• Fire Science and Engineering
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• v.24 no.6
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• pp.61-68
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• 2010

In this paper, a research and development result for the implementation of single station fixed temperature detector for residential fire prevention is described. The detector was developed for the certification in Japanese market because of very low domestic market situation. It is in the situation that there is no other regulation especially for residential detectors in Korea, Japanese case has been reviewed. Investigation of domestic legal circumstances and a comparative study for the test standard owned by KFI (Korea Institute of Fire Industry & Technology) and JFEII (Japan Fire Equipment Inspection Institute) respectively are also indicated. The detector alarms with a buzzer and an indicating LED. In the implementation ultra low power MCU(Micro Controller Unit) is applied to control the sleeping state and the monitoring state properly with low current consumption. To sense the temperature fast response thermistor is adopted in the design of fixed temperature residential detector. Automatic test function and alarm stop function are also considered in the design. The major factors which influence to current consumption are explained for the purpose of design reference. Main electronics circuit parts related to it's characteristics of the detector are described. It is explained that the measured current and experimental result of the battery discharge can be met over 10 years operation.

• International journal of advanced smart convergence
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• v.4 no.1
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• pp.45-53
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• 2015

This paper is proposed mathematical load modelling based on system identification approach of energy consumption of residential air conditioning. Due to air conditioning is one of the significant equipment which consumes high energy and cause the peak load of power system especially in the summer time. The demand response is one of the solutions to decrease the load consumption and cutting peak load to avoid the reservation of power supply from power plant. In order to operate this solution, mathematical modelling of air conditioning which explains the behaviour is essential tool. The four type of linear model is selected for explanation the behaviour of this system. In order to obtain model, the experimental setup are performed by collecting input and output data every minute of 9,385 BTU/h air-conditioning split type with $25^{\circ}C$ thermostat setting of one sample house. The input data are composed of solar radiation ($W/m^2$) and ambient temperature ($^{\circ}C$). The output data are power and energy consumption of air conditioning. Both data are divided into two groups follow as training data and validation data for getting the exact model. The model is also verified with the other similar type of air condition by feed solar radiation and ambient temperature input data and compare the output energy consumption data. The best model in term of accuracy and model order is output error model with 70.78% accuracy and $17^{th}$ order. The model order reduction technique is used to reduce order of model to seven order for less complexity, then Kalman filtering technique is applied for remove white Gaussian noise for improve accuracy of model to be 72.66%. The obtained model can be also used for electrical load forecasting and designs the optimal size of renewable energy such photovoltaic system for supply the air conditioning.

• Journal of the Korean Home Economics Association
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• v.18 no.1
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• pp.67-82
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• 1980

The objectives of the study were to determine 1) energy uses for residential requirements, 2) if energy consumption and adoption of energy conservation attitudes and practices vary with independent variables family size, stage of family life cycle, homemaker's level of education, income, heating system, and number of electrical household items, and 3) if there is a correlation between energy conservation attitudes and practices. Questionnaires were given to the randomly selected homemakers I Seoul in the summer (September, 1979) and the winter (February, 1980). Analysis of variance and correlation were used to analyzed the data which consisted of 537 usable responses of 895 returned in the summer and 554 responses of 794 returned in the winter. The results are as follows: 1) The order of consumption rate of the direct energy uses for residential requirements was found to be heating and air conditioning, cooking, refrigeration, T.V., lighting, and miscellaneous. 2) Energy consumption and adoption of energy conservation attitudes and practices were significantly related to family size, homemaker's level of education, and the stage of family life cycle. (1) Families of five members revealed higher scores in attitudes and practices than families less than five or more than six. (2) The higher the homemaker's level of education, the more energy consumption and the higher scores I attitudes and practices were found. (3) Families in the middle stage of family life cycle tend to use more energy than younger or older families, but their scores in attitudes and practices were high. 3) There was a significant correlation between energy conservation attitudes and practices. However, the scores of the conservation practices were not as good as the attitudes. It may be attributed to either a lack of knowledge and/or financial difficulties, or a dissonance between the concept and implementation of energy conservation. 4) Recommendations for the energy-saving and energy-related public policies are: (1) to use such human resources as attitudes, values, feelings of agreement, and cooperation, as well as nonhuman resources for the energy conservation, (2) to develop a educational program and a creative system I order to implement energy conservation programs, and (3) to consider direct as well as indirect energy uses I selecting goods and services.

• Journal of Environmental Impact Assessment
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• v.24 no.5
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• pp.487-498
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• 2015

The energy problem has occurred because of the effects of rising temperature and growing population and GDP. Prediction for the energy demand is required to respond these problems. Therefore, this study will predict heating and cooling energy consumption in residential sector to be helpful in energy demand management, particularly heating and cooling energy demand management. The AIM/end-use model was used to estimate energy consumption, and service demand was needed in the AIM/end-use model. Service demand was estimated on the basis of formula, and energy consumption was estimated using the AIM/end-use model. As a result, heating and cooling service demand tended to increase in 2050. But in energy consumption, heating decreased and cooling increased.

• Hwankyungkyoyuk
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• v.23 no.2
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• pp.65-81
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• 2010

Universities which have taken an important role to develop the human resources, became one of emitters of greenhouse gases, they need to find a way to reduce global warming gases through reduction of energy consumption. This study is intented to propose a solution that can reduce the greenhouse gases at universities located in Korea. To conduct this study, we have chosen a university at Wonju in Kangwon province for a case study and investigated the emissions of carbon dioxide from campus facilities and residential area. The data has become a footstone to estimate the assumed amount of carbon emission for top 23 energy consumption universities in Korea. We calculate the amount for carbon emission, not only for facilities in campus, but also for residential buildings, amount for emission is increased severely by showing $9780.94tCO_2$, which is 2.1 times more than average amount for emission of greenhouse gases researched in existing statistics. Universities have difficulty in introducing new energy generation system, as having been done business companies or other commercial facilities but they are required to introduce some educational methods since it is a academic space. Incentive to universities reducing carbon emission in campus is a system to provide incentives with students, professors, administrative personnels and others in campus as a compensation for their efforts to save energy. It is needed to establish the infrastructures for measuring energy consumption in campus.

