Abstract

In line with the global pursuit of achieving net-zero carbon emissions, integrating carbon capture and storage (CCS) and renewable energy (RE) technologies is important in power production. This study evaluates the profitability of CCS and RE technologies as alternative ways of achieving climate change goals. While past research focused on costs, technological advancements, and capture methods, there is a need for more studies on assessing the financial feasibility of these climate change solutions under uncertain conditions, alongside specific performance goals and strategies to entice power producers. Using a comprehensive framework featuring deterministic and stochastic modeling approaches, this research explores the impact of policy and market incentives on CCS and RE investments within the U.S. power sector. It analyzes the interactions of variables such as market uncertainties, technical factors, and policy dynamics on the financial viability of adopting CCS and RE for targeted CO2 reductions. The results reveal that, given the status quo of policies, RE and CCS exhibit annualized net present values of $4.62 and $1.76, respectively, for each metric ton (MT) of CO2. Uncertainties in policy incentives emerge as a primary hindrance to achieving cost-effective carbon reduction mandates using CCS, while changes in the green electricity price premium cause high variability in RE returns. The study proposes a hypothetical market, featuring the sale of CCS-linked net-zero electricity at a distinctive premium price of $0.03/kWh. The study's findings underscore the importance of both policy and market incentives to enable power producers to deploy carbon management technologies at a large scale.

Department(s)

Mining Engineering

Second Department

Economics

Keywords and Phrases

Carbon capture; Decision-making; Environmental protection policies; Green energy technologies; Net present value

International Standard Serial Number (ISSN)

0959-6526

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Elsevier, All rights reserved.

Publication Date

01 Dec 2023

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