Membrane Capacitive Deionization for Cooling Water Intake Reduction in Thermal Power Plants: Lab to Pilot Scale Evaluation

Schepper, Wim De; Vanschepdael, Christophe; Huynh, Han; Helsen, Joost

doi:10.3390/en13061305

Cited by 7 publications

(3 citation statements)

References 33 publications

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“…The program determines the model type based on the coefficient of determination R 2 and the significance of the Fcount. The type of polynomial model can also be observed from the sum of squares in the model order (Sequential Model Sum of Squares), lack of fit test, R 2 , and adjusted-R 2 [24]. A model is considered good when it has significant values for the response and insignificant values for the lack of fit test.…”

Section: Optimization Of Factor Combinations For Cr (Vi) Ion Adsorptionmentioning

confidence: 99%

Optimization of Chromium (VI) Adsorption using Microalgae Biomass (Spirulina sp.) and its Application in Leather Tannery Waste

Adetya,

Arifin,

Anggriyani

et al. 2023

CHEESA

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<p class="E-JOURNALAbstractBodyEnglish">This study was conducted to examine the adsorption of Cr (VI) metal using Spirulina sp (inactive) biomass and its application in leather tannery wastewater. The treatment was carried out to determine the influence of independent variables on Cr (VI) adsorption with variations in pH, contact time, and metal solution concentration. The values of the solution pH, adsorption time, and concentration of the best metal solution were used to determine the center points of the optimization variables through Response Surface Methodology (RSM). The results showed that based on the FTIR test, macromolecules present in Spirulina sp biomass included amino, carboxylate, and hydroxy groups. The combination of factor variables that produced the optimum response was at pH 3.165, contact time of 66.58 minutes, and Cr (VI) metal ion solution concentration of 22.9 mg/L, resulting in a Cr (VI) adsorption efficiency of 69.66%. The adsorption pattern was included in the Freundlich adsorption isotherm, and the application of Spirulina sp biomass adsorbent to tannery waste reduced the concentration of Cr (VI) from 3.9 g/L to an undetectable level at <1.4 g/L.</p>

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Section: Optimization Of Factor Combinations For Cr (Vi) Ion Adsorptionmentioning

confidence: 99%

Optimization of Chromium (VI) Adsorption using Microalgae Biomass (Spirulina sp.) and its Application in Leather Tannery Waste

Adetya,

Arifin,

Anggriyani

et al. 2023

CHEESA

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“…An experimental study has been carried out to investigate the efficiency of the wet cooling tower having diverse packing compaction using the artificial neural network and particle swarm optimization algorithm [8]. An analysis to reduce water intake for cooling towers used in thermal power plants as a pilot study [9]. Membrane capacitive deionization (MCDI) has been done in this study.…”

Section: Introductionmentioning

confidence: 99%

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

et al. 2022

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Metaheuristic algorithms are extensively utilized to find solutions and optimize complex industrial systems' performance. In this paper, metaheuristic algorithms are utilized to predict the optimum value of the operational availability of a cooling tower in a steam turbine power plant. These techniques have some flaws like poor convergence speed, being stuck in local optima, and premature convergence. For this purpose, a novel efficient stochastic model is proposed for a cooling tower that is configured with six subsystems. The Markovian birth-death process is utilized to develop the Chapman-Kolmogorov differentialdifference equations. All the random variables are statically independent, and repairs are perfect. Failure rates are exponentially distributed, while repair rates follow the arbitrary distribution. Steady-state availability (SSA) of the system is derived concerning various failure and repair rates. The sensitivity analysis of SSA is also performed to identify the most critical component. Further, system availability is optimized using genetic algorithm (GA) and particle swarm optimization (PSO) because they are found to be more suitable for such types of problems. It is revealed that the PSO outperforms GA in predicting the availability of cooling towers used in steam turbine power plants.

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“…The optimization of CT operation with the use of membrane capacitive deionized water reduces water consumption and cost [26]. But, the research work related to minimization of feed and bleed operation concerning the operating and environmental condition is very few.…”

Section: Introductionmentioning

confidence: 99%

Assessing the factors affecting the water chemistry parameters in the auxiliary water system of a nuclear power plant

et al. 2020

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Cooling towers are used as a final heat sink which cools the reactor auxiliary systems and transfers the heat energy to the atmosphere. The reliability endowed upon the cooling tower operation in a nuclear power plant is considerably high when compared to other power plants since the proper functioning of auxiliary systems is crucial for the decay heat removal from the core. Hence, appropriate chemistry control is mandatory in the operation of cooling towers for corrosion control, scale prevention, and control of biological growth. The operating data and water chemistry parameters like conductivity, turbidity, free residual chlorine, pH, cycles of concentration, chlorides, hardness, and alkalinity are analyzed for a typical nuclear power plant. The effect of the individual water quality parameter is correlated by the Pearson matrix to find its influence on the system water chemistry parameter. It is observed that the build-up of chloride ions in the cooling water is the major contributing factor for the cooling tower feed and bleed operations. The aspect of reducing the feed and bleed operation is analyzed, and suitable modifications are suggested to reduce water consumption.

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Membrane Capacitive Deionization for Cooling Water Intake Reduction in Thermal Power Plants: Lab to Pilot Scale Evaluation

Cited by 7 publications

References 33 publications

Optimization of Chromium (VI) Adsorption using Microalgae Biomass (Spirulina sp.) and its Application in Leather Tannery Waste

Optimization of Chromium (VI) Adsorption using Microalgae Biomass (Spirulina sp.) and its Application in Leather Tannery Waste

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

Assessing the factors affecting the water chemistry parameters in the auxiliary water system of a nuclear power plant

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