• Title/Summary/Keyword: distributed energy resources

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Strategies for Increasing Biomass Energy Utilization in Rural Areas - Focusing on heating for greenhouse cultivation - (농촌지역 바이오매스 에너지 보급 활성화 전략 - 시설재배 난방을 중심으로 -)

  • Hong, Seong Gu
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.6
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    • pp.9-20
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    • 2015
  • The demand of renewable energy is expected to grow in the long run in spite of current stable lower oil prices. Energy consumption for heating in horticulture greenhouse is large and affects the profits of the farms. This study analyzed the availability of biomass in rural area and proposed the strategies for utilizing the biomass for greenhouse heating. Data reveal the annual average fuel consumption in greenhouses is about 78 TOE/ha. Considering biomass resource in rural areas, agricultural residues are not sufficient to meet the biomass demand from greenhouses. Therefore it is recommended to secure further biomass including wild herbaceous biomass and woody biomass from forest. Based on the conditions of biomass gasification equipment investment and fuel prices, maximum allowable price of biomass turned out about 100,000 KRW/t to be competitive to kerosine. Biomass supply chain should be established for facilitating biomass trading between biomass consumers and biomass producers such as farmers who provide crop residues. An online trading system is an example of the system where consumers who utilize biomass make payments to suppliers and get the information about the biomass. Intermediate collection storages are required to store biomass from distributed sources. Operation of biomass heating systems in demonstration greenhouses is necessary to get information to refine and further develop commercial biomass heating systems. Relatively large greenhouses are desirable to have biomass heating systems for economic viability. The location of the greenhouse farms should be selected within the area where enough biomass resources are available for feeding the biomass facility.

Effect of Joint Orientation Distribution on Hydraulic Behavior of the 2-D DFN System (절리의 방향분포가 이차원 DFN 시스템의 수리적 특성에 미치는 영향)

  • Han, Jisu;Um, Jeong-Gi
    • Economic and Environmental Geology
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    • v.49 no.1
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    • pp.31-41
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    • 2016
  • A program code was developed to calculate block hydraulic conductivity of the 2-D DFN(discrete fracture network) system based on equivalent pipe network, and implemented to examine the effect of joint orientation distribution on the hydraulic characteristics of fractured rock masses through numerical experiments. A rock block of size $32m{\times}32m$ was used to generate the DFN systems using two joint sets with fixed input parameters of joint frequency and gamma distributed joint size, and various normal distributed joint trend. DFN blocks of size $20m{\times}20m$ were selected from center of the $32m{\times}32m$ blocks to avoid boundary effect. Twelve fluid flow directions were chosen every $30^{\circ}$ starting at $0^{\circ}$. The directional block conductivity including the theoretical block conductivity, principal conductivity tensor and average block conductivity were estimated for generated 180 2-D DFN blocks. The effect of joint orientation distribution on block hydraulic conductivity and chance for the equivalent continuum behavior of the 2-D DFN system were found to increase with the decrease of mean intersection angle of the two joint sets. The effect of variability of joint orientation on block hydraulic conductivity could not be ignored for the DFN having low intersection angle between two joint sets.

A Study on System Retrofit of Complex Energy System (복합에너지시스템의 성능개선에 관한 연구)

  • Choi, Jung-Hun;Moon, Chae-Joo;Chang, Young-Hak
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.61-68
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    • 2021
  • The application of renewable energies such as wind and solar has become an inevitable choice for many countries in order to achieve the reduction of greenhouse gases and healthy economic development. However, due to the intermittent characteristics of renewable energy, the issue with integrating a larger proportion of renewable energy into the grid becomes more prominent. A complex energy system, usually consists of two or more renewable energy sources used together to provide increased system efficiency as well as greater balance in energy supply. Compared with the power system, control and optimization of the complex energy system become more difficult in terms of modeling, operation, and planning. The main purpose of the complex energy system retrofit for samado island with microgrid system is to coordinate the operation with various distributed energy resources, energy storage systems, and power grids to ensure its reliability, while reducing the operating costs and achieving the optimal economic benefits. This paper suggests the improved complex energy system of samado island with optimal microgrid system. The results of test operation show about 12% lower SOC variation band of ESS, elimination of operation limit in PV and reduction of operation time in diesel generator.

