Numerical Modeling of Water Thermal Plumes Emitted by Thermal Power Plants

Durán-Colmenares, Azucena; Barrios-Piña, Héctor; Ramírez-León, Hermilo

doi:10.3390/w8110482

Cited by 18 publications

(14 citation statements)

References 10 publications

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“…An orthogonal curvilinear grid [21] was constructed using bathymetric data obtained from a number of surveys and Admiralty charts ( Figure 3). The calculated area was 4526 km 2 .…”

Section: The Calibration Of Temperature Rise Modelmentioning

confidence: 99%

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Temperature Rise of Seawater Simulation under the Influence of Sediment-Water Heat Exchange

Guo

2018

Water

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Alternating inundation and exposure of large tidal flats regions suggest that differences in thermodynamic properties of sediment and water cause an obvious heat exchange between the tidal sediment and seawater. Due to the influence of these sediment-water heat exchanges, the temperature of seawater changes dramatically in coastal areas. To understand and assess the effect of these heat exchanges on seawater temperature, a temperature rise numerical model is adopted to describe the influence of sediment-water heat exchange. The heat exchange is determined mainly by the temperature difference between the sediment and seawater. Thus, a sediment temperature model is developed to predict the temperature of tidal sediment and sediment-water heat flux under the alternating inundated or exposed condition. The surface sediment temperature, as the surface boundary condition of the model, is calculated by the heat balance at the surface, including solar radiation, atmospheric radiation, flat back radiation, latent, and sensible heat fluxes, soil heat flux, and sediment-water heat flux. The collected measured data of sediment temperature are used to verify the accuracy of the sediment temperature model. Based on this, the predicted sediment-water heat flux is provide to the temperature rise model. In the study site, the tidal flat of about 15.8 km 2 is adopted in the sediment temperature model, and the simulated time is from 11 to 31 May 2017 to meet the collected climate data. The results show that a clear temperature rise water area comes out near the shore considering the heat flux. In warmer season, the maximum water temperature rise is about 2 • C in the local area, and in the envelope area of a 1 • C temperature rise can reach 2.8 km 2. Certainly, the influence will be stronger after the simulated time moves into the middle of summer with stronger solar radiation.

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“…An orthogonal curvilinear grid [21] was constructed using bathymetric data obtained from a number of surveys and Admiralty charts ( Figure 3). The calculated area was 4526 km 2 .…”

Section: The Calibration Of Temperature Rise Modelmentioning

confidence: 99%

“…Ts +239.7 + 1621 (21) where U z is wind speed (m•s −1 ) at z-m above the water surface, and T s is the temperature ( • C) of the water surface.…”

Section: The Calibration Of Temperature Rise Modelmentioning

confidence: 99%

Temperature Rise of Seawater Simulation under the Influence of Sediment-Water Heat Exchange

Guo

2018

Water

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“…Tide observations from routine monitoring, coming from an extensive national network, are limited to point measurements. Numerous studies have used different modelling techniques in order to understand coastal dynamics [4][5][6][7][8]. In addition to the models, the use of high-resolution remote sensing data can contribute to better understanding of the coastal zone [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Coastal Tidal Effects on Industrial Thermal Plumes in Satellite Imagery

2019

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Coastal tidal effects on thermal plumes are investigated, exploiting remote sensing of two major coastal industrial installations. The installations use sea water as a coolant, which is then released back into coastal environments at a higher-than-ambient temperature, allowing the plume to be delineated from the ambient waters. Satellite-based thermal sensors observing the Earth at spatial resolutions of 90 and 100 m are used. It is possible to identify coastal features and thermal spatial distributions. This paper presents coastal tidal effects on detected plumes for two case studies: an intertidal embayment and open water exposure, both on the coast of the UK. We correlated the behaviours of thermal plumes using remotely sensed high resolution thermal imagery with tidal phases derived from tide gauges. The results show very distinct behaviours for the flood and ebb tides. The detected surface plume location was dependent on flow switching direction for the different types of tide. The detected surface area was dependent on the strength of the currents, with the largest area observed during the strongest currents. Understanding the dispersion of the plume is essential to influence understanding of any potential ecological impacts.

