrosion in LWR
,”
Water Chemistry and Corrosion Control of Cladding and Primary Circuit Components
,
International Atomic Energy Agency
,
Vienna, Austria
, pp.
235
241
.
86.
Niehoff
,
P.
, and
Von Jan
,
R. F.
,
1974
, “,”
Nuclear Fuel Performance: Proceedings of the International Conference Organised by the British Nuclear Energy Society
,
BWR Fuel Experience
, 15–19 Oct., 1973, the Institution of Civil Engineers, 1–7 Great George Street, Westminster, London,
British Nuclear Energy Society
,
London
, pp.
74.1
74.4
.
87.
Locke
,
D. H.
,
1975
, “
Review of Experience With Water Reactor Fuels 1968–1973
,”
Nucl. Eng. Des.
,
33
(
2
), pp.
94
124
.10.1016/0029-5493(75)90017-5
88.
Penn
,
W. J.
,
Lo
,
R. K.
, and
Wood
,
J. C.
,
1977
, “
CANDU Fuel—Power Ramp Performance Criteria
,”
Nucl. Technol.
,
34
(
2
), pp.
249
268
.10.13182/NT77-A39701
89.
Kalashnikov
,
V. V.
, and
Solyanyi
,
V. I.
,
1978
, “
Materials Science Aspects of Reliability of Fuel Elements of Water-Cooled Power Reactors
,”
Sov. At. Energy
,
44
(
6
), pp.
578
585
.10.1007/BF01117859
90.
Ballinger
,
R.
,
Christensen
,
R.
,
Eilbert
,
R.
,
Oldberg
,
S.
,
Rumble
,
E.
, and
Was
,
G.
,
1982
, “
Clad Failure Modeling and Discussions
,”
Zirconium in the Nuclear Industry
,
D. G.
Franklin
, ed.,
American Society for Testing and Materials
,
Philadelphia, PA
, pp.
129
145
.
91.
Choi
,
K.-Y.
,
Chang
,
S.-H.
, and
Yoon
,
Y.-K.
,
1991
, “
A Dynamic Reliability Model for Nuclear Fuel Element
,”
Reliab. Eng. Syst. Saf.
,
31
(
1
), pp.
111
116
.10.1016/0951-8320(91)90040-E
92.
Jernkvist
,
L. O.
,
1995
, “
A Model for Predicting Pellet-Cladding Interaction-Induced Fuel Rod Failure
,”
Nucl. Eng. Des.
,
156
(
3
), pp.
393
399
.10.1016/0029-5493(94)00961-W
93.
International Atomic Energy Agency,
1998
,
Review of Fuel Failures in Water Cooled Reactors
,
International Atomic Energy Agency
,
Vienna, Austria
.
94.
International Atomic Energy Agency,
2019
,
Review of Fuel Failures in Water Cooled Reactors (2006–2015)
,
International Atomic Energy Agency
,
Vienna, Austria
.
95.
Tayal
,
M.
,
Millen
,
E.
, and
Sejnoha
,
R.
,
1992
, “
A Semi-Mechanistic Approach to Calculate the Probability of Fuel Defects
,”
Third International Conference on CANDU Fuel
,
P. G.
Boczar
, ed.,
Canadian Nuclear Society
,
Toronto
, Oct. 4–8, Chalk River, Canada, pp.
5.21
5.37
.
96.
da Silva
,
R. L.
,
1992
, “
CAFE - A Probabilistic Model for Predicting CANDU Fuel SCC Power Ramp Failures
,”
Third International Conference on CANDU Fuel
,
P. G.
Boczar
, ed., Oct. 4–8,
Canadian Nuclear Society
,
Toronto, Chalk River, Canada
, pp.
5.38
5.52
.
97.
Garzarolli
,
F.
,
von Jan
,
R.
, and
Stehle
,
H.
,
1979
, “
The Main Causes of Fuel Element Failure in Water-Cooled Power Reactors
,”
At. Energy Rev.
,
7
(
1
), pp.
31
128
.
98.
