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수소스테이션용 20Nm<sup>3</sup>/hr급 컴백트형 고효율 수소제조장치 기술개발
오영삼 ( Youngsam Oh ),박달영 ( Dal Young Park ),조영아 ( Young Ah Cho ) 한국신재생에너지학회 2005 신재생에너지 Vol.1 No.4
세계적으로 수소에너지를 미래 에너지의 대안으로 여겨지고 있기 때문에 수소에너지 관련기술은 미래 국가 경쟁력을 좌우할 것으로 예상되고 있으며 수소에너지시대의 핵심인 수소스테이션 관련기술을 개발은 국가 연료전지 시장을 비롯한 수소 자동차 산업 전반에 큰 영향을 미칠 것으로 예상되고 있다. 이에 따라 전 세계적으로 수소에너지를 차세대 에너지원으로 개발하기 위하여 전력을 다하고 있으며 수소제고기술개발 및 수소스테이션 실증연구가 진행되고 있다. 본 연구에서는 수소스테이션용 20 Nm<sup>3</sup>/hr급 컴팩트형 고효율 수소제조장치 기술개발내용에 대하여 소개하고자 한다.
오영삼 ( Youngsam Oh ) 한국유통경영학회 2021 유통경영학회지 Vol.24 No.5
Purpose: This study would look for measures for the promotion of efficiency by drawing static efficiency and dynamic efficiency, considering the needs for the promotion of interests and effort for developmental diversification of food companies characterized by their small size and problems that the food companies face and draw improvements for sustainable development by analyzing many large food companies’ plans for management efficiency through efficiency analysis. Research design, data, and methodology: The DEA model was used to analyze the static efficiency of food businesses with top actual yields, and the DEA Window model was used to assess their dynamic efficiency. The CCR and BCC models were used to calculate the value of static efficiency, and the DEA Window model was used to analyze the trend of change in efficiency and stability, using three input variables and one output variable. The efficiency from 2016 through 2020 was measured. Capital, debt, selling, and administrative expenses were chosen as input variables, with sales as the output variable. Results: The CCR analysis of the DEA model revealed that seven out of 18 food companies were efficient, whereas the BCC analysis revealed that 11 were efficient, in terms of pure technological efficiency. As a result of the dynamic efficiency analysis, similar estimates were drawn in 2018 and 2019; however, the value decreased in 2020, and it was assumed that it was affected by social environments. In 2020, sales decreased in numerous industries due to COVID-19, and it was an estimate that showed that food companies were also affected like other industry sectors. Implications: Estimates of large food companies’ efficiency were drawn, using the DEA and DEA Window models. Small food companies can improve their efficiency by digitizing and diagnosing their management efficiency status, benchmarking estimates in this study and utilize them as the baseline data to find their management efficiency. In addition, improving their input excesses and output shortfalls through an analysis of inefficient DMU and utilizing that as a measure for the promotion of their efficiency will turn out to be large ones’ continuous growth and small ones’ growth.