Numerical study of water flow rates in power plant cooling systems

Regucki, Paweł; Lewkowicz, Marek; Krzyżyńska, Renata; Jouhara, Hussam

doi:10.1016/j.tsep.2018.04.015

Cited by 9 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A new design of the hybrid cooling system for large-scale steam turbine power plant generators was developed to assess the performance [25]. The water flow in the power plant's cooling towers also shows a significant effect, and a numerical investigation has been done in this direction [26][27]. An investigation was made to assess thermal power plants' sustainability in low water areas using cooling towers [28].…”

Section: Related Workmentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This system has a payback period of around 4 years as well as it consumes less electricity and emits low amount of CO2 in comparison with the window-type air condition [49]. The second critical parameter in cooling systems is the water flow rate [81]. It is very necessary to optimize the flow rate and especially the wasted water released to the natural reservoirs due to its significant environmental impact [82].…”

Section: Waste Heat Recoverymentioning

confidence: 99%

Recent advances in district energy systems: A review

Mahmoud

Ramadan

Naher

et al. 2020

Thermal Science and Engineering Progress

View full text Add to dashboard Cite

World energy consumption has increased significantly in the last decade and for this reason several energy management strategies are currently under investigation to accommodate this high demand. In this frame, the current paper presents a review of the advances of district systems (DSs) which offers a contribution to the mission to reduce the environmental and economic impact of energy consumption. The aim of the study is to examine the potential of these systems and their ability to cope with the requirements of energy demands. Additionally, the paper reviews several optimization strategies including poly-generation, cogeneration and energy storage that could be adopted to upgrade the performance of DSs. Furthermore, the paper discusses the main obstacles facing the development of this domain and proposes some suggestions to encourage adoption of the district approach.

show abstract

“…Thermal power plants consume large amounts of fresh water during the power generation process [2]. It has been reported that the water consumption of thermal power plants accounts for 11% of the total industrial water consumption in the country, and the circulating cooling water system of thermal power plants itself accounts for 84% of the water consumption of thermal power plants [3,4]. Therefore, reducing the consumption of circulating cooling water is of great significance for realizing zero liquid discharge in power plants in accordance with the national zero liquid discharge policy.…”

Section: Introductionmentioning

confidence: 99%

Application of Chemical Crystallization Circulating Pellet Fluidized Beds for Softening and Saving Circulating Water in Thermal Power Plants

Wang

et al. 2019

IJERPH

View full text Add to dashboard Cite

The circulating pellet fluidized bed (CPFB) softening method is a highly efficient and environmentally friendly softening technology that can be used to reduce water hardness during the pretreatment process of circulating water in thermal power plants. The performance of chemical crystallization CPFB reactors was tested for increasing the concentration ratio and softening the circulating water in a thermal power plant in Dingzhou, Hebei. The results show that usage of CPFB reactors removed water hardness and Ca2+ ions with efficiencies exceeding 60% and 90%, respectively. The size of the particles discharged from the reactors was approximately 1–3 mm, and the content of CaO in these particles was found to be greater than 50%. All the discharged particles were reused in the desulfurization system in the power plant. The operational cost of the CPFB system is US$0.074 per cubic meter of water. After adopting the proposed CPFB softening method in the Dingzhou Power Plant, the concentration ratio of the circulation cooling water was increased from 4.5 to more than 9. In addition, the amount of replenished water and sewage discharge were both reduced by 150 m3/h, and the amount of scale inhibitor used in the system was reduced by more than 30%. These improvements contribute to approximately US$200,000 in annual savings in the power plant. In summary, the CPFB softening method demonstrated a high hardness removal rate, strong economic benefits, and remarkable environmental and social benefits. Therefore, this method seems ideal for softening replenished circulating cooling water, increasing the concentration ratio of the water and achieving zero liquid discharge (ZLD) in thermal power plants.

show abstract

Numerical study of water flow rates in power plant cooling systems

Cited by 9 publications

References 11 publications

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

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

Recent advances in district energy systems: A review

Application of Chemical Crystallization Circulating Pellet Fluidized Beds for Softening and Saving Circulating Water in Thermal Power Plants

Contact Info

Product

Resources

About