2022
DOI: 10.1016/j.apenergy.2022.119393
|View full text |Cite
|
Sign up to set email alerts
|

Economic analysis of CCUS: Accelerated development for CO2 EOR and storage in residual oil zones under the context of 45Q tax credit

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 34 publications
(9 citation statements)
references
References 32 publications
0
8
0
1
Order By: Relevance
“…The credit amount varies based on factors such as the in-service year of the equipment and whether the carbon oxide is geologically stored or used in enhanced oil recovery (EOR) projects. Here is a timeline of the information regarding the 45Q tax credit and how the range of the credit is determined [10,38,39].…”
Section: The 45q Tax Creditmentioning
confidence: 99%
“…The credit amount varies based on factors such as the in-service year of the equipment and whether the carbon oxide is geologically stored or used in enhanced oil recovery (EOR) projects. Here is a timeline of the information regarding the 45Q tax credit and how the range of the credit is determined [10,38,39].…”
Section: The 45q Tax Creditmentioning
confidence: 99%
“…Meanwhile, the developments of the carbon market and carbon capture techniques may reduce the cost of CO 2 sources. The policy incentives are also essential to encourage the operators to promote the usage of CO 2 , for instance, the tax preference applied in the United States (Ren et al, 2022). The increasing proportion and decreasing cost may significantly promote the potential and contribution of CO 2 fracturing to CCUS, considering the huge consumption of fracturing fluids.…”
Section: Potential Of Co 2 Fracturing For Ccusmentioning
confidence: 99%
“…This study emphasizes the urgent need to delve deeper into the barriers hindering CCUS deployment and how macroeconomic factors, energy consumption, and energy prices influence the feasibility of CCUS projects and their impact on carbon emissions in the United Statesa nation recognized for its leadership in certain CCUS technology and implementation domains. Moreover, despite existing research focusing on the techno-economic analysis of CCUS projects [10][11][12] and general equilibrium models [13], empirical econometric research on CCUS capacity remains notably lacking [14]. Therefore, this study employs various econometric modeling techniques, including Ordinary Least Squares (OLS), Lasso, Ridge, Elastic Net, Generalized Method of Moments, and Seemingly Unrelated Regression (SUR), to uncover crucial insights into the link between CCUS capacity and carbon emissions and their associated factors, aiming to strengthen the robustness of the results and contribute significantly to the existing body of knowledge.…”
Section: Introductionmentioning
confidence: 99%