Techno-economic assessment of waste heat-powered direct air capture in the refinery and petrochemical sectors in Saudi Arabia

Naser Odeh , Raphael W. Apeaning , Feras Rowaihy
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Abstract

Direct Air Capture (DAC) is increasingly recognized as a critical technology for achieving net-zero emissions, yet its large-scale deployment remains constrained by high energy and operational costs—particularly the need for reliable low-cost source of heat. This study presents a comprehensive technical and economic assessment of integrating DAC with low-grade industrial waste heat across Saudi Arabia’s refinery and petrochemical sectors. Using facility-level data, we estimate that approximately 84 TWh/year of waste heat is available—sufficient to support the capture of up to 42 MtCO₂ annually, offsetting around 34 % of current stationary emissions from these sectors. Our analysis shows that repurposing this underutilized thermal energy could reduce the average levelized cost of DAC (LCOD) for future commercial-scale systems to $148.5 per ton, significantly below current global DAC cost benchmarks. A marginal abatement cost curve reveals that the most cost-effective opportunities are concentrated in large, high-throughput industrial sites, emphasizing the importance of scale, centralized integration, and waste heat clustering. Further, our sensitivity analysis highlights the scale-up exponent, electricity price, and capital cost assumptions as the most influential factors driving cost outcomes. Overall, this study offers a scalable and actionable blueprint for DAC deployment in high-emitting industrial sectors and aligns closely with Saudi Arabia’s Circular Carbon Economy framework and 2060 net-zero target.
沙特阿拉伯炼油和石化部门废热动力直接空气捕获的技术经济评估
直接空气捕获技术(DAC)越来越被认为是实现净零排放的关键技术,但其大规模部署仍然受到高能耗和运营成本的限制,特别是对可靠的低成本热源的需求。本研究提出了综合DAC与低品位工业废热在沙特阿拉伯的炼油和石化部门的技术和经济评估。利用设施级数据,我们估计每年约有84太瓦时的废热可用,足以支持每年捕集高达4200万吨二氧化碳,抵消这些部门目前固定排放的34%左右。我们的分析表明,重新利用这些未充分利用的热能可以将未来商业规模系统的DAC平均平准化成本(LCOD)降低到每吨148.5美元,大大低于目前全球DAC成本基准。边际减排成本曲线显示,最具成本效益的机会集中在大型、高吞吐量的工业基地,强调了规模、集中整合和废热集群的重要性。此外,我们的敏感性分析强调了规模指数、电价和资本成本假设是驱动成本结果的最具影响力的因素。总体而言,本研究为高排放工业部门的DAC部署提供了可扩展和可操作的蓝图,并与沙特阿拉伯的循环碳经济框架和2060年净零目标密切一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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