• Title/Summary/Keyword: Metering data

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Review on Data Acquisition of Renewable Power Generators (신재생발전기의 데이터 취득방안에 대한 고찰)

  • Lee, Bong-Kil;Kim, Wan-Hong;Choi, Joon-Ho
    • Journal of the Korean Solar Energy Society
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    • v.40 no.3
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    • pp.1-20
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    • 2020
  • In accordance with the Government's policy, renewable power generation is expanding very largely. This leads to increasing uncertainty in the power market and power system owing to the intermittent and fluctuating output characteristics of renewable power generators. Data on the acquisition of renewable power generators can be largely classified according to the operation of the power market and power system. Data on the settlement for the payment for the power amount are acquired in the power market, and real-time data for monitoring the status and output of the generators are acquired in the power system. However, renewable power generators operating in the power market have different acquisition cycles depending on the method of communication of the power meter. They acquire data only for settlement purposes and have no real-time data, which requires improvement. In this paper, the acquisition status is reviewed by classifying the data of renewable power generators into settlement and real-time data. In addition, measures and acquisition criteria for real-time data of renewable power generators for improving the acquisition method are proposed.

The Propose of Optimal Flow Data Acquisition by Error Rate Analysis of Flow Data (유량 데이터 오차율 분석을 통한 최적의 유량데이터 취득방안 제안)

  • Kim, Yunha;Choi, Hyunju
    • Journal of Korean Society of Water and Wastewater
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    • v.31 no.3
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    • pp.249-256
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    • 2017
  • Recently, application areas based on M2M (Machine-to-Machine communications) and IoT (Internet of Things) technologies are expanding rapidly. Accordingly, water flow and water quality management improvements are being pursued by applying this technology to water and sewage facilities. Especially, water management will collect and store accurate data based on various ICT technologies, and then will expand its service range to remote meter-reading service using smart metering system. For this, the error in flow rate data transmitting should be minimized to obtain credibility on related additional service system such as real time water flow rate analysis and billing. In this study, we have identified the structural problems in transmitting process and protocol to minimize errors in flow rate data transmission and its handling process which is essential to water supply pipeline management. The result confirmed that data acquisition via communication system is better than via analogue current values and pulse, and for communication method case, applying the industrial standard protocol is better for minimizing errors during data acquisition versus applying user assigned method.

A proposal of total energy operating system development using spatial information visualization and energy monitoring - Case study on design of total operation system in Sejong city - (건물 에너지 모니터링과 공간정보 시각화를 이용한 에너지 통합 운영시스템 개발 방안 제안 - 세종시 첫마을 공공건물을 대상으로 한 시스템 구축 사례 -)

  • Kwon, KeeJung;Lee, DongHwan;Cha, KiChun;Park, SeungHee
    • Journal of KIBIM
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    • v.4 no.1
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    • pp.8-12
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    • 2014
  • This research and project is going on the Korean government. The objective of project is that developing total energy management solution. So, this paper is going to introduce a proposal that energy total operating system development using spatial information visualization and energy monitoring. It could efficiently operate the building energy wirelessly controling cooling/heating, lighting, air-conditioning and geothermal system. The metering data is collected to total database. The data is linked to BAS gateway, which is connected the device by the standard protocol.

Enhancing Security Gaps in Smart Grid Communication

  • Lee, Sang-Hyun;Jeong, Heon;Moon, Kyung-Il
    • International Journal of Advanced Culture Technology
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    • v.2 no.2
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    • pp.7-10
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    • 2014
  • In order to develop smart grid communications infrastructure, a high level of interconnectivity and reliability among its nodes is required. Sensors, advanced metering devices, electrical appliances, and monitoring devices, just to mention a few, will be highly interconnected allowing for the seamless flow of data. Reliability and security in this flow of data between nodes is crucial due to the low latency and cyber-attacks resilience requirements of the Smart Grid. In particular, Artificial Intelligence techniques such as Fuzzy Logic, Bayesian Inference, Neural Networks, and other methods can be employed to enhance the security gaps in conventional IDSs. A distributed FPGA-based network with adaptive and cooperative capabilities can be used to study several security and communication aspects of the smart grid infrastructure both from the attackers and defensive point of view. In this paper, the vital issue of security in the smart grid is discussed, along with a possible approach to achieve this by employing FPGA based Radial Basis Function (RBF) network intrusion.

Machine to Machine Commerce(M2M Commerce) in the New Era of Network Convergence

  • Gauba, Mike
    • Information and Communications Magazine
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    • v.20 no.11
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    • pp.1550-1559
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    • 2003
  • The convergence of fixed and wireless networks in data communication is providing the necessary driver for M2M commerce to take-off. The opportunities provided by M2M Commerce areonly limited by imagination. Automotive Fleet and Freight, Tolling, Water and Power Metering, Supply Chain Management including Asset Management, Remote Monitoring and Diagnostics, Energy Management and Access Control and Security are among the many M2M applications that are currently getting rolled out. ARC Group expects the worldwide solutions market to be worth in excess of US$ 100 billion by 2007. In addition, operator revenues worldwide from the transport of Telematics data alone will rise from US$ 3.5 billion in 2002 to US$ 78 billion by 2007. This paper discusses some of the lifestyle and business opportunities provided by M2M Commerce in the new ear of network convergence. It also provides some case studies to demonstrate the benefits of M2M Commerce across the supply chain. The key focus of the paper is on achieving enhanced lifestyle, cost reduction, improved profitability and enhanced customer relationship management through M2M Commerce.

