Carbon Capture in Developing Economies: The Role of AI in Addressing Infrastructure and Cost Challenges
Abstract
Adopting carbon capture, utilization, and storage (CCUS) technologies in developing economies faces challenges limiting their contribution to global climate goals. These nations often face significant obstacles such as inadequate infrastructure, high costs, limited technical expertise, and weak policy frameworks. Compounding these issues are competing priorities, where immediate economic development, poverty alleviation, and energy access are prioritized over climate-focused initiatives. This article examines these barriers and explores how artificial intelligence (AI) can serve as a transformative tool to address them effectively. AI technologies offer innovative solutions to optimize CCUS adoption in resource-constrained environments. From infrastructure mapping and cost reduction to skills development and scalable deployment, AI-driven models provide actionable pathways for overcoming critical barriers. AI facilitates efficient decision-making by leveraging data analytics, predictive modeling, and process optimization, thereby enabling CCUS technologies to become more accessible and sustainable. To contextualize these opportunities, Nigeria is presented as a case study. The country’s significant emissions profile, policy environment, and industrial activities are analyzed in light of the challenges and opportunities associated with CCUS implementation. These examples show how AI can enable developing economies to transition toward sustainable development while aligning with global climate targets. This article emphasizes the critical need for strategic collaborations, policy reforms, and capacity-building efforts to maximize the potential of AI-enhanced CCUS in developing economies. By addressing infrastructure gaps, reducing costs, and supporting skills development, AI technologies offer a promising pathway for these nations to position themselves as leaders in innovative climate solutions.
Keywords
Carbon Capture, Utilization, and Storage (CCUS), Artificial Intelligence (AI), Developing Economies, Sustainable Development, Nigeria, Emissions Reduction, Infrastructure Optimization, Cost Efficiency.
Citations
IRE Journals:
Angela Ndalaku Ibemenem
"Carbon Capture in Developing Economies: The Role of AI in Addressing Infrastructure and Cost Challenges" Iconic Research And Engineering Journals Volume 8 Issue 7 2025 Page 396-409
IEEE:
Angela Ndalaku Ibemenem
"Carbon Capture in Developing Economies: The Role of AI in Addressing Infrastructure and Cost Challenges" Iconic Research And Engineering Journals, 8(7)
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