• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.116-120
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• 2011

With population growth and quality of life improvement, household energy use also has increased. Under this circumstances, consumers are increasingly required to seek for efficient ways of energy saving. However, precedent studies have largely overlooked energy consumers' consumption behavior, and particularly little research has been conducted on energy consumption or saving patterns of residents living in apartments, which account for over 50% of the Korean housing market. Therefore, this study examined apartment residents' energy use behavior according to apartment residents' characteristics in order to efficient energy use and management. To this examination, survey was conducted of housewives living in apartments in Busan, and 403 data were analyzed by the SPSS WIN 12.0 program. With respect to their energy behavior according to characteristics of subjects, it was different depending on income, housing size, age, the length of residence, and the education standard. When higher income group and larger housing size group, residents were not doing 'passive saving' and 'comfort oriented.' When younger, they were 'comfort oriented.' When well-educated, they were 'comfort oriented.' Also, with regard to the length of residence, significant difference was found. The results of this study can be utilized as effective guidelines in efficient management, policy making, and education method reflecting energy use behavior of energy users.

• Journal of Families and Better Life
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• v.26 no.4
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• pp.1-11
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• 2008

This study investigated consumers' energy saving behavior and perceptions concerning the effectiveness of their energy saving behavior. A nation wide survey was conducted involving 2000 households in urban areas and the data from 1767 households were used for the analysis. excluding cases with incomplete responses. Descriptive analysis, factor analysis, and regression analysis were applied. The results were as follows. First, electricity saving behavior was classified into three categories: Thrift (reducing energy consumption), Purchase (buying energy saving appliances), and Control (checking the energy consumption). Second, consumers rated Thrift as the best way to save energy. Third, education, age, and household income were significantly related to energy saving behavior and perceptions on the effectiveness of energy saving behavior. Consumers using above average levels of electricity tended not to practice energy saving behavior and not to positively evaluate effectiveness of the energy saving behavior. Lastly, the implications for public policies to promote energy saving behavior are suggested.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.31-38
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• 2014

This study makes three apartment building complex an object of analyzing representative building types and energy consumption rate of house holds, and effect of outdoor air cooling. Recently created apatrment complex is composed of very various types of building, plan, and orientation etc. But, it is difficult to remark conclusively that these various types of buildings are designed energy-effectively. Because architects are hard to find useful energy design guideline for decision making. By the preceding study, the present condition and problem about this subject is grasped, apartment building types were examined and representative types were extracted. In this study, energy simulation was conducted, and the effect to outdoor air cooling was analyzed about representative types of the subject apartment complex. It is expected that this analysed results will be basic data for the more integrated study. Research consequence can be summarized as follow: 1) Besides solar gain, household layout of building, orientation, and plan etc. effects compositively on energy consumption rate. 2) The effect of ourdoor air cooling in building of tower type can be improved by arranging households appropriately.

• KIEAE Journal
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• v.10 no.1
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• pp.57-64
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• 2010

Electric energy is indispensible of the development of the industrial and living sector. Among the energy sectors, the building area shares 20% of the produced electric power in Korea. As we plan to supply the apartment, we need to forecast the required amount of the electric energy and supply the infrastructure to apartment for the lighting, cooling. Nonetheless, it is not easy to forecast the required amount of the electric energy, considering the management aspect, building physical aspect and social-geographic aspect. In this paper, it studied the estimation model of the electric energy, reflecting the affecting variables such as total area, number of household, geography and so on. The estimation model is proposed in 3-types which explained in central heating, individual heating and district heating, and each type have two estimation model, reflecting the affecting variable and corelation between variables to eliminate the muticolinearity. The unit of electric energy consumption per area and year is similar in three heating type and the results are as follows; the central heating is $34.446kWh/yr{\cdot}m^2$, individual type is $35.756446kWh/yr{\cdot}m^2$ and district heating is $34.285446kWh/yr{\cdot}m^2$.

• Advances in Energy Research
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• v.5 no.1
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• pp.57-64
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• 2017

Electricity is basic need for country development. But at the present time proper planning and policy is require at high pace for power generation network extension due to the increasing population growth rate. Present study aimed to analyze the present and future demand for electricity at household level in Province of Balochistan of Pakistan via simulation modeling. Data of year 2004-2005 was used as baseline data for electricity consumption to predict future demand of electricity at both rural and urban domestic level up to subsequent 30 years, with help of LEAP software. Basically three scenarios were created to run software. One scenario was Business-As-Usual and other two were green scenarios i.e., solar and wind energy scenarios. Results predicted that by using alternative energy sources, demand for electricity will be fulfill and will also reduce burden on non-renewable energy sources due to the greater potential for solar and wind energy present in Balochistan.

