• Title/Summary/Keyword: Energy applications

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지연 허용 스마트폰 어플리케이션을 위한 배터리 인지 데이터 전송 (Battery-Aware Data Transmission for Delay-Tolerant Smartphone Applications)

  • 최옥영;정송
    • 한국통신학회논문지
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    • 제41권9호
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    • pp.1054-1056
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    • 2016
  • 최근 스마트폰 사용량이 증가하고 에너지 소모량도 크게 증가함에 따라, 스마트폰 사용자들이 배터리부족으로 많은 불편을 겪고 있다. 이에 따라 스마트폰의 에너지 관리 및 절약을 위한 연구가 많이 이루어지고 있다. 본 연구에서는 먼저 배터리 고갈로 인한 사용자의 불편함을 피하기 위하여, 스마트폰 사용자의 에너지 사용 패턴 분석을 통한 배터리 잔량 예측 모델을 제안한다. 제안한 예측 모델을 기반으로 지연허용 응용을 위한 에너지 효율적 데이터 전송방법을 제안한다.

Quantitative Measurement of Ethane Using Mid-infrared Cavity Ring-down Spectroscopy

  • Yonghee Kim;Byung Jae Chun;Lim Lee;Kwang-Hoon Ko;Seung-Kyu Park;Taek-Soo Kim;Hyunmin Park
    • Current Optics and Photonics
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    • 제7권4호
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    • pp.457-462
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    • 2023
  • Quantitative measurement of trace ethane is important in environmental science and biomedical applications. For these applications, we typically require a few tens of part-per-trillion level measurement sensitivity. To measure trace-level ethane, we constructed a cavity ring-down spectroscopy setup in the 3.37 ㎛ mid-infrared wavelength range, which is applicable to multi-species chemical analysis. We demonstrated that the detection limit of ethane is approximately 300 parts per trillion, and the measured concentration is in agreement with the amounts of the injected sample. We expect that these results can be applied to the chemical analysis of ethane and applications such as breath test equipment.

Applications of metamaterials: Cloaking, Photonics, and Energy Harvesting

  • Kim, Kyoungsik
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2015년도 제49회 하계 정기학술대회 초록집
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    • pp.77.2-77.2
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    • 2015
  • Recently, metamaterials attracted much attention because of the potential applications for superlens, cloaking and high precision sensors. We developed several dielectric metamaterials for enhancing antireflection or light trapping capability in solar energy harvesting devices. Colloidal lithography and electrochemical anodization process were employed to fabricate self-assembed nano- and microscale dielectric metamaterials in a simple and cost-effective manner. We improved broadband light absorption in c-Si, a-Si, and organic semiconductor layer by employing polystyrene (PS) islands integrated Si conical-frustum arrays, resonant PS nanosphere arrays, and diffusive alumina nanowire arrays, respectively. We also demonstrated thin metal coated alumina nanowire array which is utilized as an efficient light-to-heat conversion layer of solar steam generating devices. The scalable design and adaptable fabrication route to our light management nanostructures will be promising in applications of solar energy harvesting system. On the other hands, broadband invisible cloaks, which continuously work while elastically deforming, are developed using smart metamaterials made of photonic and elastic crystals. A self-adjustable, nearly lossless, and broadband (10-12GHz) smart meatamaterials have great potentials for applications in antenna system and military stealth technology.

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Applications of Agent-Based Modeling (ABM) in Enhancing Facility Operation and Management

  • Khodabandelu, Ali;Park, JeeWoong
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.393-400
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    • 2022
  • Agent-based modeling (ABM), as a relatively new simulation technique, has recently gained in popularity in the civil engineering domain due to its uniquely advantageous features. Among many civil engineering applications, ABM has been applied to facility operation and management, such as energy consumption management, as well as the enhancement of maintenance and repair processes. The former studies used ABM to manage energy consumption through simulating human energy-related behaviors and their interactions with facilities, as well as electrical, heating, and cooling systems and appliances, while the latter used ABM to enhance maintenance process through facilitating coordination, negotiation, and decision making between facility managers, service providers, and repair workers. The present study aims to provide a short qualitative review on the most recent applications of ABM in the above-mentioned areas. Based on the review and follow-up analysis, the study identifies the advantages, disadvantages, and limitations of ABM applications to facility operation and management, and offers several potential future research topics in the hope of filling the existing literature gaps.

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국내 수소사고사례 분석 (Analysis of Hydrogen Accident in Korea)

  • 조영도;탁송수;최경석;이종락;박교식
    • 한국수소및신에너지학회논문집
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    • 제15권1호
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    • pp.82-87
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    • 2004
  • Hydrogen is considered to be the most important future energy carrier in many applications reducing greenhouse gas emissions significantly. To be applicable as energy carrier the safety issues associated with hydrogen applications needs to be investigated and fully understood. In order to analyze the risks associated with hydrogen applications, accidents associated with hydrogen in Korea from 1963 to 2002 have been analysed in this work. From analysis of accidents, we propose the necessity of research on hydrogen releases, dispersion in air, and explosion due to high hazardous of hydrogen.