An Identification Method of the Influence of Flow Conditions on the Flow Metering Error (유량측정 오차에 미치는 유동조건의 영 향 검출방법 연구)

  • Lee, K.B.;Choi, H.M.;Paik, J.S.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.3 no.1
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    • pp.34-41
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    • 1991
  • The effect of flow conditions on flow measurement is difficult to identify from the inherent characteristics of the flowmeters and flow standard system. A new experimental approach has been attempted to detect the turbine meter error due to inlet flow conditions. In this try not only the design of the turbine meter package but also the data analysis method was altered. It was found that k factor slope of the turbine meter responds to the change of flow conditions in the test line with higher sensitivity than the degree of the data scattering. The flow standard system of $0.1m^3/s$ was chosen for the investigation. The systematic and random error of the system were less than ${\pm}0.08%$ and ${\pm}0.13%$ respectively.

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A Study on Designing a Real Time Integration Management System of Electric Metering Data (Electric Meter Data의 실시간 통합관리에 대한 연구)

  • KO Jong-Min;Lee Jin-Kee;Kim Sun-Ic;Yu In-Hyeob;Oh Do-Eun;Jang Moon-Jung
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.97-99
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    • 2005
  • 전력산업이 전력회사 중심에서 고객 중심의 비즈니스 서비스로 변함에 따라 고객의 요구 충족을 위한 고기능 전력정보서비스 제공의 필요성이 점차적으로 증대되고 또한 데이터 중심에서 정보, 지식 등 특화된 분석정보 제공은 필수불가결한 요소가 되고 있다. 따라서 효율적 활용과 공용을 전제로 검침데이터에 대한 실시간 처리와 효율적 통합관리기술이 필요하다 하겠다. 본 논문은 전력산업 부가가치를 높일 수 있는 무한한 잠재력을 지닌 전략적 자산으로서 검침데이터에 대한 정확한 처리와 효율적 지원으로 고객서비스의 질을 한 차원 높이는 동기를 마련하는 한편, 검침데이터의 활용과 이용효율성을 극대화하는 방안을 제시하며, 현재 적극적으로 추진되고 있는 전력부가서비스 산업의 활성화에 효과적으로 이용될 것으로 기대한다.

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A Study on Design of Meter Data Management System for Operation of AMI (AMI 운영을 위한 MDMS 설계 연구)

  • Jung, Nam-Joon;Kim, Dong-Wook;Song, Jae-Ju;Chae, Chang-Hun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.208-211
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    • 2012
  • 전력시스템에서 MDMS(Meter Data Management System)는 HAN(Home Area Network)과 Smart Meter, SUN(Smart energy Utility Network)와 같은 AMI(Advanced Metering Infrastructure) 기반 환경에서 수많은 전력 또는 수도 가스 사용량과 같은 데이터를 수집, 취득하고, 이들 데이터를 처리, 가공, 분석하여 가치 있는 정보로 변환시켜, 요금서비스 및 다양한 부가서비스 창출에 활용되는 소프트웨어 인프라이다. 최근 MDMS 개발은 기능의 중요성 뿐만 아니라 다른 응용 시스템들과의 상호 운용성을 고려하여 개발하는 요구 기능을 가진다. 본 논문에서는 스마트그리드 환경에 적합한 AMI의 전력처리시스템(MDMS) 개발을 위한 설계 방안을 기술하였다.

Information and Communication Technologies for Smart Water Grid Applications

  • Ballhysa, Nobel;Choi, Gyewoon;Byeon, Seongjoon
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.218-226
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    • 2019
  • The use of Information and Communication Technologies (ICT) is the key to operate a change from the traditional manual reading of water meters and sensors to an automated system where high frequency data is remotely collected and analyzed in real time, one of the main components of a Smart Water Grid. The recent boom of ICT offers a wide range of both wired and wireless technologies to achieve this objective. We review and present in this article the most widely recognized technologies and protocols along with their respective advantages, drawbacks and applicability range which can be Home Area Network (HAN), Building Area Network (BAN) or Local/Neighborhood Area Network (LAN/NAN). We also present our findings and we give recommendations on the application of ICT in Smart Water Grids and future work needed.

Performance Analysis of Electricity Demand Forecasting by Detail Level of Building Energy Models Based on the Measured Submetering Electricity Data (서브미터링 전력데이터 기반 건물에너지모델의 입력수준별 전력수요 예측 성능분석)

  • Shin, Sang-Yong;Seo, Dong-Hyun
    • Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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    • v.12 no.6
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    • pp.627-640
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    • 2018
  • Submetering electricity consumption data enables more detail input of end use components, such as lighting, plug, HVAC, and occupancy in building energy modeling. However, such an modeling efforts and results are rarely tried and published in terms of the estimation accuracy of electricity demand. In this research, actual submetering data obtained from a university building is analyzed and provided for building energy modeling practice. As alternative modeling cases, conventional modeling method (Case-1), using reference schedule per building usage, and main metering data based modeling method (Case-2) are established. Detail efforts are added to derive prototypical schedules from the metered data by introducing variability index. The simulation results revealed that Case-1 showed the largest error as we can expect. And Case-2 showed comparative error relative to Case-3 in terms of total electricity estimation. But Case-2 showed about two times larger error in CV (RMSE) in lighting energy demand due to lack of End Use consumption information.