• Journal of Energy Engineering
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• v.22 no.2
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• pp.211-225
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• 2013

To run an optimal operation of Integrated energy supply facilities, we need to analyze heat consumption patterns of District heating users and derive optimum and maximum load ratio of heat production facilities unit. This study selects three District heat production facilities. It also classifies District heating users into residential apartment buildings and eight non-residential buildings and analyzes heat consumption results for an year. Finally it carries out the analysis of how the ratio change of each type affects maximum load ratio, facility utilization ratio, heat supply range. According to this study, three different District heat facilities of residential apartment building show similar daily and annual heat consumption patterns. Annual average load ratio, maximum load ratio and annual heat demand increase as outdoor temperatures decrease. Non-residential buildings in urban District focused on apartment buildings display similar by the daily and annual heat consumption patterns. Yet their daily and annual maximum load ratio differ according to outdoor temperature, District, building types and their composition ratio. In the case of urban District focused on apartment buildings reach optimum and maximum load ratio when apartment buildings reaches 60-70% of the total. At that point heat supply range becomes maximized and the most economic efficiency is obtained.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.19 no.1
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• pp.68-76
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• 2007

As an alternative approach to evaluate the unit heating load for apartment houses, we newly developed and proposed unit building method. The new method, which calculates the heating load of an apartment building as a whole, conceptually corresponds to integral analysis of building heat loss, while the existing unit apartment method to differential analysis. Four typical building models of Korean-style apartment house and two dynamic load calculation programs were selected to validate the present method under realistically imposed conditions. Eight sets of unit heating load calculated respectively by unit building and unit apartment methods showed excellent agreements regardless of building model and simulation program. It is expected that the unit building method can take the place of the unit apartment method due to fewer modeling assumptions as well as less computational efforts. Additional calculations to investigate the effects of various parameters on unit heating load yield good consistencies with known facts, and re-confirm the validity.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.803-832
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• 2007

Electricity and heat load profiles by use types on an hourly basis at the least are essential for assessing economic viability of new cogeneration and CES projects and for optimally operating existing cogeneration and CES facilities. We adopt a multilevel model to specify heat load profiles so as to utilize in a flexible manner the panel nature of our data on weather and heating/cooling use. Converting the multilevel model to the linear mixed-effects model, we estimate the model by panel FGLS. The estimated load profile model for each distinct use type accounts for the effects of temperature, humidity, each hour over the year, each day of the week, each type of legal holidays, and heating/cooling area on energy use. To save space, we feature in detail the heating profile of the household.

• Proceedings of the KAIS Fall Conference
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• 2012.05b
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• pp.575-578
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• 2012

단일창호를 적용한 KNU 식물공장 모델의 냉난방 에너지 부하를 DesignBuilder를 이용하여 해석하였다. 상추의 적정생육온도인 $20^{\circ}C$를 기준으로 이중창호를 적용한 경우와 에너지 소모량을 비교 분석하였다. 단일창호가 이중창호에 비해 연간 냉방부하는 약 128 MWh 감소하고 난방부하는 약 26 MWh 증가하여 단일창호가 냉방부하저감에 유리하다고 판단된다. KNU 식물공장의 중앙에 위치한 공간의 상부를 지붕구조물로 닫거나 계절별로 개폐하면서 냉난방부하에 미치는 영향을 계산하였다. 지붕구조물을 설치하게 되면 단위유닛이 취득하는 태양열이 감소하여 냉방부하가 감소하게 된다. 또한 지붕구조물을 상시 닫아두는 것이 계절별로 여닫는 것보다 냉방부하 저감에 유리하다. 식물공장 측면벽에 overhang과 sidefin을 설치하면 차양효과로 냉방부하가 감소하지만 감소비율은 크지 않았다. 에너지 부하의 대부분을 차지하는 냉방부하를 낮추기 위해 구조물이나 차양을 설치할 수 있으나 절감효과에 비해 설치비가 증가할 수 있기 때문에 추가 경제성 연구가 필요하다.

