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ASPEN PLUS MODELLING SIMULATION AND TECHNO-ECONOMIC STUDY OF CATALYTIC AND NON-CATALYTIC FAST PYROLYSIS OF OLIVE MILL WASTEWATER SLUDGE IN A FLUIDIZED BED REACTOR

Modelling and simulation of catalytic and non-catalytic fast pyrolysis of olive mill waste water sludge (OMWS) in a fluidized bed reactor for production of bio-oil is developed using Aspen plus software. Pyrolysis is modeled with a global reaction taking into account the overall reaction kinetics me...

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Bibliographic Details
Published in:International journal of energy, environment, economics environment, economics, 2019-05, Vol.27 (3), p.155-186
Main Authors: Khan, Muhammad Shoaib Ahmed, Grioui, Najla, Halouani, Kamel, Donnot, André, Benelmir, Riad
Format: Article
Language:English
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Summary:Modelling and simulation of catalytic and non-catalytic fast pyrolysis of olive mill waste water sludge (OMWS) in a fluidized bed reactor for production of bio-oil is developed using Aspen plus software. Pyrolysis is modeled with a global reaction taking into account the overall reaction kinetics measured experimentally. Two pyrolysis schemes are effectively modeled in Aspen Plus; one without catalyst and the other with red mud as catalyst. The fast pyrolysis takes place at three different temperatures 400, 450 and 500°C. Maximum bio-oil yield is obtained at 450°C for non-catalytic and 400°C for catalytic fast pyrolysis. Simulation results show a good agreement with experimental results with an absolute average deviation of 2.78% and 3.54% for non-catalytic and catalytic fast pyrolysis respectively. Techno-economic analysis of catalytic fast pyrolysis for a plant capacity of 100 tonnes/day wet biomass (93 tonnes/day dry biomass) indicates that the total project investment is €17.9 million and operating cost of €4.9 millions which determines the minimum fuel selling price of bio-oil to be €3.02/gallon gasoline equivalent. The energy efficiency of plant is estimated to be 52.9% and sensitivity analysis shows that minimum fuel selling price varies significantly with variation in income tax, rate of return and fuel yield.
ISSN:1054-853X