• KIEAE Journal
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• 제17권3호
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• pp.75-81
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• 2017

Purpose: The energy consumption of apartment units is affected by the lifestyle of the residents rather than system technology. In this study the numerical analysis of assumed energy consumption correlation factors with arbitrary value due to uncertainty. It is intended to be used as a simulation correction value which can be utilized as a predicted value of actual energy usage. The correction value of the simulation is set in the developed form of the existing process that derives the actual usage amount. The simulation results used in the existing evaluation system are used to maintain the useful value as the current system evaluation scale and predict the actual capacity. Method: The method of the study is to statistically analyze the data frames of all complexes capable of collecting the annual energy usage and to reconstruct the population by adding the variables that are expected to be correlated. Repeat the data frame configuration with variables that are assumed to be highly correlated with energy use levels. Determine whether there is correlation or not. The intensity of the external characteristics of the building equipment related to the energy consumption is presented as the quantitative value. Result: The correlation between electricity consumption and trading price since 2010 is analyzed as (Correlation coefficient 0.82). These results are higher than (Correlation coefficient 0.79), which is the correlation between residential area and trading price. This paper signifies the starting point of the methodology that broadens the field of view of verification of simulation feasibility limited to the prediction technique focused on the simulation tool and the element technology scope.The diversified phenomenon reproduction method develops the existing energy simulation method.It can be completed with a simulation methodology that can infer actual energy consumption.

• 응용통계연구
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• 제33권6호
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• pp.791-804
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• 2020

스마트그리드 환경하에서 ICT 기술의 발달로 AMI 기기를 통해 가정의 실시간 전력사용량을 수집할 수 있게 됨에 따라 이러한 자료들을 활용하여 보다 더 정확한 가정용 전력사용량 예측을 할 수 있게 되었다. 본 논문에서는 1시간 단위 가정용 전력사용량 자료를 바탕으로 ARIMA, TBATS, NNAR 모형을 사용하여 전력수요를 예측하는 모형을 연구하였는데, 기존과 달리 가구 전체 사용량을 한 번에 예측하는 것이 아닌 유사한 전력사용패턴을 나타내는 가구들을 군집하여 군집별로 예측 모형을 수립하고 각 모형별 예측치를 합산하여 예상 전력사용량을 산출하였다. 특히 전력사용량 자료는 전형적인 시계얼 자료로서 군집분석 방법으로 시계열에 적절한 방법을 선택하였으며 본 논문에서는 동적타임워핑(dynamic time warping)과 Periodogram 기반의 방법을 사용하였다. 연구 결과 사용량이 유사한 가구들을 군집하여 전력사용량을 예측하는 것이 한 번에 예측하는 것보다 예측 성능이 더 우수한 것으로 나타났으며 예측 모형 중에서는 여름철의 경우 NNAR 모형이, 겨울철의 경우 TBATS 모형의 성능이 가장 좋았으며 군집분석 방법은 군집 간 패턴의 차이가 명확히 나타난 동적타임워핑 방법을 사용했을 때 예측 성능의 향상이 가장 많았다.

• 한국태양에너지학회 논문집
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• 제26권3호
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• pp.89-97
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• 2006

Our Housing culture continuously changes for the correspondence to social development and changes of economy, and be developing. A massive apartment complex continuously increased, and According to this in our country heating energy consumption of a residential building is continuously increasing at country me whom was limited in order to raise efficient residential land use and diffusion ratio of house. If confirm an element to be able to reduce use of a heating energy, and there is saving possibility to parts of energy saving, this study will present the standard amount used with bases to the gas amount used for heating and Field Test data about room temperature. Execute simulation with building balance (public area, a plain), the gas amount useds such as incense of a building, indoor setting temperature ($^{\circ}C$), a position of an apartment house etc. to affect the energy amount used of a valuation object building of a variable through Field Test and research on the actual condition. Calculate the standard amount used of city gas for winter season heating of a comparative analysis apartment house to data value getting the above results through Field Test and simulations with bases.

