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CPFD Model for Prediction of Flow Behavior in an Agglomerated Fluidized Bed Gasifier

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Заглавие CPFD Model for Prediction of Flow Behavior in an Agglomerated Fluidized Bed Gasifier
 
Автор Furuvik, N. C. I. S.
Rajan, Ja.
Thapa, R. K.
Moldestad, B. M. E.
 
Тематика AGGLOMERATION
BARRACUDA VR
BUBBLING FLUIDIZED BED
CPFD SIMULATION
FLOW BEHAVIOR
 
Описание Renewable energy sources have significant potential for limiting climate change and reducing greenhouse gas emissions due to the increased global energy demand. Fluidized bed gasification of biomass is a substantial contribution to meeting the global energy demand in a sustainable way. However, ashrelated problems are the biggest challenge in fluidized bed gasification of biomass. Bed agglomeration is a result of interaction between the bed material and alkali metals present in the biomass ash. The agglomerates interfere with the fluidization process and might result in total de-fluidization of the bed. The study focuses on ash challenges related to the fluidization behavior in gasification of biomass. A model is developed and verified against results from previous performed experiments in a cold flow model of a bubbling fluidized bed. The commercial computational particle fluid dynamics (CPFD) software Barracuda Virtual Reactor is used for the computational study. The simulations show that the CPFD model can predict the fluidization process of an agglomerated fluidized bed gasifier.
This study is funded by The Research Council of Norway, Program for Energy Research (ENERGIX), Project 280892 FLASH – Predicting the FLow behavior of ASH mixtures for production of transport biofuels in the circular economy.
 
Дата 2019-12-30T09:52:55Z
2019-12-30T09:52:55Z
2019
 
Тип Article
Journal article (info:eu-repo/semantics/article)
Published version (info:eu-repo/semantics/publishedVersion)
 
Идентификатор CPFD Model for Prediction of Flow Behavior in an Agglomerated Fluidized Bed Gasifier / N. C. I. S. Furuvik, R. Jaiswal; R. K. Thapa, B. M. E. Moldestad // International Journal of Energy Production and Management. — 2019. — Vol. 4. Iss. 2. — P. 105-114.
2056-3272 (paper format)
2056-3280 (online)
http://elar.urfu.ru/handle/10995/79343
https://elibrary.ru/item.asp?id=41598816
10.2495/EQ-V4-N2-105-114
 
Язык en
 
Связанные ресурсы International Journal of Energy Production and Management. 2019. Vol. 4. Iss. 2
 
Издатель WIT Press
Ural Federal University
Уральский федеральный университет