Syrett
,
B. C.
,
1992
, “
Corrosion Control in Electric Power Plants
,”
Mater. Perform.
,
31
, pp.
52
61
.
99.
Syrett
,
B. C.
,
1993
, “
Corrosion Control in Electric Power Plants—Success Stories
,”
Corros. Sci.
,
35
(
5–8
), pp.
1189
1198
.10.1016/0010-938X(93)90339-I
100.
Elms
,
A. L.
, and
Colbert
,
J. P.
,
1995
, “
Plant Perspective of Steam Flow Calorimetric Implementation
,”
EPRI Nuclear Plant Performance Improvement Seminar
,
Electric Power Research Institute
,
Albuquerque, New Mexico
, Aug. 23–24, pp.
41
62
.
101.
Lefton
,
S. A.
,
Besuner
,
P. M.
, and
Grimsrud
,
G. P.
,
1995
, “
Managing Utility Power Plant Assets to Economically Optimize Power Plant Cycling Costs, Life, and Reliability
,”
Proceedings of International Conference on Control Applications
,
IEEE
, Albany, NY, Sept. 28–29, pp.
195
208
.10.1109/CCA.1995.555681
102.
Dillon
,
C. P.
,
1965
, “
Economic Evaluation of Corrosion Control Measure
,”
Mater. Prot.
,
4
(
5
), pp.
38
45
.
103.
Watson
,
T. R. B.
,
1984
, “
Economics Evaluation of Corrosion Control
,”
Mater. Perform.
,
23
(
1
), pp.
29
33
.
104.
Verink
,
E. D.
,
2003
, “
Corrosion Economic Calculations
,”
Corrosion: Fundamentals, Testing, and Protection
,
S. D.
Cramer
, and
B. S.
Covino
, eds.,
ASM International
, Materials Park, OH, pp.
940
945
.
105.
Richardson
,
J. A.
, and
Dawson
,
J. L.
,
2010
, “
Economic Aspects of Corrosion
,”
Shreir's Corrosion
,
Elsevier
,
Amsterdam, The Netherlands
, pp.
3040
3051
.
106.
Baker
,
R. L.
,
1993
, “
Generic Steam Generator Life Cycle Management From a Utility Perspective
,”
ASME Appl. Mech. Rev.
,
46
(
5
), pp.
152
161
.10.1115/1.3120325
107.
Pomeroy
,
D. L.
, and
Waring
,
J. P.
,
1978
,
Methods for Determining the Cost of Fuel Failures in Nuclear Power Plants
,
Electric Power Research Institute
,
Palo Alto, CA,
Paper No. EPRI-NP-854.
108.
Blanks
,
H. S.
,
1992
,
Reliability in Procurement and Use: From Specification to Replacement
,
Wiley
,
Chichester, UK
.
109.
Jackman
,
P. S.
,
2003
,
Life Cycle Costing of Corrosion in the Oil and Gas Industry - A Guideline: (EFC 32)
,
Maney Publishing
,
London, UK
.
110.
Chapgaon
,
S. A.
,
2013
, “
Material Selection in Oil and Gas Environments
,”
Corrosion and Materials in the Oil and Gas Industries
,
R.
Javaherdashti
,
C.
Nwaoha
, and
H.
Tan
, eds.,
Taylor & Francis
,
Boca Raton, FL
, pp.
273
297
.
111.
Dhillon
,
B. S.
,
1989
,
Life Cycle Costing: Techniques, Models and Applications
,
Gordon and Breach Science Publishers
,
New York
.
112.
Biezma
,
M. V.
, and
San Cristóbal
,
J. R.
,
2005
, “
Methodology to Study Cost of Corrosion
,”
Corros. Eng., Sci. Technol.
,
40
(
4
), pp.
344
352
.10.1179/174327805X75821
113.
Electric Power Research Institute,
2001
,
Cost of Corrosion in the Electric Power Industry
,
Electric Power Research Institute
,
Palo Alto, CA
, p.
1004662
.
114.
Electric Power Research Institute,
2002
,
Priorities for Corrosion Research and Development for the Electric Power Industry
,
Electric Power Research Institute
,
Palo Alto, CA
, p.
