Simulating oil spill movement and behavior: a case study from the Gulf of Suez, Egypt

Abdallah, Ibrahem M.; Chantsev, V. Y.

doi:10.1007/s40808-022-01449-9

Cited by 10 publications

(6 citation statements)

References 51 publications

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“…Figure 2 demonstrates a PFD for production of green hydrogen. PFD is sketched based on the most common method used for green hydrogen synthesis, which is water electrolysis [33]. https://ijisd.journals.ekb.eg/…”

Section: Green Hydrogen Inputmentioning

confidence: 99%

Process Simulation and Design of Green Ammonia Production Plant for Carbon Neutrality

Shaker,

El-Bagoury,

Yaser

et al. 2024

International Journal of Industry and Sustainable Development

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This study investigated the viability of green hydrogen as an essential component in the global energy transition. Despite intensified efforts prompted by the ongoing global energy crisis, impediments have arisen, notably in the area of green hydrogen storage techniques. The inherently hazardous nature of hydrogen gas, resembling an explosion when stored conventionally, presents a significant challenge. In response, this study proposed an environmentally friendly, carbon-neutral, and secure storage technique. The focus is on utilizing green hydrogen in the production of ammonia, serving as both a hydrogen carrier and energy storage medium on an industrial scale. The versatile application of green ammonia extended beyond storage, encompassing fertilizer production, refrigeration, and chemical manufacturing, all aligned with principles of sustainable development, green energy transition, and achieving net-zero carbon emissions. The comprehensive study involved the plant design, process flow diagrams, Aspen HYSYS simulation, plant layout, HAZOP study, and an in-depth economic analysis to evaluate feasibility and profitability. The Haber-Bosch simulated process encompassed the entire production line, starting from sustainably sourced hydrogen to the separation unit ensuring a green nitrogen source. Further optimization was achieved through a heat exchanger network utilizing Aspen Energy Analyzer. The study yielded a substantial ammonia production rate of 7058 kg/hr with an impressive conversion rate of nearly 85%, minimizing waste through the recycling of excess hydrogen within the process. The resultant liquid form of stored ammonia in the refrigeration loop facilitates convenient and safe storage of hydrogen.

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Section: Green Hydrogen Inputmentioning

confidence: 99%

Process Simulation and Design of Green Ammonia Production Plant for Carbon Neutrality

Shaker,

El-Bagoury,

Yaser

et al. 2024

International Journal of Industry and Sustainable Development

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“…Since GNOME can integrate any ocean-circulation and meteorologic model that supports forecasts in various file formats, as well as observational data, NOAA has created the GNOME Operational Oceanographic Data Server (https://gnome.orr.noaa.gov/goods, accessed on 10 April 2023), a publicly accessible system that provides access to all available driver models and data sources. Moreover, GNOME has been applied in many regions over the latest years, such as Indonesia [63], the Gulf of Suez in Egypt [64], offshore Odisha in India [65], and the Red Sea in Egypt [66].…”

Section: The Oil Spill Modelsmentioning

confidence: 99%

“…Further details on model description and verification can be found in the works of Ehard et al [89], Haiden et al [90], and Hersbach et al [91]. ERA5 has been used as wind boundary forcing in various oil-spill scenarios, as in Zhang et al [78], Abdallah and Chantsev [64,66], Davis Morales et al [46], and Liu et al [92]. In parallel, in the case of simulating retrospective oil spills, the ERA-Interim dataset could be used [93]; this is a global reanalysis data product covering the data-rich period since 1979.…”

