Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Sawarni Hasibuan, Hermawan

Judul : Scaling up Model for Developing Second-Generation (2G) Bioethanol by using Palm Empty Fruit Bunches Feedstock
Abstrak :

As the country with the largest palm oil production in the world, the potential of lignocellulose waste like an empty fruit bunch produced by Indonesia is huge. Utilization of empty fruit bunch feedstock into second-generation (2G) bioethanol on a pilot scale is quite extensive. 2G bioethanol is also generally recognized as a promising market potential because of its less impact on the environment, however, the production cost is still rather high and the development of a commercially competitive process for 2G technology poses a challenge. This research attempts to investigate the model of scaling up of 2G bioethanol production to accelerate commercialization by integrating the well-established sucrose-tobioethanol process from palm oil lignocellulose feedstock. The case of scaling up to be calculated for a chemical pathway of bioethanol production with productivity consideration. Scaling up shows some of the unit process shall complete the basic step in laboratories scale. The supporting process must develop in pretreatment step likes empty fruit bunch washing, drying, and mechanical tearing. The additional process in hydrolysis step is filtering and evaporation glucose liquor until appropriate concentration. The distillation step develops for industrial scale according to alternatives products such as ethanol for solvent, pharmaceutical grade ethanol, or biofuels. The industrial-scale model estimate to produce 18.6 KL/days of bioethanol (ethanol content of 99.6%) need to support at least three crude palm oil plant with capacities 30-45 ton empty fruit bunch feedstock/hour. The model calculated empty fruit bunch feedstock about 600 ton/day.

Tahun : 2018 Media Publikasi : Seminar Internasional
Kategori : Prosiding No/Vol/Tahun : - / - / 2018
ISSN/ISBN : 2169-8767
PTN/S : Universitas MercuBuana Jakarta dan Universitas Pakuan Bogor Program Studi : ILMU KOMPUTER
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URL : http://ieomsociety.org/ieom2018/proceedings/

 

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