• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.687-694
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• 2006

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.30-35
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• 2008

This paper describes a fault detection and diagnosis (FDD) system developed for the heat source apparatus in building air-conditioning system. As HVAC&R systems in building become complex and instrumented with highly automated controllers, the processes and systems get more difficult for the operator to understand and detect the mal-functions. Poorly maintained, degraded, and improperly controlled equipment wastes an estimated 15% to 30% of energy used in commercial building. When operating a complex facility, FDD system is beneficial in equipment management to provide the operator with tools which can help in decision making for recovery from a failure of the system. Automated FDD for HVAC&R system has the potential to reduce energy and maintenance costs and improves comfort and reliability. Over the last decade there has been considerable research for developing FDD system for HVAC&R equipment. However, they are being made too much of a theoretical study, so only a small of FDD methods are deployed in the field. This study deduced an actual defect source for the heat source apparatus and suggested a low price FDD method which is ready to be deployed in the field.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1996.04a
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• pp.132-135
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• 1996

This study is to develop an ammonia based chemical heat pump(STELF) for a freezing and refrigeration system coupled to gas, fuel and/or waste from industrial processes as heat sources. Recently it has been continually taking a growing interest in chemical heat pumps without electric power and having higher COP's than those of existing compression type refrigeration systems using freon. By introducing STELF technology, efficient heat recovery utilizing enormous amount of waste heat in energy consuming large scale industries or building for their own refrigeration purposes is possible. Moreover, air-conditioning systems coupled to city gas for small scale industries or building can be realized. Therefore, STELF technology can contribute much for overall energy savings and efficient energy management.

• Korean Journal of Construction Engineering and Management
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• v.12 no.5
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• pp.137-145
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• 2011

BIM Data exchange using standard format can provide a user friendly and practical way of integrating the BIM tools in the life cycle of a building on the currently construction industry which is participated various stakeholder. It used IFC format to exchange the BIM data from Design software to energy analysis software. However, since we can not use the material name data in the library of an energy analysis directly, it is necessary to input the material property data for building energy analysis. In this paper, to matching the material named of name of DOE-2 default library, rhe extracted material names from BIM file are inferred by the ontology With this we can make the reliable input data of the engine by development a standard data and also increase the efficient of building energy analysis process. The methodology can enable to provide a direction of BIM-based information management system as a conceptual study of using ontology in the construction industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6368-6375
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• 2015

The goal of this research is to identify the energy planning techniques of Smart Green City and to establish the realized plan through the analysis of Multi-functional Administrative City. For the research, eighteen planning techniques were derived and categorized into three sectors and six basic direction through literature review and Brain-storming analysis considering correlation between three goals of Smart Green City and expectation of planning technique. And Multi-functional Administrative City was analyzed for the current status of application of planning techniques focus on two application aspects. In conclusion, 'Establishing Integrated Management Center for Urban Energy', 'Building Energy Management System', 'Building Automation System', 'Green Transport System', 'Intelligent Transport System', 'Introduction of Eco-friendly Transportation' planning techniques in reduction of building energy consumption sector and green-intelligent transport system sector were identified as important techniques for Smart Green City.

• Journal of the Korean Solar Energy Society
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• v.28 no.3
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• pp.15-20
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• 2008

Building-integrated photovoltaics(BIPV) are increasingly incorporated into new domestic and industrial buildings as a principal or ancillary source of electrical power, and are one of the fastest growing segments of the photovoltaic industry. This paper presents design, operational features analysis, and PCS(Power Conditioning System) of grid-connected 30kW BIPV set up on the library of Dongshin University. For a sustainable photovoltaics system in this area, the data of the BIPV system are collected and analyzed by monitoring system using LabView. PCS of the grid-connected BIPV system, also, is designed for optimal operation with characteristics suggested in this paper.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.207-212
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• 2020

The human centric lighting (HCL) control is a major focus point of the smart lighting system design to provide energy efficient and people mood rhythmic motivation lighting in smart buildings. This paper proposes the HCL control using indoor surveillance camera to improve the human motivation and well-beings in the indoor environments like residential and industrial buildings. In this proposed approach, the indoor surveillance camera video streams are used to predict the day lights and occupancy, occupancy specific emotional features predictions using the advanced computer vision techniques, and this human centric features are transmitted to the smart building light management system. The smart building light management system connected with internet of things (IoT) featured lighting devices and controls the light illumination of the objective human specific lighting devices. The proposed concept experimental model implemented using RGB LED lighting devices connected with IoT features open-source controller in the network along with networked video surveillance solution. The experiment results are verified with custom made automatic lighting control demon application integrated with OpenCV framework based computer vision methods to predict the human centric features and based on the estimated features the lighting illumination level and colors are controlled automatically. The experiment results received from the demon system are analyzed and used for the real-time development of a lighting system control strategy.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.3
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• pp.157-163
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• 2019

K-BEMS System was introduced to reduce peak load and to save total energy of the 120 buildings that KEPCO headquarter and branch offices use. K-BEMS system is composed of PV, battery, and hybrid PCS. In this system, ESS, PV, lighting is used to save building energy based on demand prediction. Currently, neural network technique for short past data is applied to demand prediction, and fixed scheduling method by operator for ESS charging/discharging is used. To enhance this system, KEPCO research institute has carried out this K-BEMS research project for 3 years since January 2016. As the result of this project, we developed new real-time highly reliable building demand prediction technique with error free and optimized automatic ESS charging/discharging technique. Through several field test, we can certify the developed algorithm performance successfully. So we will describe the details in this paper.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.975-979
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• 1988

This paper summarizes economic considerations for building automation. While the market for energy management systems(EMS) has been exploding, there are many indications that the pendulum of hight expectations may have swung too far. This is a very important reason for energy management system in both existing and new buildings. Because facilities continue to expand in size and their operations grow more complex, the use of automated systems to control and monitor both programmable and nonprogrammed function becomes an economic necessity. The following is offered as engineerings of economic consideration for building automation systems. Not only get a complete return on investment but increase profits in a few years through savings incurred in labor, utilities fuel and extended equipment life.

• Journal of the Korean Solar Energy Society
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• v.34 no.6
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• pp.93-102
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• 2014

The aim of this study is to analyze the influence of various factors on energy consumption of apartment buildings. Energy consumption data of the Green Together, integrated building energy management system maintained by the government were used, and end-use and primary energy consumption data of 2012 were analyzed for 181 apartment complexes completed between 2004 and 2011 in Seoul. Energy consumption by use, source and heating type were analyzed. Then, energy consumption trends were analyzed and suggested according to energy efficiency ratings, number of households, areas for exclusive use, number of floors, core types, building types, orientations and completion years.