• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.135-136
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• 2012

The purpose of this study is to analysis of counter strategy of greenhouse gas·energy target management system for the construction firm. For this purpose, the greenhouse gas·energy target management system of other industries was investigated. The selection possibility that is construction firm to be managed company was analyzed. In addition, status of counter strategy on the greenhouse gas·energy target management system were investigated and analyzed about 5 domestic major construction firm via questionnaire and interview. As a result, the counter strategy by organization and annual for the greenhouse gas·energy target management system was drawn.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.11a
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• pp.161-175
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• 2000

This study includes the fundamental planning of the sectoral management technology in energy distribution system so that the industry itself would be willing to participate for the effective energy conservation in its own sector. Furthermore guidlines for the effective energy management techniques have been presented by first analyzing the energy consumption structures, the energy loss problems, the energy conservation status and the technology demands, and second classifying, according to the energy distribution system, the energy source management, the energy generation & conversion facilities, the energy transportation ＆ storage facilities, the energy consumming facilities and the waste energy management, etc. in the industrial sector.

• Journal of the Korean Solar Energy Society
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• v.26 no.2
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• pp.43-51
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• 2006

New renewable energy information becomes one of the greatest issues all over the world because of serious environment problems and limited fossil resources. The new renewable energy source information system is treated seriously for efficient management and distribution as dealing with these energy problems. However, it is difficult to manage and utilize new renewable energy information because gathering and surveying information is progressed individually in each research field. Therefore this paper will establish ISP(Information Strategy Planning) and propose the basic management system based-on GIS to analyze new renewable energy such as solar energy, wind power, small hydro, biomass, geothermal etc. and build the integration management system. The proposed integration management system can provide spatial analysis using thematic map, data search, data import/export and interpolation about users' queries.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.299-305
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• 2015

Global environmental concerns and the ever increasing need of energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Distributed electricity generation is a suitable option for sustainable development thanks to the load management benefits and the opportunity to provide electricity to remote areas. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to the random and intermittent nature of solar source, PV plants require the adoption of an energy storage and management system to compensate fluctuations and to meet the energy demand during night hours. This paper presents an efficient, economic and technical model for the design of a MPPT based grid connected PV with battery storage and management system. This system satisfies the energy demand through the PV based battery energy storage system. The aim is to present PV-BES system design and management strategy to maximize the system performance and economic profitability. PV-BES (photovoltaic based battery energy storage) system is operated in different modes to verify the system feasibility. In case of excess energy (mode 1), Li-ion batteries are charged using CC-CV mechanism effectively controlled by fuzzy logic based PID control system whereas during the time of insufficient power from PV system (mode 2), batteries are used as backup to compensate the power shortage at load and likewise other modes for different scenarios. This operational mode change in PV-BES system is implemented by State flow chart technique based on SOC, DC bus voltages and solar Irradiance. Performance of the proposed PV-BES system is verified by some simulations study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.1
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• pp.131-139
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• 2018

Many ship researches have been carried out in connection with the fourth revolution, one of which focuses on EMS(energy management system). The EMS is referred to as systems for managing the energy of ships and include various systems. In this paper, we analyze the energy saving field in ship and propose a ship power energy management system including individual load control systems that can save energy in the engine room. EMS includes individual load control systems of PCS (Pump Control System), ERFCS (Engine Room Fan Control System), LCS (Load Control System), HVACS (Heating, Ventilation, Air conditioning Control System). Proposed EMS primarily conserves energy in the individual load systems of the engine room. Secondly, the integrated monitoring and control system is used to control the power generation system and the power load system to save energy.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.6
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• pp.66-72
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• 2012

The main sources of energy consumption in warehouses are MHE(Material Handling Equipment), HVAC(Heating, Ventilating and Air Conditioning) and Lighting. Warehouses in advanced countries raise energy efficiencies with energy consumption diagnosis, technology development and systematic management and improvements for MHE, HVAC and Illuminating, etc. They have managed illuminating system, air conditioning, motor driven system, air circulation method, dock facility, layout, AS/RS, conveyor system and battery management, etc. Ansong Pyeongtaek area investigation resulted that 43.9[%] of enterprises are managing partly energy consumption source. But the data resulted with not substantial management of energy consumption but passive management for only electric bill curtailment. Therefore through survey research & visiting interviews of some companies in Ansong Pyeongtaek area, we understood the status of energy consumption source management and proposed energy efficiency methods on the basis of that results.

• Journal of Navigation and Port Research
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• v.34 no.9
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• pp.705-709
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• 2010

Buildings nowadays are increasingly expected to need higher and more economic performance requirements. Energy consumption in buildings accounts for over 30% of total energy use. The Building Energy Management System (BEMS) and renewable energy (RE) technologies are considered as a potential measure to improve energy efficiency and reduce use of grid-power. It is, however, a challenge to utilise the intermittent energy supply of RE in building energy systems. This paper presents an experimental study on a RE-embedded BEMS. A control algorithm for the RE-embedded BEMS was designed to maximise the utilisation of RE and eventually to reduce electrical utility bill. The proposed system is tested at a laboratorial chamber with an air conditioner, fan and heater. The contribution of RE in building energy system is discussed to this end.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.27-37
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• 2011

Presented in this study is a top-down functional modeling procedure and the desired functionalities of energy management system (EMS). For the purpose of top-down modeling for EMS, energy management system is categorized into 7 subsystems based on common functionalities and energy management life cycle. After that, benchmarking analysis of commercially major EMS products is conducted. As a result of this analysis, desired functionalities of each subsystem of EMS are suggested in this study. This study is served as a useful guidance about essential functional requirements of energy management system to the practitioners involved in the development or introduction of EMS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2676-2689
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• 2013

Due to increased consumption of energy in the building environment, the building energy management systems (BEMS) solution has been developed to achieve energy saving and efficiency. However, because of the shortage of building energy management specialists and incompatibility among the energy management systems of different vendors, the BEMS solution can only be applied to limited buildings individually. To solve these problems, we propose a building cluster based remote energy monitoring and management (EMM) system and its functionalities and roles of each sub-system to simultaneously manage the energy problems of several buildings. We also introduce a novel energy demand forecasting algorithm by using past energy consumption data. Extensive performance evaluation study shows that the proposed regression based energy demand forecasting model is well fitted to the actual energy consumption model, and it also outperforms the artificial neural network (ANN) based forecasting model.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.10
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• pp.51-57
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• 2016

In this paper, we propose an optimal energy management system using the data inference scheme and the cloud hosting technique in order to improve the efficiency of the energy management. We have been interested in the issue that the energy-saving and efficient management techniques are very useful for reducing the production and supply of energy. The energy management system refers to the control and management system in order to enable the efficient use of energy and also to maintain a comfortable and functional working environment effectively with the help of a computer. The proposed system controls a variety of equipment for energy management, and also gets the data for the inference from the changes in energy consumption environment, which is implemented to enable efficient energy management by adapting and controlling the changes optimally in the working environment. In order to evaluate the performance of the implemented system, some experiments have been performed under consideration of the monthly electric power consumption on the server that the inference engine is operating for the target facilities. Finally, the results show that the proposed system has a good performance.