• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.87-92
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• 2019

This paper describes the pattern analysis for data of the factory energy consumption by using machine learning method. While usual statistical methods or approaches require specific equations to represent the physical characteristics of the plant, machine learning based approach uses historical data and calculate the result effectively. Although rule-based approach calculates energy usage with the physical equations, it is hard to identify the exact equations that represent the factory's characteristics and hidden variables affecting the results. Whereas the machine learning approach is relatively useful to find the relations quickly between the data. The factory has several components directly affecting to the electricity consumption which are machines, light, computers and indoor systems like HVAC (heating, ventilation and air conditioning). The energy loads from those components are generated in real-time and these data can be shown in time-series. The various sensors were installed in the factory to construct the database by collecting the energy usage data from the components. After preliminary statistical analysis for data mining, time-series clustering techniques are applied to extract the energy load pattern. This research can attributes to develop Factory Energy Management System (FEMS).

• ICROS
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• v.15 no.4
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• pp.19-27
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• 2009

최근에는 여름철 냉방부하가 현격하게 증가하고 있는 상황에서, 일사량 특성공선과 부하특성곡선의 유사성을 이용하여 여름철에 상호보완효과를 얻을 수 있는 태양광발전방식의 보급 활성화는 에너지 소비 측면에서도 매우 바람직하다 할 수 있다.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.534-537
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• 2008

하이브리드자동차의 연료소비율 시험 시 초기 SOC 조건에 따른 SOC와 연비 변화 특성을 파악하기 위해 2종의 차종을 선택하여 UDDS 모드주행 실험을 실시하였다. 실험결과 Strong type 자동차는 주행시작 약 550초 경과 후 SOC 52 $\sim$ 54%로 수렴하였다. 또한 일반 시가지 주행조건에서는 SOC를 50$\sim$55 % 범위에서 제어함을 알 수 있으며, 초기 SOC 조건에 따라 연비는 약 79%의 편차가 나타났다. 이는 저속구간에서 순수 전기자동차 구동이 구현됨으로써 SOC 70%에서 큰 연비 상승 효과가 나타나는 것으로 판단 된다. Mild type 자동차는 연비가 초기 SOC 조건에 따라 약 5%의 편차가 나타남을 알 수 있었으며, SOC 변화특성은 배터리 충전상태에 따라 충전량 제어는 이루어지나 가속 시 어시스트만 이루어지는 시스템적 특성상 효율적인 SOC 제어가 이루어지지 않아 연비에는 큰 영향을 주지 않는 것으로 생각된다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1213_1214
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• 2009

증기 분사식 가습기의 소비전력량을 줄이기 위하여 가습기의 특성을 분석하여 소비전력량당 증기발생량을 향상하여 에너지 소비를 줄이고자 한다. 이를 위하여 가습기의 전극재질, 전극형상, 수질 등에 대한 각각의 실험조건에 따라 증기 발생량, 전기 전도도를 구하여 가습조에서 발생하는 물리적 현상을 규명하고 전극 재질 및 형상에 따른 열효율을 비교 검토한다.

• The Magazine for Energy Service Companies
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• s.69
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• pp.26-29
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• 2011

우리나라에서 사용하는 총에너지의 97%를 해외에 의존하고 있으며, 총에너지의 약 30%를 건물에서 소비하고 있다. 건물에서의 에너지절약 및 효율적 관리가 우리나라 정책방향인 저탄소 녹색성장에 크게 기여하리라는 것은 쉽게 예측할 수 있다. 최근 국내에서 건물의 효율적인 관리를 위하여 BEMS(Building Energy Management System)가 도입되고 있는 실정이다. 본고에서는 저탄소 녹색성장에 기여할 수 있는 건물에너지관리시tm템인 BEMS의 기술개발 현황과 그 동향에 대해 알아보기로 한다.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.458-463
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• 2015