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“…Хотя результаты этих измерений высокоточные, этот метод требует больших ресурсов, поскольку размер выборки ограничен, и доступны только дискретные данные, которые не могут отражать пространственное изменение эффекта теплового шлейфа [20]. Важным методом исследования является численное моделирование, которое необходимо для понимания эффектов, которые оказывают термоэлектрические установки на окружающую среду [4,14].…”

Section: Introductionunclassified

Modeling Propagation of Thermal Pollutionin Large Water Bodies

Lyubimova¹,

Parshakova²

2019

W&E

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АннотацияВведение: работа посвящена изучению распространения тепловых загрязнений, созданных в результате отвода нагретой воды с тепловых электростанций, использующих прямоточную систему охлаждения, в крупных водных объектах. В прибрежных зонах, таких как устья рек, где водообмен ограничен масштабами водоема-приемника, сброс подогретой воды от промышленных объектов и электростанций может приводить к значительному повышению температуры воды. Это влияет на состояние флоры и фауны и угрожает жизнедеятельности живых организмов в воде. По этой причине важно оценить влияние нагретых водных масс в зависимости от метеорологических и технологических условий. Методы: в работе рассматривается пример работы Пермской ТЭЦ (Пермская ГРЭС), которая является одной из крупнейших тепловых электростанций в Европе. Исследование проводится для различных антропогенных и метеорологических условий. Поскольку вертикальное распределение температуры в таких резервуарах очень неоднородно, расчеты выполняются в рамках трехмерной модели. Метод расчетов основан на k-ε модели турбулентности с учетом плавучести, связанной с зависимостью плотности жидкости от температуры. Результаты: проведен расчет влияния ветра переменного направления для наиболее неблагоприятных условий как по экологическим, так и по технологическим показателям. Анализ результатов численного моделирования показал, что вблизи поверхности структура потока достаточно равномерна и определяется, главным образом, ветровым воздействием. Наблюдается значительное расслоение подогретых вод по глубине. Толщина слоя воздействия подогретых вод составляет 4-6 метров. Заключение: результаты расчетов актуальны для оценки тепловых загрязнений при работе тепловых электростанций, использующих прямоточную систему охлаждения. Ключевые слова: крупные водные объекты, тепловые загрязнения, трехмерное численное моделирование, k-ε модель турбулентности. Abstract Introduction:The study analyzes propagation of thermal pollution, resulting from removal of heated water from thermal power plants using a direct cooling system, in large water bodies. In coastal areas (e.g. river mouths), where water exchange is limited to the scale of a receiving reservoir, the discharge of heated water from industrial facilities and power plants can lead to a significant increase in water temperature. Such increase affects the state of flora and fauna and threatens the vital activity of living organisms in the water. Therefore, it is important to assess the effect of heated water masses depending on meteorological and technological conditions. Methods: The paper reviews a case study of the Perm CHP (Permskaya TPP)one of the largest thermal power plants in Europe. Various anthropogenic and meteorological conditions are considered. Since the vertical temperature distribution in such water bodies is very inhomogeneous, the calculations are performed within a three-dimensional model. The calculation method is based on the k-ε turbulence model, with account for the buoyancy related to the dependence of the fluid density on tempera...

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Numerical Modeling of Water Thermal Plumes Emitted by Thermal Power Plants

Cited by 18 publications

References 10 publications

Temperature Rise of Seawater Simulation under the Influence of Sediment-Water Heat Exchange

Temperature Rise of Seawater Simulation under the Influence of Sediment-Water Heat Exchange

Coastal Tidal Effects on Industrial Thermal Plumes in Satellite Imagery

Modeling Propagation of Thermal Pollutionin Large Water Bodies

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