Increasing Hosting Capacity in KEPCO Distribution Feeders (배전선로의 분산 전원 상시 연계용량 기준 상향 타당성 연구)

  • Cho, Sung-Soo;Sim, JunBo;Lim, Hyeon-Ok;Kim, HyeonJin;Kim, Seong-Man;Ju, Sang-Do;Song, JongHyup
    • KEPCO Journal on Electric Power and Energy
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    • v.5 no.4
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    • pp.311-321
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    • 2019
  • With Korean Government's Renewable energy 3020 plan and 8th Basic plan for long-term power supply, renewable energy industries in Korea are active and catching attention from many relevant industry's relations. Especially with Interconnection guarantee policy established in Oct, 2016, DERs interconnection delay due to lack of allowable distribution hosting capacity is happening and reduction of reinforcement cost for distribution system where 70 % of DERs in South Korea are installed became one of important issues of KEPCO. Therefore, KEPCO needed to extract reasonable solutions to increase feasible hosting capacity of distribution feeders in order to reduce reinforcement cost under the condition of no matter in distribution system operation. This paper proposes feasible hosting capacity of distribution feeders that can be adopted and the status of DER installation in distribution system, PV output data, minimum load in distribution feeders as well as capacity of distribution lines have been investigated and analyzed in proof of the proposal.

Development of Distributed Ecohydrologic Model and Its Application to the Naeseong Creek Basin (분포형 생태수문모형 개발 및 내성천 유역에의 적용)

  • Choi, Daegyu;Kim, In-Hwan;Kim, Jeongsook;Kim, Sangdan
    • Journal of Korea Water Resources Association
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    • v.46 no.11
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    • pp.1053-1067
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    • 2013
  • Distributed ecohydrological model which can simulate hydrological components, vegetation and landsurface temperature using practically available input and observed data with minimum parameters is introduced. This model is designed to properly simulate in area with lack of observed data. Parameter estimation and calibration of the model can be carried out with indirectly estimated data (monthly surface runoff by NRCS-CN method and annual actual vaporization by empirical equation) and remote sensing data (NDVI, LST) instead of observed data. We applied this model in the Naeseong creek basin to evaluate the model validity. Firstly, we found the sensitive parameters which largely influence the simulation results by sensitivity analysis, and then hydrological components, vegetation, land-surface temperature, routed streamflow and water temperature were simulated over 10 years (2001 to 2010) using calibrated parameters. Parameters are estimated by optimization method. It is shown that most of grids are well simulated. In the case of streamflow and water temperature, we checked two observed points in the outlet of watershed and it is shown that streamflow and water temperature are properly simulated as well. Hence, it can be shown that this model properly simulate the hydrological components, vegetation, land-surface temperature, routed streamflow and water temperature as well, even though in despite of using limited input data and minimum parameters.

Effects of Incremental Levels of α-Tocopherol Acetate on Performance, Nutrient Digestibility and Meat Quality of Commercial Broilers

  • Chae, B.J.;Lohakare, J.D.;Choi, J.Y.
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.2
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    • pp.203-208
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    • 2006
  • This experiment was conducted to explore the efficacy of ${\alpha}$-tocopherol acetate (AT), a commercial supplement containing tocopherols, in commercial broilers. Three hundred and thirty Ross broiler chicks (4-d old) were randomly distributed and allotted to five dietary treatments for six weeks. Each treatment comprised 3 pens as replicates containing 22 chicks per pen. The five dietary treatments were: 0 mg/kg AT (negative control); 10 mg/kg AT; 50 mg/kg AT; 100 mg/kg AT; and 200 mg/kg AT; respectively, supplied totally by the supplement under study. Supplementation of AT improved weight gain significantly (p<0.05), with higher values in the 100 and 200 mg/kg AT fed group than the control during all phases of study, but feed intake remained unaffected. The nutrient digestibility studies conducted after 15 and 35 days of experimental feeding showed significantly higher digestibility of CP, ether extract and gross energy, in these two groups over the control diet. Carcass traits like dressing percentage and the color of the breast meat did not differ significantly due to treatments, but significantly (p = 0.0152) lower abdominal fat percent was noted in the 200 mg/kg fed group. Higher (p = 0.0003) tibia bone strength was noticed in groups fed diets above 50 mg/kg AT because of higher bone mineral content. The serum levels of tocopherols were not influenced but the muscle tocopherols content showed a positive linear trend with the dietary levels supplemented. The thio-barbituric acid reactive substances (TBARS) level in meat also suggested that supplemental AT has a protective role in rancidity. Overall, it could be concluded that AT supplementation at higher levels was found beneficial for growth and increased chicken meat quality.

