• 한국태양에너지학회 논문집
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• 제38권2호
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• pp.55-66
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• 2018

South Korea aims to shift the 20 percent of electricity supplement from the fossil fuel including the nuclear to renewable energy systems by 2030. In order to realize this agenda in the buildings, the plus energy house is necessary to increase the renewable energy supplement beyond the zero energy house. This paper suggested KePSH (KIER Energy-Plus Solar House) and energy performance of house and renewable energy systems was investigated. The KePSH has the target of generating 40% surplus energy than the conventional house energy consumption. The plus energy house is the house that generates surplus energy from the renewable energy sources than that consumes. In order to minimize the cooling and heating load of the house, the shape design and passive parameters design were conducted. Based on the experimental data of the plug load in the typical house, the total energy consumption of the house was estimated. This paper also suggested renewable energy sources integrated HVAC system using air-source heat pump system. Two cases of renewable energy system integration methods were suggested, and energy performance of the cases was investigated using TRNSYS 17 program. The results showed that the BIPV (building integrated photovoltaic) system (i.e., CASE 1) and BIPV and BIST system (i.e., CASE 2) shows 42% and 29% of plus energy rate, respectivey. Also, CASE 1 can generate 59% more surplus energy compared with the CASE 2 under the same installation area.

• Journal of the Korean Wood Science and Technology
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• 제44권5호
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• pp.655-663
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• 2016

최근, 전 세계적으로 온실 가스 증가에 따른 기후 변화에 대한 문제가 논의되고 있다. 그중, 건축물에서의 에너지 소비량은 전체 에너지 소비량의 40%까지 증가할 것으로 예상된다. 따라서 건축물에서의 에너지 소비량 절감에 대한 노력이 필요한 실정이다. 본 연구에서는, 건물에너지 절감에 효과적으로 기여하는 재료 중 하나인 목재를 이용하여, 목질 제품 구성에 따른 중부지방과 남부지방의 난방에너지 요구량에 대하여 시뮬레이션을 통해 분석하였다. 시뮬레이션 도구는 미국 에너지부(Department of Energy)가 BLAST와 DOE-2의 장점을 결합해 만든 동적 에너지 해석 엔진인 EnergyPlus를 이용하였다. EnergyPlus는 다양한 건물 및 HVAC 시스템 구성요소(Object)에 대한 입력항목(Field)을 가지고 있으며, 특히 건물, 공조시스템, 열원기기 사이의 피드백을 통해 통합된 동시계산을 수행하며, ASHRAE Standard 140-2007 표준에 따라 상용 프로그램 간의 비교를 통해 검증된 프로그램이다. 시뮬레이션을 위한 기상데이터는 EnergyPlus에서 제공하는 IWEC 인천 지역과 광주 지역의 epw 형식 기상데이터를 이용하였다. 대상 모델은 한국농어촌공사에서 제시한 2012년 농 어촌주택 표준설계도면 중 '농림-12-26-가' 유형을 이용하였으며 총 10개의 실로 구성되어 있다. 시뮬레이션 분석 결과, 중부지방과 남부지방 별 목질 제품의 적용 범위를 실내마감재, 실외마감재, 창호, 목구조로 단계적으로 변경해 지역에 따라 각각 16 Case의 시뮬레이션을 수행한 결과 실내외의 마감재로 목재를 사용한 것만으로도 에너지 성능이 향상된 것을 확인할 수 있었다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2007년도 동계학술발표대회 논문집
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• pp.155-160
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• 2007

This study describes thermal performance of Plus50 eco-building with new technology such as power window system, green wall, structure material, etc. The Plus50 eco-building is house experimental which is constructed by Korea Institute of Construction Technology. In order to estimate thermal performance of the building, TRNSYS program and Prebid, and its sub-modules are used. The results showed that maximum heating and cooling load in the building are calculated at 1st floor and 4th floor, respectively. And also energy saving of the building is calculated as over 30% compared to conventional apartment house.

• 설비공학논문집
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• 제29권12호
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• pp.638-644
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• 2017

Optimal cooling operation algorithm was developed based on a simulation case of a single family house model equipped with renewable energy facility. EnergyPlus simulation results were used as virtual test data. The model contained three energy storage elements: thermal heat capacity of the living room, chilled water storage tank, and battery. Their charging and discharging schedules were optimized so that daily electricity bill became minimal. As an optimization tool, linear programming was considered because it was possible to obtain results in real time. For its adoption, EnergyPlus-based house model had to be linearly approximated. Results of this study revealed that dynamic cooling load of the living room could be approximated by a linear RC model. Scheduling based on the linear programming was then compared to that by a nonlinear optimization algorithm which was made using GenOpt developed by a national lab in USA. They showed quite similar performances. Therefore, linear programming can be a practical solution to optimal operation scheduling if linear dynamic models are tuned to simulate their real equivalents with reasonable accuracy.

