• KIEAE Journal
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• 제13권4호
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• pp.55-62
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• 2013

Korea Government have carried out various policies to reduce the energy consumption that cause the global warming and environmental pollution. Energy consumption of buildings in Korea has reached 24% of total energy quantities and energy consumption of apartment has been continuously increasing. It has executed the building energy efficiency rating system and energy performance assessments and certification systems have been in force to save energy consumption of buildings. Therefore, this study tried to asset the energy performance of apartment according to the shapes of unit plan, and then to evaluate the energy performance of apartment according to altering balcony area into living area in the unit plan of apartment and thus, to present the effective unit plan to reduce the energy consumption. According to the results, in case of standard unit plan, the 3Bay and 4Bay unit plans showed more effective energy consumption than the 2Bay unit plan, respectively, 5%, 6%, and in case of extended unit plan, respectively, 2%, 5%. Compared the energy efficiencies of the standard unit plan to the extended unit plan, the standard one showed more effective energy consumption than the extended one, respectively, 2% in case of the 2Bay and 4Bay unit, 5% of the 3Bay unit.

• KIEAE Journal
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• 제13권1호
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• pp.57-63
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• 2013

Building Energy Efficiency Rating system was enforced in 2001 to enhance spreading high-energy performance and saving buildings. It was only for the new apartments, but expanded to new office buildings in 2010, and moreover, government offices require 1st grade of Building Energy Efficiency Rating system. Green Building Act, which is established to reduce the emissivity of carbon dioxide by reducing building energy consumption, will be enforced in 2013, and new apartments and office buildings will be subjected to it. Henceforward, it will extend to other types of buildings and will be phased in. In general, pumps and fans consume approximately half of the air-conditioning energy consumption, and about a quarter of the total building energy consumption when office buildings have total floor area of more than 10000 square meters. This study analyzed the energy demand when applying VAV(Variable Air Volume) and VWV(Variable Water Volume) System to reduce energy returns of the pumps and the fans by ECO2, which is a computer simulation program used for Building Energy Efficiency Rating system.

• KIEAE Journal
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• 제15권5호
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• pp.89-94
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• 2015

Purpose: Various policies to reduce the energy consumption have been carried out to save Earth environment against global warming and environmental pollution in many countries. Energy consumption of buildings in Korea has reached 24% of total energy consumption, and energy consumption of apartment has been continuously increasing. Therefore, Korea government has executed building energy efficiency rating certification system to control energy consumption of buildings. Method: This study was conducted to evaluate the energy performance of apartment unit plans according to the increasement of front width of unit plans, and tried to present the basic data to design more energy conscious unit plans for apartments. For the study, three shapes of unit plans -the 2Bay, 3Bay and 4bay unit- were selected for imput models. They were simulated using ECO2 software to assess building energy efficiency rating certification in Korea. Result: According to the results, in cases that balcony windows were not installed, the primary energy consumption of the 3Bay and 4Bay units were less than 2Bay unit, respectively, 0.1% and 2,5%. The primary energy consumption of the 3Bay and 4Bay units, in cases that balcony windows were installed, was less than 2Bay unit, respectively, 1.7% and 3.2%.

• 한국물환경학회지
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• 제36권6호
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• pp.535-545
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• 2020

This study aims to conserve and monitor energy use in public sewage treatment plants by utilizing data from the SCADA system and by controlling the aeration rate required for maintaining effluent water quality. Power consumption in the sewage treatment process was predicted using the equipment's uptime, efficiency, and inherent power consumption. The predicted energy consumption was calibrated by measured data. Additionally, energy efficiency indicators were proposed based on statistical data for energy use, capacity, and effluent quality. In one case study, a sewage treatment plant operated via the SBR process used ~30% of energy consumed in maintaining the bioreactors and treated water tanks (included decanting pump and cleaning systems). Energy consumption analysis with the K-ECO Tool-kit was conducted for unit processing. The results showed that about 58.7% of total energy consumed was used in the preliminary and biological treatment rotating equipment such as the blower and pump. In addition, the energy consumption rate was higher to the order of 19.2% in the phosphorus removal process, 16.0% during sludge treatment, and 6.1% during disinfection and discharge. In terms of equipment energy usage, feeding and decanting pumps accounted for 40% of total energy consumed following 27% for blowers. By controlling the aeration rate based on the proposed feedback control system, the DO concentration was reduced by 56% compared pre-controls and the aeration amount decreased by 28%. The overall power consumption of the plant was reduced by 6% via aeration control.

