Thermal Pollution Prediction in the Coastal Areas of the Houshi Power Plant in China

The thermal discharge from the Houshi power plant in China has been increased continuously with the increase in power supply. In order to understand the waste heat pollution conditions in the coastal areas of the Houshi power plant, we proposed a modified Princeton Ocean Model (POM) model to conduct three-dimensional numerical simulations for heat transport in the coastal areas of the plant. The proposed model has been verified to be valid in our previous study. This study employed the verified model to predict heat transport under the future operational conditions of the power plant with a thermal discharge of 217m3/s. The prediction results indicate that a larger area of waters near the plant outfall will have a temperature rise larger than 4°C, and this area of temperature rise is close to the water intake of the power plant. Besides, the heat accumulation phenomena will be serious in the depth direction and this will bring great influence to marine ecological environment, especially to benthic organisms. It is suggested that some measures are necessary to reduce temperature rise in the coastal areas of the Houshi power plant in the future.

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A Three-Dimensional Numerical Simulation of Heat Transport in the Coastal Areas of the Houshi Power Plant

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.356-360.2718 ◽

2011 ◽

Vol 356-360 ◽

pp. 2718-2724

Author(s):

Mu Lan Zhu ◽

Long Yan Cai ◽

Wen Zhi Cao ◽

Quan Lin Zhou

Keyword(s):

Power Plant ◽

Heat Transport ◽

Waste Heat ◽

Three Dimensional ◽

Ocean Model ◽

Coastal Areas ◽

Observation Data ◽

Thermal Discharge ◽

Proposed Model ◽

Good Agreement

The thermal discharge from the Houshi power plant has been increased continuously with the increase in power supply. In order to understand the waste heat pollution conditions in the coastal areas of the Houshi power plant, we proposed a modified Princeton Ocean Model (POM) model to conduct three-dimensional numerical simulations for heat transport in the coastal areas of the plant. The proposed model was verified using observation data in 2002 under previous operational condition of the power plant with a thermal discharge of . The verification results indicate that the simulation results of heat transport have a good agreement with observation ones.

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Experimental Study on the Effect of Heat-Retaining and Diversion Facilities on Thermal Discharge from a Power Plant

Water ◽

10.3390/w12082267 ◽

2020 ◽

Vol 12 (8) ◽

pp. 2267

Author(s):

Ruixia Hao ◽

Liyuan Qiao ◽

Lijuan Han ◽

Chun Tian

Keyword(s):

Power Plant ◽

Phase I ◽

Temperature Rise ◽

Retaining Wall ◽

Water Environment ◽

Phase Iii ◽

Thermal Discharge ◽

Surrounding Water ◽

The Impact ◽

Phase I And Ii

In order to reduce the influence of thermal discharge from the power plant on the surrounding water environment and the operation efficiency of the power plant, a distorted physical model was presented and applied to Huadian Kemen Power Plant for studying heat transport and analyzing the effects of heat-retaining and diversion facilities near the intake/outlet on the thermal discharge for six scenarios. Field investigations were also used to validate the model. This study is unique as it is the first to elaborate on the impact of heat-retaining and diversion facilities on thermal discharge. The results indicate that the construction of heat-retaining and diversion facilities can decrease the excess temperature at intake to meet the intake requirement and improve the distribution of low temperature rise, but the area of high temperature rise has an increase. When the heat-retaining wall and diversion dike were constructed, the maximum intake temperature rise of Phase III decreased significantly by 1.0–1.3 °C with an average decrease of 0.2 °C, and the maximum value of Phase I and II was reduced by 0.3 °C with little mean change. A comparative experiment with different construction heights was also conducted. Result analysis shows that when the crest elevation was reduced from 3 to 2 m, the influence on the intake temperature rise of Phase I and II could be ignored, and the average temperature rise of Phase III only had an increase of 0.1 °C, suggesting that constructions with 2 m play an effective role in reducing heat return to the intake.

