Purpose: In korea, Aging in Place is underway as an alternative to elderly housing for the aging population. Currently, research is being actively conducted mainly for the baby boomer generation and older generation. There is not much research on various ages that will be needed continuously in elderly housing and aging in place in the future. Therefore, this study suggests aging in place of urban elderly housing through analysis of urban preference of all ages. Method: An analysis of prior studies related to elderly housing, Field interpretation about Aging in Place, An analysis of the city preference through the survey of the elderly, Existing Literature Survey, Housing Survey, Future Population Projection, Survey of the elderly and confirmed the necessity of the Aging in Place of urban elderly housing. Result: As there are many generations living in the city and many people prefer it, studies on urban elderly housing should be actively conducted and should be studied as Aging in Place that can be used for all ages. In addition, it is necessary to study the advantages and disadvantages of using Aging in Place in the city through domestic or overseas case analysis.

Purpose: The purpose of this study is to suggest a proper plan about the exterior space of elementary school in Korea through analyzing the various factors of the exterior spaces in foreign elementary school case. because the foreign cases have diversified eco-friendly certification standards on the elementary school unlike Korean cases. Method: First, we review the recent eco-friendly research trends of elementary schools and the external space characteristics of elementary schools that are currently being studied through related literary surveys, And we review the korean criteria factor for eco-friendly certification, we draw the types of exterior space thorough analysis framework, using the korean criteria factor. Second, the foreign cases of the elementary school were chosen, and then some planning data such as architecture scheme, design concepts and drawings will be collected. So the data were analysed and then the characteristics of physical setting and eco-friendly certification standards will be drawn. Third, We analyzed the characteristics and factor of physical and eco-friendly of exterior space through the drawn types. Result: The various physical settings are appeared physical environment. when we analyzed certification factors at korean eco-friendly standards, the suggestion and guide about the eco-friendly elements than the numerical goals were treated importantly in Korea.

Purpose: Currently, there are many success stories coming out various energy-saving / production or eco-friendly buildings. However, these case and method didn't consider of application with existing housing and high-rise housings. In the case of Europe, the North America is gradually grew and settle through the voluntary, small, private development. But this method and system are not fit for the majority of developing countries including South Korea. Method: In this situation, this paper analyse, first arranged previous research and case study, second divided factors and re-organized factors, third analysed plan and elevation of apartment and selected main plan type and elevation type of apartment, finally analysed method of application with existing buildings and high-rise buildings by test and simulation. Result: In sum, this research finally analyzed the change of electricity and fuel consumption according to the change of insulation standard. This study has been expected to serve as a bridge of the energy housing system development and suggest new method applied to the existing housing and building.

Purpose: Indoor air quality in residential buildings needs to be evaluated over the long term. In previous research, there has been an attempt to perform the health risk assessment of pollutants by using numerical models as a method of long-term evaluation. However, the numerical model of this precedent study has limitations that do not reflect the actual concentration distribution. Therefore, this study introduces the CRPS index, constructs a numerical model that can reflect the concentration distribution, and then presents a more accurate health risk assessment method using it. At this time, the pollutants are toluene, which is a typical material released from building materials. Method: CRPS index was applied to existing numerical model to reflect concentration distribution. This was used to calculate concentrations at adult breathing area and to use them for exposure assessment in a health risk assessment. After that, we entered adult data and conducted a health risk assessment of toluene. Results: The non-carcinogenic risk of toluene was calculated to be 0.0060. This is 5% smaller than the existing numerical model, meaning that it is more accurate to predict the pollutant risks. This value is also lower than the US EPA reference value of 1. Therefore, under the conditions of this study, long-term exposure of adults to toluene has no impact on health.

Purpose: Residential cooking(gas or electricity) emits many air pollutants. For Removal of these contaminants, range hood is play an important role in the cooking activities. However, deterioration about performance of range hood can be occur in used range hood which is not verified on performance by testing balancing and adjusting in apartment. So, purpose of this study is to improve the range hood against cooking-generated contaminations. Method: To improve hood, survey of range hood which mounted in apartment have to conduct at first. In this study, the survey was conducted for 3 steps. First, Visual inspection for conditions of range hood. Second, questionnaire of operating and maintenance method. Third, interview with user about need for improvement, complainant. Finally, we integrated the survey for range hood and introduced the probable cause of deterioration through this comprehensive survey. Result: Result of measurement for air volume for range hood, A measured air volume has reduced by 41.4, 38.0, 32.0% each step from rated air volume. There are lots of reasons of this phenomenon including to maintenance, air path of duct, lower-cost devices, exhaust ports. For solve this problem, guideline about operating hood, user in apartment will have to supply with maintenance information at first.

