Minimizing Carbon Capture Costs in Power Plants: A Dimensional Analysis Framework for Optimizing Hybrid Post-Combustion Systems

IF 3.5 3区 工程技术 Q3 ENERGY & FUELS
Donald Obi, Samuel Onyekuru, Anslem Orga
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Abstract

Mitigating greenhouse gas emissions from power plants is crucial for transitioning to a low-carbon economy, necessitating the development of efficient carbon capture, utilization, and storage (CCUS) technologies. CCUS technologies are vital for achieving significant emissions reductions, with post-combustion carbon capture (PCC) emerging as a promising solution. However, high costs and energy penalties hinder its widespread adoption. Recent advancements in hybrid PCC configurations offer improved efficiency and cost reduction, necessitating comprehensive evaluations. This study investigates six feasible hybrid PCC configurations, integrating absorption, absorption, and membrane technologies, to identify the most viable option for CO2 capture from natural gas power plants (NGPPs). A rigorous techno-economic evaluation is performed using Aspen Hysys design simulation and economic metrics, including investment costs, production costs, net present value, rate of return, levelized cost of electricity, carbon emission intensity, and cost of carbon avoidance. Dimensional analysis reveals the two-stage membrane + absorbent hybrid (2S-MB + AB) configuration as the most promising option. It demonstrates significant cost savings potential, with a 25% reduction in carbon capture costs. Sensitivity analyses highlight the critical role of optimal material selection, specifically membranes, and absorbents, in commercializing this technology. The findings contribute to developing efficient and cost-effective CCUS solutions, aligning with global efforts to mitigate climate change. The recommended 2S-MB + AB configuration offers a promising solution for reducing CO2 emissions from NGPPs, providing valuable insights for policymakers, industry stakeholders, and researchers. This research informs emissions regulations and incentives for CCUS adoption, guides investment decisions and technology development, and identifies further research and development areas.

Abstract Image

最小化发电厂的碳捕获成本:优化混合燃烧后系统的维度分析框架
减少发电厂的温室气体排放对于向低碳经济转型至关重要,这就需要开发高效的碳捕获、利用和封存(CCUS)技术。CCUS技术对于实现显著减排至关重要,燃烧后碳捕获(PCC)正成为一种有前途的解决方案。然而,高昂的成本和能源罚款阻碍了它的广泛采用。混合PCC配置的最新进展提高了效率,降低了成本,因此需要进行全面的评估。本研究考察了六种可行的混合PCC配置,整合了吸收、吸收和膜技术,以确定天然气发电厂(NGPPs)二氧化碳捕集的最可行选择。使用Aspen Hysys设计模拟和经济指标进行严格的技术经济评估,包括投资成本、生产成本、净现值、回报率、电力平准化成本、碳排放强度和碳避免成本。量纲分析显示,两级膜+吸收混合(2S-MB + AB)配置是最有前途的选择。它显示出巨大的成本节约潜力,碳捕获成本降低了25%。敏感性分析强调了最佳材料选择的关键作用,特别是膜和吸收剂,在该技术的商业化中。这些发现有助于开发高效且具有成本效益的CCUS解决方案,与全球减缓气候变化的努力保持一致。推荐的2S-MB + AB配置为减少天然气发电厂的二氧化碳排放提供了一个有前途的解决方案,为政策制定者、行业利益相关者和研究人员提供了有价值的见解。这项研究为采用CCUS的排放法规和激励措施提供信息,指导投资决策和技术开发,并确定进一步的研究和开发领域。
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来源期刊
Energy Science & Engineering
Energy Science & Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
6.80
自引率
7.90%
发文量
298
审稿时长
11 weeks
期刊介绍: Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.
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