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기존 건물 에너지성능 평가의 쟁점들과 균형점 온도의 개념을 이용한 평가방법의 제안
심지수(Jisoo Shim),송두삼(doosam Song) 대한설비공학회 2021 대한설비공학회 학술발표대회논문집 Vol.2021 No.6
Deterioration of building and rebound effect are mentioned as the major cause of re-increasing green house gas emissions in building field. Although, method for assessing building energy performance and analyzing the cause of over-energy consumption is required, existed method is limited to solve the problem. The main goal of this research is to propose quantitative assessment method for building energy performance. Ratio of building energy consumption and degree-day, which is calculated with balance-point temperature, is used for analyzing variable. Since balance-point temperature considers the physical behavior of building, climate, occupancy etc., the variable can used not only for assessment but for analyzing the cause of over-energy consumption. The building energy performance of 272 multi-residential buildings were analyzed by applying proposed method. The results showed 16 % in old buildings showed over-energy consumption by deterioration, and 32.6 % in new buildings are affected by rebound effect.
천공상태에 따른 직산분리 일사량 예측 모델의 국내 적합성 평가
심지수(Jisoo Shim),송두삼(Doo-sam Song) 대한설비공학회 2017 대한설비공학회 학술발표대회논문집 Vol.2017 No.6
For analyzing energy consumption in building sector, the building simulation method is actively used in these days. Among input-data in building simulation, typical weather data is required for simulating external-environment. Direct-diffuse insolation data are needed for producing typical weather data. However, direct-diffuse insolation data are rarely measured in the world, most countries generate the direct-diffuse insolation data with prediction model. In this study, 4 direct-diffuse insolation decomposition models(Perez, Watanabe, Erbs, Reindl-2) are selected for assessing the applicability in domestic 5 regions of sky conditions. MBE, CVRMSE, Adjusted R square and multiple-correlation methods are applied in assessment. Watanabe model and Reindl-2 model show high accuracy among the 4 prediction models. In cloudy(Ad-R:0.67-0.59) and clear (Ad-R:0.45-0.31) sky condition, accuracy showed high. In multiple-correlation method, Watanabe model and Reindl-2 models are analyzed from sky condition. The Watanabe model shows high tendency between error value and meteorological factors (horizontal insolation and solar angle). There is no dominant prediction model from the applicability result. However, Watanabe model showed high applicability in domestic regions with the adjusted regional coefficient according to sky condition.
심지수(Jisoo Shim),송두삼(Doo-sam Song) 대한설비공학회 2019 대한설비공학회 학술발표대회논문집 Vol.2019 No.-
Photovoltaic(PV) energy is a core technology to minimize the use of fossil fuel and CO2 emission. The amount of solar insolation is important to predict the energy production by PV. The intensity of solar insolation is impacted by atmosphere including sky condition, aerosol and particulate matter(PM). Especially, atmospheric particulate matter (PM) has the potential to diminish solar energy production by direct and indirect radiative forcing as well as by being deposited on solar panel surfaces, thereby reducing solar energy transmittance to photovoltaic. High concentration of PM is continued in these days in Korea. The aim of this study is to analyze the relation between solar insolation and PM concentration. In this paper, we will discuss the following: (1) Analysis of the trend of PM concentration and insolation’s variation by long-term measurements, (2) analyzing the relation between PM2.5 concentration and solar insolation, (3) analyzing the relation between PM10 concentration and solar insolation. The analysis is proceeded targeting on winter season(Jan-Mar) when shows the highest PM concentration in a year. The correlation was shown between PM2.5 and horizontal(R=0.3) and direct solar insolation(R=0.57). The direct insolation is decreased when the PM2.5 concentration is over 50 μg/㎥, and horizontal insolation is affected when PM2.5 over 80 μg/㎥. The relation between PM10 and horizontal insolation was R=0.3 and R=0.57 to the direct insolation. When the concentration of PM10 is over 100 μg/㎥, horizontal and direct insolation was considered decreased.
바닥복사난방 특성을 고려한 난방 최적제어 알고리즘 제안
심지수(Jisoo Shim),송두삼(doo-sam Song) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.11
Slow thermal response is a major characteristic of radiant floor heating system(RFH). Because of the characteristic, RFH requires an optimal heating control strategy. In this research, the optimal heating control strategy considering the performance of RFH is proposed. With minimum dataset(indoor temperature, outdoor temperature, time), proposed control strategy can predict the performance of RFH, but also the optimal time to control the heating system. The proposed strategy is verified with simulation. The error was from 0.39(after applying 5 days) to –0.03℃(20 days). The results showed the proposed strategy can well predict the optimal time. The proposed strategy predicts the optimal time by considering performance of RFH with smallest dataset. So, it can be applied every type of the building where radiant floor heating system is installed.
연교차가 큰 국내기후조건에서 독일 패시브하우스 기준의 적용 가능성 분석
심지수(Jisoo Shim),송두삼(Doo-sam Song) 대한설비공학회 2020 대한설비공학회 학술발표대회논문집 Vol.2020 No.6
Passive house is the most popular concept for implementing a low-energy building. Although, domestic climate conditions should be critically considered to realize the genuine meaning of passive house, most of countries use the original passive house standard suggested by German PHI. Climate condition in Korea shows high annual range, it makes lots of problems when applying the original passive house standard in Korea. Currently applied passive house standard is focusing on the reduction of heating energy demand, it can cause overheating and dampness problems in summer season in Korea. In this research, the applicability of the passive house standard for Korean domestic climate conditions is analyzed. The building energy consumption, thermal comfort and condensation or dampness are analyzed.
주거건물의 재실스케줄을 고려한 바닥복사난방 에너지절감 제어논리의 제안 및 실험을 통한 효과 분석
심지수(Jisoo Shim),송두삼(doo-sam Song) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
In this research, the control strategies of the radiant floor heating considering occupancy schedule and the heating mechanism of the radiant heating system are proposed. As an energy saving strategy of the radiant floor heating system, daytime setback control (case 1), nighttime setback control (case 2), day and nighttime setback control (Case 3) were analyzed compared to the continuous heating control (Base case) by measurement. The results showed that the energy saving effect of Case 3, which applied both daytime-setback and nighttime-setback at the same time, was up to 34.3%. However, the thermal comfort of the occupants showed somewhat worse compared to continuous heating (conventional control). The improved heating control strategies will be suggested based on the results of this study.
공동주택 건축물 부위별 성능을 고려한 건물에너지 소요량 변화에 따른 기상요소 영향도 분석
심지수(Jisoo Shim),송두삼(Doo-sam Song) 대한설비공학회 2018 대한설비공학회 학술발표대회논문집 Vol.2018 No.6
A low-energy consumption building is a efficient solution to solve a over-energy consumption situation. To achieve the low-energy consumption building, typical weather data which is used for predicting energy consumption in building energy simulation should be satisfied. Although, the low-energy consumption building is sensitive to outdoor environment, the typical weather data proper to Korean climate regions are provided only for limited regions or unproper data. In this paper, the impact of weather data(typical weather data) on strengthen building elements in apartment houses is analyzed. The research is progressed with two analysis methods. Firstly, the importance of weather data to achieve the low-energy consumption building is mentioned through analyzing the building element’s performance standards in 4 domestic regions. Secondly, a tendency of predicted peak heating load by case is analyzed according to the weather data’s variations. The results show that the impact of weather data on occurring heating energy demand in apartment houses is increased by strengthen the building energy performance. Among the occurred peak heating load, the ratio of heat loss from infiltration rate is relatively increased.