Section: Wind Fieldsmentioning

confidence: 99%

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Keramea

Kokkos

Zodiatis

et al. 2023

JMSE

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Oil spills may have devastating effects on marine ecosystems, public health, the economy, and coastal communities. As a consequence, scientific literature contains various up-to-date, advanced oil spill predictive models, capable of simulating the trajectory and evolution of an oil slick generated by the accidental release from ships, hydrocarbon production, or other activities. To predict in near real time oil spill transport and fate with increased reliability, these models are usually coupled operationally to synoptic meteorological, hydrodynamic, and wave models. The present study reviews the available different met-ocean forcings that have been used in oil-spill modeling, simulating hypothetical or real oil spill scenarios, worldwide. Seven state-of-the-art oil-spill models are critically examined in terms of the met-ocean data used as forcing inputs in the simulation of twenty-three case studies. The results illustrate that most oil spill models are coupled to different resolution, forecasting meteorological and hydrodynamic models, posing, however, limited consideration in the forecasted wave field (expressed as the significant wave height, the wave period, and the Stokes drift) that may affect oil transport, especially at the coastal areas. Moreover, the majority of oil spill models lack any linkage to the background biogeochemical conditions; hence, limited consideration is given to processes such as oil biodegradation, photo-oxidation, and sedimentation. Future advancements in oil-spill modeling should be directed towards the full operational coupling with high-resolution atmospheric, hydrodynamic, wave, and biogeochemical models, improving our understanding of the relative impact of each physical and oil weathering process.

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“…Interestingly enough, despite the region's importance and the occurrence of several oil spills, as well as the probability of potential accidents, the number of studies that simulate such oil spills is limited (Nasr & Smith, 2006;Omar et al, 2019;Hussein, 2021;Abdallah & Chantsev, 2022). Moreover, there is no existing reference for predicting oil spill trajectory in the area under investigation (Hurghada), making this the first research of its sort.…”

Section: Introductionmentioning

confidence: 99%

Modeling marine oil spill trajectory and fate off Hurghada, Red Sea coast, Egypt

Abdallah¹,

Chantsev²

2022

Egypt. J. of Aquatic Biolo. and Fish.

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Abdallah and Chantsev, 2022 discharge of crude oil and petroleum products into the surrounding environment (Kakalis & Ventikos, 2008; Mohammadiun et al., 2021). Tanker crashes, ship collisions, ruptured or leaking pipelines, blasted wells, deep sea drilling explosions, and refining activities are the most prevalent causes of oil spills into seawater (Kachel, 2008; Singha, 2014; Fingas, 2016). In all cases, it severely harms the living marine communities, estuaries, coral reefs and mangroves (Escobar, 2019; Magris & Giarrizzo, 2020). While in some cases, significant damage may occur to coastal infrastructure (as tourist resorts, ports and marinas) and industries that rely on seawater input (as marine salt production, coastal power stations, and desalination plants) (Salomon & Markus, 2018). Due to the oil spills worldwide (Gurumoorthi et al., 2021), nearly two million tons of oil containing persistent and toxic chemicals enter the marine environment annually (Ivshina et al., 2015). When oil spills into seawater, it undergoes a range of chemical and physical transformations, collectively known as weathering (Daling & Strom, 1999; Fingas, 2005; Lončar, Beg Paklar & Janeković, 2012). The most prominent oil spill weathering processes are evaporation, natural dispersion, and emulsification (Pradhan, Das & Pradhan, 2021). In recent years, societal demands for a sustainable ecological status of the marine environment have forced governments to establish appropriate and effective oil spill contingency plans (Dietrich et al., 2012).According to Abdallah and Chantsev (2022), assessing the impact of oil spills on vulnerable areas is necessary to develop appropriate and effective oil spill contingency plans. These plans could be realized using predictive mathematical models to simulate the oil slicks' trajectory and behavior (Mishra & Kumar, 2015).Mathematical oil spill models are mainly based on the Lagrangian method, which tracks particles. When oil particles are released into the sea, they move along distinct paths influenced by the prevailing winds and currents (Keramea et al., 2022). Several attempts have been made to simulate the movement and fate of oil spills in real and hypothetical accidents.

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Simulating oil spill movement and behavior: a case study from the Gulf of Suez, Egypt

Cited by 10 publications

References 51 publications

Process Simulation and Design of Green Ammonia Production Plant for Carbon Neutrality

Process Simulation and Design of Green Ammonia Production Plant for Carbon Neutrality

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Modeling marine oil spill trajectory and fate off Hurghada, Red Sea coast, Egypt

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