• Title/Summary/Keyword: Balanced energy load

검색결과 42건 처리시간 0.031초

센서 네트워크에서의 동적 크기 다중홉 클러스터링 방법 (Dynamic-size Multi-hop Clustering Mechanism in Sensor Networks)

  • 임유진;안상현
    • 정보처리학회논문지C
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    • 제12C권6호
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    • pp.875-880
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    • 2005
  • 제한된 자원을 가진 센서 노드들로 구성된 센서 네트워크에서 가장 중요한 이슈 중 하나는 쑤어진 에너지를 최대한 활용하여 네트워크 수명을 연장하는 것이다. 네트워크 수명을 연장하는 가장 대표적인 방법은 클러스터링 방법이다. 본 논문에서는 CH(Cluster Head) 및 후보 CH 노드들로부터 주어지는 통신 부하(load)와 잔여 에너지 양에 대한 정보를 기반으로 클러스터 크기를 동적으로 변화시켜 클러스터 내의 노드 밀도에 상관없이 각 CH에게 주어지는 부담을 일정하게 유지시키는 새로운 동적 크기 다중홉 클러스터링 방법을 제안한다. 시뮬레이션을 통해 제안된 방법이 기존의 단일홉 모드나 고정 크기 다중홉 모드 클러스터링 방법보다 우수함을 보였다.

사무소 건물을 위한 자연형 태양열 시스템의 응용 (Application of Passive Solar Systems for Office Buildings)

  • 박진서;서승직
    • 한국태양에너지학회 논문집
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    • 제30권4호
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    • pp.22-28
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    • 2010
  • This study analyzed the performance of passive solar system for office building. A unit model of the passive solar system was proposed in order to predict its performance under varying parameters and Seoul weather date. Steady state heat transfer equations were set up using a energy balanced equations and solved using a inverse matrix method. Numerical simulation program to analyze system was developed by using MATLAB. As the results, the passive solar system performance of office building was determined by the insolation and the outdoor air temperature. Also the passive solar system indicate 6.7~16.2% of annual average efficiency. In the comparison with other systems of the conventional wall, mass wall could reduce the heating loads of 7.1% and trombe wall could reduce heating loads of 11.5%. Through this study, performance of passive solar system for office building was verified by numerical method. Consequently, the passive solar system could operate an important role as the alternative for saving energy consumption of office building, and the additional studies should be made through the experimental method for the commercialization.

Active VM Consolidation for Cloud Data Centers under Energy Saving Approach

  • Saxena, Shailesh;Khan, Mohammad Zubair;Singh, Ravendra;Noorwali, Abdulfattah
    • International Journal of Computer Science & Network Security
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    • 제21권11호
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    • pp.345-353
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    • 2021
  • Cloud computing represent a new era of computing that's forms through the combination of service-oriented architecture (SOA), Internet and grid computing with virtualization technology. Virtualization is a concept through which every cloud is enable to provide on-demand services to the users. Most IT service provider adopt cloud based services for their users to meet the high demand of computation, as it is most flexible, reliable and scalable technology. Energy based performance tradeoff become the main challenge in cloud computing, as its acceptance and popularity increases day by day. Cloud data centers required a huge amount of power supply to the virtualization of servers for maintain on- demand high computing. High power demand increase the energy cost of service providers as well as it also harm the environment through the emission of CO2. An optimization of cloud computing based on energy-performance tradeoff is required to obtain the balance between energy saving and QoS (quality of services) policies of cloud. A study about power usage of resources in cloud data centers based on workload assign to them, says that an idle server consume near about 50% of its peak utilization power [1]. Therefore, more number of underutilized servers in any cloud data center is responsible to reduce the energy performance tradeoff. To handle this issue, a lots of research proposed as energy efficient algorithms for minimize the consumption of energy and also maintain the SLA (service level agreement) at a satisfactory level. VM (virtual machine) consolidation is one such technique that ensured about the balance of energy based SLA. In the scope of this paper, we explore reinforcement with fuzzy logic (RFL) for VM consolidation to achieve energy based SLA. In this proposed RFL based active VM consolidation, the primary objective is to manage physical server (PS) nodes in order to avoid over-utilized and under-utilized, and to optimize the placement of VMs. A dynamic threshold (based on RFL) is proposed for over-utilized PS detection. For over-utilized PS, a VM selection policy based on fuzzy logic is proposed, which selects VM for migration to maintain the balance of SLA. Additionally, it incorporate VM placement policy through categorization of non-overutilized servers as- balanced, under-utilized and critical. CloudSim toolkit is used to simulate the proposed work on real-world work load traces of CoMon Project define by PlanetLab. Simulation results shows that the proposed policies is most energy efficient compared to others in terms of reduction in both electricity usage and SLA violation.

