What should we do with CO2 from biogas upgrading?

被引:5
|
作者
Cordova, Stephanie S. [1 ]
Gustafsson, Marcus [1 ]
Eklund, Mats [1 ]
Svensson, Niclas [1 ]
机构
[1] Linkoping Univ, Dept Management & Engn, Environm Technol & Management, SE-58183 Linkoping, Sweden
关键词
Biomethane; Carbon Capture and Utilization; Criteria definition; Multi-criteria analysis; MULTICRITERIA DECISION-ANALYSIS; CARBON-DIOXIDE UTILIZATION; TECHNOECONOMIC ASSESSMENT; UTILIZATION TECHNOLOGIES; ENVIRONMENTAL ASSESSMENT; ECONOMIC-PERFORMANCE; RENEWABLE ENERGY; CAPTURED CO2; METHANOL; CONVERSION;
D O I
10.1016/j.jcou.2023.102607
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Carbon capture and utilization has been proposed as an essential climate change mitigation strategy, but only a few implemented cases exist. During biomethane production from anaerobic digestion, CO2 is commonly separated and emitted into the atmosphere, which can be utilized as raw material for various products. This research aims to identify and assess CO2 utilization alternatives for possible integration with biogas upgrading from anaerobic digestion by developing a soft multi-criteria analysis (MCA). A literature review complemented with stakeholder participation enabled the identification of relevant alternatives and criteria for assessment. Potential alternatives for CO2 utilization include methane, mineral carbonates, biomass production, fuels, chemicals, pH control, and liquefied CO2. Results show that although no alternative performs well in all indicators, there is an opportunity for short-term implementation for methane, biomass production, mineral carbonates, liquefied CO2, and pH control. Moreover, the uncertainty analysis reveals that even though the technologies have a high technological development, more information on critical aspects is still required. The soft MCA provides information to decision-makers, practitioners, and the academic community on learning opportunities of the alternatives and indicators to step from development into implementation. For instance, the method can be used to assess more specific systems with different locations and scales or to direct efforts to ease the implementation of CCU.
引用
收藏
页数:12
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