1007274
.
115.
Somm
,
E.
,
Schlachter
,
W.
, and
Schwarzenbach
,
A.
,
1984
, “
Power Generating Equipment
,”
Corrosion in Power Generating Equipment
,
Plenum Press
,
New York
, pp.
3
25
.
116.
Mason
,
E. A.
,
1972
, “
Overall View of the Nuclear Fuel Cycle
,”
Education and Research in the Nuclear Fuel Cycle
,
D. M.
Elliott
, and
L. E.
Weaver
, eds.,
University of Oklahoma Press
,
Norman, OK
, pp.
3
23
.
117.
Marsh
,
W. D.
,
1980
,
Economics of Electric Utility Power Generation
,
Oxford University Press
,
New York
.
118.
Li
,
K. W.
, and
Priddy
,
A. P.
,
1985
,
Power Plant System Design
,
Wiley
,
New York
.
119.
Horlock
,
J. H.
,
1987
,
Cogeneration: Combined Heat and Power
,
Pergamon Press
,
Oxford, UK
.
120.
Gülen
,
S. C.
,
2011
, “
A More Accurate Way to Calculate the Cost of Electricity
,”
Power
,
155
(
6
), pp.
62
65
.
121.
Gülen
,
S. C.
, and
Mazumder
,
I.
,
2013
, “
An Expanded Cost of Electricity Model for Highly Flexible Power Plants
,”
ASME J. Eng. Gas Turbines Power
,
135
(
1
), p.
011801
.10.1115/1.4007379
122.
Rothwell
,
G.
,
2016
,
Economics of Nuclear Power
,
Routledge
,
London/New York
.
123.
Gülen
,
S. C.
,
2019
,
Gas Turbines for Electric Power Generation
,
Cambridge University Press
,
Cambridge, UK
.
124.
Stoll
,
H. G.
,
1989
,
Least-Cost Electric Utility Planning
,
Wiley
,
New York
.
125.
Osterhout
,
M. M.
,
1980
,
Decontamination and Decommissioning of Nuclear Facilities
,
Plenum Press
,
New York
.
126.
Murray
,
A. P.
,
1986
, “
A Chemical Decontamination Process for Decontaminating and Decommissioning Nuclear Reactors
,”
Nucl. Technol.
,
74
(
3
), pp.
324
332
.10.13182/NT86-A33835
127.
Office of the Federal Register, National Archives and Records Administration
,
2023
, “
18 CFR 101 Uniform System of Accounts Prescribed for Public Utilities and Licensees Subject to the Provisions of the Federal Power Act
,”
Office of the Federal Register, National Archives and Records Administration
, accessed Feb. 9, 2024, https://www.govinfo.gov/app/details/CFR-2023-title18-vol1/CFR-2023-title18-vol1-part101
128.
Knight
,
U. G.
,
1972
,
Power Systems Engineering and Mathematics
,
Pergamon Press
,
Oxford, UK
.
129.
Sullivan
,
R. L.
,
1977
,
Power System Planning
,
McGraw-Hill
,
New York
.
130.
Vardi
,
J.
, and
Avi-Itzhak
,
B.
,
1981
,
Electric Energy Generation: Economics, Reliability, and Rates
,
MIT Press
,
Cambridge, MA
.
131.
Billinton
,
R.
, and
Allan
,
R. N.
,
1996
,
Reliability Evaluation of Power Systems
,
Springer
,
New York
.
132.
Todreas
,
N. E.
, and
Kazimi
,
M. S.
,
2021
,
Nuclear Systems Volume I
,
CRC Press
,
Boca Raton, FL
.
133.
Hassanien
,
S.
, and
Rouse
,
S.
,
1997
, “
Thermal Efficiency Improvements: An Imperative for Nuclear Generating Stations
,”
Fourth International Conference on CANDU
, Toronto, ON, Canada, Nov. 16–18,
Canadian Nuclear Society, Toronto
, ON, Canada, pp.
89
95
.
134.