• Journal of Korean Society of Rural Planning
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• v.18 no.2
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• pp.13-26
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• 2012

This study aims to present the policy issues and direction of sub-urban residential complex by analyzing the settlement environment and life satisfaction. For the purpose, 10 sub-urban residential complexes in Chungnam Province were surveyed for general situation, physical environment, social environment, economic environment. The results are as follows; 1) The satisfaction in the physical environment is more higher in case of the complex created by the public organization. 2) The physical environment is an important factor in the determinant of the settlement, while the economic environment have a relatively lower impact. 3) The residents community is the more active, the satisfaction in the social environment is the more improved. 4) The source of income or the activity of consumption doesn't have an effect on the satisfaction in the economic environment. On the basis of this study, three programs for improvement of sub-urban residential complex policy were suggested. First, the various information and counseling service should be provided to attract city dwellers. Second, the policy on the development of sub-urban residential complex has to consider residential preference factors and improve the quality of life. Third, to increase the life satisfaction, the residents community should be activated and especially the activation of community with residents in other village is very important.

• Journal of Community Nutrition
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• v.6 no.1
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• pp.12-17
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• 2004

The purpose of this study was to evaluate the nutritional status of elderly women living in residential homes by estimating nutrients and food intakes. Food consumption survey was conducted by 3-day 24hr recall method with 99 elderly women aged 65 to 90 years from three residential homes in Seoul, Choonchun and Chunan and 46 free-living elderly women aged 65 to 88 years from Chunan as control group. Food intake data was converted into nutrient intake using computer aided nutritional analysis program. Mean energy intake and percentage of recommended daily allowance (RDA) of residential home residents were 1696㎉ and 101% of RDA while those of control were estimated as 1939㎉ and 119% of RDA. On average, absolute amount of nutrient intakes of residential home residents were slightly higher than control group. Subjects in control group showed significantly lower carbohydrate and vitamin A intake, while vitamin C intake was higher. However, nutrient intake quality determined by INQ (Index of nutritional quality) was significantly higher among control subjects in most nutrients except vitamin A than residential home residents. Intakes of calcium, vitamin A and riboflavin of all subjects in this study were less than 75% RDA meaning that nutritional status of calcium, vitamin A and riboflavin was insufficient and could possibly result in nutritional deficient. Some food groups such as milk or other dairy products must be strongly suggested to improve nutritional status of elderly women in this study. According to the results of this study, meal plans of residential homes are quite adequate in quantity of micronutrients, but need to be improved in both quantity and quality of micronutrients.

• Journal of Climate Change Research
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• v.4 no.3
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• pp.211-219
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• 2013

This study uses the LEAP model that is a long-term energy analysis model to analyze reduction potential on S city residential sector energy usage for greenhouse gas emission. Energy consumption of S-si in 2009 is consumed most in residential and commerce sector by 39.1%. Also, energy and greenhouse gas emission of residential sector is expected to increase due to increase of households. Therefore, greenhouse gas reduction measures are desperately required in residential sector. For this study recognizes energy consumption of S-si residential sector and has established reduction measure of S-si residential sector greenhouse gas through literature search on domestic and foreign climate change correspondence policies. Also, construction of greenhouse gas reduction potential by reduction measures through LEAP model. There were a total of 5 reduction measures scenarios is Reference Scenario, LED Lighting, Energy Alternative, Green Life Practice, and Total Reduction Measure. As a result, greenhouse gas emission of Light Emitting Diode Lightings by 2020 was $1,181.0thousand\;tonCO_2eq$, decrease of 6.1% compared to the Reference Scenario and Greenhouse gas emission of Energy Alternative by 2020 was $1,171.6thousand\;tonCO_2eq$, decrease of 6.8% compared to the Reference Scenario. Greenhouse gas emission of Green Life Practice by 2020 was $1,128.7thousand\;tonCO_2eq$, decrease of 10.2% compared to the Reference Scenario. For Total Reduction Measures by 2020 emission was $966.9thousand\;tonCO_2eq$, decrease 23.1% compared to Reference Scenario.

• Water Engineering Research
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• v.3 no.4
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• pp.269-278
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• 2002

A cross sectional analysis for residential water demand was conducted to help understand and explain the spatial and temporal variations in per capita water use in the rapidly growing city of Riyadh, Saudi Arabia. The analysis was based on data previously collected from May 1983 to June 1984. 195 randomly selected households were distributed to three groups according to house condition, household income level, and social and cultural factors. The generated models using stepwise multiple regression indicated that plot size and number of males, females and children are the most significant independent variables. Although, coefficients of determination achieved for most of the developed models were low (0.2-0.5), the independent variables could still explain a part of the variations fur such a complex social and cultural structure.

• Proceedings of the KIEE Conference
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• summer
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• pp.639-641
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• 2004

This paper presents the evaluaton procedures and the estimation model for DSM Potential by stage on residential sector in Korea. In general, the evaluation process of the potential savings for DSM measures or programs consists of baseline electricity consumption forecast and potential evaluation such as maximum technical potential(MTP), phased-in technical potential(PTP), economic potential (EP), and achievable potential(AP). The purpose of this paper is to establish the evaluation process of those DSM potential for residential sector.