• Title/Summary/Keyword: hydro-energy optimization

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Design for Landfill Gas Appliation by Low Calorific Gas Turbine and Green House Optimization Technology (Low Calorific Gasturbine 매립지 적용 및 유리온실 운용기술 설계)

  • Hur, Kwang-Beom;Park, Jung-Keuk;Lee, Jung-Bin;Rhim, Sang-Gyu
    • New & Renewable Energy
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    • v.6 no.2
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    • pp.27-32
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    • 2010
  • Low Calorific Gas Turbine (LCGT) has been developed as a next generation power system using landfill gas (LFG) and biogas made from various organic wastes, food Waste, waste water and Livestock biogas. Low calorific fuel purification by pretreatment system and carbon dioxide fixation by green house system are very important design target for the optimum applications of LCGT. Main troubles of Low Calorific Gas Turbine system was derived from the impurities such as hydro sulfide, siloxane, water contained in biogas. Even if the quality of the bio fuel is not better than natural gas, LCGT may take low quality gas fuel and environmental friendly power system. The mechanical characterisitics of LCGT system is a high energy efficiency (>70%), wide range of output power (30 kW - 30 MW class) and very clean emission from power system (low NOx). A green house has been designed for four different carbon dioxide concentration from ambient air to 2000 ppm by utilizing the exhaust gas and hot water from LCGT system. LCGT is expected to contribute achieving the target of Renewable Portfolio Standards (RPS).

Active Contour Model Based Object Contour Detection Using Genetic Algorithm with Wavelet Based Image Preprocessing

  • Mun, Kyeong-Jun;Kang, Hyeon-Tae;Lee, Hwa-Seok;Yoon, Yoo-Sool;Lee, Chang-Moon;Park, June-Ho
    • International Journal of Control, Automation, and Systems
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    • v.2 no.1
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    • pp.100-106
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    • 2004
  • In this paper, we present a novel, rapid approach for the detection of brain tumors and deformity boundaries in medical images using a genetic algorithm with wavelet based preprocessing. The contour detection problem is formulated as an optimization process that seeks the contour of the object in a manner of minimizing an energy function based on an active contour model. The brain tumor segmentation contour, however, cannot be detected in case that a higher gradient intensity exists other than the interested brain tumor and deformities. Our method for discerning brain tumors and deformities from unwanted adjacent tissues is proposed. The proposed method can be used in medical image analysis because the exact contour of the brain tumor and deformities is followed by precise diagnosis of the deformities.

Analysis of Electricity Cost Saving Effect by the Optimal load shifting Operation with 1MWh Redox Flow Battery (1MWh급 레독스흐름전지의 부하이전용 최적운전에 따른 전기요금 절감효과 분석)

  • Baek, Ja-Hyun;Ko, Eun-Young;Kang, Tae-Hyuk;Lee, Han-Sang;Cho, Soo-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1151-1160
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    • 2016
  • In recent years, the energy storage systems such as LiB, NaS, RFB(Redox-Flow Battery), Super- capacitor, pumped hydro storage, flywheel, CAES(Compressed Air Energy Storage) and so on have received great attention as practical solutions for the power supply problems. They can be used for various purpose of peak shaving, load leveling and frequency regulation, according to the characteristics of each ESS(energy storage system). This paper will focus at 1 MWh RFB system, which is being developed through the original technology project of energy material. The output of ESS is mainly characterized by C-rate, which means that the total rated capacity of battery will be delivered in 1 hour. And it is a very important factor in the ESS operation scheduling. There can be several options according to the operation intervals 15, 30 and 60minutes. The operation scheduling is based on the optimization to minimize the daily electricity cost. This paper analyzes the cost-saving effects by the each operating time-interval in case that the RFB ESS is optimally scheduled for peak shaving and load leveling.

Design for Landfill Gas Application by Low Calorific Gas Turbine and Green House Optimization Technology (Low Calorific Gasturbine 매립지 적용 및 유리온실 운용기술 설계)

  • Hur, Kwang-Beom;Park, Jung-Keuk;Lee, Jung-Bin;Rhim, Sang-Gyu
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.06a
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    • pp.244.1-244.1
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    • 2010
  • Bio energy development by using Low Calorific Gas Turbine(LCGT) has been developed for New & Renewable energy source for next generation power system, low fuel and operating cost method by using the renewable energy source in landfill gas (LFG), Food Waste, water waste and Livestock biogas. Low calorific fuel purification by pretreatment system and carbon dioxide fixation by green house system are very important design target for evaluate optimum applications for bio energy. Main problems and accidents of Low Calorific Gas Turbine system was derived from bio fuel condition such as hydro sulfide concentration, siloxane level, moisture concentration and so on. Even if the quality of the bio fuel is not better than natural gas, LCGT system has the various fuel range and environmental friendly power system. The mechanical characterisitics of LCGT system is a high total efficiency (>70%), wide range of output power (30kW - 30MW class) and very clean emmission from power system (low NOx). Also, we can use co-generation system. A green house designed for four different carbon dioxide concentration from ambient air to 2000 ppm by utilizing the exhaust gas and hot water from LCGT system. We look forward to contribute the policy for Renewable Portfolio Standards(RPS) by using LCGT power system.

