Minimizing Carbon Capture Costs in Power Plants: A Novel Dimensional Analysis Framework for Techno-Economic Evaluation of Oxyfuel Combustion, Pre-combustion, and Post-combustion Capture Systems

IF 3.5 3区 工程技术 Q3 ENERGY & FUELS
Donald Obi, Samuel Onyekuru, Anslem Orga
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引用次数: 0

Abstract

The imperative to mitigate anthropogenic CO2 emissions from power generation plants, which account for approximately 40% of global emissions, necessitates developing and deploying carbon capture, utilization, and storage (CCUS) technologies. This study undertakes a comprehensive techno-economic evaluation of three primary CO2 capture technologies—pre-combustion, post-combustion, and oxy-fuel combustion—integrated with natural gas power plants. Utilizing Aspen HYSYS design simulation and economic assessments, the technical and economic viability of each technology were investigated, considering key metrics such as levelized cost of energy (LCOE), carbon emission intensity (CEI), cost of carbon avoidance (COA), investment costs, production costs, net present value, and rate of return. A multi-criteria evaluation framework incorporating dimensional analysis was employed to compare the technologies, and the results revealed post-combustion capture as the most viable option with a cost factor (CF) value of 0.85, striking an optimal balance between efficiency, costs, and environmental impact. With minimized TIC and TPC, well below the conventional processes, this study produced a unique framework for reducing costs in CCS technology deployment. Conversely, oxy-fuel combustion has huge drawbacks regarding low profitability as it was found to have the highest total investment cost (TIC) of $8,258,483.99 and annual production cost (APC) of $9,234,870. In contrast, a higher CEI of 0.05 tCO2/MWh and COA of $150.33/tCO2 make pre-combustion less environmentally friendly than the three technologies. The findings of this study provide critical insights to inform decision-making in CCUS development, supporting a low-carbon energy transition. Future research directions should focus on evaluating feasible configurations and optimizing post-combustion capture technology for commercial-scale deployment.

Abstract Image

最小化发电厂的碳捕获成本:氧燃料燃烧、燃烧前和燃烧后捕获系统技术经济评估的新维度分析框架
减少发电厂的人为二氧化碳排放(约占全球排放量的40%)势在必行,必须开发和部署碳捕获、利用和封存(CCUS)技术。本研究对三种主要的二氧化碳捕集技术——燃烧前技术、燃烧后技术和全氧燃料燃烧技术进行了综合技术经济评价,并与天然气发电厂相结合。利用Aspen HYSYS设计仿真和经济评估,考虑了平准化能源成本(LCOE)、碳排放强度(CEI)、碳避免成本(COA)、投资成本、生产成本、净现值和回报率等关键指标,研究了每种技术的技术和经济可行性。采用包含量纲分析的多标准评估框架对两种技术进行了比较,结果显示,燃烧后捕集是最可行的选择,其成本因子(CF)值为0.85,在效率、成本和环境影响之间取得了最佳平衡。通过最小化TIC和TPC,该研究为降低CCS技术部署的成本提供了一个独特的框架。相反,全氧燃料燃烧在盈利能力低方面存在巨大的缺点,因为它的总投资成本(TIC)最高,为8,258,483.99美元,年生产成本(APC)为9,234,870美元。相比之下,预燃烧技术的CEI为0.05 tCO2/MWh, COA为150.33美元/tCO2,这使得预燃烧技术的环境友好性低于这三种技术。本研究的发现为CCUS发展决策提供了重要见解,支持低碳能源转型。未来的研究方向应该集中在评估可行的配置和优化燃烧后捕获技术,以实现商业规模的部署。
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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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