• 제목/요약/키워드: u-Apartment

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고급아파트를 위한 위치인식 기반 u-서비스 시스템의 설계 및 구현 (Design and Implementation of Location Based u-Apartment Service System)

  • 박병태;최연석
    • 대한안전경영과학회지
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    • 제12권2호
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    • pp.99-105
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    • 2010
  • In this paper, the uAPSS(u-APartment Service System) that is based on location-aware technology is designed and implemented for a luxury apartment. On the real luxury apartment the developed system has been employed and tested to provide convenient and secure living for residents. It provides services such as emergency call, intelligent elevator operation, and hands-free door access based on the location of the residents with personal device as called smart tag. It can also be applied to other service areas such as the location-aware u-Service for hospitals, high-rising complex buildings, silver towns, etc.

부산 아파트 단지 배치형태 변화의 요인과 과정에 관한 연구 (Determinants and Processes of Morphological Transformation of Apartment Complexes in Busan)

  • 이상진;박소현
    • 대한건축학회논문집:계획계
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    • 제35권3호
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    • pp.91-102
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    • 2019
  • This study explores the causes and processes of morphological transformation of apartment complexes in Busan. All apartment complexes built until the year 2016 were selected for statistical analysis, drawing/map examination, field observation, selected expert interviews based on 6 periodical groups: Period I(~1990), Period II(1991~1995), Period III(1996~2000), Period IV(2001~2005), Period V(2006~2010), and Period VI(2011~2016). The research argues for three 'arrangement' types, P1U, L1U and P2U, which have dominated the whole periods occupying 88% of the total 260 complexes. The switch of the leading type represents for morphological transformation of apartment complexes. Four aspects, density(F.A.R.), height(maximum number of floors), deformed-building-type ratio, and building-orientation, have affected the change of 'arrangement' types. Density was the major cause of the arrangement-type switch, from P1U to L1U, on Period II(1991~1995). The morphological change, from type L1U to P2U, on Period V(2006~2010) was caused by height and orientation, and is correlated with the increased number of deformed-type buildings. The first phase morphological change on Period II(1991~1995) was resulted by the supply side of apartment. However, the second phase transformation on Period V(2006~2010) had gone through the complex process including reflection of consumers' demands. The significance of research is to reveal the morphological transformation process of apartment complexes through analytical investigation of the entire apartment data in Busan. The result shows that the major change of urban paysage started to occur from Period V(2006~2010), and the superficial evaluation on apartment 'being monotonous and repetitive' may not be proper at least from the perspective of town plan.

RFID/USN 기반의 효과적인 u-아파트 설계 (Design of Effective u-Apartment based on RFID/USN)

  • 안병태;김민선
    • 디지털콘텐츠학회 논문지
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    • 제9권2호
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    • pp.261-268
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    • 2008
  • 최근, 유비쿼터스 홈에서는 유무선 통신 네트워크를 기반으로 가정 내의 다양한 가전기기 및 센서들이 네트워크로 상호 연결되어 다양한 서비스 제공이 가능하며 지능적이고 상황인식에 기반 한 상호 연동을 통하여 사용자의 편의를 극대화 할 수 있다. 본 논문에서는 유비쿼터스 센서 네트워크 환경을 기존의 아파트에 도입하여 지능형 주차장과 의료시스템을 연계한 u-아파트를 설계하였다. 지능형 주차장은 주차공간의 효율성 향상을 위한 구체적인 구조도를 설계하였고 의료시스템은 미래의 건강 관리에 대한 설계를 제안하였다. 본 논문에서는 유비쿼터스 환경에서 RFID시스템을 이용하여 주차장, 의료시설을 통합한 u-아파트 설계를 제안한다.

