• Advances in Energy Research
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• 제3권1호
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• pp.11-30
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• 2015

The covenant of Mayors initiative includes the commitment of the municipalities-signatories to reduce voluntarily the greenhouse gas emissions over 20--- by 2020 within their boundaries and obligates them to develop and submit an energy consumption analysis and a sustainable energy action plan within a year from the adhesion. The present paper discusses the energy profile of three medium-sized north-eastern Greek Municipalities (Kavala-MoK, Alexandroupolis-MoA, Drama-MoD) through the analysis of their municipal energy balance. The results of the total final energy consumption per capita include 14.10MWh/capita, 14.24MWh/capita and 12.91MWh/capita for MoK, MoA and MoD respectively. The analysis highlighted the increased energy consumption of the private sectors, namely residential and tertiary building sand private transport. The assessment of the municipalities' energy profiles along with examination of national regulations and action plans and investigation of best available practices within the Covenant of Mayors shaped the development of the sustainable energy action plans of the examined municipalities that is presented in this paper. The proposed pathway towards low-carbon municipalities can be considered a representative case study and a starting point for other municipalities with similar characteristics.

• 시스템엔지니어링학술지
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• 제13권2호
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• pp.26-33
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• 2017

Pyro project, one of complex project, is now under research and development. To manage this kind project successfully, it is essential to apply the processes of technical management (TM) based on systems engineering (SE) and project management (PM). In this paper, the project management processes from ISO-21500 standard, PMBOK guide, and PRINCE2 guide were reviewed, and then some common PM for the large national R&D project were selected. An integrated technical management and project management frame work was finally established and suggested for Pyro project.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 추계 학술논문 발표대회
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• pp.159-160
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• 2011

Recently there are many efforts for saving energy in building. therefore Building energy management systems(BEMS) are expected to a reduction energy cost. BEMS has many benefits which could switch plant on and off automatically. Also It optimize plan operation and services, monitor plant status and environmental conditions and to provide energy analysis and management information. In these days, many public buildings are applied BEMS but there are few studies about application of small or medium buildings. Therefore, in this study, we will find how to apply BEMS in small or medium buildings.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.723-727
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• 2015

Building energy use estimation relies on building characteristics, its energy systems, occupants, and weather. Energy estimation of new buildings is considerably an easy task when compared to modeling existing buildings as they require calibration with actual data. Particularly, when energy estimation of existing building stock is warranted at a city-scale, the problem is exacerbated owing to lack of construction drawings and other engineering specifications. However, as collection of buildings and other infrastructure constitute cities, such predictions are a necessary component of developing and maintaining sustainable cities. This paper uses Artificial Neural Network techniques to predict electricity consumption for residential buildings situated in the City of Gainesville, Florida. With the use of 32,813 samples of data vectors that comprise of building floor area, built year, number of stories, and range of monthly energy consumption, this paper extends the prediction to environmental impact assessment of electricity usage at the urban-scale. Among others, one of the applications of the proposed model discussed in this paper is the study of urban scale Life Cycle Assessment, and other decisions related to creating sustainable cities.

• 전기학회논문지
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• 제63권8호
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• pp.1025-1032
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• 2014

The effective energy management method will provide the significant advantage to the residential customers under real time pricing plan since it can reduce the electricity charge by controlling the energy consumption according to electricity rate. The earlier studies for load management mainly aim to minimize the electricity charges and peak power but put a less emphasis on the human comfort dwelling in the residence. The discomfort and displeasure from the energy management only focusing on reduction of electricity charge will make the residential customer reluctant to enroll the real time pricing plan. In this paper, therefore, we propose optimal load control strategy which aim to achieve not only minimizing the electricity charges but also maintaining human comfort by introducing "the human comfort coefficient." Using the human comfort coefficient, the energy management system can reflect the various human personality and control the loads within the range that the human comfort is maintained. Simulation results show that proposed load control strategy leads to significant reduction in the electricity charges and peak power in comparison with the conventional load management method.

