• 제목/요약/키워드: power and energy consumption

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연료분석 방법을 적용한 산업단지 열병합발전소 이산화탄소 배출량 및 배출특성분석 (Analysis of the $CO_2$ emission amount and characteristics of combined heat and power plants in industrial complex by using the fuel analysis method)

  • 강석훈;정대헌
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.1243-1248
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    • 2008
  • $CO_2$ emission amount and characteristics of combined heat and power (CHP) plant in industrial complex of Korea is evaluated by using the fuel analysis method. Fuel analysis methods of several foreign countries and developed one which is developed considering the operation characteristics of the surveyed CHP plants are used. The operation data is surveyed for all of the CHP plants in industrial complex and is composed of fuel consumption amount, generation, sale and efficiency of heat and electricity, condensed steam enthalpy, and etc of the each CHP.

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국내 아역청탄의 발열량 추이 분석과 탄소배출계수 개발 (Sub-bituminous Coal's Calorific Value Trend Analysis and Carbon Emission Factor Development)

  • 김민욱;조창상;전영재;양진혁;신호철;전의찬
    • 한국기후변화학회지
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    • 제8권2호
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    • pp.145-151
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    • 2017
  • Korea's energy consumption has been constantly increasing. Final energy consumption was increased by anannual average of 2.9% compared to 2010. The consumption of all energy sources except for its oil was increased during the same time. While electric demand has increased coal consumption increased rapidly. Therefore, calorfic value and carbon emission factor development can improve the quality of Korea's greenhouse gas inventory. Calorific value is the amount of heat generated while burning coal. Caloric value is one of the most important factors in the development of carbon emission factors. Calorific value is used as the basis for the analysis of the various energy statistics. This study has calculated the sub-bituminous coal's calorfic value by the data received from domestic coal-fired power plants. Calorofic value's trend analysis period is the year of 2011~2015. Through analyzing the carbon content it was calculated the carbon emission factor. The sub-bituminous coal's uncertainty analysis was performed using a Monte Carlo simulation.

복합 바퀴-다리 이동형 로봇의 저전력 보행 기반 장애물 회피 알고리즘 (Obstacle Avoidance Algorithm of Hybrid Wheeled and Legged Mobile Robot Based on Low-Power Walking)

  • 정동혁;이보훈;김용태
    • 한국지능시스템학회논문지
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    • 제22권4호
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    • pp.448-453
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    • 2012
  • 최근 다양한 환경에서 지능형 로봇의 안정된 이동방법에 대한 연구가 활발히 이루어지고 있다. 본 논문에서는 복합 바퀴-다리형 이동 로봇의 설계 방법을 제안하고, LRF(Laser Range Finder)센서를 이용한 복합 이동형 로봇의 저전력 보행 기반 장애물 회피 알고리즘을 제안하였다. 로봇의 자세 안정화와 소비에너지를 줄이기 위해 모터 전류값을 바탕으로 자세를 보정하여 저전력 보행 알고리즘을 구현하였고, 이를 기반으로 LRF센서를 이용한 장애물 회피 알고리즘을 제안하였다. 로봇의 각 다리에서 소비되는 전력을 고르게 분포시키게 자세를 보정하여 보행을 안정화시키고, 최단 경로로 장애물을 회피하여 이동함으로써 전체 소비 에너지를 감소시키며 보행 안정성을 향상하였다. 본 연구에서 제안한 방법들은 실제 복합 이동 로봇의 보행 및 장애물 회피 실험을 통해 성능을 검증하였다.

노드의 여유 에너지 기반 이동 Ad Hoc 네트워크의 라우팅 프로토콜 (Energy-Aware Routing Protocol for Mobile Ad Hoc Network)

  • 권수근
    • 한국멀티미디어학회논문지
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    • 제8권8호
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    • pp.1108-1118
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    • 2005
  • Ad Hoc 네트워크는 무선접속을 사용하는 이동 노드들이 중앙관리 없이 구성되는 네트워크이다. Ad Hoc 네트워크의 노드는 제한된 전원을 가지며, 따라서 효율적으로 에너지를 사용하는 라우팅 방식에 대한 연구가 필요하다. 기존의 석유 에너지 기반 라우팅은 특정 노드의 과도한 에너지 소모에 따른 노드들간의 공정성, 네트워크 전체의 과도한 에너지 소비 등의 문제점을 가지고 있다. 본 논문에서는 기존의 문제점을 개선할 수 있는 Clustering Based Energy-Aware Routing (CBEAR) 방식을 제안하였다. 성능분석 결과 제안된 방식은 노드의 생존성을 유지하면서 노드들간의 공정성과 네트워크 전체의 에너지 효율성을 개선함을 확인하였다.

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낮은 일조량 구간에서 에너지 하베스팅 기술을 통한 발전량 향상 (Improvement of Power Generation through Energy Harvesting Technology in Low Sunlight Section)

  • 윤용호
    • 한국인터넷방송통신학회논문지
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    • 제22권3호
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    • pp.201-206
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    • 2022
  • 에너지 하베스팅(Harvesting)은 1954년 미국 벨 연구소가 태양광을 에너지로 바꾸는 태양전지 연구를 진행하면서 소개된 개념이다. 이러한 에너지 하베스팅 기술은 일상생활 속 버려지거나 미활용 되는 에너지를 모아 전력으로 재활용하는 기술로서 에너지를 효율적으로 활용할 수 있게 하는 친환경 에너지 방안 중 하나로서 다양한 에너지를 적용할 수 있다. 특별히 태양광발전시스템의 경우 맑은 날에 비해 흐린 날씨에 전력생산 Loss가 발생하는 형태로 인버터에서 발생하는 전력 소모를 줄이기 위해, 배터리를 이용하여 발생하는 전기를 저장함으로써 에너지 하베스팅을 적용할 수 있다. 따라서 본 논문에서는 일출, 일몰, 흐린 날씨 등의 낮은 일조량 구간에서 에너지 하베스팅 기술을 적용하여 인버터 동작 최저전압 이하 및 소멸하는 전력을 회수하여 발전량을 개선하고자 한다. 이에 따라 태양광발전 전력량에 따른 시스템 및 알고리즘 개발과 일몰, 일출, 그 밖에 환경에서 발전되는 저 전력을 이용한 시스템과 알고리즘 개발을 통해 연구내용을 증명하였다.

