气候变化领域集成服务门户(CCPortal): Environmental process optimisation of an adsorption-based direct air carbon capture and storage system

CCPortal

DOI	10.1039/d3ee02970k
	Environmental process optimisation of an adsorption-based direct air carbon capture and storage system
	Postweiler, Patrik; Engelpracht, Mirko; Rezo, Daniel; Gibelhaus, Andrej; von der Assen, Niklas
发表日期	2024
ISSN	1754-5692
EISSN	1754-5706
起始页码	17
结束页码	9
卷号	17 期号:9
英文摘要	Adsorption-based direct air carbon capture and storage (DACCS) removes CO2 from the atmosphere, thus helping to limit anthropogenic climate change below 2 degrees C when employed on a large scale. However, DACCS is energy- and cost-intense. To reduce DACCS's energy demand and costs, a major focus in research is process optimisation. The optimisation task requires sound key performance indicators (KPIs) as objectives that should reflect the purpose of DACCS, i.e., to provide net negative CO2 emissions via carbon dioxide removal. Currently used KPIs for process optimisation are the specific energy demand, the specific exergy demand, or the equivalent shaft work. However, these energy-related KPIs neglect life-cycle greenhouse gas (GHG) emissions from DACCS, caused for example, by energy consumption or plant construction. Neglecting these GHG emissions can lead to suboptimal processes in the sense of not realising the full carbon removal potential of DACCS. Therefore, we extended a detailed dynamic DACCS model to cover all life-cycle GHG emissions, enabling us to employ the climate-benefit metrics carbon removal efficiency (CRE) and carbon removal rate (CRR) as KPIs for in-depth process analyses and process optimisation. We assessed how using different KPIs for process optimisation affects the carbon removal potential of DACCS. For this purpose, we used the extended DACCS model and optimised the process for different KPIs and plant productivity, which resulted in Pareto frontiers. We found that using CRE as KPI instead of specific energy demand increased CRE by up to 4% at the same plant productivity. More importantly, at the same CRE, the plant productivity can be significantly increased when using CRE as a KPI. In addition, we demonstrated that expanding a detailed DACCS process model with life-cycle GHG emissions and the associated provision of the climate-benefit metrics CRE and CRR as KPIs provides new insights that improve our knowledge about optimal DACCS process designs. Overall, we showed that choosing a climate-benefit metric as KPI for process optimisation is imperative for realising the full carbon removal potential of DACCS. Since the goal of DACCS is CO2 removal, DACCS processes should be optimised using meaningful climate-benefit metrics such as carbon removal efficiency. We optimise a dynamic DACCS process model to fully exploit its carbon removal potential.
语种	英语
WOS研究方向	Chemistry ; Energy & Fuels ; Engineering ; Environmental Sciences & Ecology
WOS类目	Chemistry, Multidisciplinary ; Energy & Fuels ; Engineering, Chemical ; Environmental Sciences
WOS记录号	WOS:001184215700001
来源期刊	ENERGY & ENVIRONMENTAL SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305384
作者单位	RWTH Aachen University
推荐引用方式 GB/T 7714	Postweiler, Patrik,Engelpracht, Mirko,Rezo, Daniel,et al. Environmental process optimisation of an adsorption-based direct air carbon capture and storage system[J],2024,17(9).
APA	Postweiler, Patrik,Engelpracht, Mirko,Rezo, Daniel,Gibelhaus, Andrej,&von der Assen, Niklas.(2024).Environmental process optimisation of an adsorption-based direct air carbon capture and storage system.ENERGY & ENVIRONMENTAL SCIENCE,17(9).
MLA	Postweiler, Patrik,et al."Environmental process optimisation of an adsorption-based direct air carbon capture and storage system".ENERGY & ENVIRONMENTAL SCIENCE 17.9(2024).