• 한국태양에너지학회 논문집
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• 제40권3호
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• pp.21-31
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• 2020

The government mandates gradually zero energy building and Photovoltaic power generation systems installed in buildings are emerging as the most realistic alternative to increase the independence rate of building energy. In this study, we propose a method to reduce the power consumption of households by increasing the PV capacity of balconies and applying the method used the charged electric power stored in batteries after sunset. In order to evaluate the electric power energy savings of the residential BESS, a balcony PV 1.2 kW and a battery pack 2 kWh were installed for 9 houses in 4 apartments in Seoul and Gyeonggi-do. The BESS is charged when the balcony PV is generated electric power, and when solar power generation is finished, it supplies power to the electric appliances connected to the load. As a result of installing the solar PV module 1.2 kW and 2 kWh class BESS for 3 households located in Seoul and Gyeonggi-do, the average electric power consumption saving rate was 40%. The reduction in electricity consumption in the case of zero generation surplus power by maximizing the utilization rate of BESS has been improved to about 53%. Therefore, in order to increase the self-sufficiency rate of electric energy in apartment houses, it is effective to increase the solar photovoltaic capacity of the balcony and apply the residential BESS. In the future, it is believed that the balcony PV and home BESS will play a key role in achieving mandatory zero-energy housing.

• 한국전자통신학회논문지
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• 제16권6호
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• pp.1223-1230
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• 2021

최근 에너지 자원관리는 전 세계적인 주요 관심사이다. 에너지원 생산의 한계 조건 속에서, 효과적인 에너지 관리 활동은 에너지 수요 및 생산을 최소화하고 이는 환경이 미치는 영향을 최소화할 수 있다. 본 논문은 주거형 건물에서 에너지 소비자에게 전기 사용에 대한 실시간 정보를 제공할 수 있는 가정용 전기에너지 모니터링 시스템의 프로토타입 설계를 제안하고자 한다. 제안된 시스템은 자체 개발된 센싱 시스템, 데이터처리시스템, 원격 모니터링 서버 시스템으로 구성된다. 주거형 건물내에 설치 적용된 센싱 시스템은 전원 공급을 제어하는 릴레이, 부하 전기기기의 전류를 감지하는 CT센서, Kmote로 구성된 무선 스마트 플러그로 구성된다. 공동/단독 주거형 건물에서 3개월 동안의 가전제품별 에너지 소비량 데이터를 분석하여 제시하였으며, 실험결과는 에너지 소비 패턴과 현황을 추정할 수 있는 가능성을 확인하여 제시하고 있다.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2011년도 춘계학술발표대회 논문집
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• pp.261-266
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• 2011

The purpose of this study was to identify the perception of residents on green home and their green residential life. For this study, a questionnaire survey was conducted and the items consisted of whether green home was perceived and how well green residential life was maintained in 6 types of environments. A total 118 responses of residents living in apartments of Seoul Metropolitan Area were used for data analysis. Using statistical program SPSS Win 18.0, frequency analysis, t-test, One-way ANOVA, and factor analysis was employed. The major findings were as follows: 1) slightly more than half of the respondents were aware of green home, and the vast majority were in favor of the green home policy; 2) most of the respondents carried out guidelines of green residential life, and in particular, green living on air environment was well done, followed by consumption, waste, energy, traffic and water; 3) the six kinds of environments were subcategorized by using factor analysis, and 3 to 5 factors were included in each category of environment. Also, it was found that age, educational level, employment status of respondents, housing tenure and duration were related to the degree of green residential life. In midst of global movement toward sustainability, environmentally friendly living is not optional but mandatory, so it's important to change each individual's value on the relation between people and environment and to facilitate more environmentally conscious behaviors.

