In response to the global transition towards carbon neutrality, there's an increasing emphasis on sustainable energy solutions, with offshore wind power playing a crucial role, especially in South Korea. This study presents an AI-based safety management system specifically designed for offshore wind operators. At the heart of this system is a machine learning algorithm that processes sensor data to automatically recognize human behavior and improve the accuracy of predicting worker actions and conditions. Such predictive analytics not only refines the analysis of behavioral patterns, but also increases the effectiveness of accident prevention. The results of this research are expected to significantly improve safety measures in offshore wind facilities and further sustainable energy initiatives.

PURPOSES : The objective of this study was to review roadway management strategies that can be utilized in the event of a radiological emergency, select feasible alternatives, and simulate a portion of the West Coast network to analyze the effectiveness of these strategies. METHODS : The methodology of the study involved reviewing the relevant literature, extracting the implications, establishing an analysis procedure, and selecting an effectiveness evaluation scale. Using a national transportation database, a network was constructed using Toba, a macroscopic model. RESULTS : A reverse-flow lane system was applied to the West Coast Expressway Glory IC–Hampyeong IC (total 25 km), and a plan to increase the number of lanes was applied to the Seokgyo Street–Shinpyeong Intersection on National Route 23 (total extension 28 km). Consequently, both road management strategies were found to be effective. CONCLUSIONS : This study examined roadway management strategies that can be utilized in the event of a radiological emergency, selected feasible alternatives, and simulated a portion of the West Coast network to verify the effectiveness of these strategies. In the case of reverse flow lanes, it is most effective when applied to expressways that can restrict the entrance and exit of vehicles. In the case of increasing the number of lanes, it is most effective when applied to general roads, and institutional arrangements should be made to enable two-way traffic to use the reserved shoulder lanes.

본 연구는 ESG 경영에 대한 에너지 관련 산업과 기업의 전략적 발전방향 모색을 위하여 글로벌 ESG 경영에서 선도적인 역량과 경험을 갖고 있는 것으로 평가되는 한국중부발전의 사례를 분석해 성공 요인을 도출하고자 하였다. 사례 분석 결과 한국중부발전은 한 발 앞서 ESG 경영에 관심을 갖기 시작해 기후위기 대응과 청정에너지 및 신재 생에너지 사업 분야로 진출하였고, 동반성장과 지역사회 공헌, 부패방지와 윤리경영에 역점을 두고 미래성장과 지 속가능경영을 계속해 객관적인 수치와 실적을 기반으로 우수한 성과를 달성한 것으로 확인되었다. 또한 한국 중부 발전이 글로벌 ESG 경영에 성공할 수 있었던 것은 기존의 글로벌 경영 역량 보유와 이를 제고하고자 전문인력 양 성을 바탕으로 전사적인 조직을 중심으로 하는 지속적인 노력, ESG 리스크에 대한 선제적 관리와 수치목표 중심의 성과관리, 동반성장과 상생경영의 기업문화, 글로벌 ESG 경영에 대한 CEO와 경영진의 판단과 의지가 주요한 요 인으로 작용하였기 때문이라고 분석되었다.

This study aims to propose a conceptual design of information displays for supporting responsive actions under severe accidents in Nuclear Power Plants (NPPs). Severe accidents in NPPs can be defined as accident conditions that are more severe than a design basis accident and involving significant core degradation. Since the Fukushima accident in 2011, the management of severe accidents is increasing important in nuclear industry. Dealing with severe accidents involves several cognitively complex activities, such as situation assessment; accordingly, it is significant to provide human operators with appropriate knowledge support in their cognitive activities. Currently, severe accident management guidelines (SAMG) have been developed for this purpose. However, it is also inevitable to develop information displays for supporting the management of severe accidents, with which human operators can monitor, control, and diagnose the states of NPPs under severe accident situations. It has been reported that Ecological Interface Design (EID) framework can be a viable approach for developing information displays used in complex socio-technical systems such as NPPs. Considering the design principles underlying the EID, we can say that EID-based information displays can be useful for dealing with severe accidents effectively. This study developed a conceptual design of information displays to be used in severe accidents, following the stipulated design process and principles of the EID framework. We particularly attempted to develop a conceptual design to make visible the principle knowledge to be used for coping with dynamically changing situations of NPPs under severe accidents.

