• Title/Summary/Keyword: energy map

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Chemical Genetics Approach Reveals Importance of cAMP and MAP Kinase Signaling to Lipid and Carotenoid Biosynthesis in Microalgae

  • Choi, Yoon-E;Rhee, Jin-Kyu;Kim, Hyun-Soo;Ahn, Joon-Woo;Hwang, Hyemin;Yang, Ji-Won
    • Journal of Microbiology and Biotechnology
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    • v.25 no.5
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    • pp.637-647
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    • 2015
  • In this study, we attempted to understand signaling pathways behind lipid biosynthesis by employing a chemical genetics approach based on small molecule inhibitors. Specific signaling inhibitors of MAP kinase or modulators of cAMP signaling were selected to evaluate the functional roles of each of the key signaling pathways in three different microalgal species: Chlamydomonas reinhardtii, Chlorella vulgaris, and Haematococcus pluvialis. Our results clearly indicate that cAMP signaling pathways are indeed positively associated with microalgal lipid biosynthesis. In contrast, MAP kinase pathways in three microalgal species are all negatively implicated in both lipid and carotenoid biosynthesis.

Atmospheric Numerical Simulation for an Assessment of Wind Resource and an Establishment of Wind Map on Land (풍력자원 평가 및 육상바람지도 작성을 위한 고해상도 대기유동장 수치모의)

  • Jung, Woo-Sik;Lee, Hwa-Woon;Kim, Hyun-Goo;Choi, Hyun-Jung;Lee, Soon-Hwan;Kim, Dong-Hyuk;Kim, Min-Jung
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.529-531
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    • 2009
  • To construct the wind map for mainland Korea, the well designed atmospheric numerical modeling system was used. Three nest domains were construced with spatial resolutions between $10{\times}10km$ up to the hightest resolution of $1{\times}1km$. Parameterization schemes like MRF(PBL), RRTM(radiation), Grell(cumulus) were chosen since wind data simulated is in better agreement with the observed wind data. High-resolution atmospheric numerical model was applied to simulate the motion of the atmosphere and to produce the wind map around the South Korea. The results of several simulations were improved compare to the past system, because of using the fine geographical data, such as terrain height and land-use data, and the meteorological data assimilation.

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Analysis on Siting Strategy for Offshore Wind Farm Based on National Wind Map and GIS (국가바람지도 및 지리정보시스템 기반의 해상풍력단지 입지전략 연구)

  • Kim, Hyun-Goo;Song, Kyu-Bong;Hwang, Sun-Young;Yun, Jin-Ho;Hwang, Hyo-Jeong
    • Journal of Environmental Science International
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    • v.18 no.8
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    • pp.877-883
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    • 2009
  • This study has analyzed the scale, location, resource potential and feasibility of offshore wind farm scientifically and systematically based on the national wind map and GIS. For long-term wind power development, this study pursues siting strategy building, selection of target area and deciding development priority as well as the presenting a basis for assessment that are necessary for policy decision making by making theme layers under GIS environment. According to the analysis after organizing technological development by stages, even if only the most suitable sites are developed among the area of offshore wind farm candidates that can be developed under the current technological standard, it has been evaluated as being able to develop about 3 times of the wind power dissemination target until 2012. It is expected that about 5% of territorial water area can be developed in a short-term future while the southern offshore area possessing relatively favorable wind resource than the western offshore has been identified as the most feasible site. While about 23% of territorial water area has been classified as potential area for offshore wind farm development in a long-term future, even Jeju Island and offshore of Ulsan possessing excellent wind resource have been analyzed as feasible sites. The feasibility assessment of offshore wind lam development established by this study is expected to assist national strategy building for accomplishing the wind power dissemination target.

Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors

  • Kim, Jinsol;Kim, Hyun-Goo;Park, Hyeong-Dong
    • Asian Journal of Atmospheric Environment
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    • v.10 no.2
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    • pp.80-89
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    • 2016
  • In the complex terrain where local wind systems are formed, accurate understanding of regional wind variability is required for wind resource assessment. In this paper, cluster analysis based on the similarity of time-series wind vector was applied to classify wind regions with similar wind characteristics and the meteorological validity of regionalization method was evaluated. Wind regions in Jeju Island and Busan were classified using the wind resource map of Korea created by a mesoscale numerical weather prediction modeling. The evaluation was performed by comparing wind speed, wind direction, and wind variability of each wind region. Wind characteristics, such as mean wind speed and prevailing wind direction, in the same wind region were similar and wind characteristics in different wind regions were meteor-statistically distinct. It was able to identify a singular wind region at the top area of Mt. Halla using the inconsistency of wind direction variability. Furthermore, it was found that the regionalization results correspond with the topographic features of Jeju Island and Busan, showing the validity.

Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm

  • Jiao, Yan;Joe, Inwhee
    • Journal of Communications and Networks
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    • v.18 no.1
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    • pp.112-122
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    • 2016
  • Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

Optimization of Shift Control to Improve Driving Efficiency of Battery Electric Vehicles with Two-speed Transmission (2단 변속기 적용 전기차의 구동 효율 향상을 위한 변속 제어 최적화)

  • Taekho Chung;Younghee Kim
    • Journal of ILASS-Korea
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    • v.28 no.2
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    • pp.62-67
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    • 2023
  • Recently, the global automobile industry is aiming for a transition from internal combustion locomotives to zero-emission vehicles. Electric vehicles powered by battery energy can operate at peak performance and improve fuel economy by applying multiple motors or multi-speed transmissions. In order to design a two-speed transmission, it is necessary to evaluate and analyze the application system and performance of electric vehicles. In this study, control performance optimization of a twostage battery electric vehicle equipped with an AMT-based automatic transmission was performed and performance according to control pattern changes was analyzed. In order to improve the operating efficiency of the motor, the shift control that sets the optimal operating point according to the vehicle speed and required torque was derived from the motor efficiency map. The performance of battery energy consumption and transmission loss energy according to the hysteresis interval was analyzed and optimized. The hysteresis interval applied to the optimal shift map acted as a factor in reducing the frequency and loss of shifts. It has been shown that keeping the hysteresis interval at about 4 km/h can reduce energy consumption while reducing the number of shifts.

A Study on Speaker Adaptation of Large Continuous Spoken Language Using back-off bigram (Back-off bigram을 이랑한 대용량 연속어의 화자적응에 관한 연구)

  • 최학윤
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.9C
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    • pp.884-890
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    • 2003
  • In this paper, we studied the speaker adaptation methods that improve the speaker independent recognition system. For the independent speakers, we compared the results between bigram and back-off bigram, MAP and MLLR. Cause back-off bigram applys unigram and back-off weighted value as bigram probability value, it has the effect adding little weighted value to bigram probability value. We did an experiment using total 39-feature vectors as featuring voice parameter with 12-MFCC, log energy and their delta and delta-delta parameter. For this recognition experiment, We constructed a system made by CHMM and tri-phones recognition unit and bigram and back-off bigrams language model.

Producing Wind Speed Maps Using Gangwon Weather Data (강원도 기상데이터를 이용한 풍속 지도 제작)

  • Kim, Gi-Hong;Youn, Jun-Hee;Kim, Baek-Seok
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.1
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    • pp.31-39
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    • 2010
  • After oil shock, the importance of renewable energy has emerged and it came to the fore again as Korean government declared the policy on low-carbon green growth. Among various renewable energies, it is generally accepted that wind power is the most practical alternative. In this paper we showed the process of producing wind speed map from Gangwon Regional Meteorological Administration's 2008 data. We mapped monthly average and maximum wind speed and compared several interpolation methods applied to the weather data. This wind speed map, which reflects Gangwon's topographical and climatic regional characteristics, is expected to be a good tool for wind farm location analysis.

Variability of Future Wind and Solar Resource Over the Korean Peninsula Based on Climate Change Scenario (기후변화 시나리오에 근거한 한반도 미래 풍력·태양-기상자원 변동성)

  • Byon, Jae-Young;Kim, Yumi;Choi, Byoung-Choel
    • New & Renewable Energy
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    • v.10 no.2
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    • pp.29-39
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    • 2014
  • This study examines the future variability of surface wind speed and solar radiation based on climate change scenario over the Korean Peninsula. Climate change scenarios used in this study are RCP 4.5 and 8.5 with a 12.5 km horizontal resolution. Climate change scenario RCP 4.5 and 8.5 reproduce the general features of wind speed over the Korean Peninsula, such as strong wind speed during spring and winter and weak wind speed during summer. When compared with the values of wind speed and solar radiation of the future, they are expected to decrease current wind and solar resource map. Comparing the resource maps using RCP 4.5 and 8.5 scenarios, wind speed and solar radiation decrease with increasing greenhouse gas concentration. Meteorological resource maps of future wind and solar radiation should be improved with high resolution for the industrial application.

Wind resource evaluation and verification of wind map with simultaneous observation at six offshore locations in Gunsan and Yeonggwang (군산·영광 해상 6개 지점 동시 관측을 통한 풍력자원 평가 및 바람지도 검증)

  • Moon-Seon Jeong;In-Sung Jeon;Ji-Young Kim
    • Journal of Wind Energy
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    • v.14 no.3
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    • pp.5-13
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    • 2023
  • Floating LiDAR systems (FLSs) are used in many countries because they are easier to install than stationary weather towers, have low maintenance costs, and can be installed in deep sea areas. However, FLSs are rarely used in Korea due to a lack of clear evaluation criteria to verify the reliability and uncertainty of their measurements. This study is the first to verify the reliability of FLSs in Korea with one-year simultaneous observation of six lidar systems - two fixed and four floating systems - in sea areas of Gunsan and Yeonggwang. The reliability of FLSs measurement data was verified by comparison between fixed and floating systems. Moreover, differences between existing wind resource maps and the data observed from the six points were analyzed and wind resource maps were calibrated. The results show a return rate of more than 95 % of the observed data and strong correlations between fixed and floating systems (average R2 of 0.977). Additionally, errors in wind speed predictions to produce a wind resource map could be significantly reduced from 5.7 % to 0.6 % after calibrations with the observation data.