• Title/Summary/Keyword: Solar Power Plant

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Resource Use Efficiency of Electricity Sector in the Maldives

  • SHUMAIS, Mohamed
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.1
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    • pp.111-121
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    • 2020
  • The study measures the resource use efficiency of diesel based power generation in the Maldives and analyses factors which influence efficiency levels. Stochastic frontier analysis (SFA) technique is applied to data on 30 plants over two year period from 2016 to 2017. The study finds that technical efficiency scores varies from 0.44 to 0.98 across power plants. About 33 percent of the plants have scores below the mean technical efficiency score of 0.87. Empirical results indicate ownership and use of solar photovoltaic (PV) have an influence on improving efficiency levels. Privately owned power plants in resort islands obtained higher technical efficiency scores compared to public and community owned power plants. This is a significant finding as the first study that used power plants in tourist sector in a comparative study. Size of the power plants was not found significant, but relatively small installed capacities can also be efficient. This finding is important because in many inhabited islands installed capacities remain oversized compared to the load. The benchmarking exercise offers model power plants that are relatively efficient, for other power plants and policy makers in small islands to learn from.

Psychological Changes and Visual Preferences of Floating Solar Photovoltanics - Focusing on EEG and SD Methods - (수상 태양광발전시설의 심리적 변화 및 시각적 선호도 - 뇌파(EEG) 및 SD법을 중심으로 -)

  • Zhang, YuJie;Jung, Teayeol;Seo, Seonghyeok
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.2
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    • pp.131-142
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    • 2023
  • Solar power facilities to reduce carbon emissions are continuously being installed in forests, farmland, city, and on water. However, research on visual preferences and the psychological impact on observers after installing solar power facilities is insufficient. Therefore, in this study, shooting was conducted according to the viewing distance of the near, middle, and distant views of Hapcheon Dam, Korea's largest floating photovoltaic power plant. The acquired images were edited using Photoshop to compare the presence or absence of floating photovoltaic power generation facilities. In addition, psychological changes and visual preferences were analyzed through an EEG test and questionnaire among 50 participants. The results are summarized, as follows. First, the installation of water photovoltaic power generation facilities has a passive impact on the subjects' psychological changes and visual preference. Second, the psychological changes due to the installation of water photovoltaic power generation facilities were judged to affect almost all research subjects, regardless of nationality, gender, or universisty major. Third, the visual preference for installing the water photovoltaic power generation facility is low, which can be interpreted as the water photovoltaic power generation facility negatively affecting the "friendliness" and "naturalness" of the landscape. In addition, this change in visual preference was found to differ depending on the gender and universiity major of the subjects. Fourth, the psychological change and visual preference of the floating photovoltaic power generation facility according to the viewing distance, found that the close range had a higher effect than the middle and distant ranges.

Study on Energy Independence Plan and Economic Effects for Sewage Treatment Plant (하수처리시설의 에너지자립화 및 경제적 효과분석)

  • Park, Kihak;Lee, Hosik;Ha, Junsu;Kim, Keugtae;Lim, Chaeseung
    • Journal of Korean Society on Water Environment
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    • v.37 no.2
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    • pp.128-136
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    • 2021
  • It is generally known that a wastewater treatment plant (WWTP) consumes immense energy even if it can produce energy. With an aim to increase the energy independence rate of WWTP from 3.5% in 2010 to 50% in 2030, the Korean government has invested enormous research funds. In this study, cost-effective operating alternatives were investigated by analyzing the energy efficiency and economic feasibility for biogas and power generation using new and renewable energy. Based on the US EPA Energy Conservation Measures and Korea ESCO projects, energy production and independence rate were also analyzed. The main energy consumption equipment in WWTP is the blower for aeration, discharge pump for effluent, and pump for influent. Considering the processes of WWTP, the specific energy consumption rate of the process using media and MBR was the lowest (0.549 kWh/㎥) and the highest (1.427 kWh/㎥), respectively. Energy-saving by enhancing anaerobic digester efficiency was turned out to be efficient when in conjunction with stable wastewater treatment. The result of economic analysis (B/C ratio) was 2.5 for digestive gas power generation, 0.86 for small hydropower, 0.49 for solar energy, and 0.15 for wind energy, respectively. Furthermore, it was observed that the energy independence rate could be enhanced by installing energy production facilities such as solar and small hydropower and reducing energy consumption via the replacement of high-efficiency operating.

