• 제목/요약/키워드: smart energy

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일체형원자로 MMIS 설계에 적용을 위한 소프트웨어 시험 계획 (A Software Testing Plan for Integral Reactor MMIS Design)

  • 서용석;허섭;박근옥;이종복;김동훈
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2001년도 춘계학술발표논문집 (하)
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    • pp.1097-1100
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    • 2001
  • 소프트웨어 개발자로부터 독립된 소프트웨어 시험자가 수행하는 소프트웨어 시험은 소프트웨어의 안전성 향상을 위해 필요하다. 컴퓨터기반의 디지틀시스템으로 설계되는 일체형원자로 MMIS에 적용하기 위한 소프트웨어 시험 계획을 개발할 필요가 있다. 본 논문은 소프트웨어 시험 계획을 소프트웨어시험 조직 구성, 시험 문서, 시험 절차, 시험 방법을 중심으로 제시한다. 소프트웨어 시험 방법은 원시코드 정적분석과 동적시험을 구분하여 기술한다. 본 논문에서 제시된 소프트웨어 시험 계획은 원자력 규제기관에서 요구하는 소프트웨어 시험 요구사항을 만족한다. 본 논문을 통해 제시된 소프트웨어 시험 계획을 일체형원자로 MMIS 소프트웨어 개발 시 적용하여 소프트웨어 고장율 데이터를 수집할 예정이다.

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A Study on SSDP protocol based IoT / IoL Device Discovery Algorithm for Energy Harvesting Interworking Smart Home

  • Lee, Jonghyeok;Han, Jungdo;Cha, Jaesang
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권2호
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    • pp.7-12
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    • 2018
  • The spread of IoT (Internet of Things) technology that connects objects based on wired / wireless networks is accelerating, and IoT-based smart home technology that constitutes a super connected network connecting sensors and home appliances existing inside and outside the home is getting popular. In addition, demand for alternative energy technologies such as photovoltaic power generation is rapidly increasing due to rapid increase of consumption of energy resources. Recently, small solar power systems for general households as well as large solar power systems for installation in large buildings are being introduced, but they are effectively implemented due to limitations of small solar panels and lack of power management technology. In this paper, we have studied smart home structure and IoT / IoL device discovery algorithm for energy harvesting system based on photovoltaic power generation, It is possible to construct an efficient smart home system for device control.

액정 기반 스마트 윈도우용 셀의 특성 연구 (A Study on Characteristics of Liquid-Crystal Based Cell for Smart Window)

  • 박병규;김순금;이승우;소순열;이진
    • 한국전기전자재료학회논문지
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    • 제33권4호
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    • pp.271-275
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    • 2020
  • Smart windows are used as windows and doors to determine the cooling and heating efficiency of a building. They have characteristics that can increase the energy efficiency of a building, which leads to energy savings. In addition, smart windows can control the amount of light transmitted from the external environment of a building to the interior of a building according to the needs of the user. In this study, a 297×210 ㎟ liquid crystal cell capable of controlling light transmittance was fabricated using a liquid crystal device as an optical shutter. The effect of driving voltage on the transmittance and the effect of the thermal environment on the driving stability were analyzed. We confirmed the applicability of using smart windows as exterior building materials.

액정 스마트윈도우의 신뢰성에 대한 연구 (A Study on Reliability of Liquid-Crystal for Smart Window)

  • 박병규;김순금;이승우;박계춘;이진
    • 한국전기전자재료학회논문지
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    • 제33권6호
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    • pp.471-474
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    • 2020
  • In recent years, the challenge of higher energy efficiency has emerged as urban buildings have become taller, and the area of window glasses has increased. To address the problem of energy efficiency in buildings, research on smart windows is being actively conducted. In this study, an accelerated experiment for thermal stability was conducted to fabricate a liquid crystal cell applicable to external windows. It was confirmed from the study that the function is maintained even in a high-temperature external environment through the change in transmittance by voltage. Compared with the initial transmittance, after the passage of time, the smart window cell to which the sealant was applied showed a small change in transmittance of 1~2%. This result confirmed the thermal stability of the liquid crystal-based smart window.

