Critically assessing and projecting the frequency, severity, and cost of major energy accidents

Kim, Jinsoo; Ryu, Donghoon; Sovacool, Benjamin K.

doi:10.1016/j.exis.2021.02.005

Cited by 5 publications

(6 citation statements)

References 27 publications

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“…Grappling with inequities at the manufacturing stage can be difficult because it transcends different levels of a system, including the supply chain, the company, the factory, the production or assembly line, the work cell, or even a machine tool or particular process (39,98). Example manufacturing metrics from more extensive lists (14,52,97,99) include working and employment conditions, industrial process emissions such as tons of methane, and chemical contamination of the working environment such as the release of heavy metals in the air or water. The latter two metrics align with both traditional environmental justice frameworks and energy justice.…”

Section: Multiscalar Supply Chain Inequitiesmentioning

confidence: 99%

Metrics for Decision-Making in Energy Justice

Baker,

Carley,

Castellanos

et al. 2023

Annu. Rev. Environ. Resour.

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Energy equity and justice have become priority considerations for policymakers, practitioners, and scholars alike. To ensure that energy equity is incorporated into actual decisions and analysis, it is necessary to design, use, and continually improve energy equity metrics. In this article, we review the literature and practices surrounding such metrics. We present a working definition for energy justice and equity, and connect them to both criteria for and frameworks of metrics. We then present a large sampling of energy equity metrics, including those focused on vulnerability, wealth creation, energy poverty, life cycle, and comparative country-level dynamics.We conclude with a discussion of the limitations, gaps, and trade-offs associated with these various metrics and their interactions thereof.

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Section: Multiscalar Supply Chain Inequitiesmentioning

confidence: 99%

Metrics for Decision-Making in Energy Justice

Baker,

Carley,

Castellanos

et al. 2023

Annu. Rev. Environ. Resour.

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“…While hydroelectric energy results in the most severe accidents (fatalities), and nuclear energy is the most expensive system, wind energy contributes to the majority of accidents. In addition to the previous analyses in [23,24], [25] examined 4450 energy accidents from 1800 to 2018 across a variety of energy systems and estimates up to 1.72 million possible deaths in 2040, identifying the root causes and activities that resulted in the most deaths and financial damage.…”

Section: Statistics On Accidentsmentioning

confidence: 99%

“…While [23][24][25] analyze all sources of energy, the following studies in this group focused specifically on wind energy:…”

Section: Statistics On Accidentsmentioning

confidence: 99%

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Analyzing a Decade of Wind Turbine Accident News with Topic Modeling

Ertek

Kailas

2021

Sustainability

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Despite the significance and growth of wind energy as a major source of renewable energy, research on the risks of wind turbines in the form of accidents and failures has attracted limited attention. Research that applies data analytics methodologically in this context is scarce. The research presented here, upon construction of a text corpus of 721 selected wind turbine accident and failure news reports, develops and applies a custom-developed data analytics framework that integrates tabular analysis, visualization, text mining, and machine learning. Topic modeling was applied for the first time to identify and classify recurring themes in wind turbine accident news, and association mining was applied to identify contextual terms associated with death and injury. The tabular and visual analyses relate accidents to location (offshore vs. onshore), wind turbine life cycle phases (transportation, construction, operation, and maintenance), and the incidence of death and injury. As one of the insights, more incidents were found to occur during operation and transportation. Through topic modeling, topics associated most with deaths and injuries were revealed. The results could benefit wind turbine manufacturers, service providers, energy companies, insurance companies, government bodies, non-profit organizations, researchers, and other stakeholders in the wind energy sector.

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“…Natural gas mining and transport through pipelines are considered among the safest means of energy transport. Over the period 1800 -2018, less than 300 serious accidents have been documented worldwide, which is, for instance, 4 times less than in oil transport, 8 times less than in the coal industry, and 10% lower than accidents count in wind energy (Kim et al, 2021). In the standard practice, accidents in the energy sector are categorized in terms of fatalities and property damage, which are documented by the authorities (e.g., Pipeline and Hazardous Materials Safety Administration in the US).…”

Section: Introductionmentioning

confidence: 99%

A bottom-up emission estimate for the 2022 Nord-Stream gas leak: derivation, simulations and evaluation

Kouznetsov,

Hänninen,

Uppstu

et al. 2023

Preprint

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Abstract. A major release of methane from the Nord Stream pipelines occurred in the Baltic sea on 26 September 2022. Elevated levels of methane were recorded at many observational sites in northern Europe. While it is relatively straightforward to estimate the total emitted amount from the incidents (around 330 kt of methane), the detailed vertical and temporal distributions of the releases are needed for numerical simulations of the incident. Based on information from public media and basic physical concepts, we reconstructed vertical profiles and temporal evolution of the methane releases from the broken pipes, and simulated subsequent transport of the released methane in the atmosphere. Since we used pure-methane assumption, the inventory total amounts to 290 kt of methane. The emission rates were calculated with a numerical solution of a problem of a gas leak from a half-opened pressurized pipe. Initial vertical distribution of the released gas was derived from a parametrization for an injection height of buoyant plumes, and validated with a set of large-eddy simulations by means of UCLALES model. The estimated emission source was used to simulate the dispersion of the gas plume with the SILAM chemistry transport model. The simulated fields of the excess methane led to noticeable increase of concentrations at several carbon-monitoring stations in the Baltic Sea region. Comparison of the simulated and observed time series indicated an agreement within a couple of hours between timing of the plume arrival/departure at the stations with observed methane peaks. Comparison of absolute levels was quite uncertain. At most of the stations the magnitude of the observed and modelled peaks was comparable with natural variability of methane concentrations. The magnitude of peaks at a few stations close to the release was well above natural variability, however the magnitude of the peaks was very sensitive to minor uncertainties in the emission vertical profile and in the meteorology used to drive SILAM. The obtained emission inventory and the simulation results can be used for further analysis of the incident and its climate impact. They can also be used as a test case for atmospheric dispersion models.

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Critically assessing and projecting the frequency, severity, and cost of major energy accidents

Cited by 5 publications

References 27 publications

Metrics for Decision-Making in Energy Justice

Metrics for Decision-Making in Energy Justice

Analyzing a Decade of Wind Turbine Accident News with Topic Modeling

A bottom-up emission estimate for the 2022 Nord-Stream gas leak: derivation, simulations and evaluation

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