• Title/Summary/Keyword: Green & Smart IT

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Private Information Security in Smart Grid (스마트 그리드의 개인정보보호)

  • Jung, Young-Ha;Parkm, Jung-Kyu;Lee, Keun-Ho
    • Annual Conference of KIPS
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    • 2011.11a
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    • pp.932-934
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    • 2011
  • 최근 국내외적 이슈 가운데 하나인 녹색성장(GreenGrowth)은 지구온난화의 문제로 이산화탄소[CO2) 배출을 줄이기 위한 산업적 노력과 이와 관련된 기술 및 산업을 성장 동력의 기회로 만들자는 취지이다. 스마트그리드의 대상이 국가주요기반시설인 전력망이기 때문에 스마트그리드의 추진에 있어 주요 기반시설보호 등의 보안은 중요한 요소로 고려 될 필요가 있다. 특히 스마트그리드가 다분히 전력기반시설의 발전을 의미하는 것이 아니라 IT, 통신, 전력 등의 여러 기술이 융합된 디지털 사회의 핵심기반시설로써의 의미가 중요하게 고려되어 논의되고 있기 때문에 더욱 그러하다. 이에 본 연구에서는 스마트 그리드의 개인정보보호의 필요성과 스마트 그리드에서 개인정보보호가 어떻게 이루어져야 할지를 생각해보고 향후 연구의 방향을 제시하고자 한다.

Daylighting Performance based Parametric Design focused on the Office Building at the conceptual phase of BIM (설계 초기 단계 BIM 형상정보 파라메트릭 연동을 통한 오피스 실내조도 분석)

  • Park, Jung-Dae;Jo, Chan-Won;Jeon, Min-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.475-481
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    • 2019
  • The importance of performance-based design feedback is being emphasized when it comes to the potential impact that affects all the lifecycle of the building. However, the latency and disconnection of domain expert in the sector of AEC/FM remain current obstacles between design and performance feedback. It is hard to utilize performance feedback information for design exploration and support design decision making during the conceptual phase of design. Using parametric design, this paper proposes various design alternatives from a set of rules and constraints defined by algorithms for the geometric configurations of an Office Building. A Building Performance Analysis (BPA) was to developed using Autodesk® Revit® 2019 which integrates Autodesk® Green Building Studio® to predict its sufficient daylighting conditions of the LEED v4's Daylighting Autonomy (DA). The parametric-based performance feedback of this study outlines potential design improvements for further exploration in application to the early design process.

Development of Pore-filled Polymer Electrolyte Membranes for Flexible Electrochromic Devices (유연한 전기변색 소자를 위한 세공충진 고분자 전해질 멤브레인의 개발)

  • Park, Hyeon-Jung;Lee, Ji-Hyeon;Kang, Moon-Sung
    • Membrane Journal
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    • v.31 no.5
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    • pp.333-342
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    • 2021
  • A flexible electrochromic device (ECD) is a promising technology that is expected to be applied in various fields such as smart windows. Polymer electrolyte is an important component that determines the bleaching-coloration performance and physical stability of flexible ECDs. In this study, a pore-filled polymer electrolyte membrane (PFPEM) with excellent dimensional stability was developed to effectively fabricate flexible ECDs and improve durability. Polyvinyl acetate, which has excellent adhesion, and polyethylene glycol, which can improve ionic conductivity, were filled in the pores of a porous substrate made of polyethylene, which is inexpensive and has excellent physical and chemical stability. The optimal lithium salt (LiTFSI) content of the prepared PFPEM was determined at about 27 wt%, and it was confirmed to possess excellent dimensional stability, adhesive strength, and ion conductivity close to that of conventional polymer electrolytes. Although the visible light transmittance was lowered by the use of the porous substrate, it was expected to act as an advantage in the colored state.

Power Consumption Pattern Analysis of Home Appliances for DC-based Green Smart Home

  • Seo, Gab-Su;Baek, Jong-Bok;Bak, Chul-Woo;Bae, Hyun-Su;Cho, Bo-Hyung
    • Proceedings of the KIPE Conference
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    • 2010.07a
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    • pp.240-241
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    • 2010
  • Research on modification and replacement of conventional AC distribution system to DC distribution system has been widely conducted. When DC system is applied, it is possible to improve energy transferring efficiency because most of the home appliances are electric loads which require DC input voltage. Furthermore, compatibility with renewable energy sources and secondary batteries should be improved as they are DC based power sources. To design energy efficient DC system, it is important to understand the load characteristics of the electric devices. In this paper, the electric appliances are classified to 3 types: motor, heating, and electric loads and their typical power consumptions are shown. Load patterns of load which can be used in analyzing the designed system are modeled according the statistics. Feasibility of the developed load patterns are verified by applying it in distribution system design tool.

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Development of LPWA-Based Farming Environment Data Collection System and Big Data Analysis System (LPWA기반의 임산물 생육환경 수집 및 빅데이터 분석 시스템 개발)

  • Kim, Yu-Bin;Oh, Yeon-Jae;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.695-702
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    • 2020
  • Recently, as research on smart farms has been actively conducted, indoor environment control, such as a green house, has reached a high level. However, In the field of forestry where cultivation is carried out in outdoor, the use of ICT is still insufficient. In this paper, we propose LPWA-based forest growth environment collection and big data analysis system using ICT technology. The proposed system collects and transmits the field cultivation environment data to the server using small solar power generation and LPWA technology based on the oneM2M architecture. The transmitted data is constructed as big data on the server and utilizes it to predict the production and quality of forest products. The proposed system is expected to contribute to the production of low-cost, high-quality crops through the fusion of renewable energy and smart farms. In addition, it can be applied to other industrial fields that utilize the oneM2M architecture and monitoring the growth environment of agricultural crops in the field.

A Study on the Operation & Management of Smart City R&D Testbed Projects (스마트시티 관련 R&D 테스트베드 사업의 운영관리 방향에 관한 연구)

  • Han, Sun-Hee;Lee, Jae-Yong
    • Journal of Digital Convergence
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    • v.15 no.7
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    • pp.13-25
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    • 2017
  • The Korean government is pursuing technological development through nearly every government agency, and Korea's growing R&D spending is yielding good results in many fields. With the country moving from the technology development stage to the demonstration stage, it is actively implementing testbed projects to demonstrate developed technologies and services. This is, however, not without problems. There is no consistent systematic system for the testbed projects because government agencies compete against each other in the planning of execution of R&D: they do not work together. The most serious problem is that both testbeds and developed technologies die out due to poor operation management after the completion of test projects. Research should, therefore, be done on operation management and commercialization. However, the government still does not consider the system after the test: it focuses on building testbeds to verify developed technologies. This study intends to determine the basic orientation of operation management to ensure maximum performance, efficiency, and continuity of national projects through intensive analysis of ongoing national R&D testbed projects and examination of success stories of operation management at home and abroad.

Prediction of Greenhouse Strawberry Production Using Machine Learning Algorithm (머신러닝 알고리즘을 이용한 온실 딸기 생산량 예측)

  • Kim, Na-eun;Han, Hee-sun;Arulmozhi, Elanchezhian;Moon, Byeong-eun;Choi, Yung-Woo;Kim, Hyeon-tae
    • Journal of Bio-Environment Control
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    • v.31 no.1
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    • pp.1-7
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    • 2022
  • Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO2 and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

A Study on the Decision of Appropriate Subsidy Levels Regarding Electric Vehicles for V2G as Load Management Resources (V2G 전기자동차의 부하관리 자원 활용을 위한 적정 지원금 산정에 관한 연구)

  • Kim, Jung-Hoon;Hwang, Sung-Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.2
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    • pp.264-268
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    • 2016
  • Recently, various energy efficiency optimization activities are ongoing globally by integrating conventional grids with ICT (Information and Communication Technology). In this sense, various smart grid projects, which power suppliers and consumers exchange useful informations bilaterally in real time, have been being carried out. The electric vehicle diffusion program is one of the projects and it has been spotlighted because it could resolve green gas problem, fuel economy and tightening environmental regulations. In this paper, the economics of V2G system which consists of electric vehicles and the charging infrastructure is evaluated comparing electric vehicles for V2G with common electric vehicles. Additional benefits of V2G are analyzed in the viewpoint of load leveling, frequency regulation and operation reserve. To find this benefit, electricity sales is modeled mathematically considering depth of discharge, maximum capacity reduction, etc. Benefit and cost analysis methods with the modeling are proposed to decide whether the introduction of V2G systems. Additionally, the methods will contribute to derive the future production and the unit cost of electric vehicle and battery and to get the technical and economic analysis.

Development of 'Children's Food Avatar' Application for Dietary Education (식생활교육용 '어린이 푸드 아바타' 애플리케이션 개발)

  • Cho, Joo-Han;Kim, Sook-Bae;Kim, Soon-Kyung;Kim, Mi-Hyun;Kim, Gap-Soo;Kim, Se-Na;Kim, So-Young;Kim, Jeong-Weon
    • Korean Journal of Community Nutrition
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    • v.18 no.4
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    • pp.299-311
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    • 2013
  • An educational application (App) called 'Children's Food Avatar' was developed in this study by using a food DB of nutrition and functionality from Rural Development Administration (RDA) as a smart-learning mobile device for elementary school students. This App was designed for the development of children's desirable dietary habits through an on-line activity of food choices for a meal from food DB of RDA provided as Green Water Mill guide. A customized avatar system was introduced as an element of fun and interactive animation for children which provides nutritional evaluation of selected foods by changing its appearance, facial look, and speech balloon, and consequently providing chances of correcting their food choices for balanced diet. In addition, nutrition information menu was included in the App to help children understand various nutrients, their function and healthy dietary life. When the App was applied to 54 elementary school students for a week in November, 2012, significant increases in the levels of knowledge, attitude and behavior in their diet were observed compared with those of the control group (p < 0.05, 0.01). Both elementary students and teachers showed high levels of satisfaction ranging from 4.30 to 4.89 for the App, therefore, it could be widely used for the dietary education for elementary school students as a smart-learning device.

Distributed Dynamic Lighting Energy Management System based on Zigbee Mesh Network (지그비 메쉬망 기반 분산형 동적 에너지 관리 시스템)

  • Kim, Sam-Taek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.85-91
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    • 2014
  • Nowadays, Dynamic lighting control and management skills are studied and used. If the system which is to manage multiple intelligent spot applied ubiquitous service technology is built with decision making and used in the complex intelligent space like a apartment then will improve energy efficiency and provide comfortability in optimal conditions. To solve this problem distributed autonomous control middleware and energy management system which process data gathering by zigbee mesh network and search proper services to save energy by the existing state of things is necessary. In paper we designed DDLEMS (Distributed Dynamic Lighting Energy Management System) that is to service duplex communication embedded by software based home server platform to provide mobile services in the smart place and support decision making about energy saving to the best use of wireless censor node and controled network, energy display devices.