• Title/Summary/Keyword: Utility Measurement

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Method for Measuring pH and Alkalinity of High-Pressure Fluid Samples : Evaluation through Artificial Samples (고압 유체 시료의 pH 및 알칼리도 측정 방법 : 가상 시료를 활용한 실용성 평가)

  • Minseok Song;Soohyeon, Moon;Gitak Chae;Jun-Hwan Bang
    • Journal of Soil and Groundwater Environment
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    • v.29 no.1
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    • pp.1-9
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    • 2024
  • As part of monitoring technology aimed at verifying the stability of CO2 geologic storage and mitigating concerns about leakage, a method for measuring the pH and alkalinity of high-pressure fluid samples was established to obtain practical technology. pH measurement for high-pressure samples utilized a high-pressure pH electrode, and alkalinity was measured using the Gran titration method for samples collected with a piston cylinder sampler (PCS). Experimental samples, referencing CO2-rich water and CO2 geologic storage studies, were prepared in the laboratory. The PCS controls the piston, preventing CO2 degassing and maintaining fluid pressure, allowing mixing with KOH to fix dissolved CO2. Results showed a 6.1% average error in high-pressure pH measurement. PCS use for sample collection maintained pressure, preventing CO2 degassing. However, PCS-collected sample alkalinity measurements had larger errors than non-PCS measurements, limiting PCS practicality in monitoring field settings. Nevertheless, PCS could find utility in preprocessing for carbon isotope analysis and other applications. This research not only contributes to the field of CCS monitoring but also suggests potential applications in studies related to natural analogs of CCS, CO2-rock interaction experiments, core flooding experiments, and beyond.

Applying Neural Networks to Model Monthly Energy Consumption of Commercial Buildings in Singapore(ICCAS2004)

  • Dong, Bing;Lee, Siew Eang;Sapar, Majid Hajid;Sun, Han Song
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1330-1333
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    • 2004
  • The methodology for modeling building energy consumption is well established for energy saving calculation in the temperate zone both for performance-based energy retrofitting contracts and measurement and verification (M&V) projects. Mostly, statistical regression models based on utility bills and outdoor dry-bulb temperature have been applied to baseline monthly and annual whole building energy use. This paper presents the application of neural networks (NN) to model landlord energy consumption of commercial buildings in Singapore. Firstly, a brief background information on NN and its application on the building energy research is provided. Secondly, five commercial buildings with various characteristics were selected for case studies. Monthly mean outdoor dry-bulb temperature ($T_0$), Relative Humidity (RH) and Global Solar Radiation (GSR) are used as network inputs and the landlord monthly energy consumption of the same period is the output. Up to three years monthly data are taken as training data. A forecast has been made for another year for all the five buildings. The performance of the NN analysis was evaluated using coefficient of variance (CV). The results show that NNs is powerful at predicting annual landlord energy consumption with high accuracy.

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Development of a Simplified Version of SC-IQ in Korea (SC-IQ의 간이 측정방법 개발)

  • Kim, Eun-Mi;Bae, Sang-Soo
    • Korean Journal of Health Education and Promotion
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    • v.29 no.1
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    • pp.73-87
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    • 2012
  • Objectives: The purpose of this study was to examine the compositional fitness and independence of the original six dimensions and the newly-designed six dimensions of Integrated Questionnaire for the Measurement of Social Capital[SC-IQ], and to explore the more simplified version for convenient use in public health-related social capital studies. Methods: This study reanalyzed social capital items included in a 2004 community health survey of K-city conducted by Hallym Health Services Research Center. Data was collected from 1,000 adults using core questions of SC-IQ. Explanatory factor analyses to all questions were done, and the new six dimensions were established. Confirmatory factor analyses[CFA] were done on the original and new six dimensions. And then reliability and validity test were done. SPSS 15.0 and AMOS 7.0 were used. Results: The final CFA module to the new SC-IQ exhibited Root Mean Square Error of Approximation[RMSEA] 0.028 and only compositional fitness and independence, and was composed of four dimensions and eight questions, and covers all elements of social capital including structural, cognitive, operational, outcome, bonding and bridging elements. Conclusion: This study demonstrates the utility of a new, simplified version of SC-IQ as well as its convenience.