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A Study on Constructing Bottom-up Model for Electric Sector (전력부문 온실가스 감축정책 평가를 위한 상향식 모형화 방안)

  • Kim, Hugon;Paik, Chunhyun;Chung, Yongjoo;Ahn, Younghwan
    • Journal of Energy Engineering
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    • v.25 no.3
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    • pp.114-129
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    • 2016
  • Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed to reduce the emission rate about 30% compared to BAU scenario. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. The bottom-up model for electric sector requires demand management, regeneration energy mix, fuel conversation, etc., thus it has a very complex aspect to estimate some various policies. In this paper, we suggest a bottom-up BAU model for electric sector and how we can build it through step-by-step procedures such that includes load region, hydro-dam and pumping storage.

Fundamental Study for Predicting Ship Resistance Performance Due to Changes in Water Temperature and Salinity in Korea Straits (대한해협에서의 수온 및 염도변화를 고려한 선박의 저항성능 예측을 위한 기초 연구)

  • Seok, Jun;Jin, Song-Han;Park, Jong-Chun;Shin, Myung-Soo;Kim, Sung-Yong
    • Journal of Ocean Engineering and Technology
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    • v.29 no.6
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    • pp.418-426
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    • 2015
  • Recently, shipping operators have been making efforts to reduce the fuel cost in various ways, such as trim optimization and bulb re-design. Furthermore, IMO restricts the hydro-dioxide emissions to the environment based on the EEDI (Energy Efficiency Design Index), EEOI (Energy Efficiency Operational Indicator), and SEEMP (Ship Energy Efficiency Management Plan). In particular, ship speed is one of the most important factors for calculating the EEDI, which is based on methods suggested by ITTC (International Towing Tank Conference) or ISO (International Standardization Organization). Many shipbuilding companies in Korea have carried out speed trials around the Korea Straits. However, the conditions for these speed trials have not been exactly the same as those for model tests. Therefore, a ship’s speed is corrected by measured environmental data such as the seawater temperature, density, wind, waves, swell, drift, and rudder angle to match the conditions of the model tests. In this study, fundamental research was performed to evaluate the ship resistance performance due to changes in the water temperature and salinity, comparing the ISO method and numerical simulation. A numerical simulation of a KCS (KRISO Container ship) with a free-surface was performed using the commercial software Star-CCM+ under three conditions that were assumed based on the water temperature and salinity data in the Korea Straits. In the simulation results, the resistance increased under low water temperature & high salinity conditions, and it decreased under high water temperature & low salinity conditions. In addition, the ISO method showed the same result as the simulation.

Proposal of a Pilot Plant (2T/day) for Solid Fuel Conversion of Cambodian Mango Waste Using Hybrid Hydrothermal Carbonization Technology (하이브리드 수열탄화기술을 이용한 캄보디아 망고 폐기물 고형연료화 실증플랜트 (2T/day) 제안)

  • Han, Jong-il;Lee, Kangsoo;Kang, Inkook
    • Journal of Appropriate Technology
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    • v.7 no.1
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    • pp.59-71
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    • 2021
  • Hybrid hydrothermal carbonization (Hybrid HTC) technology is a proprietary thermochemical process for two or more organic wastes.The reaction time is less than two hours with temperature range 180~250℃ and pressure range 20~40bar. Thanks to accumulation of the carbon of the waste during Hybrid HTC process, the energy value of the solid fuel increases significantly with comparatively low energy consumption. It has also a great volume reduction with odor removal effect so that it is evaluated as the best solid fuel conversion technology for various organic wastes. In this study of the hybrid hydrothermal carbonization, the effect on the calorific value and yield of Cambodian mango waste were evaluated according to changes in temperature and reaction time. Through the study, parameter optimization has been sought with improving energy efficiency of the whole plant. It is decomposed in the Hydro-Carbonation Technology to Generate Gas. At this time, it is possible to develop manufacturing and production technologies such as hydrogen (H2) and methane (CH4). Based on the results of the study, a pilot plant (2t/day) has been proposed for future commercialization purpose along cost analysis, mass balance and energy balance calculations.