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공동주택 외피의 열교영향을 고려한 상당열관류율 및 연간 에너지소비성능 평가 연구 (A study on the annual energy performance of apartment building with the equivalent U-value of envelope considering the effect of thermal bridges)

  • 김동수;윤종호;신우철;곽희열
    • KIEAE Journal
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    • 제12권3호
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    • pp.41-46
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    • 2012
  • The building envelope is important specially for saving energy consumption of residential buildings. but Apartment houses in Korea commonly have inside insulation system which have constantly arisen thermal bridges, the risk of heat loss, as a necessity. This study aims to evaluate integrated insulation performance according to the different shapes of external walls, adjacent to windows. The thermal performance analysis was carried out by Equivalent U-value and using the three-dimensional heat transfer computer simulation (TRISCO-RADCON), under nine different cases of comparing among three each of different bases(current standard model, 30percent energy saving model and 60percent energy saving model). The heating and the cooling load were also compared between two cases (standard U-value and Equivalent U-value) of three each of different bases, using the Building energy simulation which is based on DOE-2.1 analysis. As results, it turns out that if the Equivalent U-value is considered on the envelope analysis, the heat flow loss will be increasing more than the standard U-value, and if heat insulation property of the residential building reinforced rather than current, the rate of influences on the thermal bridges would be extremely expanded. In addition, it is shown that annual heating loads of the apartment house with applied Equivalent U-value substantially increased by more than 15 percent compared to those with the existing U-value, but annual cooling loads were negligibly affected.

공동주택 단지 내 동별 난방에너지소요량 비교 분석 - 대전지역 아파트단지를 중심으로 - (Comparison Analysis of Building's Heating Energy Consumption in the Apartment Complex - Focused on Apartment in Daejeon -)

  • 장영혜;김정국;김종훈;정학근;홍원화;장철용
    • KIEAE Journal
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    • 제15권3호
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    • pp.37-42
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    • 2015
  • Purpose: Apartment is a typical residential type in Korea. In the past, apartment types were very monotonous. But today, the types of complex are changed because personal needs have been diversified and personalized. In order to meet those needs, construction companies are constructing various types of apartments. The more apartment types are diverse, the more the energy problems are taken place. So, the purpose of this study is to solve the problem of energy gap in the same complex through improving the thermal transmittance of wall. Method: Heating energy consumption of Building Energy Efficiency Rating System and heating energy usage of apartment show a similar trend on the graph. In order to identify the best position of heating energy consumption difference reduction, we change the building's U-value of front, back, side walls. Result: In the A complex, maximum and minimum heating energy consumption building's shapes are flat. the best efficiency is side U-value change and the worst is front change. In the E complex, maximum heating energy consumption building's shape is tower and minimum building shape is flat. Consequently, the front and back wall performance change was little effect to reduce energy gap, while the change of side wall's U-value show the great reduction between building's energy consumptions.

수도권 1기 신도시 고층고밀아파트 단지의 지속가능한 주거지 재생을 위한 과제 (Sustainable Regeneration Strategies of High-Rise Apartment Estates of the Early 1990s' New Towns in the Capital Area)

  • 권성실;오덕성
    • KIEAE Journal
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    • 제9권3호
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    • pp.47-59
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    • 2009
  • In Korea has been supplied a large quantities of apartments since 1970s. The deteriorated middle-rise apartments of 1970s' have been rebuilt. It isn't lucrative to reconstruct the high-rise Apartment estates of the early 1990s' new towns in the capital area. Therefore the sustainable regeneration strategies of them have to be found. This research have been focused on the social and economical changes based on demography and the turning of technology and paradigm, the cities competitiveness compared with 2nd era new towns, physical deterioration of themselves. In these aspects, high-rise apartment estates in the 1st new towns face to 10 challenges such as an aging society, a multicultural society, U-city, an environmentally-friendly situation, the cities competitiveness of social, conomical and physical environment, the declining of estates, buildings and units. This study analyzed problems of 1st new town apartment estates and suggested regeneration tasks in accordence with those problems. The tasks are as follows. To accommodate the 1st new town apartment estates to social changes, they need to have a variety of community facilities and units, an opportunity of esidents participation. to establish a self-sufficient economy, a community usiness has to be vitalized and an ecological environment, an infrastructure of u-city and an improvement of physical environment obtained.