• 한국주거학회논문집
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• 제23권2호
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• pp.107-114
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• 2012

Thermally Activated Building System(TABS) is a radiant heating and cooling system which uses structures as thermal storage by embedding pipes in a concrete slab. Using TABS as the cooling system in residential buildings can reduce energy consumption and peak loads. But the ratio of cooling loads handled by TABS is low in the residential buildings which are significantly influenced by outside condition because condensation and over-cooling may occur. However, recent interest on energy-saving buildings is increasing and new residential buildings are expected to be less influenced by outside with high-insulation and shading. In such residential buildings, the heating and cooling loads and the range of load changes reduce. So the ratio of loads handled by TABS can increase. Therefore, this research investigates the cooling performance and energy performance of TABS in the residential buildings with less influence from outside using the simulation.

• 전기학회논문지
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• 제59권6호
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• pp.1046-1052
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• 2010

In residential house, photovoltaic (PV) system among various alternatives in renewable energy system is the most efficient and feasible solution for reducing energy consumption and electricity cost. However, relatively high initial cost make people reluctant to install PV system in their houses. Therefore, in the initial state for PV system installation in the house, it is very important to decide proper capacity of the PV system considering the expected energy usage and solar energy supplying condition with the house. This paper proposes a novel optimization model for deciding appropriate capacity of the PV system for residential house. The objective function of the model is to minimize the annual cost including electricity bill, operation and maintenance cost, and annual fixed cost calculated from the initial installation cost based on capital recovery factor (CRF). The model also shows the optimal inclining angle of PV panels of the system. In this paper, we estimate the PV output using PVWATTS (PV simulator of Office of Energy Efficiency and Renewable Energy) and find optimal solutions by Sequential Quadratic Programming (SQP) method using MATLAB software. The proposed approach is finally applied to a residential model house in Gangneung, Gangwon-Do and verified its feasibility for adopting to PV system design for residential houses.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2009년도 하계학술발표대회 논문집
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• pp.64-69
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• 2009

Because of their low operating and maintaining costs, ground-source heat pump(GSHP) systems are an increasingly popular choice for providing heating, cooling and water heating to public and commercial buildings. Despite these advantages and the growing awareness, GSHP systems to residential sectors have not been adopted in Korea until recently. A feasibility study of a residential GSHP system was therefore conducted using the traditional life cycle cost(LCC) analysis within the current electricity price framework and potential scenarios of that framework. As a result, when the current residential electricity costs for running the GSHP system are applied, the GSHP system has weak competitiveness to conventional HVAC systems considered. However, when the operating costs are calculated in the modified price frameworks of electricity, the residential GSHP system has the lower LCC than the existing cooling and heating equipments. The calculation results also show that the residential GSHP system has lower annual prime energy consumption and total greenhouse gas emissions than the alternative HVAC systems considered in this work.

• 토지주택연구
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• 제13권3호
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• pp.107-113
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• 2022

건축물의 에너지소비를 줄이기 위해 건물의 기밀도가 지속적으로 향상되고 있으며, 이로 인해 건물 내부의 평균적인 상대습도가 높아지고 있다. 평균 상대습도가 높아짐에 따라 단열 취약부 및 습기발생 행위 시 결로가 발생하며, 습기제어를 위하여 기계 환기장치의 중요성이 향상되고 있다. 그러나, 기계환기장치는 추가적인 에너지 소비 및 소음 발생으로 재실자의 불쾌감을 유발하기 때문에, 서로 상충되는 기준에 대한 적절한 환기전략 선정이 필요하다. 본 연구에서는 공동주택 내 기계환기장치의 환기성능, 에너지 소비량, 소음도를 측정하여, 서로 상충하는 운영기준 중 우선순위에 있는 환기전략을 찾기위해 다기준 의사결정기법인 TOPSIS를 이용하였다. 또한, 재실자의 환기장치 운영기준 선호도에 따라 달라지는 적절 환기전략을 도출하였으며, 향후 AI 기술을 활용한 재실자 맞춤 환기전략 제시가 가능할 것으로 사료된다.