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Evaluation of viscosity and thermal conductivity models for CO2 mixtures applied in CO2 cryogenic process in carbon capture and storage (CCS)
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Energy Processes.
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

The cryogenic process is used for CO2 purification in oxy-fuel combustion power plant, and multi-stream heat exchanger is one of the most important components. Viscosity and thermal conductivity are key transport properties in the design of plate-fin multi-stream heat exchanger. It is necessary to evaluate the impacts of viscosity and thermal conductivity models on the design of the heat exchanger. In this paper, different viscosity models and thermal conductivity models for CO2 mixtures with non-condensable impurities were first evaluated separately by comparing the calculated results with experimental data. Results show that for viscosity, the absolute average deviation (AAD) of KRW model is the smallest, which is 1.3%. For thermal conductivity, GERG model, with AAD of 3.5%, is recommended. The impact of property models on the design of plate-fin multi-stream heat exchanger was also analyzed. The thermal conductivity model has a noticeable impact on the plate-fin multi-stream heat exchanger design, and the deviation in design size of heat exchanger by using different thermal conductivity models may reach up to 7.5%. The future work on how to improve the property models was discussed.

Keywords [en]
Thermal conductivity, Viscosity, Model evaluation, CO2 mixture, CO2 cryogenic
National Category
Energy Engineering
Research subject
Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-199652OAI: oai:DiVA.org:kth-199652DiVA, id: diva2:1064647
Note

QC 20170116

Available from: 2017-01-12 Created: 2017-01-12 Last updated: 2017-01-16Bibliographically approved
In thesis
1. Property Impacts on Heat Exchanger Design in CO2 Cryogenic Process of Carbon Capture and Storage
Open this publication in new window or tab >>Property Impacts on Heat Exchanger Design in CO2 Cryogenic Process of Carbon Capture and Storage
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Carbon capture and storage (CCS) is one of the most promising technologies which can significantly reduce CO2 emissions. A better understanding of thermo-physical properties of CO2 mixtures is required for the design and operation of different CCS processes. Before the gaps being filled, the most important properties need to be identified, and the performances of current property models should be evaluated.

In this thesis, the status and progress of property impacts on CCS processes were reviewed by literature survey. The studied CCS processes include CO2 conditioning, transport and storage. The results show that heat capacity and density are most important in pumping process, while heat capacity and compressibility have greater impacts on compression process. In addition, density and heat capacity are treated most important in CO2 pipeline transport. For CO2 storage, density and viscosity should be prioritized.

According to the knowledge gaps, the property impacts on the design of multi-stream heat exchanger in CO2 cryogenic capture process were investigated. The design model of the heat exchanger was proposed and developed by an in-house code in MATLAB. The property impacts on heat exchanger size and annual capital cost were identified by sensitivity study. The results show that thermal conductivity has the most significant impact. In addition, the heat exchanger design is less sensitive to viscosity than heat capacity, however, the higher deviation range of viscosity models may lead to a higher impact.

Regarding to property model evaluation, the performances of viscosity models and thermal conductivity models of CO2 mixtures with non-condensable impurities were evaluated. Recommendations for property model selection were given as well. The results show that KRW model is recommended for predicting viscosity. For estimating thermal conductivity, GERG model is most accurate.

Abstract [sv]

Avskiljning och lagring av koldioxid (CCS) är en av de mest lovande teknikerna för att uppnå kraftiga minskningar av CO2 utsläpp. En ökad förståelse av de termo-fysiska egenskaperna hos olika CO2 sammansättningar är nödvändig för design och drift av olika CCS processer. För att fylla kunskapsluckorna måste de viktigaste tillståndsstorheterna identifieras och prestandan hos de nuvarande tillståndsmodellerna måste utvärderas.

Nuvarande status och framsteg inom tillståndstorheterna påverkan på CCS processer har granskats i denna avhandling genom en litteraturstudie. CCS processerna som har studerats inkluderar rening, lagring och transport av CO2. Resultaten visar att värmelagringsförmåga och densitet är viktigast i pumpningsprocessen, medan värmelagringsförmåga och komprimerbarhet har större inverkan på kompressionsprocessen. Dessutom, befanns densitet och värmelagringsförmåga vara de viktigaste tillståndsstorheterna för transport av CO2 i gasledning. För lagring av CO2 bör densitet och viskositet prioriteras.

Tillståndsstorheternas inverkan på designen av en flerströmsvärmeväxlare i kryogenisk avskiljning av CO2 undersöktes i enlighet med de identifierade kunskapsluckorna. En designmodell för värmeväxlaren föreslogs och utvecklades genom en egenutvecklad MATLAB kod. Tillståndsstorheternas påverkan på värmeväxlarens storlek och årliga kapitalkostnad identifierades genom en känslighetsanalys. Resultaten visar att värmeledningsförmåga hade störst påverkan. Dessutom var designen av värmeväxlaren mindre känslig för viskositet än för värmelagringsförmåga, även om de högre avvikelserna i viskositetsmodellen kan leda till en större påverkan.

Prestandan hos viskositetsmodeller och värmeledningsmodeller utvärderades även med avseende på tillståndens påverkan på olika CO2 sammansättningar med icke-kondenserbara orenheter. Rekommendationer för val av modell för tillståndens påverkan har även föreslagits. Resultaten visar att KRW-modellen är mest lämplig för att förutse viskositet och att GERG-modelen är mest lämplig för att uppskatta värmeledningsförmåga.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. p. 87
Series
TRITA-CHE-Report, ISSN 1654-1081 ; 5
Keywords
Literature review, CO2 conditioning, CO2 transport, CO2 storage, CO2 mixtures, CO2 cryogenic, heat exchanger, sizing design, property impact, viscosity, thermal conductivity, property model
National Category
Chemical Engineering
Research subject
Energy Technology
Identifiers
urn:nbn:se:kth:diva-199656 (URN)978-91-7729-236-4 (ISBN)
Presentation
2017-02-07, V3, Teknikringen 72, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170113

Available from: 2017-01-13 Created: 2017-01-12 Last updated: 2017-01-20Bibliographically approved

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