2005 국민건강영양조사 자료 분석을 통한 한국 성인 남녀의 식이 중 Glycemic Index, Glycemic Load 및 탄수화물 섭취 수준과 당뇨 발병과의 관련성 연구 (Association between Glycemic Index, Glycemic Load, Dietary Carbohydrates and Diabetes from Korean National Health and Nutrition Examination Survey 2005)

  • 김은경;이정숙;홍희옥;유춘희
    • Journal of Nutrition and Health
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    • 제42권7호
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    • pp.622-630
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    • 2009
  • The purpose of this study was to establish an association between glycemic index (GI), glycemic load (GL), dietary carbohydrates and diabetes with the context of the current population dietary practice in Korea. The subjects of 3,389 adults (male 1,430, female 1,959) were divided into normal (serum fasting glucose < 100 mg/dL), impaired glucose tolerance (100 ${\leq}$ serum fasting glucose < 126 mg/dL), diabetes (serum fasting glucose > 126 mg/dL) by serum fasting glucose. Anthropometric and hematologic factors, and nutrient intakes, dietary glycemic index (DGI), dietary glycemic load (DGL) were assessed. Multiple logistic regression model was used to determine the odds ratios (ORs) and 95% confidence intervals for relationship of DGI, DGL, carbohydrates intakes, and diabetes. DGI and DGL were not significantly correlated with impaired glucose tolerance and diabetes. However, the risk of impaired glucose tolerance and diabetes showed a tendency to increase as increase of DGI after multivariate adjustment (age, education, income, region area, diabetes family history, smoking, drinking, exercise, energy intake) in male. The risk of impaired glucose tolerance and diabetes showed a tendency to increase in the DGI 71.1-74.8 after multivariate adjustment in female. DGL was inversely related to impaired glucose tolerance and diabetes in male. In female, however, DGL was positively related to impaired glucose tolerance and diabetes. In particular, the risk of diabetes increased positively in level of DGL 260.5, and remained after multivariate adjustment (Q5 vs Q1:2.38, 0.87-6.48). When percent energy intakes from carbohydrates were more than 70%, the risk of impaired glucose tolerance and diabetes increased in both male and female. In particular, when percent energy intakes from carbohydrates were more than 69.9%, the risk of diabetes increased positively in male (Q4 vs Q1:2.34, 1.16-4.17). In conclusion, above 70% energy intakes from carbohydrates appeared to be a risk factor of diabetes. It seemed that the meal with high GI and GL value must be avoided it. And also, the macronutrients of the meal must be properly balanced. In particular, it may be said that it is a preventive way for treatment of the diabetes to avoid eating carbohydrates of much quantity.

