Your browser doesn't support javascript.
loading
In Situ Raman Methodology for Online Analysis of CO2 and H2O Loadings in a Water-Lean Solvent for CO2 Capture.
Lines, Amanda M; Barpaga, Dushyant; Zheng, Richard F; Collett, James R; Heldebrant, David J; Bryan, Samuel A.
Afiliação
  • Lines AM; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
  • Barpaga D; Washington State University, Pullman, Washington 99164, United States.
  • Zheng RF; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
  • Collett JR; STARS Technology Corporation, Richland, Washington 99354, United States.
  • Heldebrant DJ; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
  • Bryan SA; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Anal Chem ; 95(42): 15566-15576, 2023 Oct 24.
Article em En | MEDLINE | ID: mdl-37787757
Carbon capture represents a key pathway to meeting climate change mitigation goals. Powerful next-generation solvent-based capture processes are under development by many researchers, but optimization and testing would be significantly aided by integrating in situ monitoring capability. Further, real-time water analysis in water-lean solvents offers the potential to maintain their water balance in operation. To explore data acquisition techniques in depth for this purpose, Raman spectra of CO2, H2O, and a single-component water-lean solvent, N-(2-ethoxyethyl)-3-morpholinopropan-1-amine (2-EEMPA) were collected at different CO2 and H2O concentrations using an in situ Raman cell. The quantification of CO2 and H2O loadings in 2-EEMPA was done by principal component regression and partial least squares methods with analysis of uncertainties. We conclude with discussions on how this simultaneous online analysis method to quantify CO2 and H2O loadings can be an important tool to enable the optimal efficiency of water-lean CO2 solvents while also maintaining the critical water balance under operating conditions relevant to post-combustion CO2 capture.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Anal Chem Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Anal Chem Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos