• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2014.10a
• /
• pp.39-41
• /
• 2014

최근 유가인상, 운임하락, 온실가스규제 등의 복합적인 요인으로 선박의 운항 효율 관리를 위한 직 간접적인 방법이 개발되고 있으며, 실제로 이를 지원하는 시스템의 탑재사례가 늘고 있다. 본 논문에서는 이러한 경제운항지원시스템들 중에서 실시간 기상정보와 그에 기초한 선박의 부가저항을 고려한 최적의 추천경로를 제공하는 최적 항로 지원 시스템에 대해 기술하고자 한다. 본 시스템은 주어진 ETA (Estimated Time of Arrival) 범위 내에서, 기상예보를 바탕으로 연비관점에서의 최적의 경로 및 엔진출력을 제안하며, 추천경로 및 실제운항경로 사이의 효율비교와 함께 항해정보분석까지 가능한 것을 특징으로 한다. 이러한 시스템은 선박의 연료절감과 함께 운항경로 전반에 대한 포괄적인 이해에 도움을 줄 것으로 기대한다.

• Proceedings of the KIEE Conference
• /
• 2015.07a
• /
• pp.35-36
• /
• 2015

21세기 들어 지구온난화 현상이 심각해지면서 세계 각국의 온실가스 감축 노력이 추진되고 있다. 특히, 2005년 2월에 공식 발효한 교통의정서(Kyoto Protocol)에서 온실가스 배출에 실질적인 책임이 있는 38개 선진국을 대상으로, 2012년까지 1990년의 온실가스 배출량 대비 평균 5.2%의 감축을 의무화 한 것이다. 한국 정부 또한 2009년 11월 온실 가스 감축목표를 2020년 배출전망치(BAU : Business As Usual) 대비 30%로 결정하고 저탄소 녹색성장기본법에 명시하는 등 국제적 감축 행렬에 동참하였다. 한국 정부는 2009년 12월부터 2013년 5월까지 42개월간 제주도에서 스마트그리드 실증사업을 시행하였다. 본 논문에서는 제주 실증단지에서 개발된 기술을 이용하여 건물단위 에너지 통합관리를 할 수 있는 시스템으로서 스마트그리드 스테이션을 개발하여 현장에 적용하였고 이를 활용한 확산방안을 제시하고자 한다.

• Journal of Bio-Environment Control
• /
• v.24 no.4
• /
• pp.317-325
• /
• 2015

This paper attempts to present a review about simulation of different greenhouse parameters and energy supplying techniques by using building energy simulation, to find out the optimal solution for keeping greenhouse microclimate favorable for the crop production. The objectives of conducting this study were, to describe the various energy systems and techniques used for the greenhouse energy management and efficiency analysis of these technologies by using building energy simulation. We describe different models to understand the behavior of the energy saving technologies with respect to the resources available and different outside climatic conditions. We identified main features of the building energy simulation software, that enable users, to simulate hybrid agricultural building projects by using user defined parameters. At the end of the paper we draw some important concluding remarks on the basis of reviewing all the investigators contributions for the developments of simulation model of agricultural greenhouse energy management, using a building energy simulation software specifically TRNSYS. In conclusion, this paper provides information that TRNSYS have great potential for agricultural buildings energy simulation along with the renewable energy resources and energy saving techniques. This review paper provides aid to greenhouse researcher and energy planner for the future studies of greenhouses energy planning.

• Journal of Energy Engineering
• /
• v.25 no.1
• /
• pp.131-144
• /
• 2016

Damage occur frequently around the world on climate change and the main cause of greenhouse gas emissions regulation is growing. To this end, the government has built integrated management system for national building energy. The building energy information is total 6.8 million complex. Integrated management system for national building energy database are matched building registers information and energy information of the supply agencies. However, the matching process has its limitations so advanced work is in progress continuously. This study analyzed integrated management system for national building energy database quality and limitations and deduce improvement plan to increase system reliability and availability. The existing database matching average rate is 85.6%. 58.2% of the total non-matching data type has no building information. To ensure the ease of new database matching and the accuracy of the existing database matching, address standarization and building properties system are needed between building information and energy information. Also, The system construction is required to include information on other energy sources like petroleum energy which has high proportion of non-urban areas and small residential areas and renewable energy which has high potential in development and utilization.

• Journal of Bio-Environment Control
• /
• v.31 no.3
• /
• pp.152-162
• /
• 2022

This study developed simulation model for predicting the greenhouse interior environment using artificial intelligence machine learning techniques. Various methods have been studied to predict the internal environment of the greenhouse system. But the traditional simulation analysis method has a problem of low precision due to extraneous variables. In order to solve this problem, we developed a model for predicting the temperature inside the greenhouse using machine learning. Machine learning models are developed through data collection, characteristic analysis, and learning, and the accuracy of the model varies greatly depending on parameters and learning methods. Therefore, an optimal model derivation method according to data characteristics is required. As a result of the model development, the model accuracy increased as the parameters of the hidden unit increased. Optimal model was derived from the GRU algorithm and hidden unit 6 (r² = 0.9848 and RMSE = 0.5857℃). Through this study, it was confirmed that it is possible to develop a predictive model for the temperature inside the greenhouse using data outside the greenhouse. In addition, it was confirmed that application and comparative analysis were necessary for various greenhouse data. It is necessary that research for development environmental control system by improving the developed model to the forecasting stage.

• Journal of Korean Society for Geospatial Information Science
• /
• v.22 no.1
• /
• pp.55-62
• /
• 2014

Diverse improvement projects such as replacing street lamps with LED, street trees, etc are currently in progress in Korea to reduce greenhouse gas so as to cope with change in climate. However, the effect of climate change policy is not exactly analyzed, because exhaust quantity and absorption quantity of greenhouse gas of the target street lamp and street trees are not arranged as information. Thus, this study studied the method to systematically manage low carbon related information of urban facilities by using GIS. It was found that low carbon information of the urban facilities is necessary to exactly analyze effect of climate change policy and the method to calculate carbon exhaust quantity and absorption quantity of each facilities should be established to build exact low carbon information of urban facilities. Further, it was found that the visualization of information related to low carbon of street lamp and street trees by using GIS easily and visually grasps and systematically controls the effect of policy coping with change in climate than the existing numeral data of exhaust quantity and absorption quantity of greenhouse gas.

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.4
• /
• pp.78-88
• /
• 2012

As worldwide efforts to reduce global warming gases, the construction Industry is endeavoring to diminish carbon dioxides emissions. Especially, by introducing the LCA methodology to the industry, A variety of related studies to measure the emission of carbon dioxides have been conducted. However, when the conventional LCA methodology is applied to the construction projects, some limitations have been reported. To overcome the restrictions derived from the industry characteristics, this research suggested the Activity-based LCA model by applying the Activity-based Costing (ABC), which breaks down the whole life cycles into more detailed stages. By implementing the newly developed model, forecasting accuracy of $CO_2$ emission was elevated, and the critical control points on carbon dioxides were established. Through the case study of aluminium curtain-wall system, this research verified the usefulness of the Activity-based LCA.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.5
• /
• pp.193-199
• /
• 2015

Recently the artificial intelligence green house system, which collects automatically the informations of plants cultivation circumstances and controls the growing circumstances, is studied using temperature, humidity and illuminance sensors. In this paper, the inference for plants cultivation of optimum circumstance conditions is simulated on the internet bases by predicting the temperature, humidity and illuminance. On the IOT circumstances, the plant cultivation conditions of temperature, humidity and illuminance, using Arduino sensor, are transmitted to the manager on realtime and if the optimum condition of temperature and humidity for plant cultivation is not equal to the values, the system transmits automatically the SMS warning messages on realtime. Although the sudden climite conditions(snow, rain, hot weather) are occurred, the optimum condition of plant cultivation can be controlled. In this paper, using Fuzzy rules and WEKA TOOL, although the same flora temperature zone is used, the simulation is produced for the optimum value of temperature, humidity and illuminance for the zone.

• Proceedings of the KAIS Fall Conference
• /
• 2007.11a
• /
• pp.181-184
• /
• 2007

본 논문에서는 수경재배의 비중이 늘어난 만큼 새로운 친환경 저자 정밀 급액관리의 개발이 시급함을 언급하고 현재의 한계를 극복 할 수 있는 배액 제어법을 개발 하고자 한다. 급액관리 임베디드 시스템은 정확한 시간 제어, 일사량 제어 전자 방식으로서 수동식 배액 제어법의 문제점을 해결할 수 있으며 뿐만 아니라 사용자가 온실의 없을 경우에도 급액관리를 할 수 있도록 web기반으로 구현하여 편의를 도모하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2010.06d
• /
• pp.397-401
• /
• 2010

IT 기기들의 보급 확대 및 정보량의 급증으로 인한 에너지 소비와 온실가스 배출량이 지속적으로 증가하고 있다. 이러한 증가로 인해 지구 온난화가 가속되고 있는 시점에서 탄소 배출의 효율적인 관리가 필수적인 요건으로 대두되고 있다. 이러한 배경을 바탕으로 본 논문에서는 전력시설물의 직접적인 전력사용량 뿐만 아니라 전력시설물을 유지하기 위해 필요한 제반시설물을 효율적으로 관리하기 위한 스마트 탄소 미터링 시스템의 하드웨어 시스템에 대해 알아보고자 한다.