• 한국산학기술학회논문지
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• 제14권4호
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• pp.1540-1547
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• 2013

국가 에너지 소비의 25%를 차지하는 건물에너지의 저감과 귀농인구의 증가에 따른 저에너지 친환경 주택모델의 수요 충족을 위해 EnergyPlus를 사용하여 PV 시스템이 적용된 농어촌 주택 표준모델의 건물에너지요구량을 기반으로 경제성 분석을 하였다. 2가지 타입의 PV 시스템이 적용되었고 발전된 전력을 건물의 냉방기기와 전기기기, 그리고 난방기기에 사용하였다. 계산에 사용된 주택의 연간 건물에너지요구량은 난방이 냉방에 비해 7배 크게 나타났다. Case1과 Case2로 나누어 PV 시스템의 경제성분석을 실시한 결과, Case1은 냉난방 및 전기기기에 발전된 전력을 사용하고 판매하는 것이, Case2는 냉방과 전기기기에만 전력을 사용하고 전량 판매하는 것이 경제적으로 유리한 것으로 판단된다. 하지만, 향후 전력 판매가격과 가스가격이 변동되면 결과는 달라질 수 있다. 초기투자비용은 Case1이 약 13년, Case2는 약 11년이 지나면 회수되는 것으로 나타났다. Case2가 초기설치비용이 비싸지만 회수기간이 지나면 Case1보다 약 3배 더 많은 이익을 얻을 수 있어 수명연한인 25년 이상 사용 시 경제성 측면에서 유리할 것으로 판단된다.

• KIEAE Journal
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• 제15권4호
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• pp.77-84
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• 2015

Purpose: In 2008, As the green growth policy was presented, Green Building is made any effort to propagation. In this paper, the respective technologies that are able to considerably reduce the energy demands for heating, cooling, hot-water, lighting and ventilation among the variety of technologies were selected. Method: Design factors such as (1) External insulation, (2) Triple glazing window, (3) LED lighting, (4) External venetian blind, (5) Geothermal and (6) Heat recovery ventilator were derived. In addition, energy saving effects in terms of energy demand, energy consumption and energy cost were investigated using EnergyPlus, building energy analysis tool. Result : The results were as follows. (1) It can be seen that high insulated triple glazing window, heat recovery ventilator and external insulation technology is excellent for energy demand. (2) Unlike energy demand, saving effect of energy consumption and energy cost was shown in order of Geothermal > Triple Window > Heat recovery Ventilation> Insulation> LED Lighting > EVB Blind.

• 설비공학논문집
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• 제28권10호
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• pp.381-386
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• 2016

An optimization algorithm is developed based on a simulation case of a single family house model equipped with PV arrays. To increase the nationwide use of PV power generation facilities, a market-competitive electricity price needs to be introduced, which is determined based on the time of use. In this study, quadratic programming optimization was applied to minimize the electricity bill while maintaining the indoor temperature within allowable error bounds. For optimization, it is assumed that the weather and electricity demand are predicted. An EnergyPlus-based house model was approximated by using an equivalent RC circuit model for application as a linear constraint to the optimization. Based on the RC model, model predictive control was applied to the management of the cooling load and electricity for the first week of August. The result shows that more than 25% of electricity consumed for cooling can be saved by allowing excursions of temperature error within an affordable range. In addition, profit can be made by reselling electricity to the main grid energy supplier during peak hours.

• 동력기계공학회지
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• 제20권4호
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• pp.63-68
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• 2016

In this study, through portion of the blind control which the user can adjust the deration and the main loads, night for energy reduction during the review of the energy difference between the cooling and heating load periods in order to present the best operation schedules of the blind control. The result, Cooling period, the venetian blind is installed the day or the day and night CASE adjusted to $0^{\circ}$ was identified as optimal for the operating schedule. Heating period, the day, without installed the blinds, the Venetian blind is installed only at night CASE adjusted to $0^{\circ}$ or $45^{\circ}$ angle of the slats, which have been identified as optimal for the operating schedule.

• 동력기계공학회지
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• 제19권2호
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• pp.78-83
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• 2015

In Korea, multi-housing in one of the most common types of residential space due to its easy management and convenience. In particular, south-facing plate-type(一) multi-housing has attracted a great deal of public interest because it consumes less energy compared with other types of multi-housing, making it advantageous from an energy-saving perspective. Although there have been many studies on the annual energy consumption of multi-housing in relation to building shape and area of window, there have not been sufficient research on the annual energy consumption of multi-housing in relation to individual units of the multi-housing. The purpose of this study is to propose a strategy for reducing energy consumption in plate-type(一) multi-housing, taking the units with the lowest energy consumption as the standard. The result, Standard Models's energy load was as 4000 ~ 5600kWh, and Passive Houses's energy load was less than Stand Models at the 1600kWh.

• 태양에너지
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• 제10권2호
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• pp.10-17
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• 1990

건물의 사양으로부터 시뮬레이션에 의해 열성능을 추출하는 기법과 실측 데이타로 부터 연역적인 방법에 의해 열성능을 추출하는 기법을 연합시켜 단기간의 측정에 의해 건물의 열성능을 간단하고 정확하게 결정할 수 있는 기법을 Test cell에 적용하였다. 실험과정 및 자료분석은 PSTAR 기법에 따라 수행했다. 각 측정기간은 3일간으로 비거주 상태에서 측정했으며, 실내온도, 외기온, 일사량, 공급열량, 풍속, 상대습도등의 자료를 측정하여 건물의 사양에 의한 시뮬레이션 모델의 재표준화에 사용했다. 아래의 3개 주요계수들이 본 분석에 의해 얻어졌다. 1) 건물 열손실계수 : BLC(표면전도율+침기에 의한 전도율); 2) 유효 건물열용량; 3) 유효 태양열 획득량. 그리고 재표준화된 식으로부터 예측된 값과 건물의 사양으로 시뮬레이션에 의해 예측된 값과 측정된 값과의 비교를 통해 재표준화된 식이 실제건물의 열성능을 잘 묘사함을 알 수 있었다. 장기간의 외삽으로 기후 자료를 이용하여 표준 쾌적도를 유지하기 위해 필요한 에너지를 계산했다.