Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 46, Pages: 1-5
Hyuncheol Seo1 , Jungwoo Kim2 and Won-hwa Hong1*
1School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu − 41566, Korea; [email protected], [email protected] 2Department of Architecture, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, Korea; [email protected]
*Author for correspondence
School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu − 41566, Korea; [email protected]
Objectives: Quantitative data are presented for the preparation of energy saving scenarios for university town singlehouseholds in South Korea estimated to be one million in number. Methods/Statistical Analysis: To extract the living activities of single-households around university towns and the periods of time spent by activity, a Time-use Survey was conducted with 31 subjects. Information on the home appliances retained by the subject households and the specifications were surveyed and the types of appliances used when the Time-use Diary was recorded and the amounts of time spent to use the appliances were recorded. Findings: The retention ratio and the specification of household appliances retained by the single households around universities were surveyed and presented. Even for the single households, although the basic household appliances necessary to conduct living activities tend to be retained in general, the specification aspect exhibited large differences compared to general households. In this study, the living activity characteristics of single households were classified by day of week as well as by period, the time required and energy consumption for each living activity were surveyed and analyzed, and quantitative data were presented for energy consumption. In the case of single households, the power consumption was shown to be higher for weekdays rather than for weekends, and during vacations rather than during semester. Improvements/Applications: The results of this study can be utilized when segmented energy consumption analyses are conducted utilizing national statistical data such as Time-Use Surveys.
Keywords: Household Appliances, Life Conduct Characteristics, Power Consumption, Single Household, University Town
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