Multi-criteria decision analysis for evaluating carbon capture technologies in power plants

Abstract

Power plants are among the largest contributors to CO 2 emissions, making carbon capture and conversion into valuable products a key strategy to combat climate change and foster a circular economy . However, selecting the optimal CO 2 capture technology is complex due to the wide range of options — such as pre-combustion, post-combustion, and oxy-fuel combustion — and the various technical, economic, environmental, and social factors involved. This study identifies the most promising CO 2 capture technologies for three power plant types: Natural Gas Combined Cycle (NGCC), lignite , and coal. By applying Multi-Criteria Decision Analysis (MCDA), which integrates a systematic literature review with the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the study ranks existing technologies. For NGCC plants , post-combustion calcium looping emerged as the top choice, with a relative closeness score of 0.790, due to its moderate CO 2 avoidance cost (€33.80/tCO 2 ), high efficiency (48.31%), and mature Technology Readiness Level (TRL) of 7. In lignite plants, post-combustion chemical absorption with MDEA ranked highest, achieving a relative closeness of 0.865 and a TRL of 9. For coal plants, pre-combustion using the Selexol process combined with Mn-based chemical looping was most promising, with a relative closeness of 0.829, low CO 2 avoidance cost (€19.94/tCO 2 ), and a net efficiency of 37.13%. These findings underscore the importance of balancing economic performance and technological maturity when selecting CO 2 capture technologies.

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