Characteristics of Particle Growth and Chemical Composition of High Concentrated Ultra Fine Dusts (PM2.5) in the Air around the Power Plant (고농도 초미세먼지 출현 시 발전소 주변 대기 입자 성장 및 화학조성 특성)

  • Suji, Kang;Jinho, Sung;Youngseok, Eom;Sungnam, Chun
    • KEPCO Journal on Electric Power and Energy
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    • v.8 no.2
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    • pp.103-110
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    • 2022
  • Ultrafine Particle number and size distributions were simultaneously measured at rural area around the power plant in Dangjin, South Korea. New Particle formation and growth events were frequently observed during January, 2021 and classified based on their strength and persistence as well as the variation in geometric mean diameter(GMD) on January 12, 21 and 17. In this study, we investigated mechanisms of new particle growth based on measurements using a high resolution time of flight aerosol mass spectrometer(HR-ToF-AMS) and a scanning mobility particle sizer(SMPS). On Event days(Jan 12 and 21), the total average growth rate was found to be 8.46 nm/h~24.76 nm/hr. These growth rate are comparable to those reported for other urban and rural sites in South Korea using different method. Comparing to the Non-Event day(Jan 17), New Particle Growth mostly occurred when solar radiation is peaked and relative humidity is low in daytime, moreover enhanced under the condition of higher precusors, NO2 (39.9 vs 6.2ppb), VOCs(129.5 vs 84.6ppb), NH3(11 vs 4.7ppb). The HR-ToF-AMS PM1.0 composition shows Organic and Ammoniated nitrate were dominant species effected by emission source in domestic. On the other hand, The Fraction of Ammoniated sulfate was calculated to be approximately 16% and 31% when air quality is inflow from China. Longer term studies are needed to help resolve the relative contributions of each precusor species on new particle growth characteristics.

A Systems Engineering Approach to Multi-Physics Load Follow Simulation of the Korean APR1400 Nuclear Power Plant

  • Mahmoud, Abd El Rahman;Diab, Aya
    • Journal of the Korean Society of Systems Engineering
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    • v.16 no.2
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    • pp.1-15
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    • 2020
  • Nuclear power plants in South Korea are operated to cover the baseload demand. Hence they are operated at 100% rated power and do not deploy power tracking control except for startup, shutdown, or during transients. However, as the contribution of renewable energy in the energy mix increases, load follow operation may be needed to cover the imbalance between consumption and production due to the intermittent nature of electricity produced from the conversion of wind or solar energy. Load follow operation may be quite challenging since the operators need to control the axial power distribution and core reactivity while simultaneously conducting the power maneuvering. In this paper, a systems engineering approach for multi-physics load follow simulation of APR1400 is performed. RELAP5/SCDAPSIM/MOD3.4/3DKIN multi-physics package is selected to simulate the Korean Advanced Power Reactor, APR1400, under load follow operation to reflect the impact of feedback signals on the system safety parameters. Furthermore, the systems engineering approach is adopted to identify the requirements, functions, and physical architecture to provide a set of verification and validation activities that guide this project development by linking each requirement to a validation or verification test with predefined success criteria.

Load Modeling based on System Identification with Kalman Filtering of Electrical Energy Consumption of Residential Air-Conditioning

  • Patcharaprakiti, Nopporn;Tripak, Kasem;Saelao, Jeerawan
    • International journal of advanced smart convergence
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    • v.4 no.1
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    • pp.45-53
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    • 2015
  • This paper is proposed mathematical load modelling based on system identification approach of energy consumption of residential air conditioning. Due to air conditioning is one of the significant equipment which consumes high energy and cause the peak load of power system especially in the summer time. The demand response is one of the solutions to decrease the load consumption and cutting peak load to avoid the reservation of power supply from power plant. In order to operate this solution, mathematical modelling of air conditioning which explains the behaviour is essential tool. The four type of linear model is selected for explanation the behaviour of this system. In order to obtain model, the experimental setup are performed by collecting input and output data every minute of 9,385 BTU/h air-conditioning split type with $25^{\circ}C$ thermostat setting of one sample house. The input data are composed of solar radiation ($W/m^2$) and ambient temperature ($^{\circ}C$). The output data are power and energy consumption of air conditioning. Both data are divided into two groups follow as training data and validation data for getting the exact model. The model is also verified with the other similar type of air condition by feed solar radiation and ambient temperature input data and compare the output energy consumption data. The best model in term of accuracy and model order is output error model with 70.78% accuracy and $17^{th}$ order. The model order reduction technique is used to reduce order of model to seven order for less complexity, then Kalman filtering technique is applied for remove white Gaussian noise for improve accuracy of model to be 72.66%. The obtained model can be also used for electrical load forecasting and designs the optimal size of renewable energy such photovoltaic system for supply the air conditioning.

