A Simulation-Based Framework for the Adequacy Assessment of Integrated Energy Systems Exposed to Climate Change

Maio, Francesco Di; Morelli, Susanna; Zio, Enrico

doi:10.1007/978-3-030-72322-4_125-1

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…This entails defining analytical models for each component of the power system, e.g., electric grid, gas pipeline and energy conversion system. In practice, with reference to our case study, the power flow allows computing Vm and 𝜃𝜃 𝑛𝑛 in each m-th electric grid node, the active and reactive power 𝑃𝑃 𝑛𝑛 and 𝑄𝑄 𝑛𝑛 , respectively, generated/absorbed power in the m-th node and, indirectly, pressure 𝑝𝑝 𝜗𝜗 in each 𝜗𝜗-th gas distribution node and volume flow rate 𝑄𝑄 𝜗𝜗𝜗𝜗 in each pipeline connecting the 𝜗𝜗-th and the 𝜗𝜗-th nodes of the gas network [29]. The power-flow model provides, at each iteration τ, the steady state solution of 𝑋𝑋 � (𝜏𝜏) (hereafter indicated as 𝑋𝑋 � ) and of F(𝑋𝑋 � ), correspondingly:…”

Section: The Simulation Of the Ies Responsementioning

confidence: 99%

A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios

2022

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This paper proposes a novel framework for the analysis of integrated energy systems (IESs) exposed to both stochastic failures and “shock” climate-induced failures, such as those characterizing NaTech accidental scenarios. With such a framework, standard centralized systems (CS), IES with distributed generation (IES-DG) and IES with bidirectional energy conversion (IES+P2G) enabled by power-to-gas (P2G) facilities can be analyzed. The framework embeds the model of each single production plant in an integrated power-flow model and then couples it with a stochastic failures model and a climate-induced failure model, which simulates the occurrence of extreme weather events (e.g., flooding) driven by climate change. To illustrate how to operationalize the analysis in practice, a case study of a realistic IES has been considered that comprises two combined cycle gas turbine plants (CCGT), a nuclear power plant (NPP), two wind farms (WF), a solar photovoltaicS (PV) field and a power-to-gas station (P2G). Results suggest that the IESs are resilient to climate-induced failures.

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Section: The Simulation Of the Ies Responsementioning

confidence: 99%

A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios

2022

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“…In addition, if the cNPP covers a predominant fraction of the overall IES power-generating capacity, its isolation from the electrical grid after a partial LOEL may lead to the shutdown of the other elements within the IES (e.g., production plants, transmission assets, etc. ), and to a cascading collapse of larger portions of the IES [35]; again, the cNPP would constitute a burden on IES recovery operations.…”

Section: Or Peer Reviewmentioning

confidence: 99%

The Contribution of Small Modular Reactors to the Resilience of Power Supply

Maio

Bani

Zio

2022

JNE

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In recent years, there has been a growing interest in the design, development and commercialization of nuclear power Small Modular Reactors (SMRs). Actual SMR designs cover the full spectrum of nuclear reactor technologies, including water-, gas-, liquid-metal-, and molten-salt-cooled. Despite physical and technological differences, SMRs share some relevant design features, such as small size, modularity, inherent and passive safety systems. These features are expected to enhance availability, recoverability, promptness and robustness, thereby contributing to the resilience of power supply. Thanks to the peculiar design features of SMRs, they are likely to satisfy a number of Functional Requirements (FRs) for this objective, namely: (i) low vulnerability to external hazards; (ii) natural circulation of primary coolant; (iii) prompt, unlimited and independent core cooling under shutdown conditions; (iv) shutdown avoidance in response to variations of the offsite power supply quality and electrical load; (v) island mode operation; (vi) robust load-following; (vii) independent, self-cranking start. These make advanced Nuclear Power Plants (aNPPs) comprised of SMRs perfect candidates to withstand a broader range of natural disruptions and to recover faster from them, compared to conventional Nuclear Power Plants (cNPPs), thus rendering them a major potential asset for guaranteeing resilience and security of power supply. The review focuses on Natural Technological (NaTech) events that impact a typical Integrated Energy System (IESs) within which SMRs are embedded: IESs are, indeed, being developed to integrate different power generation plants with gas facilities, through gas and electricity infrastructures, because they are expected to bring increased security and resilience of power supply, as shown in the qualitative case study presented.

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“…The increased frequency and severity of extreme natural events calls for reliable, safe and resilient energy systems (Schaeffer et al, 2012;Perera et al, 2020;Di Maio et al, 2021). This is of great concern also for the nuclear power industry, due to the potentially catastrophic consequences of accidents (Kemeny, 1979;Lipscy et al, 2013;Eddy and Sase, 2015) and the requirements on post-accident response (Ahn et al, 2017;Funabashi and Kitazawa, 2012).…”

Section: Introductionmentioning

confidence: 99%

Seismic Resilience Assessment of Small Modular Reactors by a Three-Loop Monte Carlo Simulation

Maio¹,

Zio

Bani³

2022

SSRN Journal

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A Simulation-Based Framework for the Adequacy Assessment of Integrated Energy Systems Exposed to Climate Change

Cited by 6 publications

References 36 publications

A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios

A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios

The Contribution of Small Modular Reactors to the Resilience of Power Supply

Seismic Resilience Assessment of Small Modular Reactors by a Three-Loop Monte Carlo Simulation

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