창호 구성 요소에 따른 난방에너지 절감율 예측에 관한 연구-공동주택을 중심으로 (Prediction of Heating Energy Saving Rate on the Window Type-Focus on the Apartment House)

  • 김경아;문현준;유기형
    • 한국태양에너지학회 논문집
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    • 제33권6호
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    • pp.54-61
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    • 2013
  • This is study on the glazing performance of the apartment house to predict energy saving rate when the early design stage by calculating heating load. there are various factors of the window type in apartment building to save energy such as window's U-value, SC or SHGC, window wall ration, frame factor, sunshade coefficient and so on. In this study, we analyzed the heating load focused on the U-value, SC and window wall ration using variable heating degree days method for a small and middle size units $59m^2$, $84m^2$, respectively. Each cases were calculated heating load of the real models compared to standard model to predict energy saving rate. From those cases it was drew the conclusion that were window's U-value, SC and window wall ration for the small and middle size units to expect 10% energy saving rate at least.

창호 에너지소비효율등급제에 따른 공동주택의 열성능 평가 (Energy Performance Evaluation of Apartment Houses According to Window Energy Consumption Efficiency Rating System in Korea)

  • 임희원;김동윤;이수만;안정혁;윤종호;신우철
    • 설비공학논문집
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    • 제30권4호
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    • pp.159-166
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    • 2018
  • The Korean fenestration energy consumption efficiency rating system only considers thermal performance of the heat transfer coefficient (U-value) and airtightness excluding optical characteristics of the solar heat gain coefficient (SHGC). This study analyzed annual heating and cooling energy requirements on the middle floor of apartment by optical and thermal performance of windows to evaluate the suitability of the rating system. One hundred and twenty-eight windows were analyzed using THERM and WINDOW 7.4, and energy simulation for a reference model of an apartment house facing south was performed using TRNSYS 17. The results showed that window performance was the main factor in the heating and cooling load. The heating load of the reference model was 539 kWh to 2,022 kW, and the cooling load was 376 kWh to 1,443 kWh. The coefficient of determination ($R^2$) of the heating and cooling loads driven from the SHGC were 0.7437 and 0.9869, which are more compatible than those from the U-value, 0.0558 and 0.4781. Therefore, it is not reasonable to evaluate the energy performance of windows using only the U-value, and the Korean fenestration energy consumption efficiency rating system requires a new evaluation standard, including SHGC.

그린홈 공동주택의 최적 에너지 공급시스템 설계를 위한 부하 예측 연구 (A Study on Building Energy Demand for Design of Energy System on Green Home Apartment)

  • 박재완;윤종호;곽희열;이재범;신우철
    • 한국태양에너지학회 논문집
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    • 제33권1호
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    • pp.24-31
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    • 2013
  • More than 23% of total nation's energy is consumed by residential building and 57.2% of Korean people are living in apartment. This study was carried out to two kind of process. First, after selecting one standard apartment, our research team investigate realistic energy consumption. Second, using 3-dimension heat transfer tool(TRISCO RADICON) and building energy simulation tool(Visual DOE) As a result, amount of heating and hot-water energy is composed of above 80 percent in standard apartment. And, after applying high performance technologies to standard apartment, namely, after being green home apartment, total energy consumption is reduced by54.6 percent. Also, because of energy consumption characteristics of green home apartment, for making more high performance green home apartment, especially, we have to figure out effective method to reduce electric and hot water energy.

머신러닝 기반 공동주택 분양가 예측모델 개발 기초연구 (A Basic Study on Sale Price Prediction Model of Apartment Building Projects using Machine Learning Technique)

  • 손승현;김지명;한범진;나영주;김태희
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.151-152
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    • 2021
  • The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

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