Noel
,
R.
,
1989
, “
PWR Life Evaluation Project of EdF
,”
Nucl. Eng. Des.
,
113
(
3
), pp.
337
342
.10.1016/0029-5493(89)90026-5
135.
Misra
,
K. B.
,
1992
, “
Reliability Data Analysis and Management
,”
Reliability Analysis and Prediction
,
Elsevier
,
Amsterdam
, pp.
171
246
.
136.
Pursel
,
C. A.
,
1961
, “
USAEC Nuclear Superheat Programme
,”
Small and Medium Power Reactors
,
International Atomic Energy Agency
,
Vienna
, pp.
83
110
.
137.
Birolini
,
A.
,
2017
,
Reliability Engineering
,
Springer
,
Berlin Heidelberg, Berlin, Heidelberg
.
138.
Olander
,
D. R.
, and
Motta
,
A. T.
,
2021
, “
Waterside Corrosion of Zirconium Alloy Cladding
,”
Light Water Reactor Materials: Volume II Applications
,
American Nuclear Society
,
La Grange Park, IL
, pp.
991
1046
.
139.
Ashby
,
M. F.
,
2011
,
Materials Selection in Mechanical Design
,
Elsevier
,
Amsterdam, The Netherlands
.
140.
Keynes
,
J. M.
,
1978
,
A Treatise on Probability
,
Cambridge University Press
,
Cambridge, UK
.
141.
Stuhlbarg
,
D.
,
1970
, “
Calculating the Calculated Risk
,”
Modern Cost-Engineering Techniques
,
McGraw-Hill
,
New York
, pp.
401
403
.
142.
Elliott
,
R.
,
1951
,
Economic Factors in the Selection of Steam Temperatures in Nuclear Power Plants
,
Atomic Energy Research Department
, Report No. HAA-SR-145.
143.
OECD Nuclear Energy Agency
,
1995
,
Methods of Projecting Operations and Maintenance Costs for Nuclear Power Plants
,
Nuclear Energy Agency, Organisation for Economic Co-Operation and Development
,
Paris, France
.
144.
Lundholm
,
M.
,
2013
,
Cost Analysis of Lead Cooled Fast Reactors and the ELECTRA Project
,
Royal Institute of Technology
,
Stockholm, Sweden
.
145.
Bowers
,
H. I.
,
Fuller
,
L. C.
, and
Myers
,
M. L.
,
1987
,
Cost Estimating Relationships for Nuclear Power Plant Operation and Maintenance
,
Oak Ridge, TN
, Report No. ORNL/TM-10563.
146.
Myers
,
M. L.
,
Fuller
,
L. C.
, and
Bowers
,
H. I.
,
1982
,
Nonfuel Operation and Maintenance Costs for Large Steam-Electric Power Plants-1982
,
Oak Ridge National Laboratory
, Report No. ORNL ORNL/TM-8324.
147.
Carelli
,
M. D.
,
Garrone
,
P.
,
Locatelli
,
G.
,
Mancini
,
M.
,
Mycoff
,
C.
,
Trucco
,
P.
, and
Ricotti
,
M. E.
,
2010
, “
Economic Features of Integral, Modular, Small-to-Medium Size Reactors
,”
Prog. Nucl. Energy
,
52
(
4
), pp.
403
414
.10.1016/j.pnucene.2009.09.003
148.
International Atomic Energy Agency (IAEA)
,
2013
,
Approaches for Assessing the Economic Competitiveness of Small and Medium Sized Reactors
,
IAEA Nuclear Energy
,
Vienna
, Series No. NP-T-3.7.
149.
Ganda
,
F.
,
2015
,
Economic Evaluation of Promising Options
,
Argonne National Laboratory (ANL)
,
Argonne, IL (United States)
FCRD-FCO-2015-000013.
150.
Egieya
,
J. M.
,
Amidu
,
M. A.
, and
Hachaichi
,
M.
,
2023
, “
Small Modular Reactors: An Assessment of Workforce Requirements and Operating Costs
,”
Prog. Nucl. Energy
,
159
, p.