• Proceedings of the SAREK Conference
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• 2004.11a
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• pp.53-53
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• 2004

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.97-104
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• 2010

This study evaluated the energy efficiency of a windows system using built-in blinds, with regard to their insulation performance and their blocking of solar radiation. The study took advantage of the "Physibel Voltra" program as a physical simulation of heat transfer. To simulate the "Physibel Voltra" program, I practiced a mock-up test to determine heating quality and translation condition. I analyzed the propensity to annual energy consumption, the annual quantity of heat transfer, and the annual cooling and heating cost through a computer simulation for one general household in an apartment building. In the test, it was found that compared to a general windows system, a windows system with built-in blinds reduced the annual heat transfer by 10% in cooling states and by 11% in heating states when the blind was up. When the blind was down, the windows system with built-in blinds reduced the annual heat transfer by 25% in cooling states and 30% in heating states. When a windows system with built-in blinds is compared with a general windows system, the quantity of cooling and heating loads is reduced by 283.3kw in cooling states and 76.3kw in heating states. This leads to a reduction in the required cooling and heating energy of 359.6kw per house. It is thus judged that the use of a windows system with built-in blinds is advantageous in terms of reducing greenhouse gas emissions, because the annual TOE (tons of oil equivalent) per house is reduced by 0.078TOE, while $tCO_2$ is reduced by $0.16tCO_2$. In addition, compared with a general windows system, the cost of cooling and heating loads in the system reduces the annual cooling cost by 100,000won, and the annual heating cost by 50,000won. Ultimately, this means that cooling and heating loads are cut by 150,000won per year.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.193-193
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• 2011

현재까지 대부분의 지열원 열펌프 시스템에 관한 연구는 열펌프 유닛과 지중열교환기에 대해 개별적으로 수행되었으며, 열펌프 유닛과 지중열교환기 설계 및 최적화의 공통변수인 지중순환수 유량에 따른 시스템 전체에 대한 연구성과는 매우 미미한 실정이다. 본 연구에서는 현재 국내에서 인증되어 보급되고 있는 물매물 지열원 열펌프 유닛의 성능 자료를 분석하고, 지중순환수 유량 변화에 따른 물대물 열펌프 유닛의 성능 실험 및 지중열교환기 형상에 관한 설계 및 분석을 수행하여 지열원 열펌프 시스템 최적화에 관한 기반 기술 확보하고자 하였다. 현재 국내의 물대물 지열원 열펌프 유닛의 냉방 및 난방 조건에서의 최소 인증 COP는 각각 4.1과 3.45이다. 다양한 용량 및 성능을 갖는 국내 인증 물대물 지열원 열펌프 유닛에 대한 정량적 성능 분석을 위하여 3.5kW(1RT) 용량당의 지중순환수 유량과 COP를 고찰하였다. 냉방운전시 3.5kW 단위 용량당 열펌프 유닛의 지중순환수 유량은 10.73에서 18.52LPM을 나타냈으며, 난방운전에는 10.41에서 18.16LPM을 나타냈다. 이때, 냉방 COP는 4.1에서 5.4의 값을 나타냈으며, 난방 COP는 각각 3.5에서 4.2를 나타냈다. 인증 열펌프 유닛에서 지중순환수 유량과 열펌프 유닛의 냉난방 성능은 일정한 경향성을 나타내지 않았다. 지중순환수 유량에 따른 지열원 열펌프 유닛과 시스템의 성능을 정량적으로 분석하고자 지중순환수 유량 변화에 따른 물대물 지열원 열펌프 유닛 성능 실험을 수행하고 이를 기반으로 지중열교환기를 설계 및 분석하였다. 냉난방 각 운전모드에서 ISO 13256-2 규격과 NRGT 101 규격을 기준으로 지중순환수와 부하측 유량 6LPM 에서 36LPM 사이에서 변화시키며 성능 실험을 수행하였다. 냉방 및 난방모드 모두 유량이 증가함에 따라 열펌프 유닛 COP가 증가하였으나, 유량 증가에 따른 열펌프 유닛 COP 증가율은 감소하였다. 지중순환수 유량이 18LPM 이상에서는 COP 상승폭은 미소하였다. 기존문헌의 부하 산정자료와 열펌프 유닛 실험 성능 데이터를 이용하여 지식경제부 고시 2009-332호에 준하여 수직밀폐형 지중열교환기를 설계하고 순환펌프 소요동력을 이용하여 시스템 COP를 분석하였다. 지중열교환기 설계 시 국내에서 가장 많이 사용되고 있는 상용지중열교환기 설계프로그램인 GLD 프로그램을 사용하였다. 지중순환수와 부하측 2차 유체 유량 증가 시에 열펌프 유닛 COP 증가율 대비 시스템 COP 증가율은 감소하였으며, 난방모드에서는 일정 유량 이상에서는 열펌프 유닛 COP는 증가하였으나, 시스템 COP는 감소하였다. 또한, 지중순환수 유량 증가에 따라 지중열교환기 길이가 증가하였으며, 냉난방시의 지중열교환기 길이차이가 증가하였다. 지열원 열펌프 시스템의 고효율화 및 시공비 절감을 통한 경제성 확보를 위해서는 지열원 열펌프 유닛 성능과 지중열교환기 형상 공통 변수인 지중순환수 유량을 함께 고려하여 시스템을 설계하여야한다.

