Analysis of CO2 pipeline regulations from a safety perspective for offshore carbon capture, utilization, and storage (CCUS)

El-Kady, Ahmed Hamdy; Amin, Md Tanjin; Khan, Faisal; El-Halwagi, Mahmoud M.

doi:10.1016/j.jclepro.2024.140734

Cited by 10 publications

(2 citation statements)

References 106 publications

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“…For the purpose of increasing biomass production, improving carbon sequestration, and promoting biodiversity conservation, the implementation of agroforestry, reforestation, and afforestation initiatives might be beneficial. The production of biomass in conjunction with environmentally responsible land management methods is an approach that plays a significant part in bolstering the resilience of ecosystems and aiding attempts to adapt to climate change [319], [320].…”

Section: ) Biomass Energy Forecastingmentioning

confidence: 99%

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Nguyen,

Paramasivam,

Dong

et al. 2024

JOIV : Int. J. Inform. Visualization

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Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy sources, including biomass, biofuels, engines, and solar power, can revolutionize the energy industry. Biomass and biofuels have benefited significantly from implementing AI and ML algorithms that optimize feedstock, enhance resource management, and facilitate biofuel production. By applying insight derived from data analysis, stakeholders can improve the entire biofuel supply chain - including biomass conversion, fuel synthesis, agricultural growth, and harvesting - to mitigate environmental impacts and accelerate the transition to a low-carbon economy. Furthermore, implementing AI and ML in combustion systems and engines has yielded substantial improvements in fuel efficiency, emissions reduction, and overall performance. Enhancing engine design and control techniques with ML algorithms produces cleaner, more efficient engines with minimal environmental impact. This contributes to the sustainability of power generation and transportation. ML algorithms are employed in solar energy to analyze vast quantities of solar data to improve photovoltaic systems' design, operation, and maintenance. The ultimate goal is to increase energy output and system efficiency. Collaboration among academia, industry, and policymakers is imperative to expedite the transition to a sustainable energy future and harness the potential of AI and ML in renewable energy. By implementing these technologies, it is possible to establish a more sustainable energy ecosystem, which would benefit future generations.

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Section: ) Biomass Energy Forecastingmentioning

confidence: 99%

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Nguyen,

Paramasivam,

Dong

et al. 2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…With the continuous progress of social science and technology, the demand for energy from humans continues to grow, especially with the increasing consumption of fossil fuels, leading to large amounts of CO 2 emissions into the atmosphere [1]. This has caused serious consequences such as global warming, severely impacting the Earth's ecological environment.…”

Section: Introductionmentioning

confidence: 99%

Revealing the Mechanism of O2 and Pressure Effects on the Corrosion of X80 Carbon Steel Under Supercritical CO2 Conditions

Liu,

Wang,

Xue

et al. 2024

JENR

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Pipeline transportation is widely used due to its ability to improve the efficiency of CO2 transportation in Carbon Capture, Utilization, and Storage (CCUS). Within the transport pipelines, CO2 fluid exists in a supercritical state and often contains various impurity gases such as O2 and H2O, which can easily cause steel corrosion, affecting the safety of pipeline operations. In this investigation, we examine the corrosion behavior of X80 carbon steel within a water-saturated supercritical CO2 environment utilizing weight loss experiments, electrochemical tests, and surface analysis techniques. Furthermore, we explore the impact of pressure and oxygen on the corrosion process of X80 steel. The results indicated that X80 steel underwent severe corrosion under the experimental conditions, with FeCO3 as the primary corrosion product. Both the introduction of oxygen and an increase in pressure accelerated the steel's corrosion, and the addition of oxygen led to the formation of a new corrosion product, Fe2O3. Electrochemical test results showed that changes in pressure did not significantly alter the electrochemical corrosion characteristics of the steel, but the introduction of oxygen decreased the electrochemical reaction resistance of X80 steel. Combined with surface analysis, the following conclusions were drawn: In a 50°C supercritical CO2 environment, the anode reaction of X80 steel corrosion is the active dissolution of iron, while the cathode reaction involves the dissolution and ionization of CO2. Changes in pressure do not alter the corrosion mechanism, but the introduction of oxygen leads to oxygen corrosion reactions in the system, accelerating the anode reaction rate and thus increasing the degree of corrosion.

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Can subsea shuttles be a cost-competitive solution for CO2 transport?

Roussanaly,

Holm,

Subramanian

2024

Carbon Capture Science & Technology

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Analysis of CO2 pipeline regulations from a safety perspective for offshore carbon capture, utilization, and storage (CCUS)

Cited by 10 publications

References 106 publications

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Revealing the Mechanism of O<sub>2</sub> and Pressure Effects on the Corrosion of X80 Carbon Steel Under Supercritical CO<sub>2</sub> Conditions

Can subsea shuttles be a cost-competitive solution for CO2 transport?

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Analysis of CO2 pipeline regulations from a safety perspective for offshore carbon capture, utilization, and storage (CCUS)

Cited by 10 publications

References 106 publications

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Revealing the Mechanism of O&lt;sub&gt;2&lt;/sub&gt; and Pressure Effects on the Corrosion of X80 Carbon Steel Under Supercritical CO&lt;sub&gt;2&lt;/sub&gt; Conditions

Can subsea shuttles be a cost-competitive solution for CO2 transport?

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Product

Resources

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Revealing the Mechanism of O<sub>2</sub> and Pressure Effects on the Corrosion of X80 Carbon Steel Under Supercritical CO<sub>2</sub> Conditions