• Title/Summary/Keyword: Optimal operation conditions

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Operation evaluation of DAF pilot plant for water treatment process in Hoedong Reservoir (회동수원지의 정수처리 공정을 위한 DAF pilot plant 운영 성능평가)

  • Maeng, Minsoo;Shahi, Nirmal Kumar;Kim, Donghyeun;Shin, Gwyam;Dockko, Seok
    • Journal of Korean Society of Water and Wastewater
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    • v.34 no.6
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    • pp.463-471
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    • 2020
  • A 1,000 ㎥/d DAF(dissolved air flotation) pilot plant was installed to evaluate the performance of the floating process using the Nakdong River. Efficiency of various DAF operations under different conditions, such as hydraulic loading rate, coagulant concentration was evaluated in the current research. The operation conditions were evaluated, based on the removal or turbidity, TOC(total organic carbon), THMFP(trihalomethane formation potential), Mn(manganese), and Al(aluminum). Also, particle size analysis of treated water by DAF was performed to examine the characteristics of particles existing in the treated water. The turbidity removal was higher than 90%, and it could be operated at 0.5 NTU or less, which is suitable for the drinking water quality standard. Turbidity, TOC, and THMFP resulted in stable water quality when replacing the coagulant from alum to PAC(poly aluminum chloride). A 100% removal of Chl-a was recorded during the summer period of the DAF operations. Mn removal was not as effective as where the removal did not satisfy the water quality standards for the majority of the operation period. Hydraulic loading of 10 m/h, and coagulant concentrations of 40 mg/L was determined to be the optimal operating conditions for turbidity and TOC removal. When the coagulant concentration increases, the Al concentration of the DAF treated water also increases, so coagulant injection control is required according to the raw water quality. Particle size distribution results indicated that particles larger than 25 ㎛ showed higher removal rates than smaller particles. The total particel count in the treated water was 2,214.7 counts/ml under the operation conditions of 10 m/h of hydraulic loading rate and coagulant concentrations of 60 mg/L.

Development of Optimal Operation Rule for Multipurpose Reservoirs System (다목적댐의 연계운영을 위한 최적 운영률 개발)

  • Yi, Jae-Eung
    • Journal of Korea Water Resources Association
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    • v.37 no.6
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    • pp.487-497
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    • 2004
  • Adding important new projects such as reservoirs which regulate a river discharge to a river system, existing operation methods should be changed considering these conditions. Since an original operation rule used for an existing system has been designed to be compatible to inputs and outputs of the existing system, the operation rule should be changed to consider the new projects. In this study, the technique of constructing new operation rules considering objectives of both old and new projects is suggested when new project is added to the river system. Reservoir operation rule using both stochastic inflow and optimization technique is developed. As a result of applying the technique to Geum river basin, the efficiency of the technique is verified.

A FUZZY LOGIC CONTROLLER DESIGN FOR VEHICLE ABS WITH A ON-LINE OPTIMIZED TARGET WHEEL SLIP RATIO

  • Yu, F.;Feng, J.-Z.;Li, J.
    • International Journal of Automotive Technology
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    • v.3 no.4
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    • pp.165-170
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    • 2002
  • For a vehicle Anti-lock Braking System (ABS), the control target is to maintain friction coefficients within maximum range to ensure minimum stopping distance and vehicle stability. But in order to achieve a directionally stable maneuver, tire side forces must be considered along with the braking friction. Focusing on combined braking and turning operation conditions, this paper presents a new control scheme for an ABS controller design, which calculates optimal target wheel slip ratio on-line based on vehicle dynamic states and prevailing road condition. A fuzzy logic approach is applied to maintain the optimal target slip ratio so that the best compromise between braking deceleration, stopping distance and direction stability performances can be obtained for the vehicle. The scheme is implemented using an 8-DOF nonlinear vehicle model and simulation tests were carried out in different conditions. The simulation results show that the proposed scheme is robust and effective. Compared with a fixed-slip ratio scheme, the stopping distance can be decreased with satisfactory directional control performance meanwhile.