Development of SaaS cloud infrastructure to monitor conditions of wind turbine gearbox (풍력발전기 증속기 상태를 감시하기 위한 SaaS 클라우드 인프라 개발)

  • Lee, Gwang-Se;Choi, Jungchul;Kang, Seung-Jin;Park, Sail;Lee, Jin-jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.9
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    • pp.316-325
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    • 2018
  • In this paper, to integrate distributed IT resources and manage human resource efficiently as purpose of cost reduction, infrastructure of wind turbine monitoring system have been designed and developed on the basis of SaaS cloud. This infrastructure hierarchize data according to related task and services. Softwares to monitor conditions via the infrastructure are also developed. Softwares are made up of DB design, field measurement, data transmission and monitoring programs. The infrastructure is able to monitor conditions from SCADA data and additional sensors. Total time delay from field measurement to monitoring is defined by modeling of step-wise time delay in condition monitoring algorithms. Since vibration data are acquired by measurements of high resolution, the delay is unavoidable and it is essential information for application of O&M program. Monitoring target is gearbox in wind turbine of MW-class and it is operating for 10 years, which means that accurate monitoring is essential for its efficient O&M in the future. The infrastructure is in operation to deal with the gearbox conditions with high resolution of 50 TB data capacity, annually.

Eco-System: REC Price Prediction Simulation in Cloud Computing Environment (Eco-System: 클라우드 컴퓨팅환경에서 REC 가격예측 시뮬레이션)

  • Cho, Kyucheol
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.1-8
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    • 2014
  • Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

Study of Sedimentary Deposits using High Resolution Seismic data in Suyeong Bay, Busan (고해상도 탄성파 자료를 이용한 부산 수영만의 퇴적층서 연구)

  • Seo, Young-Kyo;Lee, Gwang-Soo;Kim, Dae-Choul;Lee, Hi-Il
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.14 no.2
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    • pp.81-92
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    • 2011
  • High resolution seismic profiles (chirp and sparker system) were analyzed for the interpretation of nearshore sedimentary environments of Suyeong Bay, Busan. The sedimentary sequence is classified into three seismic units (SU1a, SU1b, and SU2), overlying acoustic basement, and each units can be defined as erosional and disconformable strata. The lowermost SU1a is characterized by the acoustically parallel and prolonged inner reflections, compared with the upper SU1b displays irregular internal reflectors. The uppermost unit, SU2, is acoustically transparent. The acoustic basement is incised with channels, probably due to the active erosion during the early period of transgression. The acoustic basement deepens eastward in the study area, suggesting primary association with the Suyeong River. The upper SU1a and SU1b units constitute lowland-fill strata. SU2 is widely distributed over the study area. High resolution seismic profiles of Suyeong Bay provide significant information crucial to the interpretation of sedimentary environmental history, which is closely related to the sea level change, estuarine environment and influx of terrestrial sediments from the adjacent rivers.

Cost Estimation Model for Introduction to Virtual Power Plants in Korea (국내 가상발전소 도입을 위한 비용 추정 모델)

  • Park, Hye-Yeon;Park, Sang-Yoon;Son, Sung-Yong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.178-188
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    • 2022
  • The introduction of virtual power plants is actively being discussed to solve the problem of grid acceptability caused by the spread of distributed renewable energy, which is the key to achieving carbon neutrality. However, a new business such as virtual power plants is difficult to secure economic feasibility at the initial stage of introduction because it is common that there is no compensation mechanism. Therefore, appropriate support including subsidy is required at the early stage. But, it is generally difficult to obtain the cost model to determine the subsidy level because of the lack of enough data for the new business model. In this study, a survey of domestic experts on the requirements, appropriate scale, and cost required for the introduction of virtual power plants is conducted. First, resource composition scenarios are designed from the survey results to consider the impact of the resource composition on the cost. Then, the cost estimation model is obtained using the individual cost estimation data for their resource compositions using logistic regression analysis. In the case study, appropriate initial subsidy levels are analyzed and compared for the virtual power plants on the scale of 20-500MW. The results show that mid-to-large resource composition cases show 29-51% lower cost than small-to-large resource composition cases.