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정영모 연구실
한성대학교 기계전자공학부
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정영모 연구실

한성대학교 기계전자공학부 정영모 교수

본 연구실은 무선통신과 디지털 변복조·신호처리를 기반으로 통신 시스템의 성능 분석을 수행해 왔으며, 최근에는 AMI·PLC 기반 스마트 미터링, 전력 사용 데이터의 통계학습, 주택 및 아파트 전기요금 예측, 전기차 충전 요금제 및 에너지 이용 최적화 등 정보통신과 에너지 데이터를 결합한 융합 연구를 활발히 수행하고 있다.

대표 연구 분야
연구 영역 전체보기
무선통신 및 디지털 변복조 신호처리 thumbnail
무선통신 및 디지털 변복조 신호처리
주요 논문
5
논문 전체보기
1
article
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gold
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인용수 1
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2024
Electricity Bill Savings from Reduced Household Energy Consumption in Apartment Complexes
Young Mo Chung, Beom Jin Chung, Dong Sik Kim
IF 3.2
Energies
Apartments account for 64.6% of all housing units in the Republic of Korea, and most of them receive electricity under a contract, which includes a progressive rate plan. Recently, due to the electrification of energy used in homes and the growing adoption of electric vehicles, electricity consumption in apartment complexes has been gradually increasing. Given the characteristics of the progressive rate system, an increase in electricity usage results in a significant higher rise in electricity bills. Thus, an effective alternative is required to reduce electricity bills for each household. In this paper, the savings in electricity bills achieved by reducing household electricity usage are analyzed from both apartment complex and individual household perspectives, using metering data from 13,332 households. When households are sorted by the amount of savings in descending order, the resulting values are found to follow a negative exponential curve. This indicates that the benefits from reducing electricity usage in households with higher saving are significantly larger compared to other ones. We analyzed bill savings when electricity usage reductions were selectively applied to the top 10%, 20%, and 30% of households with the largest savings. From the results, it is found that the largest savings in electricity bills for households are achieved when usage reductions are applied to the top 10% of households. It is expected that this amount of savings would encourage these households to reduce their electricity consumption. Additionally, it is found that the savings for apartment complexes and the total savings for selected households are not the same, resulting in changes in the bills for households that do not reduce their usage. From the results, it was observed that when the usage reduction of selected households is small or the proportion of households reducing usage is low, the common area charges for non-reducing households tend to increase, leading to higher electricity bills. On the contrary, when the usage reduction of selected households is large or the proportion of households reducing usage is high, the common area charges for non-reducing households tend to decrease, resulting in lower electricity bills.
https://doi.org/10.3390/en17215488
Apartment
Consumption (sociology)
Electricity
Energy consumption
Environmental economics
Agricultural economics
Natural resource economics
Economics
Business
Architectural engineering
2
article
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gold
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인용수 4
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2024
On the Electric Energy Rate Plans in Charging Electric Vehicles
Dong Sik Kim, Young Mo Chung, Beom Jin Chung
IF 3.6
IEEE Access
To charge the electric energy for electric vehicles (EVs), various charging rate plans have been developed based on AC slow charging and DC fast charging. Flat rate plans are available for both AC and DC charging, where the EV charging fee typically depends on the amount of electric energy used for charging. For AC charging, a dynamic rate plan of time-of-use (TOU) is provided in addition to the flat rate plan. For DC charging, there are also subscription or membership rate plans that are driven by promotions for purposes such as car sales or encouraging the use of specific charging stations. In this paper, by formulating charging equations in terms of the charging fees, we first summarize and compare the various charging rate plans currently being commercialized. Furthermore, assuming a combined usage scenario of both AC and DC charging, combined charging plans of the flat and TOU rates for AC charging, and the flat and subscription rates for DC charging are analyzed. Through simulations based on charging fee formulations for the combined charging scenario, the analyses are conducted and appropriate charging plans for specific driving distances and DC charging portions depending on the EV drivers are suggested. The formulations in this paper can be extended to accommodate various charging rates and base fees, providing specific guidelines selecting for appropriate charging types.
https://doi.org/10.1109/access.2024.3428495
Electric vehicle
Automotive engineering
Charging station
Computer science
Electrical engineering
Plan (archaeology)
Energy (signal processing)
Engineering
Physics
Power (physics)
3
article
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gold
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인용수 10
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2023
Statistical Analysis of Electric Vehicle Charging Based on AC Slow Chargers
Dong Sik Kim, Young Mo Chung, Beom Jin Chung
IF 3.2
Energies
Regarding DC fast chargers, various studies, such as the charge scheduling, have been conducted. On the other hand, research on AC slow chargers has rarely been conducted due to the predictable and simple usage pattern. Despite the long charging times of AC slow chargers, which use the existing electric outlets with relatively low supplied power, these chargers are suitable for daily home charging of electric vehicles (EVs) during the night. Due to their low installation costs, they are likely to be the dominant type of charging equipment. In this paper, the EV charging process based on AC slow chargers, which supply a maximum power of 3 kW from an AC 220 V outlet, is analyzed by constructing a simple charging model. The charging time and fees are statistically derived and investigated. Furthermore, power load curves for charging EVs with the 3 kW charger are observed. From the statistical analyses, we conclude that daily charging of EVs can be an appropriate scenario in using the AC slow chargers, and the power load can be spread without employing any demand response schemes.
https://doi.org/10.3390/en16062735
Electric vehicle
Automotive engineering
Electrical engineering
Power (physics)
Engineering
Computer science
Physics