• KIEAE Journal
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• 제11권4호
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• pp.71-78
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• 2011

The goal of this study is to analyze the impact of load factors on building energy consumption by using EnergyPlus program. We selected a campus building and monitored energy consumption from January 2009 to November 2010. First, we simulated energy consumption basically with weather data, building heat gain and EHP performance data. And then we simulated energy consumption with three additional parameter(infiltration, OA control and schedule). Simulation results are verified by MBE and Cv(RMSE) proposed by M&V guideline 3.0. Simulated total energy consumption was 104.3% of measurements, 4.33% of MBE, and 13.62% of Cv(RMSE). Results show infiltration and schedule were revealed as the most dominant factor of heating energy consumption and of cooling energy consumption, respectively.

• 대한건축학회논문집:구조계
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• 제34권7호
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• pp.27-34
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• 2018

The energy consumption of apartment houses is affected by various factors. The criteria for assessing current energy usage are area, region and purpose. The purpose of this study is to obtain the reliability of the method of evaluating the existing energy consumption certificate and to derive usable evaluation factors according to the correlation of factors affecting energy consumption. The research process collects energy usage data for apartment houses in Daegu and calculates statistical results through correlation analysis and multiple regression analysis. As a result, it was found that the power energy is influenced by the yearly factor of physical characteristics, and the heat energy and total energy usage are influenced by the energy source which is energy characteristic factor.

• 한국태양에너지학회 논문집
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• 제34권6호
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• pp.93-102
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• 2014

The aim of this study is to analyze the influence of various factors on energy consumption of apartment buildings. Energy consumption data of the Green Together, integrated building energy management system maintained by the government were used, and end-use and primary energy consumption data of 2012 were analyzed for 181 apartment complexes completed between 2004 and 2011 in Seoul. Energy consumption by use, source and heating type were analyzed. Then, energy consumption trends were analyzed and suggested according to energy efficiency ratings, number of households, areas for exclusive use, number of floors, core types, building types, orientations and completion years.

• 한국태양에너지학회 논문집
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• 제34권5호
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• pp.117-126
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• 2014

This study developed a KRESS program designed to find the optimization ratio for new and renewable energy systems and analyze the effects of building energy consumption characteristics on the ratio. In spite of clear differences in predicted energy consumption and energy consumption by the loads among 18 facilities, the current formula for obligatory supply ratios applies a correction coefficient according to the building purposes based on energy consumption per each unit area in medical facilities and thus reflects no energy consumption characteristics according to the building purposes. The optimization ratio for new and renewable energy systems was the same for all facilities when the correction coefficients by the building purposes and new and renewable energy sources were all applied. When the correction coefficients were not applied, however, the optimization ratio varied according to building energy consumption characteristics. The findings raise a need to test the correction coefficients in order to select new and renewable energy systems that take into account energy consumption characteristics by the building purposes and loads and reflect economy, environmental performance, and technology.

• 한국농공학회논문집
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• 제50권4호
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• pp.99-109
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• 2008

As the price of traditional fossil fuels continue to increase, more people attach importance to the pollution of the environment caused by fossil fuel's burning, developing and using renewable energy resources has become a very important project all over the world. Also, the rural energy planning which is another method to improve energy utilization ratio and reduce environment pollution, is also regarded as a very effective way to reduce the energy consumption. There is a quantity of renewable energy resources and natural tribes in rural area, which is both feasible to develop the renewable energy and the regional energy planning. To carry out this, it is needs to know the area's quantity of renewable energy resources and the total energy consumption. This paper is to find out the relationship between rural energy consumption and rural conditions, and to found a energy consumption model which can conjecture the energy consumption in rural family. and the cost of rural family's energy consumption was founded to conjecture how much money dose it cost in rural family's energy consumption. The energy consumption model was concluded using the surveys of 76 families in 14 villages at the area of Chungcheongbuk-Do(province). The main factors to energy consumption was selected out which were number of family members, acreage of house, acreage of farmland and family's annual income.

• KIEAE Journal
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• 제16권2호
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• pp.23-31
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• 2016

Purpose: Recently energy consumption is rapidly increasing due to continuous development of social evolution in various field. In this situation, there is a lot of effort to reduce this energy consumption in many ways, especially in building energy. Preceding studies already started to analyze the housing area such as zero energy house and passive house by researching annual building energy consumption, but to apply the results of housing to office building is insufficient since it has different consumption tendency. Method: In this study, eQuest program was used for simulation and the base model is selected among standard office building in ASHRAE 90.1. Variables are divided into passive and active factors for comparison. Result: In passive factors, glazing system showed the highest energy saving rate by 21.3% with triple low-e glass and enhancing wall u-value showed the lowest energy saving rate by 3.6% with 0.15 m2/K. In active factors, VAV system showed 30.9% energy saving rate when compared to CAV system, and heat exchanger showed 10.2% energy saving rate. For regeneration energy part, photovoltaic panel generated 10.4% of base annual energy usage.