Measurement and Personal Exposure Assessment of Extremely Low Frequency(ELF) Electromagnetic Fields(EMF) (극저주파 영역에서의 전자파 노출에 관한 조사연구)

  • 김윤신;김수연;박지연;최원욱
    • Journal of Environmental Health Sciences
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    • v.23 no.1
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    • pp.55-61
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    • 1997
  • This study was executed for the purpose of investigation of the EMFs exposures of personal and electronic environment. This study examines ELF-EMFs of electric appliances, subways and occupational and non-occupational human exposures, using EMDEX II (for 40 - 800Hz, Enertech Consultant, Inc.), from October 1995 to March 1996. Among the electric appliances examined, a massage unit showed the highest mean value of 247.07 $\mu$T, followed by an electric blanket of 5.24 $\mu$T. Indoor levels of EMF in subways exceerlcd 0.2 $\mu$T of the Swedish Guideline. The mean personal exposure levels of occupational group were 0.18 $\mu$T, while the personal EMF level of non-occupational group were 0.07 $\mu$T. Occupational group were exposed more highly while at work. However, the EMF levels during nonwork and sleep exposures between occuptional group and nonoccupational group were about the same. Estimates of time-intergrated exposure indicated that utility-specipic job classifications received about one-half or more of their total exposure on the job. Finally, this study would provide significant data for future research for exposure to magnetic fields, and more detailed study and research are necessary.

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Eosinophil-derived neurotoxin: a novel biomarker for diagnosis and monitoring of asthma

  • Kim, Chang-Keun
    • Clinical and Experimental Pediatrics
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    • v.56 no.1
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    • pp.8-12
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    • 2013
  • Asthma is associated with increased levels of eosinophils in tissues, body fluids, and bone marrow. Elevated levels of eosinophil-derived neurotoxin (EDN) and eosinophil cationic protein (ECP) have been noted in asthma patients. Higher levels of EDN and ECP are also associated with exacerbated asthmatic conditions. Thus, EDN, along with ECP, may aid the diagnosis and monitoring of asthma. Several groups have suggested that EDN is more useful than ECP in evaluating disease severity. This may partially be because of the recoverability of EDN (not sticky, 100% recovery rate), as ECP is a sticky and more highly charged protein. In terms of clinical utility, EDN level is a more accurate biomarker than ECP when analyzing the underlying pathophysiology of asthma. As a monitoring tool, EDN has shown good results in children with asthma as well as other allergic diseases. In children too young to fully participate in lung function tests, EDN levels may be useful as an alter native measurement of eosinophilic inflammation. EDN can also be used in adult patients and in multiple specimen types (e.g., serum, sputum, bronchoalveolar lavage fluid, and nasal lavage fluid). These results are repeatable and reproducible. In conclusion, EDN may be a novel biomarker for the diagnosis, treatment, and monitoring of asthma/allergic disease.

Integrated Voltage/Var control based on Distributed Load Modeling with Distributed Generation in Distribution System (분산전원이 설치 된 배전 계통의 분포부하를 이용한 IVVC알고리즘)

  • Kim, Young-In;Lim, Il-Hyung;Choe, Myeon-Song;Lee, Seung-Jae
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.95_96
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    • 2009
  • In this paper, a new algorithm of Integrated Volt/Var Control (IVVC) is proposed using Volt/Var control for the Distribution Automation System (DAS) based on the modeling of the distributed load and the distributed current. In the proposed, the load flow based on the modeling of the distributed load with Distributed Generation and the distributed current are estimated from constants of four terminals using the measurement of the current and power factor from a Feeder Remote Terminal Unit (FRTU). For Integrated Volt/Var Control (IVVC), the gradient method is applied to find optimal solution for tap and capacity control of OLTC (On-Load Tap Changers), SVR (Step Voltage Regulator), and SC (Shunt Condenser). What is more Volt/Var control method is proposed using moving the tie switch as well as IVVC algorithm using power utility control. In the case studies, the estimation and simulation network have been testified in Matlab Simulink.

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Integrated Volt/Var Control Algorithm based on the Distributed Load Modeling of Distribution Network (배전계통의 분포 부하 모델링을 통한 최적화 IVVC 알고리즘)

  • Kim, Young-In;Lim, Il-Hyung;Choi, Myeon-Song;Lee, Seung-Jae;Lee, Sung-Woo;Kwon, Sung-Chul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.8
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    • pp.1463-1471
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    • 2009
  • In this paper, a new algorithm of Integrated Volt/Var Control (IVVC) is proposed using Volt/Var control for the Distribution Automation System (DAS) based on the modeling of the distributed load and the distributed current. In the proposed, the load flow based on the modeling of the distributed load and the distributed current are estimated from constants of four terminals using the measurement of the current and power factor from a Feeder Remote Terminal Unit (FRTU). For Integrated Volt/Var Control (IVVC), the gradient method is applied to find optimal solution for tap and capacity control of OLTC (On-Load Tap Changers), SVR (Step Voltage Regulator), and SC (Shunt Condenser). What is more Volt/Var control method is proposed using moving the tie switch as well as IVVC algorithm using power utility control. In the case studies, the estimation and simulation network have been testified in Matlab Simulink.