Optimization of Zero-valent Iron Technology for Color Removal from Real Dye Wastewater (염색폐수 색도 제거를 위한 영가철 기술 최적화)

  • Lee, Jae Woo;Oh, Young Khee;Cha, Daniel K.;Lee, Taewon;Ko, Kwang Baik
    • Journal of Korean Society on Water Environment
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    • v.25 no.5
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    • pp.758-763
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    • 2009
  • This study presents the optimal conditions of zero-valent iron (ZVI) pretreatment for color removal from real dye wastewater. Removal of color by ZVI was strongly subject to the acidity of the wastewater buffering the pH increased after ZVI reduction. The real dye wastewater did not contain a sufficient amount of acidity and thus it was necessary to supplement acid to the dye wastewater before treatment. In continuous operation of iron column, the empty bed contact time (EBCT) and initial pH were varied to find the optimal conditions. A non-linear regression model fitted well the experimental result predicting that the optimal EBCT and pH for 80% removal efficiency was present in the range of 57~90 and 5~5.9, respectively. Color of column effluents could be further removed in the following biological oxidation step and the biodegradability of wastewater was also enhanced after iron pretreatment.

Stochastic convexity in markov additive processes (마코프 누적 프로세스에서의 확률적 콘벡스성)

  • 윤복식
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1991.10a
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    • pp.147-159
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    • 1991
  • Stochastic convexity(concvity) of a stochastic process is a very useful concept for various stochastic optimization problems. In this study we first establish stochastic convexity of a certain class of Markov additive processes through the probabilistic construction based on the sample path approach. A Markov additive process is obtained by integrating a functional of the underlying Markov process with respect to time, and its stochastic convexity can be utilized to provide efficient methods for optimal design or for optimal operation schedule of a wide range of stochastic systems. We also clarify the conditions for stochatic monotonicity of the Markov process, which is required for stochatic convexity of the Markov additive process. This result shows that stochastic convexity can be used for the analysis of probabilistic models based on birth and death processes, which have very wide application area. Finally we demonstrate the validity and usefulness of the theoretical results by developing efficient methods for the optimal replacement scheduling based on the stochastic convexity property.

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Stochastic convexity in Markov additive processes and its applications (마코프 누적 프로세스에서의 확률적 콘벡스성과 그 응용)

  • 윤복식
    • Journal of the Korean Operations Research and Management Science Society
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    • v.16 no.1
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    • pp.76-88
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    • 1991
  • Stochastic convexity (concavity) of a stochastic process is a very useful concept for various stochastic optimization problems. In this study we first establish stochastic convexity of a certain class of Markov additive processes through probabilistic construction based on the sample path approach. A Markov additive process is abtained by integrating a functional of the underlying Markov process with respect to time, and its stochastic convexity can be utilized to provide efficient methods for optimal design or optimal operation schedule wide range of stochastic systems. We also clarify the conditions for stochastic monotonicity of the Markov process. From the result it is shown that stachstic convexity can be used for the analysis of probabilitic models based on birth and death processes, which have very wide applications area. Finally we demonstrate the validity and usefulness of the theoretical results by developing efficient methods for the optimal replacement scheduling based on the stochastic convexity property.

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The Optimal Preform Design for Automotive Differential Bevel Gear (자동차용 차동 베벨기어의 최적 예비성형체 설계)

  • 김병민;김동환;정구섭
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.1
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    • pp.184-189
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    • 2004
  • In this paper, the warm forging process sequence has been determined to manufacture the warm forged product for the precision bevel gear used as the differential gear unit of a commercial automobile. The preform shape of bevel gear influences the dimensional accuracy and stiffness of final product. The aspect ratio and chamfer length are considered as design parameters to achieve adequate metal distribution in the finish forging operation. Then the optimal conditions of design parameters have been selected by artificial neural network (ANN). Finally, to verify the optimal preform shape, the experiments of the warm forging of the bevel gear have been executed. The proposed method can give more systematic and economically feasible means for designing the preform shape in metal forming process.

