• 전기학회논문지
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• 제66권7호
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• pp.1025-1031
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• 2017

This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.

• 대한전기학회논문지:전력기술부문A
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• 제52권2호
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• pp.79-89
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• 2003

A research about finding a new electricity load model that is sensitive to the price of electricity is conducted. This new model i5 polynomial type price sensitive electricity consumption model, while former electricity consumption models have exponential terms or statistic terms. The pattern of electricity consumption of each electricity using devices were identified first, then the proportion of the devices at buses or nodes are investigated, finally weighted sum of electricity consumption and the proportion makes the load model or consumption model of electricity at one bus or node. This new model is easy to use in the simulations or calculations of the electricity consumption, because the arithmetic of functions with polynomial terms are easy compared to the functions with transcendental terms.

• 한국기후변화학회지
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• 제7권1호
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• pp.95-101
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• 2016

This study measured the amount of electricity consumed by the vending machines installed on campus and aim to come up with measures to address excessive consumption of electricity. We chose 10 universities located in the city of Seoul and Gyeonggi province and measured electricity consumption of 10 vending machines installed in each university. We then calculated annual electricity consumption of the machines based on previously calculated electricity consumption of 100 samples. According to the result of the calculation, it is estimated that the machines studied on consume 700 KWh a year. This amount could translate into approximately 3,000 tons of annual carbon emissions and 640 million KRW in annual electricity bills. It was also found that there is a significant difference between ordinary vending machines and machines certified for being eco-friendly and energy efficient, in terms of electric power consumption. It is expected that, if the ordinary machines are replaced with the eco-friendly and high-efficient machines, 640 KWh of electricity, 300 kg of carbon, and 61,640 KRW in electricity bills would be saved, which means 28% saving in energy, emissions and bills. In conclusion, we determined that, as one of the ways to reduce electric power consumption and carbon emissions, old vending machines on campus could be replaced with eco-friendly and high-efficient machines.

• 품질경영학회지
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• 제50권3호
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• pp.617-634
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• 2022

Purpose: This paper introduces Pohang University of Science Technology (POSTECH) advanced metering infrastructure (AMI) and Open Innovation Big Data Center (OIBC) platform and analysis results of electricity consumption data collected via the AMI in POSTECH campus. Methods: We installed 248 sensors in seven buildings at POSTECH for the AMI and collected electricity consumption data from the buildings. To identify the amounts and trends of electricity consumption of the seven buildings, electricity consumption data collected from March to June 2019 were analyzed. In addition, this study compared the differences between the amounts and trends of electricity consumption of the seven buildings before and after the COVID-19 outbreak by using electricity consumption data collected from March to June 2019 and 2020. Results: Users can monitor, visualize, and download electricity consumption data collected via the AMI on the OIBC platform. The analysis results show that the seven buildings consume different amounts of electricity and have different consumption trends. In addition, the amounts of most buildings were significantly reduced after the COVID-19 outbreak. Conclusion: POSTECH AMI and OIBC platform can be a good reference for other universities that prepare their own microgrid. The analysis results provides a proof that POSTECH needs to establish customized strategies on reducing electricity for each building. Such results would be useful for energy-efficient operation and preparation of unusual energy consumptions due to unexpected situations like the COVID-19 pandemic.

• 한국주거학회논문집
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• 제22권6호
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• pp.43-50
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• 2011

Korea is a country with an exceptionally high energy consumption. For economic reasons, Korean households are forced to save more energy. Korea's household energy consumption has grown slowly compared to other sectors and household energy consumption per capita is lower than the OECD average. However, its per capita electricity consumption soared and is expected to remain climbing mainly due to the increasing number of one-person households. To establish an effective strategy against a possible electricity shortage, the actual condition survey of electricity energy consumption first needs to be clearly understood. This study adopted both a general survey and a detailed survey of people living in apartment housings and data was collected on electrical appliance use according to individual schedules. Based on these data, the results were used to attempt to analyze electricity consumption patterns resulting from energy using activities of residents and to determine electricity consumption propensity according to each household member's characteristics in apartment housings.