104632
.10.1016/j.pnucene.2023.104632
151.
Choppin
,
G.
,
Liljenzin
,
J.-O.
,
Rydberg
,
J.
, and
Ekberg
,
C.
,
2013
, “
Nuclear Power Reactors
,”
Radiochemistry and Nuclear Chemistry
,
Elsevier
,
Oxford
, pp.
655
684
.
152.
Frattini
,
P. L.
, and
Moser
,
T.
,
2000
,
The Ultrasonic Key to Clean Fuel
,
Nuclear Engineering International
,
London, UK
.
153.
Olsen
,
A. R.
,
1979
,
Thorium Fuel Cycle Studies: Fuel Fabrication Process and Cost Estimation
,
Oak Ridge, TN
, Report No. ORNL/TM-5961.
154.
Nordmann
,
F.
,
Stutzmann
,
A.
, and
Bretelle
,
J. L.
,
2002
, “
Overview of PWR Chemistry Options
,”
Chemistry 2002: International Conference on Water Chemistry in Nuclear Reactors Systems—Operation Optimisation and New Developments
, Avignon, France, Apr. 22–26.
155.
Nordmann
,
F.
,
2004
, “
Aspects on Chemistry in French Nuclear Power Plants
,”
14th International Conference on the Properties of Water and Steam in Kyoto
, Kyoto, Japan, Aug. 29–Sept. 3, pp.
521
530
.
156.
Nordmann
,
F.
,
2011
, “
PWR and BWR Chemistry Optimization
,”
Nuclear Engineering International
,
London, UK
, pp.
24
29
.
157.
Bengtsson
,
B.
,
Svanberg
,
P.
,
Bothin
,
U.
,
Svärd
,
G.
, and
Rocher
,
A.
,
2008
, “
Experience of Water Treatment Applications at Ringhals
,”
NPC '08 Berlin: International Conference on Water Chemistry of Nuclear Reactor Systems
, Berlin, Germany, Sept. 15–18,
VGB PowerTech
.
158.
Wilson
,
J. A.
,
Mura
,
M.
,
Garcia
,
S.
, and
Giannelli
,
J. F.
,
2008
, “
Commissioning of the First U.S. Hollow Fiber Condensate Filtration System
,”
NPC '08 Berlin: International Conference on Water Chemistry of Nuclear Reactor Systems
, Berlin, Germany, Sept. 15–18,
VGB PowerTech
.
159.
Ryan
,
L. F.
, and
Limon
,
L.
,
1970
, “
Condensate Treatment Considerations for Boiling-Water Reactor Systems
,”
Proceedings of the American Power Conference
, Chicago, IL, May 8–10, pp.
757
770
.
160.
Ryan
,
L. F.
,
1973
, “
The Impact of Powered Ion-Exchange Resins for Water Treatment on BWR Operations
,”
Proceedings of the American Power Conference
, pp.
864
874
.
161.
Simon
,
G. P.
,
1979
, “
Water Treatment in Nuclear Power Plants
,”
Ion Exchange Pollution Control
,
C.
Calmon
, and
H.
Gold
, eds.,
CRC Press
,
Boca Raton, FL
.
162.
Comley
,
G. C. W.
,
1985
, “
The Significance of Corrosion Products in Water Reactor Coolant Circuits
,”
Prog. Nucl. Energy
,
16
(
1
), pp.
41
72
.10.1016/0149-1970(85)90005-8
163.
International Atomic Energy Agency,
2002
,
Application of Ion Exchange Processes for Treatment of Radioactive Waste and Management of Spent Ion Exchangers
,
International Atomic Energy Agency
,
Vienna, Austria
.
164.
Lin
,
K. H.
,
1973
,
Use of Ion Exchange for the Treatment of Liquids in Nuclear Power Plants
,
Oak Ridge, TN
.
165.
Dobrevski
,
I. D.
,
1986
, “
Ion-Exchange Systems and Ion-Exchange Materials in Nuclear Power Plants
,”
Ion Exchange Technology in the Nuclear Fuel Cycle, International Atomic Energy Agency
,
Vienna, Austria
, pp.