ESG 경영은 CSR 경영이나 CSV 경영 등 기업의 자발적인 윤리 경영과는 달리 재무제표와 같은 공시 의무화를 기반으로 한 재무적 투자에 까지 영향을 미치고 있다는 점에서 경영 패러다임의 대전환이라고까지 할 수 있다. 이러한 상황에서 본 연구에서는 글로벌 경영 차원에서의 ESG 경영을 ‘글로벌 ESG 경영’이고 정의하고, 이를 개 도국을 중심으로 한 해외 사업에서의 글로벌 ESG 경영과 글로벌 공급망 관리 차원에서의 글로벌 ESG 경영으로 나누었다. 이러한 글로벌 ESG 경영의 관점에서 한국수력원자력에서 발표한 연도별 지속가능경영보고서와 관련 자료를 분석하고, 한수원 임직원에 대한 심층 인터뷰를 실시해 한국수력원자력의 글로벌 ESG 경영 사례를 분석 했다. 분석 결과 네팔 차멜리야 수력사업에서 현지 주민들에게 교통이나 통신, 수도 등의 인프라를 제공하고, 기술 인력과 기능 인력의 인권과 노동환경 개선을 위해 노력한 사례는 글로벌 ESG 경영의 모델이 될 수 있음을 확인 했다. 또한 한국수력원자력은 국내 ESG 경영 활동과 달리 해외 ESG 활동에서 주로 사회분야(S)에 집중되어 있 어 향후 환경(E)과 거버넌스(G)분야를 포함한 전체 ESG 분야에서 글로벌 경영을 추진할 필요성을 확인했다.

국제해사기구에서는 선박에서 배출되는 질소산화물 및 이산화탄소 등에 관한 환경규제를 꾸준하게 강화하고 있다. 이에 친환 경 요소를 바탕으로 하는 전기추진시스템의 수요가 증가하고 다양한 선박에 적용되며 연구개발이 꾸준하게 진행되고 있다. 전기추진시스 템은 신뢰성을 높이고 선내 배치를 용이하게 하기 위한 이중화 구성이 주로 채택되며 실제 장비나 공간을 가상 세계에 쌍둥이처럼 구현 하고 현실 세계의 정보와 데이터를 가상 세계와 통합하여 실제 환경에서 발생할 수 있는 상황을 컴퓨터로 시뮬레이션 함으로써 결과를 미리 예측할 수 있는 디지털트윈 기술의 접목을 통하여 전기추진시스템의 안전성 확보를 위한 연구 또한 매우 활발하게 진행되고 있다. 본 연구에서는 전기추진선박의 디지털트윈 기술개발을 위한 전력관리시스템 이중화에 대한 검증을 FMEA를 바탕으로 분석 후 선급에서 제시하는 이중화 FMEA 기준을 바탕으로 실제 선박 운항 조건에서 전력관리시스템의 단일 장비 고장의 일차 피해와 이차 피해 및 전체 시스템의 영향을 분석하여 추가 피해를 방지하기 위한 보상기능으로 전력관리시스템의 역할과 알고리즘을 제안하였으며 실제 테스트를 통해 추진력 보존이 개선되었음을 검증하였다.

This paper is to study the technology of inspection and history management systems for wind power that are continuously increasing around the world. In the past, inspections and analysis of major devices in renewable energy system have been operated in an analog way that identifies problems through photography and passive method. To improve this problem, we conduct a study on VR-based inspection history management system using 3D texturing technique of drone image. The paper describes the current status and prospects of wind power, research and development of wind power blade inspection and history management systems, experiments and reviews in the field, and expected effects and future utilization of this technology. It is expected that the latest technology for inspection and management of renewable system will be secured and introduced to the site through the development research of this system to reduce maintenance costs and power generation costs.

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

In this study, we have defined measurement and verification methods and procedures to assess the energy use on the utility system of building. Time series data conversion methods and algorithms have been proposed in performance evaluation options. To verify the feasibility of the method, the energy consumption of the refrigerator, which was an energy utility, was measured and analyzed. we present an algorithm based on the annual base conversion and analyze it based on actual data. As a result, a k-means clustering moving average method was defined for the performance calculation option A, and the use time correction coefficient method was proposed. The validity of this method was verified through the verification.

In this paper we describe differential circuit of charge pump for voltage management systems, their evolution and improvement in design. The systems are powered by solar cells and generate different voltage levels which are suitable for systems on-chip integrated regulator applications. The voltage regulator outputs voltage from low power digital circuit, -2V for memory, and from 2V to 12V for input and output components. The circuits were simulated using LT SPICE software.

Changes in the business environment in which intense and sustained growth and survival must meet a variety of customer needs (Q, C, D) and business side of the enterprise for profit structure reformation is absolutely necessary for innovation activities. So far, management of innovation in method BPR, PI, OVA, 6 Sigma, Strategic Purchasing, PPM, SCM etc. are being introduced. However, they have a limit of partial optimization and improvement-oriented techniques. So this paper studied the TPI(Total Profit Innovation) application in order to derive empirical methodology to maximize profitability for the domestic S foundry factory. To this end, long-term gains through structural analysis and intensity analysis to ensure continued growth and profitability strategy are devised through management Innovation analysis. And improvement projects was presented to solve main issues of five categories(Inventory, Sales Mix, Cost, Quality Cost, Skill and Work-load) We will expect the office productivity improvement and financial performance improvement and then continually accumulate and review the results.