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Modeling of Bio-oil Vapors Recovery
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Helsinki University of Technology |
Master's thesis
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Kem-107
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en
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103
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Abstract
Limited amount of fossil fuels and increasing greenhouse gas emissions have raised inquiries about the conventional energy production methods.
As a-state-of-art, fast pyrolyzing of solid biomass is considered to be a relatively rife approach in use.
Biomass decomposes into solid char, noncondensable gases, oil vapors, and aerosols when it is pyrolyzed.
Once the oil vapors and aerosols are separated from the mixture and cooied down to lower temperatures, they condense into pyrolysis liquid known as bio-oil.
However, due to lack of information on the chemical and physical properties of the oil, less attention was given to the recovery processes which involve the cooling and the condensing of the oil vapors into liquid oil.
The main aim of the thesis is to determine the appropriate physical property method for modeling of the bio-oil vapors condensing to simulate the recovery process with Aspen Plus.
For the work, first 7 model compounds, which resemble the complicated matrix of bio-oil the best, are chosen.
Following that, pure component and temperature dependent properties of the components as welI as the binary interaction parameters among them are gathered both from literature and through property estimation tool of Aspen Plus.
After gathering all the necessary information to run the simulations, an appropriate physical property method is chosen based on the complexity of the system.
Several runs with modifications in the calculation algorithm are performed to achieve a converging model.
As a result, the proposed model is successful in terms of the predicting the liquid recovery.
It is capable of dealing with highly nonideal compound matrix with efficient recovery results.