Scate: A Scalable Time and Energy Aware Actor Task Allocation Algorithm in Wireless Sensor and Actor Networks

  • Sharifi, Mohsen;Okhovvat, Morteza
    • ETRI Journal
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    • 제34권3호
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    • pp.330-340
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    • 2012
  • In many applications of wireless sensor actor networks (WSANs) that often run in harsh environments, the reduction of completion times of tasks is highly desired. We present a new time-aware, energy-aware, and starvation-free algorithm called Scate for assigning tasks to actors while satisfying the scalability and distribution requirements of WSANs with semi-automated architecture. The proposed algorithm allows concurrent executions of any mix of small and large tasks and yet prevents probable starvation of tasks. To achieve this, it estimates the completion times of tasks on each available actor and then takes the remaining energies and the current workloads of these actors into account during task assignment to actors. The results of our experiments with a prototyped implementation of Scate show longer network lifetime, shorter makespan of resulting schedules, and more balanced loads on actors compared to when one of the three well-known task-scheduling algorithms, namely, the max-min, min-min, and opportunistic load balancing algorithms, is used.

납 축전지의 병렬운전시 부하분담률 개선 (Improved Load Sharing Rate in Paralleled Operated Lead Acid Batteries)

  • 반한식;최규하
    • 전력전자학회논문지
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    • 제6권1호
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    • pp.34-42
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    • 2001
  • 전지는 화학에너지를 기계적인 처리과정 없이 전기에너지로 직접 전환하는 장치이다. 부하전압과 부하전류의 용량에 따라 단위전지를 직.병렬 연결하여 사용하게 되며, 전지의 병렬운전은 단독운전 보다 전압강하를 더 천천히 발생시키므로 전압강하에 민감한 전력변환장치들의 효율에 밀접한 관계를 가지고 있다. 병렬운전의 필요성과 장점 때문에 대부분의 축전지를 사용하는 시스템은 병렬운전을 하고 있고, 반면에 선.구 축전지 사이에서 순환 전류가 흐르고, 자가방전이 일어나는 단점 또한 가지고 있다. 신 축전지에서 충.방전 전류가 과다하게 흐르는 불평형 현상과 이로 인해 축전지의 수명단축을 일으키게된다. 본 논문에서는 마이크로 프로세서를 사용하여 선.구 축전지 사이의 볼평형 전류를 검출하고 외부저항을 첨가시켜 내부저항의 차이에 대한 감소효과를 얻어 불평형 전류를 보상하였다. 이를 실험을 통해 구현하였다.

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재생에너지원 보급에 따른 전력계통 안정도 분석 (Analysis of Power System Stability by Deployment of Renewable Energy Resources)

  • 곽은섭;문채주
    • 한국전자통신학회논문지
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    • 제16권4호
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    • pp.633-642
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    • 2021
  • 제한적인 탄소배출의 필요성과 연계되는 전력수요 증가는 재생에너지산업에서 폭발적인 상승을 가져오고 있다. 전력계통에서 전기공급은 항상 전기수요와 균형을 맞추어야 할 필요가 있고, 안전하고 믿을만한 안정적인 운영을 유지하기 위하여 계통손실이 발생한다. 높은 비율의 재생에너지 보급을 갖는 전력계통에서 과도 안정도, 미소신호 안정도 및 주파수 안정도와 같은 넓은 범위의 3가지의 난제가 있다. 과도안정도는 선로계전기 동작이나 발전기 탈락과 같은 장애에 대한 계통응답을 해석하는 것이다. 미소신호 안정도는 계통관성 저하에 따른 전압불안정, 주파수 급변, 전력진동 등이 발생가능한 계통에서 조그만 증분같은 작은 동요가 일어날 때 전력계통 동기를 유지하기 위한 계통의 기능이다. 주파수 안정도는 발전과 부하 사이에 심한 불균형이 발생하는 중대 계통혼란에서도 정상 주파수를 유지하기 위한 전력계통의 기능으로 간주한다. 본 논문에서 재생에너지 보급계획에 따른 계통모의를 수행하여 3종류 안정도를 검토하며, 또한 재생에너지원이 계통안정도에 미치는 영향을 분석한다.