Development of Load Control and Demand Forecasting System

  • Fujika, Yoshichika;Lee, Doo-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.104.1-104
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    • 2001
  • This paper presents a technique to development load control and management system in order to limits a maximum load demand and saves electric energy consumption. The computer programming proper load forecasting algorithm associated with programmable logic control and digital power meter through inform of multidrop network RS 485 over the twisted pair, over all are contained in this system. The digital power meter can measure a load data such as V, I, pf, P, Q, kWh, kVarh, etc., to be collected in statistics data convey to data base system on microcomputer and then analyzed a moving linear regression of load to forecast load demand Eventually, the result by forecasting are used for compost of load management and shedding for demand monitoring, Cycling on/off load control, Timer control, and Direct control. In this case can effectively reduce the electric energy consumption cost for 10% ...

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저전력 임베디드 시스템을 위한 프로그램이 수행되는 메모리에 따른 소비전력의 정략적인 분석 (Quantitative Analysis of Power Consumption for Low Power Embedded System by Types of Memory in Program Execution)

  • 최하연;구영경;박상수
    • 한국멀티미디어학회논문지
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    • 제19권7호
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    • pp.1179-1187
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    • 2016
  • Through the rapid development of latest hardware technology, high performance as well as miniaturized size is the essentials of embedded system to meet various requirements from the society. It raises possibilities of genuine realization of IoT environment whose size and battery must be considered. However, the limitation of battery persistency and capacity restricts the long battery life time for guaranteeing real-time system. To maximize battery life time, low power technology which lowers the power consumption should be highly required. Previous researches mostly highlighted improving one single type of memory to increase ones efficiency. In this paper, reversely, considering multiple memories to optimize whole memory system is the following step for the efficient low power embedded system. Regarding to that fact, this paper suggests the study of volatile memory, whose capacity is relatively smaller but much low-powered, and non-volatile memory, which do not consume any standby power to keep data, to maximize the efficiency of the system. By executing function in specific memories, non-volatile and volatile memory, the quantitative analysis of power consumption is progressed. In spite of the opportunity cost of all of theses extra works to locate function in volatile memory, higher efficiencies of both power and energy are clearly identified compared to operating single non-volatile memory.

Applying Workload Shaping Toward Green Cloud Computing

  • Kim, Woongsup
    • International journal of advanced smart convergence
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    • 제1권2호
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    • pp.12-15
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    • 2012
  • Energy costs for operating and cooling computing resources in Cloud infrastructure have increased significantly up to the point where they would surpass the hardware purchasing costs. Thus, reducing the energy consumption can save a significant amount of management cost. One of major approach is removing hardware over-provisioning. In this paper, we propose a technique that facilitates power saving through reducing resource over provisioning based on virtualization technology. To this end, we use dynamic workload shaping to reschedule and redistribute job requests considering overall power consumption. In this paper, we present our approach to shape workloads dynamically and distribute them on virtual machines and physical machines through virtualization technology. We generated synthetic workload data and evaluated it in simulating and real implementation. Our simulated results demonstrate our approach outperforms to when not using no workload shaping methodology.

DRAM&PCM 하이브리드 메모리 시스템을 위한 능동적 페이지 교체 정책 (Active Page Replacement Policy for DRAM & PCM Hybrid Memory System)

  • 정보성;이정훈
    • 대한임베디드공학회논문지
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    • 제13권5호
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    • pp.261-268
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    • 2018
  • Phase Change Memory(PCM) with low power consumption and high integration attracts attention as a next generation nonvolatile memory replacing DRAM. However, there is a problem that PCM has long latency and high energy consumption due to the writing operation. The PCM & DRAM hybrid memory structure is a fruitful structure that can overcome the disadvantages of such PCM. However, the page replacement algorithm is important, because these structures use two memory of different characteristics. The purpose of this document is to effectively manage pages that can be referenced in memory, taking into account the characteristics of DRAM and PCM. In order to manage these pages, this paper proposes an page replacement algorithm based on frequently accessed and recently paged. According to our simulation, the proposed algorithm for the DRAM&PCM hybrid can reduce the energy-delay product by around 10%, compared with Clock-DWF and CLOCK-HM.

3Kw급 계통연계형 인버터의 MPPT적용 (Applying MPPT of Grid-connected Inverter)

  • 김기현;유권종;정영석;김영석
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2001년도 전력전자학술대회 논문집
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    • pp.135-137
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    • 2001
  • Recently, according to developing industry and life style, power consumption have been increased year after year. Currently these much power demand from power consumer weakening the allowable power reverse margin in summer. As on of the remedies about this problem, the small scale grid-connected photovoltaic system is considered for auxiliary power source. Generally, grid-connected Inverter have a isolation transformer for electrical isolation from utility. This paper proposed transformerless system topology an inquiry validity simulation.

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