These days, streaming users are using ABR (Adaptive Bitrate) technique services by requesting the most adequate video rate selectively based on their own channel states. Most ABR related video rate adaptation techniques are only focused on real-time bitrate adaptations based on their own channel state, and misses energy limited characteristics that come from a mobile device's battery dependence. In other words, the mobile device's important characteristics and accompanying energy consumption are not being considered and causes dissatisfaction over streaming services. In this paper, we propose energy efficient prefetching based dynamic adaptive video streaming techniques, which saves unnecessary consumed energy while providing video rates of the same performance. Our scheme continuously turns off energy modules with enough streaming in the buffer and turns on in case of the opposite situation to save energy. Through the performance evaluation, this study's proposed scheme is 60% better than the previous work at global average mobile download speed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.311-312
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• 2024

본 논문에서는 대규모 LoRaWAN 환경에서 무선 통신을 통한 단말기와 게이트웨이 간에 패킷의 송수신에 있어 시간 및 소비전력의 특성의 도출이 가능한 시뮬레이터인 LoRaEnergySim에서 LBT 방식의 미디어 접근 제어 방식을 지원하도록 개선하여 국내 TTA 표준에 따른 시뮬레이션이 가능하도록 한다. 이를 위해 LoRaEnergySim 프레임워크 노드의 상태 전환 모델에 LBT 상태를 추가하고 에너지 프로파일에 LBT 상태에서 소비되는 에너지 항목을 추가한다. 개선된 LoRaEnergySim 시뮬레이션의 기능을 검증하기 위해 임의의 패킷에 대해 상태 전환 모델에 따라 하나의 상태에서 소비되는 전력과 다음 상태로 전이되기까지 소요되는 시간을 도식화 할 수 있는 부가 모듈을 구현한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.925-934
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• 2020

In order to improve the energy efficiency of ships, this study designed an energy saving system (ESS) algorithm suitable for ship operation characteristics, and analyzed energy consumption patterns based on the operation characteristics of ships equipped with specific systems. Therefore, we intend to study techniques that can reduce the cost of operation. To this end, we intend to study to implement an efficient system that can increase energy efficiency that reflects the characteristics of the propulsion system of the ship based on the power generation system. The vessel to be researched is intended to conduct research on HVACS (Heating, Ventilation and Air Conditioning) mounted on LNG carriers, and based on this, it has energy with scalability to be applied to future-based vessels such as electric propulsion ships and autonomous ships. I would like to propose a savings technique.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.535-538
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• 2010

In this paper, this study goal is development for WSN-based fire prevention systems of using temperature/humidity Sensor. So, distributed sensor nodes structural and packet transfer characteristics study for fire monitoring. Battery-operated wireless sensor networks is data transfer manner of multi-hop. WSN fire prevention system need to sensor nodes management and energy consumption of efficient adjust for sustained action. Thus, study with efficient energy consumption the normal WSN environment is not, characteristics for WSN fire prevention environment.

• Journal of Environmental Policy
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• v.11 no.4
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• pp.85-105
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• 2012

In this paper, the energy efficiency of wastewater utilities was evaluated to explore ways to save energy via operational measures. The correlation of each wastewater characteristic parameter to energy was assessed to find a set of parameters that explained most of the variations in energy use among utilities. The results show that increases in inflow, influent COD concentration, and ratio of advanced treatment generally increased the energy use. On the other hand, increases in load factor (influentaverage flow/design flow) reduced the energy use. In the regression analysis, the energy efficiency was highest in the A2O advanced process. On the other hand, the membrane process (among the advanced processes) and the contacted aeration process (among the secondary processes) require more efforts in saving energy. However, the data base system related to energy use must be supplemented in order for more accurate analysis of energy consumption in wastewater treatment facilities. In particular, i) electricity consumption of relay pumps and, ii) energy usage per unit process, iii) pump power usage to discharge treated wastewater in a long distance, if necessary, and iv) alternative energy production and utilization status must be recorded. By utilizing the results of the analysis conducted in this study, it is possible to quantify a level of energy savings needed and establish customized energy saving measures to achieve a certain target level for benchmarking a successful case of wastewater utilities.