에너지 효율성을 높인 무선 센서 네트워크의 부하 균형 군집모델 (Energy Effective Load Balanced Clustering Model for Wireless Sensor Networks)

  • 이재희;김병기;강승호
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2015년도 추계학술발표대회
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    • pp.379-382
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    • 2015
  • 무선 센서 네트워크는 제한된 에너지 자원으로 동작하므로 에너지 소비를 최소화하여 통신하는 기법이 무선 센서 네트워크 설계에 있어 매우 중요한 요소이다. 센서 노드들의 에너지 효율을 개선하기 위한 다양한 방법 중 클러스터링 알고리즘에 기반 한 계층적 라우팅 방법이 무선 센서 네트워크의 성능과 수명을 증가시키기 위해 효과적인 기술임이 알려지면서 다양한 접근법이 제시되고 있다. 클러스터 기반 아키텍처에서 클러스터의 부하 균형을 위한 효율적인 군집 모델은 게이트웨이와 센서 노드의 수명을 증가시켜 전체 네트워크의 성능을 향상 시킨다. 본 논문에서는 네트워크의 수명과 에너지 효율성을 높이기 위해 새로운 부하 균형 군집 모델을 제시한다. 또한 최적해를 보장하는 분기 한정 알고리즘을 설계하고 이를 이용해 다양한 조건에서 기존에 제시된 부하 균형 군집 모델과 실험하고 성능을 비교한다.

A New Approach to Short-term Price Forecast Strategy with an Artificial Neural Network Approach: Application to the Nord Pool

  • Kim, Mun-Kyeom
    • Journal of Electrical Engineering and Technology
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    • 제10권4호
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    • pp.1480-1491
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    • 2015
  • In new deregulated electricity market, short-term price forecasting is key information for all market players. A better forecast of market-clearing price (MCP) helps market participants to strategically set up their bidding strategies for energy markets in the short-term. This paper presents a new prediction strategy to improve the need for more accurate short-term price forecasting tool at spot market using an artificial neural networks (ANNs). To build the forecasting ANN model, a three-layered feedforward neural network trained by the improved Levenberg-marquardt (LM) algorithm is used to forecast the locational marginal prices (LMPs). To accurately predict LMPs, actual power generation and load are considered as the input sets, and then the difference is used to predict price differences in the spot market. The proposed ANN model generalizes the relationship between the LMP in each area and the unconstrained MCP during the same period of time. The LMP calculation is iterated so that the capacity between the areas is maximized and the mechanism itself helps to relieve grid congestion. The addition of flow between the areas gives the LMPs a new equilibrium point, which is balanced when taking the transfer capacity into account, LMP forecasting is then possible. The proposed forecasting strategy is tested on the spot market of the Nord Pool. The validity, the efficiency, and effectiveness of the proposed approach are shown by comparing with time-series models

Cyclic testing of short-length buckling-restrained braces with detachable casings

  • Pandikkadavatha, Muhamed S.;Sahoo, Dipti R.
    • Earthquakes and Structures
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    • 제10권3호
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    • pp.699-716
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    • 2016
  • Buckling-restrained braced frames (BRBFs) are commonly used as lateral force-resisting systems in the structures located in seismic-active regions. The nearly symmetric load-displacement behavior of buckling-restrained braces (BRBs) helps in dissipating the input seismic energy through metallic hysteresis. In this study, an experimental investigation has been conducted on the reduced-core length BRB (RCLBRB) specimens to evaluate their hysteretic and overall performance under gradually increased cyclic loading. Detachable casings are used for the concrete providing confinement to the steel core segments of all test specimens to facilitate the post-earthquake inspection of steel core elements. The influence of variable core clearance and the local detailing of casings on the cyclic performance of RCLBRB specimens has been studied. The RCLBRB specimen with the detachable casing system and a smaller core clearance at the end zone as compared to the central region exhibited excellent hysteretic behavior without any slip. Such RCLBRB showed balanced higher yielding deformed configuration up to a core strain of 4.2% without any premature instability. The strength-adjustment factors for the RCLBRB specimens are found to be nearly same as that of the conventional BRBs as noticed in the past studies. Simple expressions have been proposed based on the regression analysis to estimate the strength-adjustment factors and equivalent damping potential of the RCLBRB specimens.