This paper aims to study the modeling and controller of an electrically driven tractor optimized for energy efficiency under off-road conditions and when subjected to loads such as plowing. The dynamic model design is aimed at a 30kW electric tractor. The vehicle model consists of a 30kW motor, transmission, wheels, and a controller, designed using the commercial software Matlab/Simulink. In order to optimize energy efficiency under load conditions, this paper designs and implements a PID controller focusing on the vehicle's speed and wheel slip. The newly proposed electric tractor modeling and PID controller aim to demonstrate improved energy efficiency through simulation.

전 세계적으로 대두되고 있는 물 부족 현상을 해결하기 위하여 하수재이용과 해수담수화 공정의 관심이 높아지고 있다. 특히, 정삼투-역삼투 융합공정은 해 수를 유도용액으로, 하수처리수를 유입수로 하여 정삼투 공정에서 유도용질의 회수 없이 희석된 해수를 역삼투 공정을 통해 하수재이용과 해수담수화를 동시 에 달성할 수 있는 공정으로 최근 각광받고 있다. 이 융합공정은 정삼투 공정과 역삼투 공정의 단점을 상호 보완하는 저에너지 공정으로 차세대 해수담수화 시장을 이끌어 나갈 것으로 판단된다. 따라서, 본 연구에서는 정삼투, 역삼투 막의 특성과 융합공정의 운영인자를 반영한 공정모사를 통하여 정삼투-역삼투 융합 공정의 소비에너지를 최소화 시킬 수 있는 최적 운영조건을 도출하고자 하였다.

In this paper, we investigate the statistical correlation of the time series for temperature measured at the heat box in the automobile drying process. We show, in terms of the sample variance, that a significant non-linear correlation exists in the time series that consist of absolute temperature changes. To investigate further the non-linear correlation, we utilize the volatility, an important concept in the financial market, and induce volatility time series from absolute temperature changes. We analyze the time series of volatilities in terms of the de-trended fluctuation analysis (DFA), a method especially suitable for testing the long-range correlation of non-stationary data, from the correlation perspective. We uncover that the volatility exhibits a long-range correlation regardless of the window size. We also analyze the cross correlation between two (inlet and outlet) volatility time series to characterize any correlation between the two, and disclose the dependence of the correlation strength on the time lag. These results can contribute as important factors to the modeling of forecasting and management of the heat box’s temperature.

This research was performed to simulate shellfish production systems and sales in Gamak Bay, South Korea. To study the way the shellfish system generates maxima, a numerical model was developed to simulate the model under a control and a number of different scenarios. The program calculates the EMERGY flows by multiplying the flows of energy and materials by the appropriate solar transformity. In this study, an energy systems model was built to simulate the variation of sustainability for oyster aquaculture. The results of the simulation based on 2005 data that as oyster production yield slightly increases, money and assets increase to a steady state. When the program is run control simulation, the system reaches carrying capacity after 8 years. The simulation of models with price of purchased inputs increased with 3.5% inflation rate per year showed maximum benefit of shellfish production occurs after 6 years but amounts are less than control simulation, and then decreases slightly in money and yield results. The results with 3.5% inflation and increase of oyster price annually showed steady and slightly increase of money and yield.