Modeling and simulation of a controlled steam generator in the context of dynamic reliability using a Stochastic Hybrid Automaton

Babykina, Génia; Brînzei, Nicolae; Aubry, Jean‐François; Deleuze, Gilles

doi:10.1016/j.ress.2016.03.009

Cited by 30 publications

(13 citation statements)

References 29 publications

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“…The main advantage of dynamic reliability is the possibility to address the evaluation of a system both in terms of dependability attributes (reliability, availability and maintenance) and performance (production and other relevant key performance indicators, like the service availability). Several contributions in industrial [37] and nuclear applications have already shown the improved accuracy of this modelling paradigm [14,38], supported also by other works [39][40][41][42][43] addressing the evaluation of the failure rates with respect to the system working conditions. Unfortunately, the failure behavior of a system component with respect to the system operating conditions is not always known [44,45] and this represents the most important limitation for the use of dynamic reliability approaches.…”

Section: Related Workmentioning

confidence: 63%

On the use of dynamic reliability for an accurate modelling of renewable power plants

Chiacchio

D’Urso

Famoso

et al. 2018

Energy

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Renewable energies are a key element of the modern sustainable development. They play a key role in contributing to the reduction of the impact of fossil sources and to the energy supply in remote areas where the electrical grid cannot be reached. Due to the intermittent nature of the primary renewable resource, the feasibility assessment, the performance evaluation and the lifecycle management of a renewable power plant are very complex activities. In order to achieve a more accurate system modelling, improve the productivity prediction and better plan the lifecycle management activities, the modelling of a renewable plant may consider not only the physical process of energy transformation, but also the stochastic variability of the primary resource and the degradation mechanisms that affect the aging of the plant components resulting, eventually, in the failure of the system. This paper presents a modelling approach which integrates both the deterministic and the stochastic nature of renewable power plants using a novel methodology inspired from reliability engineering: the Stochastic Hybrid Fault Tree Automaton. The main steps for the design of a renewable power plant are discussed and implemented to estimate the energy production of a real photovoltaic power plant by means of a Monte Carlo simulation process. The proposed approach, modelling the failure behavior of the system, helps also with the evaluation of other key performance indicators like the power plant and the service availability.

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Section: Related Workmentioning

confidence: 63%

On the use of dynamic reliability for an accurate modelling of renewable power plants

Chiacchio

D’Urso

Famoso

et al. 2018

Energy

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“…Its full description can be found in Aubry and colleagues. 23,24 This case study touches upon the secondary water circuit of power plant and it has been defined in the context of dynamic reliability. In this article, only the structure of the system is taken into account and its components are considered as non-repairable in order to match to proposed approach.…”

Section: Reliability Of Coherent Systemsmentioning

confidence: 99%

“…For all components, their failures during operating (for CEX , TPA T , TPA OT , ARE HF , ARE SF ), or break-down or severe leak (for VVP ) are considered. According to Aubry and colleagues, 23,24 the components’ failure rates for these failure modes are provided in Table 1.…”

Section: Reliability Of Coherent Systemsmentioning

confidence: 99%

Graphs models and algorithms for reliability assessment of coherent and non-coherent systems

Brînzei

Aubry

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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In this article, we propose new models and algorithms for the reliability assessment of systems relying on concepts of graphs theory. These developments exploit the order relation on the set of system components' states which is graphically represented by the Hasse diagram. The monotony property of the reliability structure function of coherent systems allows us to obtain an ordered graph from the Hasse diagram. This ordered graph represents all the system states and it can be obtained from only the knowledge of the system tie-sets. First of all, this model gives a new way for the research of a minimal disjoint Boolean polynomial, and, second, it is able to directly find the system reliability without resorting to an intermediate Boolean polynomial. Browsing the paths from the minimal tie-sets to the maxima of the ordered graph and using a weight associated with each node, we are able to propose a new algorithm to directly obtain the reliability polynomial by the research of sub-graphs representing eligible monomials. This approach is then extended to non-coherent systems thanks to the introduction of a new concept of terminal tie-sets. These algorithms are applied to some case studies, for both coherent and non-coherent real systems, and the results compared with those computed using standard reliability block diagram or fault tree models validate the proposed approach. Formal definitions of used graphs and of developed algorithms are also given, making their software implementation easy and efficient.

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“…Nevertheless, the number of components in the network is too large for efficient use of this approach; thus, only asymptotic properties should be included (see de Saporta et al or Zhang et al for details). Other approaches based on hybrid automata or stochastic Petri nets (SPN) can be used, but with difficulty due to the large number of components in a WSN (for other complex systems, see Zhang et al, Babykina et al). This type of model may be used for the study of dynamic behaviors in local or global WSNs, with some additional assumptions, for example, see conclusions (Section 8).…”

Section: Pv‐wsn Reliability Modelingmentioning

confidence: 99%

“…More precisely, the problem can be formulated in terms of stochastic processes, especially as a piecewise inhomogeneous Markovian process (or semi-Markovian process). Nevertheless, the number of components in the network is too large for efficient use of this approach; thus, only asymptotic properties should be included (see de Saporta et al 33 35 ). This type of model may be used for the study of dynamic behaviors in local or global WSNs, with some additional assumptions, for example, see conclusions (Section 8).…”

Section: Modeling Assumptionsmentioning

confidence: 99%

Photovoltaics in the assessment of wireless sensor network reliability with changing environmental conditions

Kassan

Châtelet

2017

Quality & Reliability Eng

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This paper presents a reliability assessment of a wireless sensor network (WSN) equipped with mini photovoltaic cells (PV-WSN) under natural environmental conditions while accounting for different types of system failures. In particular, our assessment considers the hardware specifications of the sensors, photovoltaic (PV) specifications, the use of rechargeable batteries, communication protocols, and various elements required for efficient detection of environmental conditions. We accomplished this by developing a simulator that generated data for 2 broad WSN conditions: (1) WSN without PV and (2) WSN with PV. The dynamic source routing protocol was employed for these simulations, and the following variables were assessed for both conditions: WSN reliability, the impact of energy consumption on the network, and the types of failures that lead to sensor unavailability. The following assumptions were made to run the simulation: the distribution of WSN nodes is random, with 1 sink node per rectangular cluster, the sensor nodes are structurally and functionally identical, environmental interference and suboptimal orientation impair PV cell recharge capacity randomly, and no communication loss occurs. Our reliability assessment assumed extreme environmental conditions and further made assessments of component reliability that included the following parameters: sensor and PV cell hardware specifications, the rechargeable nature of PV cell batteries for different sensor activity states, the availability of sunlight for powering PV cells, and the energy efficiency of PV cells. We found that network lifetime was prolonged for the PV-WSN condition over the WSN without PV condition, introducing a role for PV cells as potential energy sources for WSNs.

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Modeling and simulation of a controlled steam generator in the context of dynamic reliability using a Stochastic Hybrid Automaton

Cited by 30 publications

References 29 publications

On the use of dynamic reliability for an accurate modelling of renewable power plants

On the use of dynamic reliability for an accurate modelling of renewable power plants

Graphs models and algorithms for reliability assessment of coherent and non-coherent systems

Photovoltaics in the assessment of wireless sensor network reliability with changing environmental conditions

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