• Journal of Climate Change Research
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• v.2 no.4
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• pp.283-295
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• 2011

Many actions against climate change have been taken to reduce greenhouse gases (GHGs) emissions at home and abroad. As of 2007, the GHGs emitted from buildings accounted for about 23 % of Korea's total GHGs emission, which is the second largest GHG reduction potential following industry. In this study, we introduced Carbon Zero Building (CZB), which was constructed by the National Institute of Environmental Research to cut down GHGs from buildings in Korea, and evaluated the main applied technologies, the amount of energy load and reduced energy, and economic values for CZB to provide data that could be a basis in the future construction of this kind of carbon-neutral buildings. A total of 66 technologies were applied for this building in order to achieve carbon zero emissions. Applied technologies include 30 energy consumption reduction technologies, 18 energy efficiency technologies, and 5 eco-friendly technologies. Out of total annual energy load ($123.8kWh/m^2$), about 40% of energy load ($49kWh/m^2$) was reduced by using passive technologies such as super insulation and use of high efficiency equipments and the other 60% ($74.8kWh/m^2$) was reduced by using active technologies such as solar voltaic, solar thermal, and geothermal energy. The construction cost of CZB was 1.4 times higher than ordinary buildings. However, if active technologies are excluded, the construction cost is similar to that of ordinary buildings. It was estimated that we could save annually about 102 million won directly from energy saving and about 2.2 million won indirectly from additional saving by the reduction in GHGs and atmospheric pollutants. In terms of carbon, we could reduce 100 ton of $CO_2$ emissions per year. In our Life Cycle Cost (LCC) analysis, the Break Even Point (BEP) for the additional construction cost was estimated to be around 20.6 years.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.12
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• pp.1105-1112
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• 2013

In this study, a method for predicting heating loads using building characteristic coefficients is proposed for heating system control, and a method for predicting hourly temperature and solar insolation, which mainly affect building heating loads, is also proposed. The temperature and solar insolation are predicted by using a fuzzy theory from forecast information at the meteorological agency, and the building characteristic coefficients for the prediction of heating loads are derived from EnergyPlus. The simulated heating loads of the present study show good agreement with those of EnergyPlus. and the variations of the predicted heating loads using the predicted temperature and solar insolation are similar to those using the actual weather data.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.6
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• pp.77-84
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• 2007

It is increased electrical energy consumption with the development of intelligence society in hospitals and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design demand factor in hospitals, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 32 hospitals and 9 electrical design offices. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried the linear and nonlinear regression analysis.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.43 no.5
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• pp.56-64
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• 2014

• 보일러설비
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• s.66
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• pp.115-116
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• 1999

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.646-651
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• 2015

In this paper, we analyze the architecture of a typical building automation systems and control points in the network architecture, interoperability, and performance aspects. We proposed a new virtualization-based point-to-point automatic control system that is connected to a high speed wired system. Cloud computing based automation system enables the user based environment control, and may perform a building energy management performance through the improvement of the building automation system efficiently In addition, the virtualization system makes it possible to perform the management of the group building load management operators efficiently.

• Journal of Energy Engineering
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• v.25 no.2
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• pp.79-85
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• 2016

This paper presents an advanced energy demand management for buildings. It is important to aggregate a various demand side resource which is controllable on demand response environment. Previous demand side algorithm for building is mostly restricted on single building. In this paper, we suggest energy demand management algorithm for many buildings. And, this paper shows the procedure to apply suggested demand management algorithm.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.17 no.4
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• pp.336-341
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• 1988

바람은 건물 외벽에서의 압력차의 주요인의 하나이다. 바람에 의한 압력차를 정확히 예측할 수 있다는 것은 외벽에 있어서의 풍하중, 건물내로 투입되는 공기양의 설계치 결정, 그리고 건물을 사용하는 거주인의 병리학적 면에서 보다 중요한 것이다. 단열재로 잘 설계된 건물에서는 투입되는 공기에 의한 열부하가 전체 열부하의 30 ~ 50%도 될 수 있으며, 화재시 화염과 연기의 확산에도 중요한 문제이다. 20층 아파트를 사용해서 실물실험을 한 후 측정된 여러가지 값을 예측할 수 있는 방법을 고찰했으며 본 연구에서는 건물에서 바람에 기인되는 압력차를 예측하는 modeling과 Simulation에 있어서의 고찰할 여러가지 재원을 제시했다. 또한 Model을 이용한 실험결과는 Simulation에 있어서 적합한 조건을 충족시키면 풍동을 사용하여 바람에 기인하는 압력차를 예측할 수 있다는 것이 증명되었다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.15 no.12
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• pp.1088-1094
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• 2003

Case study was peformed to analyze energy load for department stores and develop energy load model to be applied to a cogeneration system. Energy loads of 14 departments were analyzed based on energy load sheets written by operators and energy load of one department store was measured through modem communication for a year. Energy load of department stores shows various variations depending on when they are opened or closed and, hours, days and months. In this paper, the measurement was compared with data in energy load sheets and resolved, and energy load model for a department store was built. It is important to use an accurate energy load model for an accurate feasibility study applying a cogeneration system to buildings.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.21 no.10
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• pp.553-558
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• 2009

Energy demand characteristics of hotel, hospital, and office building are compared to provide guidelines for combining building in community energy system design. The annual, monthly, and daily energy demand patterns for electricity, heating, hot water and cooling are qualitatively compared and important features are delineated based on the energy demand models. Key statistical values such as the mean, the maximum are also provided. Important features of the hourly demand patterns are summarized for weekdays and weekends. Substantial variations in both magnitudes and patterns are observed among the 3 building types and smart grouping or combination of building type and size is essential for a successive energy supply.