Purpose: This study aims to set up the classification system for providing infill information and draw detailed infill information required by suppliers, thereby promoting the revitalization of long-life housing and utilizing such information as preliminary data for establishing web system, on which infill information required by users in the long-life housing design process are available. Method: For the method of study, the infill information classification system and detailed information were drawn through the analysis of existing building material information systems; and the survey targeting working-level personnel was carried out in order to verify the drawn information system. The results of this study can be summarized as follows. First, the hierarchical classification system (scheme) was selected by quoting the classification system by material type as infill type, after analyzing existing DB information systems and drawing the hierarchical classification system for infill. Second, the comparative analysis between infill was available to users for the detailed infill information of long-life housing, and the essential information and general information were selected for differentiating information. Results: First, the hierarchical classification system (scheme) was selected by quoting the classification system by material type as infill type, after analyzing existing DB information systems and drawing the hierarchical classification system for infill. Second, the comparative analysis between infill was available to users for the detailed infill information of long-life housing, and the essential information and general information were selected for differentiating information. Third, only approximately 30% of the survey respondents recognized the infill of long-life housing, but they did not recognize its difference from existing building materials. Fourth, through the analysis of paths to obtain infill information of long-life housing, it was confirmed that infill information was obtained mostly through books and research papers regarding long-life housing, followed by the existing information systems. The significance of the study lies in that it is differentiated from the previous information system as the information system specialized in the infill of long-life housing was established, and can be used as a measure to revitalize long-life housing market.

Purpose : Ando Tadao has his own unique architectural conception to reproduce natural view on site, and he continues to create new architecture without regarding to any principles. Ando Tadao experiments his imagination through the museum architecture, starts organization of space with light, and completes organization of space with light at once. Methods : The research works as follows: 1) Analyzes the meaningful characteristics showed in his architectural works. 2) Analyze organization of space and use of light in museums designed by Ando Tadao. 3) Selecte his representative museums in Korea and Japan, and then analyze space composition and light use through literature study and field survey. Result : The organization of museum space by Ando Tadao has a close relationship with the light. Light designed by Ando Tadao represents unique architectural varieties such as cushioning space, moving line, spatial characterization, and natural influx.

Purpose: This study aimed at developing an Artificial Neural Network (ANN) model for predicting the amount of cooling energy consumption of the variable refrigerant flow (VRF) cooling system by the different set-points of the control variables, such as supply air temperature of air handling unit (AHU), condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. Applying the predicted results for the different set-points, the control algorithm, which embedded the ANN model, will determine the most energy efficient control strategy. Method: The ANN model was developed and tested its prediction accuracy by using matrix laboratory (MATLAB) and its neural network toolbox. The field data sets were collected for the model training and performance evaluation. For completing the prediction model, three major steps were conducted - i) initial model development including input variable selection, ii) model optimization, and iii) performance evaluation. Result: Eight meaningful input variables were selected in the initial model development such as outdoor temperature, outdoor humidity, indoor temperature, cooling load of the previous cycle, supply air temperature of AHU, condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. The initial model was optimized to have 2 hidden layers with 15 hidden neurons each, 0.3 learning rate, and 0.3 momentum. The optimized model proved its prediction accuracy with stable prediction results.

Purpose: Because of the growing concern over fossil fuel use and increasing demand for greenhouse gas emission reduction since the 1990s, the building energy analysis field has produced various types of methods, which are being applied more often and broadly than ever. A lot of research products have been actively proposed in the area of the building energy simulation for over 50 years around the world. However, in the last 20 years, there have been only a few research cases where the trend of building energy analysis is examined, estimated or compared. This research aims to investigate a trend of the building energy analysis by focusing on methodology and characteristics of each method. Method: The research papers addressing the building energy analysis are classified into two types of method: engineering analysis and algorithm estimation. Especially, EPG(Energy Performance Gap), which is the limit both for the existing engineering method and the single algorithm-based estimation method, results from comparing data of two different levels- in other words, real time data and simulation data. Result: When one or more ensemble algorithms are used, more accurate estimations of energy consumption and performance are produced, and thereby improving the problem of energy performance gap.

Purpose: Prefabricated modular space such as a container construction has recently been interested unlike the conventional construction method, and their scale have expanded from small buildings such as cafes, houses and pensions to shopping centers, complex cultural spaces where shows and exhibitions are possible doing. In this way, the container is in the spotlight as an advantage such as mobility, flexibility, correspondence, economic efficiency, recyclability and so on. However, there are no specific guidelines and standard design methods in aspects of structural calculation, functional insulation and environmental configuration. Therefore, as the first step to resolve these problems, this study has focused on the field of environmental performance of container construction, presented appropriate guidelines and searched ways to improve performances. Method: For this study, seven types of the modular building were chosen and compared, and their energy performances have been analyzed using a proven simulation tool. Essential methodology and terminology were examined to estimate and judge their efficiency. Result: In conclusion, energy performances depend on specific configuration of combined unit spaces, and design guidelines cold be set up for promoting their use in the practical field.

Purpose: The purpose of this study is to investigate the prior art based on deep learning to objectively calculate the metabolic rate which is the subjective factor for the PMV optimum control and to make a plan for future research based on this study. Methods: For this purpose, the theoretical and technical review and applicability analysis were conducted through various documents and data both in domestic and foreign. Results: As a result of the prior art research, the machine learning model of artificial neural network and deep learning has been used in various fields such as speech recognition, scene recognition, and image restoration. As a representative case, OpenCV Background Subtraction is a technique to separate backgrounds from objects or people. PASCAL VOC and ILSVRC are surveyed as representative technologies that can recognize people, objects, and backgrounds. Based on the results of previous researches on deep learning based on metabolic rate for occupational metabolic rate, it was found out that basic technology applicable to occupational metabolic rate calculation technology to be developed in future researches. It is considered that the study on the development of the activity quantity calculation model with high accuracy will be done.