• 한국태양에너지학회 논문집
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• 제31권3호
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• pp.67-72
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• 2011

The aim of this study is to evaluate how much would the building energy consumption be saved by applying DSSC BIPV window which is possible to control the transmittance and express the color in the office building. For this, physical characteristics such as transmittance and reflectance, U-factor of DSSC areanalyzed and an annual energy consumption that is connected to dimming control is calculated when DSSC BIPV window is applied by alternate clear window system. As a result, It is possible to reduce the anannual energy consumption as much as4.1% by just change the clear double window system to DSSC BIPV double window system because the major factor to reduce energy consumption in the office that has much cooling load than other building is SHGC. When the thermal insulation properties of DSSC BIPV window with low-e coating and making triple window are improved, energy saving ratio is about 9%. Plus, energy saving ratio of 25~28% in lighting energy consumption is possible when the dimming control system with DSSC BIPV window is adopt.

• 조명전기설비학회논문지
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• 제16권6호
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• pp.74-79
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• 2002

계속되는 경제 성장과 고도 정보화 사회의 진전으로 전기에너지의 소비는 급격히 증가하고 있다. 특히 업무용 빌딩과 같은 전력다소비 건물에서는 전력의 효율적 이용에 의한 에너지절감은 물론 설계 단계에서의 합리적인 전기설비 설계가 요청되고 있다. 현재 우리나라의 기후 특성과 전력소비 특성을 고려한 합리적인 전기설비 설계를 위한 기초 자료가 매우 미흡한 실정이다. 본 연구는 업무용 빌딩의 전력소비특성을 조사하여 변전시설용량의 합리적 설계를 위한 수용률/부등률 적용 기준을 제시하고, 합리적 전기설비 설계를 유도하고자 한다.

• 자원ㆍ환경경제연구
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• 제31권4호
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• pp.825-848
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• 2022

이 논문은 국내 제조업부문의 에너지소비 증가 요인을 LMDI(Log mean divisia index) 분해 분석방법을 이용하여 분석하였다. 1999년부터 2019년까지 20년간의 에너지소비 변화를 분석하였다. LMDI 분해 분석방법 중 에너지소비 증가량을 분석한 가법적 요인분해 분석과 에너지소비 증가율을 분석한 승법적 요인분해 분석 모두를 사용하였다. 분석결과, 국내 제조업의 에너지소비를 증가시킨 요인은 생산효과이며, 구조효과와 집약도 효과는 에너지소비를 감소시키는 요인으로 나타났다. 특히 구조효과에 의한 에너지소비 감소가 집약도 효과에 의한 에너지소비 효과보다 더 크게 나타났다. 시기별로 보면, 2011년까지는 에너지소비가 생산효과에 의해 급속히 증가한 반면 그 이후에는 생산효과에 의한 에너지소비 증가가 둔화된 것을 알 수 있다. 이에 반해 그 이후에는 구조효과와 집약도효과에 의한 에너지 감소효과가 두드러지고 있는데 이는 2011년부터 실시된 온실가스·에너지목표관리제와 2015년 이후 실시된 배출권거래제의 효과가 나타난 결과로 보인다. 향후 제조업부문의 에너지절약을 위해서는 EMS(Energy management system), FEMS(Factory energy management system) 등을 통한 에너지진단과 관리가 더욱 필요해 보인다. 아울러 에너지저소비형 산업으로의 구조조정도 더 필요해 보인다.

• International Journal of Air-Conditioning and Refrigeration
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• 제6권
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• pp.1-13
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• 1998

The basic heat transfer process that occurs in a building can best be illustrated by an electrical circuit network. Present paper reports the dynamic simulation of annual energy consumption in an office building by the thermal resistance capacitance network method. Unsteady thermal behaviors and annual energy consumption in an office building were examined in detail by solving the simultaneous circuit equations of thermal network. The results are used to evaluate the accuracy of the modified BIN method for the energy consumption analysis of a large building. Present thermal resistance-capacitance method predicts annual energy consumption of an office building with the same accuracy as that of response factor method. However, the modified BIN method gives 15% lower annual heating load and 25% lower cooling load than those from the present method. Equipment annual energy consumptions for fan, boiler and chiller in the HVAC system are also calculated for various control systems as CAV, VAV, FCU+VAV and FCU+CAV. FCU+CAV system appears to consume minimum annual energy among them.