• 조명전기설비학회논문지
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• 제28권10호
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• pp.69-74
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• 2014

With the increasing interest of energy efficiency, several buildings and factories begin to monitor energy usages with a built-in energy management system. However, the built-in energy monitoring system does not reflect the dynamics of buildings and factories energy usage. To overcome the latter, we deploy several sensors to monitor the dynamics of buildings energy usage patterns. In this paper, we are proposing a framework of a sensor based energy monitoring system. Based on our limited experiments, we can monitor power usages by a person, device and time period. As a result, we can plan a better energy usage and improve energy efficiency by the monitored energy usage profile data.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2010년도 춘계학술대회
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• pp.81-82
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• 2010

전 세계적 경제성장 및 신흥경제국 수요 증가로 에너지 수급 불균형 및 기존 화석연료 과다사용으로 온실가스 배출량도 급격히 증가함에 따라 글로벌 에너지 및 자원 고갈의 위기가 심화되고 있다. 이에 따라 주변 생활환경 개선 및 자연 생태 보존 등을 통해 쾌적한 삶에 대한 요구 충족을 위한 에너지 관리 및 소비의 중요성이 대두되고 있다. 건축분야에서도 에너지 절감에 대한 많은 대책과 연구를 진행하고 있으며 친환경 건축의 에너지 등급과 저에너지 검증을 위해 초기단계부터 에너지 성능분석을 검증할 수 있는 BIM(Building Information Model) 기술 개발 및 상용화를 통해 건물의 에너지 성능을 객관적으로 예측하는 기술을 활용하여 기존건축물에서의 에너지 성능 분석 및 BIM 기반 친환경 건축 프로세스의 가능성을 제시했다. 따라서 본 연구에서는 BIM을 이용한 기존건축물의 에너지 성능 분석을 통해 객관적인 데이터를 수집하고 이를 지도화 하여 에너지 관리의 효율적인 소비 및 관리방안에 대해 연구하고자 한다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.276-284
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• 2009

As an on-going research project, Zero Net Energy Test Home (ZNETH) project investigates effective approaches to achieve whole-house environmental and energy goals. The main research objectives are (1) to identify energy saving solutions for designs, materials, and construction methods for the ZNETH house and (2) to verify whether ZNETH house can produce more energy than the house uses by utilizing Building Information Modeling (BIM) and energy analysis tools. The initial project analysis is conducted using building information modeling (BIM) and energy analysis tools. The BIM-driven research approach incorporates architectural and construction engineering methods for improving whole-building performance while minimizing increases in overall building cost. This paper discusses about advantages/disadvantages of using BIM integrated energy analysis, related interoperability issues between BIM software and energy analysis software, and results of energy analysis for ZNETH. Although this investigation is in its early stage, several dramatic outcomes have already been observed. Utilizing BIM for energy analysis is an obvious benefit because of the ease by which the 3D model is transferred, and the speed that an energy model can be analyzed and interpreted to improve design. The research will continue to use the ZNETH project as a testing bed for the integration of sustainable design into the BIM process.

• 한국경영과학회지
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• 제4권2호
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• pp.35-39
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• 1979

In order to recommend future national policy directions on energy supply and consumption and to suggest energy technological priorities to be developed, comprehensive energy models have been developed through this study in a sense of strategic and systematic approach. The “energy input-output model” has been formulated to analyze the mutual impacts between energy consumption patterns and industrial structures and to calculate energy intensities of industrial sectors. The long-term energy demands to the year 2000 were forecasted by using multi-regressional method and the optimal energy flow balances for five-year interval have been studied by using the “energy linear programming model” being took full account of interfuel substitutability and technology.

• 전기학회논문지
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• 제59권3호
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• pp.515-524
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• 2010

Recently, many actions are taking to accelerate progress toward social consensus and implementation of Smart Grid. Smart Grid refers to a evolution of the electricity supply infrastructure that monitors, protects, and intelligently optimize the operation of the interconnected elements including various type of generators, power grid, building/home automation system and end-use consumers. The most distinguished element will be Advanced Metering Infrastructure (AMI) that will be installed to every end-use consumer's home or building and optimize the energy consumption of the end-use consumer. The key function of AMI is energy management capability that coordinates and optimally controls the various loads according to the operating condition and environments. In this study, we figure out the basic function of AMI in Smart Energy House that can be defined as a model house implementing in Smart Grid. This paper proposes the energy management algorithm that will be implemented in AMI at Smart Energy House. The paper also show how energy saving in Smart Energy House can be achieved applying the proposed algorithm to an actual house model that has mainly lighting, air-conditioning, TV loads.