• 자원ㆍ환경경제연구
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• 제15권3호
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• pp.531-553
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• 2006

가정부문 에너지소비의 경우 주로 전력, 난방유, 휘발유, 도시가스, 지역난방 등과 같이 가계가 직접 구입하고 있는 에너지에 대하여 분석이 이루어지고 있다. 총지출 중에서 이러한 직접에너지 구입이 차지하는 비중이 작기 때문에 많은 가계들은 에너지절약에 별 관심을 두지 않고 있다. 2000년의 경우 한국 가정부문은 총지출의 6.2%만을 직접에너지 구입에 사용하였다. 본고는 산업연관표를 사용하여 1990~2000년 기간 동안 한국의 가정부문 직간접 에너지소비를 추정하고, 요인분해방법을 사용하여 가정부문 에너지 총소비 증가요인을 성장효과, 구조효과와 효율효과로 분석하였다. 한국의 가정부문은 2000년에 직접과 간접적으로 각각 1차 에너지의 약 20%와 31%를 소비하였다. 반면에 기존 에너지통계는 자가용 수송에너지를 제외한 2000년 가정부문의 에너지소비를 최종에너지의 15.5%로 추정하고 있다. 간접 에너지를 포함하면 가정부문이 1차 에너지소비의 최대 경제부문이 된다. 가정부문 에너지소비의 60%는 간접 소비다. 에너지 다소비 철강 및 화학 업종을 제외하면 간접에너지 비율이 직접에너지 비율보다 월등히 높다. 따라서 직접 에너지소비보다는 간접과 총 에너지소비가 에너지절약 정책의 주요 대상이 되어야 한다.

• 한국산학기술학회논문지
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• 제11권12호
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• pp.4991-4996
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• 2010

무선 센서 네트워크에서 클러스터링 기법은 클러스터를 형성하여 데이터를 통합한 후 한 번에 전송해서 에너지를 효율적으로 사용하는 기법이다. 클러스터 그룹 모델은 클러스터링에 기반을 두지만 이전의 기법과 달리 클러스터 헤드에 집중된 에너지 과부하를 클러스터 그룹 헤드와 클러스터 헤드로 분산시켜서 전체 에너지 소모량을 줄인다. 본 논문에서는 이러한 클러스터 그룹 모델에서 에너지 소모 모델의 임계값에 따라 최적의 클러스터 그룹 수와 클러스터 수를 구하고 이를 이용하여 센서 네트워크 전체 에너지 소모량을 최소화하고 네트워크 수명을 최대화한다. 실험을 통하여 제안된 클러스터 그룹 모델이 이전의 클러스터링 기법보다 네트워크 에너지 효율이 향상되었음을 보였다.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제26권1호
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• pp.63-71
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• 2020

Purpose : The purpose of this study is to analyze the elements that affect the energy consumption of general hospitals in Korea. Methods : Factors affecting energy consumption in general hospitals include facility elements and operating elements. The effects of these elements on energy consumption of general hospitals were analyzed by statistical methods such as t-test, anova, correlation analysis, and regression analysis. Results : Total floor area, number of operating rooms, number of MRI, number of staffs, and number of outpatients can be said as useful variables that can explain energy consumption in general hospitals. Implication : It is possible to save energy consumption in general hospitals by adjusting major variables that affect the energy consumption of general hospitals.

• 한국전자통신학회논문지
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• 제19권3호
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• pp.515-522
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• 2024

전 세계적으로 전력 소비량이 꾸준히 증가하고 있으며, 특히 빌딩의 전력 소비 비율은 세계 전력 소비 비율의 20% 이상을 차지할 만큼 그 비중이 크다. 이에 따라 빌딩에서의 전력 소비를 효율적으로 관리하는 빌딩 에너지 관리 시스템(BEMS, Building Energy Management System)의 연구 및 개발이 활발히 진행되고 있으며, 특히 최근에는 인공지능 기술의 발달로 인해 Smart BEMS 연구가 주목받고 있다. 본 논문에서는 강화학습 기반 V2G(Vehicle-to-Grid) Station 연계형 스마트 에너지 빌딩 전력 제어 기법을 제안한다. 실제 빌딩의 전력량 데이터 기반 성능평가 결과, 학습이 진행됨에 따라 빌딩에서의 전력 요금이 감축하는 것을 확인하였다.

• 한국태양에너지학회 논문집
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• 제35권5호
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• pp.31-38
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• 2015

It is important to improve the energy performance in the industrial sector, and therefore most of the manufacturing companies need the energy performance indicators to identify the target and to verify the energy savings. However, the conventional energy performance indicators such as the total energy consumption and the energy intensity are not proper to use. The reason is that they do not consider adequate relevant variables including productions in the boundary of the manufacturing companies. Therefore, the study provides the advanced energy performance indicator using by the linear regression model according to each energy source to manage the target and to verify the energy performance properly.

• Architectural research
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• 제19권1호
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• pp.7-11
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• 2017

Energy consumption in university building has steadily increased over the last decade, and a strong upward trend in recent years. This study was undertaken to analyze the relationship between energy consumption and their affecting factors, six academic buildings were considered. The factors limited to heating and cooling, which is the main end use (nearly 60 per cent of total energy consumption in university buildings), encompassing system and operating schedules (user activity) and area use. To understand how to building is used, operated and managed, walk-through assessment was conducted as well as interview with university staff. The results show that the energy consumption of the humanities building was somewhat smaller than the consumption of the science and engineering building, and its range was from $31.26kgoe/m^2$ to $23.52kgoe/m^2$, depending on heating and cooling system and area use. And the energy consumption of the science and engineering building was related to operating schedules (user activity) as well as laboratory equipment characteristics. More analysis on a larger number of buildings is required in the future, including building form and material performance level to generalize the significant factors influencing building energy consumption.