In this study, to improve the logistics flow of existing given chemical logistics warehouse, four logistics flow alternatives were proposed to minimize truck interference by building simulation model. The simulation model for chemical storage warehouse was built to evaluate system performance. Among the four new improved alternatives based on the basic model, the model with the same truck’s pathways and locations of facilities identified an increase in the number of interferences but a decrease in daily working hours as the number of resources in a particular facility increases. Therefore, the three groups were classified as ‘efficiency’, ‘complementary’, and ‘safety’ based on the daily working hours, and the ratio of trucks entering two types of logistics warehouse was set in consideration of future market fluctuations. For each of the six types, the optimal number of resources was selected as the number of resources in the facilities with the least number of interferences in the basic model and the evaluation measures and characteristics set in this study were compared and analyzed. As a result, the Alternative 4 model operating the underground roadway produced interference between 17.0% and 36.4% of the basic model, with 113.3% of the interior loadspace.

There are several methods of peak-shaving, which reduces grid power demand, electricity bought from electricity utility, through lowering “demand spike” during On-Peak period. An optimization method using linear programming is proposed, which can be used to perform peak-shaving of grid power demand for grid-connected PV+ system. Proposed peak shaving method is based on the forecast data for electricity load and photovoltaic power generation. Results from proposed method are compared with those from On-Off and Real Time methods which do not need forecast data. The results also compared to those from ideal case, an optimization method which use measured data for forecast data, that is, error-free forecast data. To see the effects of forecast error 36 error scenarios are developed, which consider error types of forecast, nMAE (normalizes Mean Absolute Error) for photovoltaic power forecast and MAPE (Mean Absolute Percentage Error) for load demand forecast. And the effects of forecast error are investigated including critical error scenarios which provide worse results compared to those of other scenarios. It is shown that proposed peak shaving method are much better than On-Off and Real Time methods under almost all the scenario of forecast error. And it is also shown that the results from our method are not so bad compared to the ideal case using error-free forecast.

‘백옥찰’은 내도복성이며 복합내병충성을 갖춘 중만생종 찰벼 품종을 육성하고자 국립식량원 기능성작물부에서 육성된 새로운 찰벼품종이다. ‘백옥찰’의 출수기는 중부평야지 및영․호남평야지 보통기 보비재배에서 8월 20일로 ‘신선찰벼보다 9일 늦은 중만생종이며, 이모작에서는 ‘남평벼’ 보다 1일 늦고, 만식에서는 ‘남평벼’ 보다 3일 늦은 중만생종이다‘백옥찰’의 줄기 두께는 ‘신선찰벼’와 같이 중간 정도이나 강도는 ‘신선찰벼’보다 강한 편이고 분얼개도는 보통이며, 탈립은 ‘신선찰벼’에 비해 잘 되는 편이다. 주당수수는 ‘신선찰벼보다 3개가 적으나 수당립수는 20여개가 많고 등숙비율은 ‘신선찰벼’에 비해 9% 높으며 현미 천립중 또한 ‘신선찰벼에 비해 무거운 편이다. 도정특성은 ‘신선찰벼’보다 다소 높으며, 특히 백미 완전립율이 ‘신선찰벼’에 비해 월등히 높은 편이다. 현미 장폭비는 1.71로 ‘신선찰벼’에 비해 쌀알이 약간 작은 편이며 단백질 함량 및 알카리 붕괴도 등 이화학적 특성은 ‘신선찰벼’와 같은 편이다. 불시출수가 없었으며, 성숙기의 엽노화가 중간 정도를 보였다. 내냉성 검정 결과 ‘신선찰벼’보다 출수지연은 적었고 및 냉수구 임실율은 약간 높았으며 수발아는 잘 안되는 편이었다. 도복관련형질에 있어서 벼키는 ‘신선찰벼’와 같으나 중심고, 좌절중, 모멘트 및 도복지수 등 도복관련 형질에서는 전반적으로 ‘신선찰벼’보다 큰 편이었고 포장 도복은 없었다. 잎도열병 밭못자리 검정결과 ‘백옥찰’은 전국 평균 도열병 저항성 정도가 ‘신선찰벼’와 비슷한 저항성을 보였으며, 목도열병의 경우 현지 포장검정에서는 발병되지 않았고 내구저항성은 강하였다. 흰잎마름병(K1-3), 줄무늬잎마름병에는 저항성이고 오갈병 및 검은줄오갈병에는 감수성이었다. ‘백옥찰’의 수량성은 중부평야, 호남․ 충남평야 및 영남평야지 보통기 보비재배 6개소에서 쌀 수량은 526 kg/10a으로 대조품종보다 9% 증수된 높은 수량성을 보였다. ‘백옥찰’은 중부 및 영호남내륙평야 1모작지대에 적응성이 높은 중만생종이다.