• Nutritional Sciences
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• v.2 no.2
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• pp.113-118
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• 1999

Critical evaluation of energy intake data from dietary studies is difficult but important. To investigate the underreporting of total energy intake, we analyzed the one-day dietary intake data collected by 24-hour recall method from 550 elderly Koreans aged 60 years or older. Underreporting was addressed by computing the ratio of energy intake (EI) to estimated basal metabolic rate (BMRest). EI : BMRest ratio was found to be 1.38 for, men and 1.33 for women, with about 14% of men and women classified as underreporters. Underreporting of energy intake was highest in men and women who were overweight, had lower family income, or no school education. For men, the most significant variables to predict the ratio of energy intake to estimated basal metabolic. rate (EI : BMRest) were weight status, members of household, alcohol consumption and age, while income and education level were most significant for women.

• Journal of Oral Medicine and Pain
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• v.6 no.1
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• pp.45-56
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• 1981

The demand and supply of dentists was studied by the econometrical model. It is based on the data of socio-economic-cultural statistic from 1967 to 1977; GNP, average monthly consumption expenditure per household, consumption of milk, populat ion, consumption of energy, water supply per person a day and entrance rate of senior high school. 1.The curved regression equation and multiple correlation coefficient (R)between the number of dentists(Y) and year (x)were $Y=4,122(1.06)^x$,R=0.995. 2. From 1982 to 1985, expected demand and expected supply will be approximately balanced. But dentists will be oversupplied conspicuously from the year of 1986. Such a oversupply will be remarkably incresed to the amount of 1860 in the year of 2000. 3. It is seemed that balanced number of graduates of dental colleges will be about 350 to the year of 1985, from the year of 1986, will be about 450, from the year of 1981, will be about 600 and from the year of 1996, will be about 700. 4. In 2000, persons served by each dentist will be 3550 by the expected supply and 4120 by the expected demand.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.9
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• pp.1276-1280
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• 2015

Among the various statistical factors for South Korea, the population has been steadily decreased by lower birthrate. Nevertheless, the number of household is constantly increasing amid population aging and single life style. In general, residential electricity use is more the result of the number of household than the population. Therefore, residential electricity consumption is expected to be far higher for decades to come. The existing long-term load forecasting, however, do not necessarily reflect the growth of single and two-member households. In this respect, this paper proposes the long-term load forecasting for residential users considering the effect of changes of the housing type, and in the case study the changes of the residential load pattern is analyzed for accurate long-term load forecasting.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.2
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• pp.79-88
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• 2017

One of the important applications of activity sensing in the home is energy monitoring. Many previous methodologies for detecting and recognizing household appliances have been proposed. This paper presents an approach that uses an energy metering circuit (EMC) to classify and identify the various electrical devices in home based on root-mean-square (RMS) consumed current value. EMC gathers the RMS current values created by appliance state transition (e.g., on to off) and apparatus operating process. In this paper, an identification algorithm is proposed to detect a change in current levels using the standard deviation of current signals and their average values. In addition, characteristic of the appliance is extracted concerning four feature parameters concerning the number of current levels, the minimum level, the maximum level, and signal-to-noise ratio (SNR) of them. Experiment results validate the reliable performance of the proposed identification method for 11 representative appliances.

• Journal of the Korean Professional Engineers Association
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• v.44 no.3
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• pp.25-29
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• 2011

The fuel cell, a renewable energy facility, hasn t come into wide use to the public. However, the usefulness of it is so high through Supply Business called Green Home, general auxiliary Supply Business, obligation to supply renewable energy for public organizations, Building Certification System and compulsory quota of using renewable energy to power generating businesses, etc. Intial installation was supported by government and a local autonomous entities in case of home fuel cell. Cost-benefits of installing it in home are approximately from $1,000 to $2,500. As Korea applies a progressive tax scheme in home electricity, energy costs are associated with electricity consumption. We should contemplate ways to make effective use of additional waste heat because technology of fuel cell is kind of a cogeneration.