The First High Solar Concentrator System Performance Test in Korea

  • Chung, Kyung-Yul;Kang, Sung-Won;Kim, Yong-Sik;Sim, Chang-Ho;Jeong, Nam-Young;Park, Chang-Dae;Ryu, Keel-Soo
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.7
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    • pp.876-884
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    • 2012
  • The worldwide CPV(Concentrated Photo Voltaic) market has been increased rapidly due to the increase in large-scale PV(Photo Voltaic) plants which are situated in sun-rich areas with either a Mediterranean or equatorial-type climate. CPV systems are arguably some of the most important devices in the production of electricity within regions with a sun-rich climate, particularly those which benefit from abundant direct solar irradiation. We have developed a 500X CPV module with rated power of 170Wp. The CPV module must satisfy the constraint of having a sensitive tracking accuracy due to the limited tolerance of the acceptance angle in intrinsic optical design. In this study, the module's acceptance angle used was designed with a tolerance angle of ${\pm}1^{\circ}$ in the secondary optics design. In general, non-concentrated module type 2-axis trackers have a tolerance angle larger than ${\pm}1^{\circ}$ due to standard silicon-type modules which are insensitive to the tracking accuracy of the sun. They have a tolerance angle of ${\pm}2{\sim}4^{\circ}$, which fails to exert a significant influence on the performance of the module. This paper provides a study of an experimental variation of the efficiency of the CPV module in terms of its tracking accuracy. Also, the performance of the module is studied from the perspective of temperature and direct irradiation.

Energy Storage System Model for Facility Plan Connected with Solar and Wind Power Plant (태양광/풍력 연계 기반의 에너지저장장치 설비계획 모델링)

  • Lee, Yong-Bong;Kim, Jeong-Ho
    • Journal of IKEEE
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    • v.19 no.3
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    • pp.295-303
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    • 2015
  • Considering to Energy Storage System (ESS) is a global trend In order to reduce global warming and carbon emissions. South Korea has announced various policies to vitalize the development and uptake of renewable energy. South Korea is planning the cumulative capacity of ESS of two million kW in 2020. According to the government support and development of technology companies, the battery of ESS prices are expected to fall gradually. In this paper, we develop a planning model that take into account the supply expansion of technology of ESS and prices. Based on planning model, we analyze the cost of ESS linked with wind power and the revenue for trading electricity and renewable energy certifications.

The Study of Optimized Combustion Tuning Method for Fossil Power Plant (발전용 보일러의 최적연소조정기법에 대한 실험적 연구)

  • Jung, Jae-Jin;Song, Jung-Il
    • Journal of the Korean Solar Energy Society
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    • v.29 no.5
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    • pp.45-52
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    • 2009
  • Fossil power plants firing lower grade coals or equipped with modified system for $NO_x$ controls are challenged with maintaining good combustion conditions while maximizing generation and minimizing emissions. In many cases significant derate, availability losses and increase in unburned carbon levels can be attributed to poor combustion conditions as a result of poorly controlled local fuel and air distribution within the boiler furnace. In order to develop a on-line combustion tuning system, field test was conducted at operating power boiler. During the field test the exhaust gases' $O_2,\;NO_x$ and CO was monitored by using a spatially distributed monitoring grid located in the boiler's high temperature vestibule and upper convective rear pass region. At these locations, the flue gas flow is still significantly stratified, and air in-leakage is minimal which enables tracing of poor combustion zones to specific burners and over-fire air ports. using these monitored information we can improving combustion at every point within the furnace, therefore the boiler can operate at reduced excess $O_2$ and gas temperature deviation, reduced furnace exit gas temperature levels while also reducing localized hot spots, corrosive gas conditions, slag or clinker formation and UBC. Benefits include improving efficiency, reducing $NO_x$ emissions, increasing output and maximizing availability. Discussion concerning the reduction of greenhouse gases is prevalent in the world. When taking a practical approach to addressing this problem, the best way and short-term solution to reduce greenhouse gases on coal-fired power plants is to improve efficiency. From this point of view the real time optimized combustion tuning approach is the most effective and implemented with minimal cost.

A Study of Closed OTEC Power Plants (폐쇄형 해양온도차발전 사이클에 관한 연구)

  • Shin, Sang-Ho;Jung, Dong-Soo;Kim, Chong-Bo;Seo, Tae-Beom;Chun, Won-Gee;Auh, P. Chung-Moo
    • Solar Energy
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    • v.17 no.4
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    • pp.23-33
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    • 1997
  • In this paper, performance of various working fluids is evaluated for the closed Ocean Thermal Energy Conversion(OTEC) power plant operating on Rankine cycle. The evaporator and condenser are modeled via UA and LMTD method while turbine and pump are modeled by specifying isentropic efficiencies. R22, Propane, Propylene, R134a, R125, R143a, R32, R410A and Ammonia are used as working fluids. Results show that newly developed fluids such as R410A and R32 that do not cause stratospheric ozone layer depletion perform as well as R22 and ammonia. The superheat at the evaporator exit and subcooling at the condenser exit do not affect the performance of the simple OTEC power cycle. Turbine efficiency and heat exchanger size influence greatly the performance of the Rankine cycle. Finally, it was shown that closed OTEC power plants can practically generate electricity when the difference in warm and cold sea water inlet temperatures is greater than $20^{\circ}C$.

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