Carbon Storage Tanker Lifetime Assessment

Abstract

CO 2 capture and storage (CCS) is an important strategy to reduce global CO 2 emissions. This work presents both cutting-edge carbon storage tanker design, as well as novel reliability method making possible to extract useful information about the lifespan distribution of carbon capture systems from their recorded time history. The method outlined may be applied on more complex sustainable systems that are exposed to environmental stresses throughout the whole period of their planned service life. The latter is of paramount importance at the design stage for complex engineering systems. Novel design for CCS system is discussed and accurate numerical simulation results are used to apply suggested novel reliability methodology. Furthermore, traditional reliability approaches that deal with complex energy systems are not well suited for handling high dimensionality and cross-correlation between various system components of innovative dynamic CO 2 storage subsea shuttle tanker. This study has two distinctive key features: the state of art CCS design concept, and the novel general purpose reliability method, recently developed by authors, and particularly suitable for operational safety study of complex energy systems.

On safe offshore energy exploration in the Gulf of Eilat

“…Then, the estimate from the Gaidai‐Xing approach was compared to the level of the probability $$p\ = {10}^{ - 3.5}\ $$, associated with this contour line. It was observed that the estimating results of the probability level by ACER2D was within the 95% Confidence Interval (CI) estimated by Gaidai‐Xing 26,64–70 …”

Analytical and Computational Modeling for Multi-Degree of Freedom Systems: Estimating the Likelihood of an FOWT Structural Failure

“…Note that P ≡ P(1) is from Equation (1). Non-exceedance system survival probability P(λ) may be now estimated as follows [54][55][56][57][58][59][60][61][62][63][64]:…”

“…. being ranked based on the non-decreasing occurrence times of these local maxima [59][60][61][62][63][64][65]. Figure 5 presents an example of a non-dimensional assembled vector → R, consisting of assembled local maxima of the FWT's internal forces; λ > 0.05 cut-on limit was used for illustrative purposes, as lower values λ ≥ 0 are obviously irrelevant for the failure/hazard system's PDF tail extrapolation towards the target λ = 1.…”

Energy harvester reliability study by Gaidai reliability method

“…Figure 3b presents return periods expressed in 2, 5, and 10 years, respectively, per 2D contour line. Return periods of the order of 10 years are of practical relevance for GPEH design (Daqaq, 2015; Fazeres‐Ferradosa, Taveira‐Pinto, Romão, et al., 2018; Rugbjerg et al., 2006; Sun, Gaidai, Wang, et al., 2023) as well as for various offshore wind energy installations, such as floating wind turbines (see Sun, Gaidai, Wang, et al., 2023), wind farm offshore vessels, joint wave heights, and wind speed 2D bivariate statistics (Avvari et al., 2017; Daue & Kunzmann, 2008; Gaidai et al., 2019; Gaidai et al., 2020; Gaidai, Hu, et al., 2023; Gaidai, Wang, & Yakimov, 2023; Gaidai, Wang, Wu, et al., 2022; Sherrit et al., 2014; Soma & De Pasquale, 2013; Stanton et al., 2012; Williams et al., 2004; Xing et al., 2022).…”