• KIEAE Journal
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• 제11권5호
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• pp.91-96
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• 2011

This study is to analysis the characteristics of electric power consumption of apartments complex in Korea. This study shows the pattern of electric power consumption and correlation of each apartment complex's completion year monthly and timely. With this result, we are able to predict the demand pattern of electricity in a house and make the schedule by demand pattern. It is expected this data is used as reference of electric consumption of Daejeon area to operate the simulation tools to predict the building energy. The yearly data of 10 apartment complexes of 2010 are analyzed. The results of this study are followed. The averaged amount of electricity consumption in winter is higher as summer because of the high capacity of heating equipment. All of the house has electric base load from 0.26kWh to 0.5kWh. The average of the electricity consumption of month is shown as 310.2kWh. A week is seperated, as 4 part such as week, weekend, Saturday and Sunday. During week, the average of timely electricity consumption is shown as 0.426kWh. The Saturday consumption is 0.437kWh. The Sunday is 0.445kWh. The peak electricity consumption in summer and winter is measured. The peak consumption on summer season is 1.389kW on 22th August 64% higher than winter season 0.887kW on 3rd January.

• 에너지공학
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• 제21권1호
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• pp.81-85
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• 2012

Electricity is the basic building block of economic development, and constitutes one of the vital infra-structural inputs in socio-economic development. The demand for electricity has been increasing due to extensive urbanization, industrialization, and a rise in the standard of living, as is the case with residential electricity consumption. This paper attempts to estimate the consumer surplus and the economic value of the residential consumption of electricity in Seoul to assist in decision-making in electricity management. The estimated consumer surplus represents the value of the area under the demand curve, above the actual price that is paid for residential electricity consumption. The estimated annual consumer surplus and economic value for the year 2005 amount to 2,144.7 and 3,727.4 billion won, respectively. The estimates per kWh were 184.9 and 316.0 won, respectively, which imply that the consumer surplus and the economic value of residential electricity consumption significantly outweigh the average price of electricity in 2005 of 91.1 won per kWh.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.151-155
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• 2005

An electricity consumption is closely related to the economic growth structure. The change of economic growth structure affects the pattern of electricity consumption widely and severely. This paper gives that the primary changing factors of electricity growth are economic growth, change of industry structure(the change of electricity consumption ratio in case of residential sector), and the effect of electricity saying. It gives a model to analyze the influence of GDP to the change of electricity consumption patterns by sector through the period of pre and post 1998(IMF, financial crisis) to observe the contribution of each factor to the growth of electricity demand. It is anticipated that this study shows the feasible scheme of economic structure to become the developed country.

• 대한가정학회지
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• 제46권3호
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• pp.37-47
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• 2008

This study investigated (1) consumer perception about the level of electricity price, (2) the amount of household electricity consumption, and (3) consumer perception on electricity pricing system reform. For data collection, a national wide survey was conducted between November 22 and December 15, 2006. Excluding 233 cases, because of incomplete responses, data from 1767 households were analyzed. The major findings were as follows; More than 50% of the respondents consumed between 100-300kWh of electricity per month. Household size and income were significantly associated with electricity consumption. Approximately 50% of respondents perceived that electricity was being overcharged. Approximately 50% of the respondents positively evaluated the effects of the graduation pricing system. Households consuming more than 300kWh of electricity per month preferred a flat unit price. Based on these results, we suggest the implications to reforming the electricity pricing system.

• 한국주거학회논문집
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• 제23권6호
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• pp.31-38
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• 2012

In this paper, we draws tendency of the electricity consumption in residential buildings according to inhabitants Composition types and the level of incomes. it is necessary to reduce energy cost and keep energy security through the electricity demand forecasting and management technology. Progressive social change such as increases of single household, the aging of society, increases in the income level will replace the existing residential electricity demand pattern. However, Only with conventional methods that using only the energy consumption per-unit area are based on Energy final consumption data can not respond to those social and environmental change. To develop electricity demand estimation model that can cope flexibly to changes in the social and environmental, In this paper researches propensity of electricity consumption according to the type of residents configuration, the level of income. First, we typed form of inhabitants in residential that existed in Korea. after that we calculated hourly electricity consumption for each type through National Time-Use Survey performed at the National Statistical Office with considering overlapping behavior. Household appliances and retention standards according to income level is also considered.