Mechanical and Thermal Properties of Environmentally Benign Silicone Foam Filled with Wollastonite

  • Kim, Yongha;Joeng, Hyeonwoo;Lee, Kyoung Won;Hwang, Sosan;Shim, Sang Eun
    • Elastomers and Composites
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    • 제55권4호
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    • pp.300-305
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    • 2020
  • In recent times, polymeric foams have been popularly used in various applications. To meet the demand for these applications, polymer foams with excellent mechanical and thermal properties are required. In particular, silicone foam has gained significant attention owing to its superior thermal properties and low density. In this study, the mechanical and thermal properties of silicone foams filled with wollastonite were investigated. A maximum tensile strength of 98.3 kPa was obtained by adding 15 phr of wollastonite. The specific gravity did not exhibit a marked difference up to 10 phr, but it increased substantially above 15 phr wollastonite. Thermogravimetric analysis indicated that adding wollastonite to the silicone foam increased both the amount of residue and the thermal decomposition temperature. The morphologies of the silicone foams filled with wollastonite were observed by scanning electron microscopy.

Sustainable Smart City Building-energy Management Based on Reinforcement Learning and Sales of ESS Power

  • Dae-Kug Lee;Seok-Ho Yoon;Jae-Hyeok Kwak;Choong-Ho Cho;Dong-Hoon Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권4호
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    • pp.1123-1146
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    • 2023
  • In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

태양광발전 및 ESS 기반 전기차 충전인프라용 블랙박스 개발 (Development of Black Box for EV Charging Infra based on Solar Power Generation and ESS)

  • 김동완;박지호;안영주
    • 전기학회논문지P
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    • 제67권3호
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    • pp.160-167
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    • 2018
  • In this paper, a black box, which is provided the reliability and user safety of home battery energy storage system connected with solar energy generation, is developed. In the developed scheme, a status and diagnosis data of battery management system, power conditioning system, solar energy generation and grid is measured. This status and diagnosis data is stored and displayed in the developed black box. In addition, this status and diagnosis data is stored and displayed in a monitoring system and a smart phone of user. A performance evaluation of the developed black box is carried out using emulator of home battery energy storage system connected with solar energy generation. Consequently, the developed black box is proved its superiority of the reliability and user safety.

IEEE1451.5 기반의 전원 제어용 무선 DR_인터페이스 장치 개발에 관한 연구 (A Study on the Development of Power Control Wireless Interface Module for Demand_Response using IEEE1451.5)

  • 이정한;최인호;류중경
    • 제어로봇시스템학회논문지
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    • 제15권12호
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    • pp.1192-1196
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    • 2009
  • Recently, the environment contamination problem and energy saving are the social issues. So, the Green IT based Smart Grid was suggested. The smart grid will let rates fluctuate even more dynamically, depending on conditions using energy. Thus, green IT includes the dimensions of environmental sustainability and the economics of energy efficiency. The smart controller in which it is controlled by DR in order to manage the energy consumption by using AMI is needed in order to apply its technology to the real life. In this paper, DR_WTIM of the IEEE1451.5 base which has the DR function for connecting to AMI of the wireless base is developed. By using this apparatus for the power control system, the energy saving effect is shown. Moreover, by using the IEEE1451.5 technology, the problem of energy consumption is solved in order to apply to power controller designed for efficient use energy.

Stochastic Gradient Descent Optimization Model for Demand Response in a Connected Microgrid

  • Sivanantham, Geetha;Gopalakrishnan, Srivatsun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권1호
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    • pp.97-115
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    • 2022
  • Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

Analysis on the discharge characteristics and spreading behavior of an ex-vessel core melt in the SMART

  • Sang Ho Kim;Jaehyun Ham;Byeonghee Lee;Sung Il Kim;Hwan Yeol Kim;Rae-Joon Park;Jaehoon Jung
    • Nuclear Engineering and Technology
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    • 제54권12호
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    • pp.4551-4559
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    • 2022
  • The aim of this research is to analyze the characteristics of a core melt discharged from the reactor vessel and the spreading behavior the core melt in the reactor cavity of the SMART. First, a severe accident sequence under conservative conditions is simulated by the MELCOR code to obtain the conditions for an analysis of the spreading behavior and coolability of the ex-vessel melt. Second, the spreading behavior and coolability of the ex-vessel melt are analyzed by the MELTSPREAD code. The level, temperature, and pressure of the water in the cavity as well as the temperature, mass, composition, and discharge velocity of the melt were utilized to construct the ex-vessel analysis. The melt spread only to part of the cavity, and that the height of the corium in a static state was less than 25 cm. The characteristics of a small modular reactor on the spreading behavior and coolability of melt were analyzed. In the SMART, the amount of melt discharged into the cavity is relatively small and the area of the cavity is sufficiently large when compared to a high-power pressurized water reactor. It was found that the coolability of an ex-vessel core melt can be sufficiently secured.