Power Quality Optimal Control of Railway Static Power Conditioners Based on Electric Railway Power Supply Systems

  • Jiang, Youhua;Wang, Wenji;Jiang, Xiangwei;Zhao, Le;Cao, Yilong
    • Journal of Power Electronics
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    • v.19 no.5
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    • pp.1315-1325
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    • 2019
  • Aiming at the negative sequence and harmonic problems in the operation of railway static power conditioners, an optimization compensation strategy for negative sequence and harmonics is studied in this paper. First, the hybrid RPC topology and compensation principle are analyzed to obtain different compensation zone states and current capacities. Second, in order to optimize the RPC capacity configuration, the minimum RPC compensation capacity is calculated according to constraint conditions, and the optimal compensation coefficient and compensation angle are obtained. In addition, the voltage unbalance ${\varepsilon}_U$ and power factor requirements are satisfied. A PSO (Particle Swarm Optimization) algorithm is used to calculate the three indexes for minimum compensating energy. The proposed method can precisely calculate the optimal compensation capacity in real time. Finally, MATLAB simulations and an experimental platform verify the effectiveness and economics of the proposed algorithm.

Theoretical Study on Optimal Conditions for Absorbent Regeneration in CO2 Absorption Process (이산화탄소 흡수 공정에서 흡수액 최적 재생 조건에 대한 이론적 고찰)

  • Park, Sungyoul
    • Korean Chemical Engineering Research
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    • v.50 no.6
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    • pp.1002-1007
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    • 2012
  • The considerable portion of energy demand has been satisfied by the combustion of fossil fuel and the consequent $CO_2$ emission was considered as a main cause of global warming. As a technology option for $CO_2$ emission mitigation, absorption process has been used in $CO_2$ capture from large scale emission sources. To set up optimal operating parameters in $CO_2$ absorption and solvent regeneration units are important for the better performance of the whole $CO_2$ absorption plant. Optimal operating parameters are usually selected through a lot of actual operation data. However theoretical approach are also useful because the arbitrary change of process parameters often limited for the stability of process operation. In this paper, a theoretical approach based on vapor-liquid equilibrium was proposed to estimate optimal operating conditions of $CO_2$ absorption process. Two $CO_2$ absorption processes using 12 wt% aqueous $NH_3$ solution and 20 wt% aqueous MEA solution were investigated in this theoretical estimation of optimal operating conditions. The results showed that $CO_2$ loading of rich absorbent should be kept below 0.4 in case of 12 wt% aqueous $NH_3$ solution for $CO_2$ absorption but there was no limitation of $CO_2$ loading in case of 20 wt% aqueous MEA solution for $CO_2$ absorption. The optimal regeneration temperature was determined by theoretical approach based on $CO_2$ loadings of rich and lean absorbent, which determined to satisfy the amount of absorbed $CO_2$. The amount of heating medium at optimal regeneration temperature is also determined to meet the difference of $CO_2$ loading between rich and lean absorbent. It could be confirmed that the theoretical approach, which accurately estimate the optimal regeneration conditions of lab scale $CO_2$ absorption using 12 wt% aqueous $NH_3$ solution could estimate those of 20 wt% aqueous MEA solution and could be used for the design and operation of $CO_2$ absorption process using chemical absorbent.

Optimal Design of Orifice typed Distribution Channel using Step Method Program (Step method 프로그램을 이용한 orifice 분배수로의 최적 설계에 관한 연구)

  • Park, No-Suk;Park, Sangcheol;Kim, Sung-soo;Lee, Seonjoo;Jeong, Nam-Jeong
    • Journal of Korean Society of Water and Wastewater
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    • v.20 no.5
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    • pp.691-700
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    • 2006
  • This study conducted to optimize the design and operation of orifice typed distribution channels which were generally constructed to link the rapid mixing process and flocculation/sedimentation basin. To accomplish the goal of this study, programming step method using FORTRAN 90, was applied it to simulate the performance of existing distribution channel in the selected S DWTP (Drinking Water Treatment Plant). The proposed step method program was validated in terms of the feasibility with comparison between the measurement and prediction value in each orifice. From the evaluation results of the current conditions with the design and operation, it was revealed that the existing gradient of the tapered channel is not appropriate. Also, we suggested that in the case of the inlet width being 3.5m, reducing the downstream width by about 0.5m would make more equitable distribution flow in the channel. Consequently, dealing with various conditions of the design and operation with distribution channel, we could conclude that for the parallel typed channel, as the width is wider and the diameter of orifice is smaller, the more equitable distribution occur. In addition, the inlet flowrate and the number of orifice can affect the flow velocity in the channel.