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Effects of Thermal Discharge from the Coastal Power Plant on the Phytoplankton in Mesocosm Experiments

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.610-613.3428 ◽

2012 ◽

Vol 610-613 ◽

pp. 3428-3431 ◽

Cited By ~ 1

Author(s):

Hong Yang ◽

Gui Xiang Dai

Keyword(s):

Water Quality ◽

Power Plant ◽

Chlorophyll A ◽

Negative Correlation ◽

Temperature Rise ◽

Damage Assessment ◽

Quality Index ◽

Control Area ◽

Thermal Discharge ◽

Mesocosm Experiments

In order to study the effects of power plant thermal discharge on phytoplankton in different temperature rise. Mesocosm experiment has been done in Guohua plant near the Xiangshan Bay in July 2011. The variances of the water-quality index such as Chlorophyll a, DO, COD and nutrients were analyzed. The results shown that relative to the control area M3,the Chlorophyll a in M1 ( increased 0.8°C) decreased by 45%, while the M2 (increased 0.4°C) increased by 26%, thus, this paper comes to the conclusion that exotherm exceed 0.8°C cause harm on phytoplankton growth, and exotherm that is lower than 0.4°C cause little effect. The experiment found that the COD, DO and Chlorophyll a were positive correlation; nutrients and chlorophyll-a were negative correlation, these indicators can be used as auxiliary indicators in the damage assessment of the thermal discharge for phytoplankton.

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EFFECTS OF SEA-WATER FOULING ON A PLATE-FRAME HEAT EXCHANGER FOR UTILIZATION OF WASTE HEAT FROM POWER PLANT

10.1615/ihtc16.her.023852 ◽

2018 ◽

Author(s):

Wonkeun Baik ◽

Jaehyok Heo ◽

Rin Yun

Keyword(s):

Heat Exchanger ◽

Power Plant ◽

Sea Water ◽

Waste Heat

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Enabling the SMART Wind Power Plant of the Future Through Science-Based Innovation

10.2172/1377176 ◽

2017 ◽

Author(s):

Katherine L. Dykes ◽

M. M. Hand ◽

Eric J. Lantz ◽

Tyler J. Stehly ◽

Michael C. Robinson ◽

...

Keyword(s):

Power Plant ◽

Wind Power ◽

Wind Power Plant ◽

The Future

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Modeling temperature rise in multi-track reciprocating frictional sliding

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology ◽

10.1177/1350650120988230 ◽

2021 ◽

pp. 135065012098823

Author(s):

Thierry A Blanchet

Keyword(s):

Temperature Rise ◽

Peclet Number ◽

Maximum Temperature ◽

Uniform Heat Flux ◽

Heat Accumulation ◽

Stroke Length ◽

Péclet Number ◽

Maximum Temperature Rise ◽

Rectangular Patch ◽

Accumulation Effect

As in various manufacturing processes, in sliding tests with scanning motions to extend the sliding distance over fresh countersurface, temperature rise during any pass is bolstered by heating during prior passes over neighboring tracks, providing a “heat accumulation effect” with persisting temperature rises contributing to an overall temperature rise of the current pass. Conduction modeling is developed for surface temperature rise as a function of numerous inputs: power and size of heat source; speed and stroke length, and track increment of scanning motion; and countersurface thermal properties. Analysis focused on mid-stroke location for passes of a square uniform heat flux sufficiently far into the rectangular patch being scanned from the first pass at its edge that steady heat accumulation effect response is adopted, focusing on maximum temperature rise experienced across the pass' track. The model is non-dimensionalized to broaden the applicability of the output of its runs. Focusing on practical “high” scanning speeds, represented non-dimensionally by Peclet number (in excess of 40), applicability is further broadened by multiplying non-dimensional maximum temperature rise by the square root of Peclet number as model output. Additionally, investigating model runs at various non-dimensional speed (Peclet number) and reciprocation period values, it appears these do not act as independent inputs, but instead with their product (non-dimensional stroke length) as a single independent input. Modified maximum temperature rise output appears to be a function of only two inputs, increasing with decreasing non-dimensional values of stroke length and scanning increment, with outputs of models runs summarized compactly in a simple chart.

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