Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

Economic Cost Analysis of Biodiesel Production: Case in Soybean Oil†

Abstract: The economic costs of three biodiesel plants with capacities of 8000, 30 000, and 100 000 tons year−1 were analyzed and assessed. The plants employ continuous processes using an alkali catalyst and the raw material of soybean oil. Six major economic cost factors were computed and examined. These include the fixed capital cost (FCC), total capital investment cost (TCC), total manufacturing cost (TMC), net annual profit after taxes (NNP), after-tax rate of return (ARR), and biodiesel break-even price (BBP). The NNP and ARR of plants with capacities of 8000, 30 000, and 100 000 tons year−1 are −24 × 103, 1975 × 103, and 8879 × 103 U.S. dollars (USD), and −10.44, 40.23, and 67.38%, respectively. The values of BBP of the three plants are 862, 724, and 678 USD ton−1 (price in July 2007). The plant with a capacity of 100 000 tons year−1 is economically feasible, providing a higher NNP and more attractive ARR with a lower BBP. Among the system variables of the plants examined, plant capacity, price of feedstock o...

Bi-objective power dispatch using fuzzy satisfaction-maximizing decision approach

Abstract: A fuzzy satisfaction-maximizing decision approach is presented to solve the bi-objective power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NO/sub x/ emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of noninferior solutions are obtained. For each noninferior solution achieved, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered and hence the final best compromise solution. Numerical results of the IEEE 30-bus 6-generator test systems are presented to demonstrate the proposed fuzzy satisfaction-maximizing decision approach.