A Study on the DC Leakage Current Test for Power Cable of Private Electrical Facilities considering Lightning Arrester (피뢰기를 고려한 자가용 전기설비 인입선로의 직류누설전류시험에 관한 연구)

  • Jeong, Ki-Seok;Gil, Hyoung-Jun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.1
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    • pp.142-147
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    • 2018
  • Private electrical facilities are judged whether it is suitable for the insulation aging condition of their incoming underground cables using DC leakage current test method. In the case where the service point of utility is the secondary side of cut out switch installed in the electric pole, there is a problem that it is difficult to separate the lightning arresters(LA) because of their high position of the pole. Therefore, the field test voltage is applied at value lower than DC 30 kV, which are stated in the inspection guideline. However, this test could reduced the insulation performance of the LA by accelerating the electrical stress of the metal oxide varistor element in the pre-breakdown region. In this study, we analyzed the relationship between the DC test voltage and the leakage current using the non-destructive DC high voltage equipment with leakage current measurement function. The results show that the leakage current increases sharply above the specified test voltage. As a consequence, it could be contributed to improve insulation aging inspection method by selecting the possible test area on the VI characteristic curve of the pre-breakdown area of the LA.

Development of a Novel Real-Time Monitoring System Algorithm for Fire Prevention (화재예방을 위한 실시간 모니터링 시스템의 알고리즘 개발)

  • Kim, Byeong-Jo;Kim, Jae-Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.5
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    • pp.47-53
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    • 2014
  • Despite the automatic fire alarm system, according to the national fire data system of national emergency management agency, the fires account for 40,932 incidents, 2,184 injuries and about 430 billion won in property losses in 2013. Since the conventional automatic fire alarm system has several weaknesses related to electrical signal such as noise, surge, lighting, etc. Most fires are mainly caused by electrical faults, mechanical problem, chemical, carelessness and natural. The electrical faults such as line to ground fault, line to line fault, electrical leakage and arc are one of the major problems in fire. This paper describes the development of a novel real-time fire monitoring system algorithm including fault detection function which puts the existing optic smoke and heat detectors for fire detection with current and voltage sensors in order to utility fault monitoring using high accuracy DAQ measurement system with LabVIEW program. The fire detection and electrical fault monitoring with a proposed a new detection algorithm are implemented under several test. The fire detection and monitoring system operates according to the proposed algorithm well.

Annual $CO_2$ Uptake by Urban Popular Landscape Tree Species (도시 주요조경수종의 연간 $CO_2$흡수)

  • 조현길;조동하
    • Journal of the Korean Institute of Landscape Architecture
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    • v.26 no.2
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    • pp.38-53
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    • 1998
  • This study quantified annual net carbon uptake by urban landscape trees and provided equations to estimate it for Ginkgo biloba, platanus occidentalis, Zelkova serrata and Acer palmatum, based on measurement of exchange rate for two years growing seasons from Sep., 1995 to Aug., 1997. The carbon uptake was significantly influenced by photosynthetic capacity, photon flux density and pruning. Ginkgo biloba showed the highest rate of net CO\sub 2\ uptake per unit leaf area and Acer palmatum did the lowest rate among those species. A tree shaded by adjacent building over the growing seasons showed net CO\sub2\ uptake per unit leaf area much lower than another tree of the same species less shaded. Annual net carbon uptake per tree was 19kg for Zelkova serrata, but only 1 kg for Ginkgo biloba and Platanus occidentalis with crown volume dwarfed from pruning. One Zekoval serrata tree annually offset carbon emission from consumption of about 32 liter of gasoline or 83 kWh of electricity. Strategies to improve CO\sub 2\ uptake by urban landscape trees include planting of species with high potosynthetic capacity, sunlight-guaranteed road and building layout for street trees, planting of shade-tolerant species in the north of buildings, and relocation of utility lines to underground and minimized pruning.

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