scholarly journals Mitigation of Ground Vibration due to Collapse of a Large-Scale Cooling Tower with Novel Application of Materials as Cushions

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Feng Lin ◽  
Qiheng Zhong

Ground vibration induced by the collapse of large-scale cooling towers in nuclear power plants (NPPs) has recently been realized as a potential secondary disaster to adjacent nuclear-related facilities with demands for vibration mitigation. The previous concept to design cooling towers and nuclear-related facilities operating in a containment as isolated components in NPPs is inappropriate in a limited site which is the cases for inland NPPs in China. This paper presents a numerical study on the mitigation of ground vibration in a “cooling tower-soil-containment” system via a novel application of two materials acting as cushions underneath cooling towers, that is, foamed concrete and a “tube assembly.” Comprehensive “cooling tower-cushion-soil” models were built with reasonable cushion material models. Computational cases were performed to demonstrate the effect of vibration mitigation using seven earthquake waves. Results found that collapse-induced ground vibrations at a point with a distance of 300 m were reduced in average by 91%, 79%, and 92% in radial, tangential, and vertical directions when foamed concrete was used, and the vibrations at the same point were reduced by 53%, 32%, and 59% when the “tube assembly” was applied, respectively. Therefore, remarkable vibration mitigation was achieved in both cases to enhance the resilience of the “cooling tower-soil-containment” system against the secondary disaster.

1988 ◽  
Vol 110 (2) ◽  
pp. 190-196 ◽  
Author(s):  
D. J. Benton ◽  
W. R. Waldrop

A computer model of the simultaneous heat, mass, and momentum transfer processes occurring throughout an entire cooling tower is described in this paper. The model includes the flexibility to analyze the several configurations, fill arrangements, and flow distributions commonly used by the power industry. The fundamental governing equations are solved using a finite-integral technique to provide a quasi-two-dimensional description of the flow and cooling process within the tower. The model has been successfully compared with field data from cooling towers at three TVA power plants as well as data from other utilities. Each of these towers was significantly different in design, thereby demonstrating the versatility of the model for correctly predicting the cooling performance of mechanical and natural draft towers, as well as crossflow and counterflow orientations, for a range of meteorological and plant operating conditions.


2019 ◽  
Vol 116 ◽  
pp. 00081
Author(s):  
Alexander Solovyev ◽  
Dmitriy Solovyev ◽  
Liubov Shilova ◽  
Aleksey Adamtsevich

The paper aims to perform numerical modelling of the operation of large-scale evaporative cooling towers of power plants considering dynamically changing hydrometeorological conditions. The proposed modelling was performed based on the developed mathematical algorithm for studying the influence of turbulent vortex motions on the processes of atmospheric cooling of circulating water in countercurrent cooling towers of power plants. According to the simulation results, the optimal heat exchange modes of cooling towers operation are determined and recommendations for the practical implementation of measures to improve their thermal efficiency in hot periods of the year are proposed.


2020 ◽  
Vol 15 (3) ◽  
pp. 421-426
Author(s):  
Beomjoon Lee ◽  
Chul Woo Roh ◽  
Bong Soo Choi ◽  
Eunseok Wang ◽  
Ho-Sang Ra ◽  
...  

Abstract Cooling towers are widely used not only for commercial and industrial purposes but also for cooling power plant. In Korea, coal-fired power plants and nuclear power plants are generally located on the coast, while most combined-power plants are located inland and use cooling towers to condense steam. The operation rate of power plants in Korea highly depends on government energy policies. In the future, it is expected that the need for cooling tower water for inland power plant will increase. Since power plant is one of the massive water-consuming facilities, methods for water saving of cooling tower should be prepared. Also, in the industrial sector, plume is constantly raising social conflicts between residents and manufactures. Basically, similar technologies can be applied to water saving and plume abatement. In this study, the performance of the condensing module (outdoor-air-condensing method) using outside air was tested first. This module has an advantage in that cooling heat source is not necessary. But an excessive increase of fan air volume is required. We tested a membrane-dehumidification method that selectively transfers water vapor by applying a membrane module. The results showed that membrane module required a large amount of energy to generate vapor pressure difference and it had a disadvantage in energy usage. Since the membrane method considered requires a high bypass airflow for higher dehumidification, it also has a disadvantage similar to that of the outdoor air module. Finally, the dehumidification/regeneration module (heat-pump method) gave the best performance in terms of water saving and plume abatement.