• Journal of Bio-Environment Control
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• v.25 no.3
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• pp.218-223
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• 2016

The calculation method of ground heat exchange in greenhouses has different ideas in each design standard, so there is a big difference in each method according to the size of greenhouses, it is necessary to establish a more accurate method that can be applied to the domestic. In order to provide basic data for the formulation of the calculation method of greenhouse heating load, we measured the soil temperature distribution and the soil heat flux in three plastic greenhouses of different size and location during the heating period. And then the calculation methods of ground heat exchange in greenhouses were reviewed. The soil temperature distributions measured in the heating greenhouse were compared with the indoor air temperature, the results showed that soil temperatures were higher than room temperature in the central part of greenhouse, and soil temperatures were lower than room temperature in the side edge of greenhouse. Therefore, it is determined that the ground heat gain in the central part of greenhouse and the perimeter heat loss in the side edge of greenhouse are occurred, there is a difference depending on the size of greenhouse. Introducing the concept of heat loss through the perimeter of building and modified to reflect the size of greenhouse, the calculation method of ground heat exchange in greenhouses is considered appropriate. It was confirmed that the floor heat loss measured by using soil heat flux sensors increased linearly in proportion to the temperature difference between indoor and outdoor. We derived the reference temperature difference which change the direction of ground heat flow and the perimeter heat loss factor from the measured heat flux results. In the heating design of domestic greenhouses, reference temperature differences are proposed to apply $12.5{\sim}15^{\circ}C$ in small greenhouses and around $10^{\circ}C$ in large greenhouses. Perimeter heat loss factors are proposed to apply $2.5{\sim}5.0W{\cdot}m^{-1}{\cdot}K^{-1}$ in small greenhouses and $7.5{\sim}10W{\cdot}m^{-1}{\cdot}K^{-1}$ in large greenhouses as design standard data.

• Journal of Bio-Environment Control
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• v.8 no.2
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• pp.136-146
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• 1999

A series of experiments were carried out in winter to investigate the indoor thermal environment in greenhouses with different kinds of heating systems, and characterize the energy consumption, heat transport and thermal energy efficiency of each system. By the Quantitative calculation of heat losses which transmit through the covers of greenhouse, the fundamental data of energy-saving of the particular heating system were obtained. And from the analysis of air temperature differences between indoor and outside, it was possible to select more effective energy-saving and comfortable heating system in greenhouses. The electric heater was more stable in thermal environment and cheaper in cost, since it could be used during the surplus time of electric power from 10：00 p.M. to 8：00 A.M. But the low air temperature in greenhouses besides these times resulted in a chilling problem of the crops. The heating system by hot air had the advantage to show nearly uniform temperature difference by the height above the ground. But the system had the disadvantage to require more energy consumption than the electric heating system.

• Journal of the Korean Solar Energy Society
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• v.30 no.4
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• pp.22-28
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• 2010

This study analyzed the performance of passive solar system for office building. A unit model of the passive solar system was proposed in order to predict its performance under varying parameters and Seoul weather date. Steady state heat transfer equations were set up using a energy balanced equations and solved using a inverse matrix method. Numerical simulation program to analyze system was developed by using MATLAB. As the results, the passive solar system performance of office building was determined by the insolation and the outdoor air temperature. Also the passive solar system indicate 6.7~16.2% of annual average efficiency. In the comparison with other systems of the conventional wall, mass wall could reduce the heating loads of 7.1% and trombe wall could reduce heating loads of 11.5%. Through this study, performance of passive solar system for office building was verified by numerical method. Consequently, the passive solar system could operate an important role as the alternative for saving energy consumption of office building, and the additional studies should be made through the experimental method for the commercialization.