131
176
.
166.
Bour
,
D. P.
,
Langston
,
D. S.
,
Lechnick
,
W.
, and
Riddle
,
J. M.
,
1979
,
Refueling Outage Water Clarity Improvement Study
,
Pittsburgh, PA
.
167.
Nott
,
B. R.
,
1983
, “
Water Chemistry and Corrosion Problems in Nuclear Power Plants
,”
Electrodialytic Decontamination of Spent Ion Exchange Resins From CANDU Primary Heat Transport Purification Circuits
,
International Atomic Energy Agency
,
Vienna
, Austria, pp.
295
311
.
168.
Rothwell
,
G.
,
2004
, “
Nuclear Power Economics
,”
Encyclopedia of Energy
,
Elsevier
,
Amsterdam, The Netherlands
, pp.
383
394
.
169.
Jeynes
,
P. H.
,
1968
,
Profitability and Economic Choice
,
Iowa State University Press
,
Ames, IA
.
170.
Nordmann
,
F.
, and
Viricel-Honorez
,
L.
,
1998
, “
EDF Approach on OD Corrosion of SG Tubes
,”
Water Chemistry '98: 1998 JAIF International Conference on Water Chemistry in Nuclear Power Plants
, Kashiwazaki, Niigata (Japan), Oct. 13–16,
Japan Atomic Industrial Forum
.
171.
Nordmann
,
F.
,
2007
, “
Efficient, Sustainable, and Economical Plant Operation
,”
Power Plant Chem.
,
9
(
1
), pp.
4
10
.
172.
Ford
,
F. P.
,
Gordon
,
B. M.
, and
Horn
,
R. M.
,
2012
, “
Intergranular Stress Corrosion Cracking (IGSCC) in Boiling Water Reactors (BWRs
),”
Nuclear Corrosion Science and Engineering
,
Elsevier
,
Cambridge, UK
, pp.
548
580
.
173.
Andresen
,
P. L.
,
2015
, “
Why Historical Material Degradation Experience Might Not Represent Future Response
,”
Corrosion
,
NACE International
,
Dallas, TX
, Mar. 15–19, pp.
1
14
.
174.
Commons
,
J. R.
,
2017
,
Legal Foundations of Capitalism
,
Routledge
,
London and New York
.
175.
Commons
,
J. R.
,
2017
,
Institutional Economics: Its Place in Political Economy
,
Routledge
,
London and New York
.
176.
Commons
,
J. R.
,
1951
,
The Economics of Collective Action
,
Macmillan Company
,
New York
.
177.
Olds
,
F. C.
,
1983
, “
Major Rotating Equipment Design Developments
,”
Power Eng.
,
87
(
2
), pp.
42
50
.
178.
Jonas
,
O.
,
1987
, “
Water Chemistry and Corrosion Control
,”
American Nuclear Society Winter Meeting
,
Los Angeles, CA
, Nov. 15, pp.
251
252
.
179.
Elder
,
G. G.
,
1993
, “
Managing Steam Generator Margin
,”
International Nuclear Congress
,
Toronto, ON, Canada
, Oct. 3–6.
180.
Dawson
,
J. L.
,
2010
, “
Corrosion Management Overview
,”
Shreir's Corrosion
,
Elsevier
,
Amsterdam, The Netherlands
, pp.
3001
3039
.
181.
Javaherdashti
,
R.
, ed.,
2022
,
Corrosion Policy Decision Making
,
Wiley
,
Hoboken, NJ
.
182.
Syrett
,
B. C.
, and
Gorman
,
J. A.
,
2003
, “
Cost of Corrosion in the Electric Power Industry - An Update
,”
Mater. Performance
,
42
(
2
), pp.
32
38
.
183.
Électricité de France
,
2022
,
Update on the Stress Corrosion Phenomenon and Adjustment of 2022 French Nuclear Output Estimate
, EdF, Report.
184.
Électricité de France,
2022
, “
Half-Year Financial Report at 30 June 2022
,” EdF Report.