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저염분에 대한 개량조개 (Mactra chinensis) 의 생리적 반응
류준형(Jun Hyung Ryu),민병화(Byung Hwa Min),김기태(Ki Tae Kim) 한국패류학회 2017 The Korean Journal of Malacology Vol.33 No.2
To investigate the tolerance of Sunray surf clam, Mactra chinensis in low salinities, survival and physiological responses related to osmoregulation of clams (60.2 ± 3.5 mm) were examined in 10, 20 and 30 psu at 15℃. The survival rate was 65.0% in 20 psu up to 216 h, while in 10 psu, severe mortality was recorded after 48 h and all died up to 96 h. Total hemocyte count (THC) was maintained a consistent level in 30 psu. While in 20 psu, it tended to decrease up to 24 h and afterwards, recovered gradually. In 10 psu, it was increased up to 6 h and tended to decrease later on. Osmolality of hemolymph followed the level of experimental water after 3 h 30 and 20 psu respectively, while in 10 psu, it did not completely follow the level of experimental water up to 48 h. Na<SUP>+</SUP>, Cl<SUP>-</SUP>, K<SUP>+</SUP> and Ca of hemolymph showed the same as the result of osmolality. Glucose of hemolymph was significantly increased at 72 h in 20 psu. In 10 psu, it was significantly increased at 12 h first and sharply increased at 48 h. Aspartate aminotransferase (AST), alanine aminotransferase (ALT) and lactate dehydrogenase (LDH) of hemolymph were significantly increased at 48 h in 10 psu simultaneously. Oxygen consumption and ammonia excretion were significantly decreased below 20 psu. Therefore, it is judged to be harmful on physiological activity of Mactra chinensis when be exposed to 20 psu over 72 h or to 10 psu over 12 h, respectively.
몬테 카를로 시뮬레이션 기반 변동성을 고려한 에너지 저장 시스템 용량 계산에 대한 고찰
김수환 ( Soowhan Kim ),류준형 ( Jun-hyung Ryu ) 한국화학공학회 2020 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.58 No.3
An Energy Storage System (ESS) is recently drawing an increasing attention as an efficient tool to cope with variation in the energy system. In order to take the best utilization of ESS, the inherent variation of energy supply and demand should be properly addressed. This paper is concerned with computing the stochastic capacity of ESS in the face of such variations by way of Monte Carlo simulation. The issue of uncertainty in energy systems will be given further focus. More works are expected to be followed to address the issues in academia and industry.
수소 충전소 최적 위치 선정을 위한 기계 학습 기반 방법론
김수환 ( Soo Hwan Kim ),류준형 ( Jun-hyung Ryu ) 한국화학공학회 2020 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.58 No.4
Hydrogen emerged as a sustainable transport energy source. To increase hydrogen utilization, hydrogen refueling stations must be available in many places. However, this requires large-scale financial investment. This paper proposed a methodology for selecting the optimal location to maximize the use of hydrogen charging stations. The location of gas stations and natural gas charging stations, which are competing energy sources, was first considered, and the expected charging demand of hydrogen cars was calculated by further reflecting data such as population, number of registered vehicles, etc. Using k-medoids clustering, one of the machine learning techniques, the optimal location of hydrogen charging stations to meet demand was calculated. The applicability of the proposed method was illustrated in a numerical case of Seoul. Data-based methods, such as this methodology, could contribute to constructing efficient hydrogen economic systems by increasing the speed of hydrogen distribution in the future.
재생에너지 기반 청정 수소 운송 에너지 시스템 모사 연구
이준헌 ( Joon Heon Lee ),류준형 ( Jun-hyung Ryu ) 한국화학공학회 2022 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.60 No.1
Since the Paris climate agreement, reducing greenhouse gases has been the most important global issue. In particular, it is necessary to reduce fossil fuels in the mobility sector, which accounts for a significant portion of total greenhouse gas emissions. In this paper, we investigated the economic feasibility of green mobility energy supply chains, which supply hydrogen as fuel to hydrogen vehicles based on electricity from renewable energy sources. The design and operation costs were analyzed by evaluating nine scenarios representing various combinatorial possibilities such as renewable energy generation, hydrogen production through water electrolytes, hydrogen storage and hydrogen refueling stations. Simulation calculations were made using Homer Pro, widely used commercial software in the field. The experience gained in this study could be further utilized to construct actual hydrogen energy systems.