• Title/Summary/Keyword: Smart Energy Profile 2.0

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The Development of the Automatic Demand Response Systems Based on SEP 2.0 for the Appliances's Energy Reduction on Smart Grid Environments (스마트 그리드 환경에서 가전기기의 에너지 저감을 위한 SEP 2.0 기반의 자동수요반응 시스템 개발)

  • Jung, Jin-uk;Kim, Su-hong;Jin, Kyo-hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.9
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    • pp.1799-1807
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    • 2016
  • In this paper, we propose the automatic demand response systems which reduce the electric power consumption for the period automatically distinct from the existing passive demand response that a subscriber directly controls the energy consumption. The proposed systems are based on SEP 2.0 and consist of the demand response management program, the demand response server, and the demand response client. The demand response program shows the current status of the electric power use to a subscriber and supports the function which the administrator enables to creates or cancels a demand response event. The demand response server transmits the demand response event received from the demand response management program to the demand response client through SEP 2.0 protocol, and it stores the metering data from the demand response client in a database. After extracting the data, such as the demand response the start time, the duration, the reduction level, the demand response client reduces the electric power consumption for the period.

An Interoperable Mapping Model between SEP 2.0 & OpenADR 2.0b for ICT Grid Convergence (ICT 전력 융합을 위한 SEP 2.0과 OpenADR 2.0b간의 상호운용 매핑 모델)

  • Choi, Min-Young;Lee, June-Kyoung;Lee, Kyoung-Hak
    • Journal of the Korea Convergence Society
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    • v.8 no.8
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    • pp.41-49
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    • 2017
  • The 'NIST Framework and Road Map for Smart Grid Interoperability Standards' proposes an architecture framework to secure the direction of development and standard interoperability of smart grid and provides a list of identified standard, standard cyber security strategies, and certification framework. In particular, SEP 2.0 and OpenADR 2.0 are the examples. SEP 2.0 and OpenADR 2.0 can functionally link HEMS and Smart Grid, but interoperability standards between the two protocols are not planned in above document. The OpenADR Alliance also announced that work is underway to define mapping tables for interoperability between OpenADR 2.0 and SEP 2.0, but no information is yet available. Therefore, In this paper, in developing energy efficiency improvement HEMS, we propose a mapping model that supports syntactic and semantic founded interoperability between SEP 2.0 and OpenADR 2.0b for ICT grid convergence based on the standard specification document of each protocol and confirmed through an example of the semantic mapping function based on the demand response service scenario.

Development of Smart Energy Profile(SEP)2.0 Based Home Energy Management System(HEMS) for Photovoltaic(PV), Energy Storage System(ESS) (PV, ESS를 활용한 SEP 2.0 기반의 HEMS 개발)

  • Kim, Byung Min;Lee, Sang Hak;Cho, Sung Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.833-834
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    • 2016
  • 최근 에너지 시장의 흐름은 공급위주에서 효율위주로 이동함에 따라 가정 내에서 스마트 그리드와 연동하고 태양광 및 에너지저장시스템을 활용한 에너지 관리 시스템 기술에 대한 연구와 개발이 활발히 진행되고 있다. 하지만 시중에서 판매되는 제품은 인터페이스를 갖추고 있지 않거나 제조사별 독자 프로토콜 사용으로 인한 기존 홍 네트워크와 호환성 문제를 가지고 있다 본 논문에서는 호환성 향상을 위한 SEP2.0 기반의 흉 에너지 관리 시스템 개발과 에너지 관리 스케줄링에 대해 기술하고자 한다.

Weight Control Program through the Fortification of Food Consumption Monitoring on Obese Female College Students - Using Smart-Phone with Real Time Communication Application - (비만 여대생을 대상으로 음식섭취 모니터링 강화를 통한 체중조절 - 스마트폰의 실시간 커뮤니케이션 어플리케이션을 이용하여 -)

  • Kim, Young-Suk;Shin, Jae-Kyung;Hong, In-Sun;Kim, Seon-Hee;Chang, Un-Jae
    • Korean Journal of Community Nutrition
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    • v.16 no.6
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    • pp.697-705
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    • 2011
  • This study was conducted to investigate the effects of real time communication digital photography method using Kakao Talk application in smart-phone for the fortification of food consumption monitoring and weight reduction. Thirty-four female college students were randomly assigned to the camera-phone (CP) group or smart-phone (SP) group. Each group participated in the weight control program for 8 weeks. The mean energy intake of CP group during program was 1353.5 kcal and the SP group consumed 1289.2 kcal. The total energy intake of both groups was significantly decreased during the program. The CP group lost 1.9 kg of body weight and 1.9% of body fat and the SP group lost 4.3 kg of body weight and 3.0% of body fat. The body weight was significantly decreased in the SP group compared to the CP group. The triglyceride and total cholesterol, and LDL-cholesterol level of SP group were significantly decreased during the program. However, there were no significant changes in CP group during the program. Also there were no significant changes in lipid profile between two groups. In this study, it is considered that real time communication digital photography method using Kakao Talk application in smart-phone might influence weight control through a trained consumption monitoring. Therefore, smart-phone can lead individuals to rely more heavily on easy-to-monitor visual cues.

Research on optimal safety ship-route based on artificial intelligence analysis using marine environment prediction (해양환경 예측정보를 활용한 인공지능 분석 기반의 최적 안전항로 연구)

  • Dae-yaoung Eeom;Bang-hee Lee
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.100-103
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    • 2023
  • Recently, development of maritime autonomoust surface ships and eco-friendly ships, production and evaluation research considering various marine environments is needed in the field of optimal routes as the demand for accurate and detailed real-time marine environment prediction information expands. An algorithm that can calculate the optimal route while reducing the risk of the marine environment and uncertainty in energy consumption in smart ships was developed in 2 stages. In the first stage, a profile was created by combining marine environmental information with ship location and status information within the Automatic Ship Identification System(AIS). In the second stage, a model was developed that could define the marine environment energy map using the configured profile results, A regression equation was generated by applying Random Forest among machine learning techniques to reflect about 600,000 data. The Random Forest coefficient of determination (R2) was 0.89, showing very high reliability. The Dijikstra shortest path algorithm was applied to the marine environment prediction at June 1 to 3, 2021, and to calculate the optimal safety route and express it on the map. The route calculated by the random forest regression model was streamlined, and the route was derived considering the state of the marine environment prediction information. The concept of route calculation based on real-time marine environment prediction information in this study is expected to be able to calculate a realistic and safe route that reflects the movement tendency of ships, and to be expanded to a range of economic, safety, and eco-friendliness evaluation models in the future.

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