Adaptive Cloud Offloading of Augmented Reality Applications on Smart Devices for Minimum Energy Consumption

  • Chung, Jong-Moon;Park, Yong-Suk;Park, Jong-Hong;Cho, HyoungJun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권8호
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    • pp.3090-3102
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    • 2015
  • The accuracy of an augmented reality (AR) application is highly dependent on the resolution of the object's image and the device's computational processing capability. Naturally, a mobile smart device equipped with a high-resolution camera becomes the best platform for portable AR services. AR applications require significant energy consumption and very fast response time, which are big burdens to the smart device. However, there are very few ways to overcome these burdens. Computation offloading via mobile cloud computing has the potential to provide energy savings and enhance the performance of applications executed on smart devices. Therefore, in this paper, adaptive mobile computation offloading of mobile AR applications is considered in order to determine optimal offloading points that satisfy the required quality of experience (QoE) while consuming minimum energy of the smart device. AR feature extraction based on SURF algorithm is partitioned into sub-stages in order to determine the optimal AR cloud computational offloading point based on conditions of the smart device, wireless and wired networks, and AR service cloud servers. Tradeoffs in energy savings and processing time are explored also taking network congestion and server load conditions into account.

Electrochemical method for determining the solubility of impurities in lead-bismuth eutectic using molten salt electrolytes

  • Taiqi Yin;Yongcheng Zhang;Lei Zhang;Tao Bo;Xiaoli Tan;Weiqun Shi
    • Nuclear Engineering and Technology
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    • 제56권10호
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    • pp.4169-4175
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    • 2024
  • Traditional physical methods for measuring solubility were often affected by viscosity, density, and surface tension. In this study, we selected appropriate electrolytes to determine the solubility of impurities in the lead-bismuth circuit at reactor operating temperatures using electrochemical methods. Taking the measurement of the solubility of impurity Ce in liquid Bi as an example, we demonstrated that electrochemical methods can accurately determine its solubility in the LiCl-KCl molten salt. Furthermore, the successful measurement of other impurities such as La, Ce, U, and Mn in lead-bismuth eutectic (LBE) using the designed system has confirmed the universality of this method.

초전도 저널베어링 Substator의 특성평가 (Static Properties of Superconductor Journal Bearing Substator for Superconductor Flywheel Energy Storage System)

  • 박병준;정세용;이정필;박병철;정년호;성태현;한영희
    • Progress in Superconductivity
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    • 제10권1호
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    • pp.55-59
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    • 2008
  • A Superconductor Flywheel Energy Storage System(SFES) mainly consists of a pair of non-contacting High Temperature Superconductor(HTS) bearings that provide very low frictional losses, a composite flywheel with high energy storage density. The HTS bearings, which offer dynamic stability without active control, are the key technology that distinguishes the SFES from other flywheel energy storage devices, and great effort is being put into developing this technology. The Superconductor Journal Bearing(SJB) mainly consists of HTS bulks and a stator, which holds the HTS bulks and also acts as a cold head. Static properties of HTS bearings provide data to solve problems which may occur easily in a running system. Since stiffness to counter vibration is the main parameter in designing an HTS bearing system, we investigate SJB magnetic force through static properties between the Permanent Magnet(PM) and HTS. We measure stiffness in static condition and the results are used to determine the optimal number of HTS bulks for a 100kWh SFES.

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Near-IR Quantum Cutting Phosphors: A Step Towards Enhancing Solar Cell Efficiency

  • Jadhav, Abhijit P.;Khan, Sovann;Kim, Sun Jin;Cho, So-Hye
    • Applied Science and Convergence Technology
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    • 제23권5호
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    • pp.221-239
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    • 2014
  • The global demand for energy has been increasing since past decades. Various technologies have been working to find a suitable alternative for the generation of sustainable energy. Photovoltaic technologies for solar energy conversion represent one of the significant routes for the green and renewable energy production. Despite of remarkable improvement in solar cell technologies, the generation of power is still suffering with lower energy conversion efficiency, high production cost, etc. The major problem in improving the PV efficiency is spectral mismatch between the incident solar spectrum and bandgap of a semiconductor material used in solar cell. Luminescent materials such as rare-earth doped phosphor materials having the quantum efficiency higher than unity can be helpful for photovoltaic applications. Quantum cutting phosphors are the most suitable candidates for the generation of two or more low-energy photons for the absorption of every incident high-energy photons. The phosphors which are capable of converting UV photon to visible and near-IR (NIR) photon are studied primarily for photovoltaic applications. In this review, we will survey various near IR quantum cutting phosphors with respective to their synthesis method, energy transfer mechanism, nature of activator, sensitizer and dopant materials incorporation and energy conversion efficiency considering their applications in photovoltaics.

Utilization of Artificial Intelligence Techniques for Photovoltaic Applications

  • Juan, Ronnie O. Serfa;Kim, Jeha
    • Current Photovoltaic Research
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    • 제7권4호
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    • pp.85-96
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    • 2019
  • Renewable energy is emerging as a reliable alternative source of energy, it is much safer, cleaner than conventional sources and has contributed significantly in this sector. However, there are still some challenges that needed to address this evolving technology. Artificial Intelligence (A. I.) can assess the past, optimize the present, and forecast the future. Therefore, A. I. will resolve most of these problems. Artificial intelligence is complex in nature, but it reduces error and aims to reach a greater degree of precision which make renewables smarter. This paper provides an overview of frequently used A. I. methods in solar energy applications. A sample algorithm is also provided for literature purposes and knowledge transfer.