Lim, Jeng Shun and Hashim, Haslenda and Abdul Manan, Zainuddin and Wan Alwi, Sharifah Rafidah (2012) Optimal design of a rice mill utility system with rice husk logistic network. Industrial And Engineering Chemistry Research, 51 (1). pp. 362-373. ISSN 0888-5885
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Official URL: http://dx.doi.org/10.1021/ie101667j
Abstract
Thermal energy for drying and electricity for milling operations typically comprise a significant 55% of a rice mill operating cost. Optimal design of rice mill utility system that efficiently utilizes rice husk biomass has potential to increase profitability of rice milling industry. This paper presents a mathematical approach for simultaneous optimal planning of rice husk logistic network as well as optimal design of a rice mill utility system that efficiently utilizes rice husk supplied from various locations in order to satisfy the electricity and drying requirements of the rice mill throughout the year. A mixed integer linear programming (MILP) problem was formulated to determine: (1) the optimal logistic network for the rice husk supply, (2) the economic scale of the rice husk cogeneration system, and (3) an optimal utility supply network for a series of dryers consisting of a combination of cyclonic husk furnace (CHF) and cogeneration systems. Solution to the MILP problem yields an optimal utility system configuration consisting of a specified network of rice husk logistic network, a 15 tons boiler for the cogeneration system and 8 units of CHFs to satisfy the rice mill heat and power requirements. Compared to the baseline, the optimal utility network manages to reduce 18.5% of the total rice mill annualized cost which include the costs of capital, fuel, and electricity.
Item Type: | Article |
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Uncontrolled Keywords: | electricity, rice husk biomass, mixed integer linear programming |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Chemical Engineering |
ID Code: | 47310 |
Deposited By: | Narimah Nawil |
Deposited On: | 22 Jun 2015 05:56 |
Last Modified: | 31 Mar 2019 08:38 |
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