2015 ◽  
Vol 295 ◽  
pp. 27-39 ◽  
Author(s):  
Feng Lin ◽  
Hongkui Ji ◽  
Xianglin Gu ◽  
Yi Li ◽  
Mingreng Wang ◽  
...  

2017 ◽  
Vol 21 (6 Part A) ◽  
pp. 2491-2501 ◽  
Author(s):  
Qian Wang ◽  
Pei-Hong Wang ◽  
Zhi-Gang Su

This paper proposes an analytical model for simultaneous heat and mass transfer processes in a counter flow wet cooling tower, with the assumption that the enthalpy of the saturated air is a linear function of the water surface temperature. The performance of the proposed analytical model is validated in some typical cases. The validation reveals that, when cooling range is in a certain interval, the proposed model is not only comparable with the accurate model, but also can reduce computational complexity. In addition, with the proposed analytical model, the thermal performance of the counter flow wet cooling towers in power plants is calculated. The results show that the proposed analytical model can be applied to evaluate and predict the thermal performance of counter flow wet cooling towers.


Author(s):  
Rui Chen ◽  
Deying Zhang ◽  
Zhengqing Zhang ◽  
Qiang Han ◽  
Suoying He ◽  
...  

Author(s):  
Stefan aus der Wiesche

Abstract Flexible plant operation and rapid load changes become major issues for steam turbine operation. In thermal power plants, the steam turbine performance is closely related to the condenser, and an accurate prediction of coolant temperature as function of changing weather conditions is necessary in order to optimize power plant fleet operation. In this contribution, a one-dimensional model for simulating the performance of large natural draft wet cooling towers is presented. The evaporation zone model rests on the evaporative cooling theory developed by Merkel and Poppe. The off-design behavior of the cooling tower, that is relevant to part load performance, is modeled by an empirical power-law approach. A user-friendly method is presented in order to identify required model parameters by means of already available power plant data. The simulation tool can be employed easily for existing power plants for which the original cooling tower design and construction data lost their validity. The outcome of the present calculation method is successfully compared with field data from representative cooling towers at Middle-European sites.


2015 ◽  
Vol 6 (1) ◽  
pp. 1-29
Author(s):  
Ahmad Mozaffari ◽  
Mehdi Emami ◽  
Nasser L. Azad ◽  
Alireza Fathi

Metaheuristic techniques have successfully contributed to the development and optimization of large-scale distributed power systems. The archived literature demonstrate that the modification or tuning of the parameters of specific metaheuristics can provide powerful tools suited for optimization of power plants with different types of constraints. In spite of the high potential of metaheuristics in dealing with such systems, most of the conducted researches only address the optimization of the electrical aspects of power systems. In this research, the authors intend to attest the applicability of metaheuristics for optimizing the mechanical aspects of a real-world large-scale power plant, i.e. Neka power plant sited in Mazandaran, Iran. To do so, firstly, based on the laws of thermodynamics and the physics of the problem at hand, the authors implement a mathematical model to calculate the values of exergetic efficiency, energetic efficiency, and total cost of the Neka power plant as three main objective functions. Besides, a memetic supervised neural network and Bahadori's mathematical model are used to calculate the dynamic values of specific heat over the operating procedure of the power plant. At the second stage, a modified version of a recent spotlighted Pareto based multiobjective metaheuristic called synchronous self-learning Pareto strategy (SSLPS) is proposed. The proposed technique is based on embedding logistic chaotic map into the algorithmic architecture of SSLPS. In this context, the resulting optimizer, i.e. chaos-enhanced SSLPS (C-SSLPS), uses the response of time-discrete nonlinear logistic map to update the positions of heuristic agents over the optimization procedure. For the sake of comparison, strength Pareto evolutionary algorithm (SPEA 2), non-dominated sorting genetic algorithm (NSGA-II) and standard SSLPS are taken into account. The results of the numerical study confirm the superiority of the proposed technique as compared to the other rival optimizers. Besides, it is observed that metaheuristics can be successfully used for optimizing the mechanical/energetic parameters of Neka power plant.


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