Water Temperature Regimen Analysis of Intensive Fishfarms associated with Cooling Effluents from Power Plants

2007 ◽  
Vol 96 (4) ◽  
pp. 581-591 ◽  
Author(s):  
J.C. Gutiérrez-Estrada ◽  
I. Pulido-Calvo
Author(s):  
Longkun He ◽  
Pengfei Liu ◽  
Xisi Zhang ◽  
Wenjun Hu ◽  
Bo Kuang ◽  
...  

In nuclear power plants, fuel-coolant interaction (FCI) often accompanied with core melt accidents, which may escalate to steam explosion destroying the integrity of structural components and even the containment under certain conditions. In the present study, a new facility for intermediate-scaled experiments named ‘Test for Interaction of MELt with Coolant’ (TIMELCO) has been set up to study FCI phenomena and thermal-hydraulic influence factors in metal or metallic oxide/water mixtures with melt at maximum 2750°C. The first series of tests was performed using 3kg of Sn which was heated to 800°Cand jetted into a column of 1m water depth (300mm in diameter) under 0.1MPa ambient pressure. The main changing parameter was water temperature, at 60 °C and 72 °C respectively. From the high-speed video camera, violent explosion phenomenon occurred at water temperature of 60°C, while no evident explosion observed at 72°C. The size of melt debris at 60°C is smaller than this at 72°C.On the contrary, the dynamic pressure at 60°C is larger. The results indicate that water temperature has an important effect on FCI and decreasing the temperature of the coolant is advantageous to the explosion.


Dharma LPPM ◽  
2020 ◽  
Vol 1 (2) ◽  
Author(s):  
I W Jondra ◽  
I M Aryasa Wiryawan ◽  
I G Suputra Widarma ◽  
IGP Mastawan ◽  
I G N A Dwijaya Saputra

The Covid-19 pandemic was accompanied by food security threat, due by economic disruptions. The pandemic and the winter is increasingly food security threat in Desa Lumbung, Selemadeg Barat, Tabanan, Bali. In Bali, winter usually occurs between July and November, it has an impact on the lower water temperature, which triggers the harvest failure of the fish seed, because the water temperature lower than 25 degrees celcius, but fish seed well grow up in the range of water temperature 25 to 30 degrees celcius.The Department of Electrical Engineering of the State Polytechnic of Bali has carried out community service activities in Desa Lumbung. The activities is training to construction, operation and maintenance of arduino-based of water heaters for fish seed pond and solar power plants, which have been proven to be able to maintain water temperature. Even though in the winter the water temperature is maintained between 25 to 30 degrees celcius, it maintains the harvest of fish seeds   every 45 days. The success of this harvest will support food security in Desa Lumbung.Solar power plants are chosen as an energy source, because that is a green energy. This is in line with the Bali State Polytechnic as a center of excellent  technology for green tourism. The output of this activities is proven, it must  to be massive done and the government must increases the budget for the implementation. Food security is very important to maintain the stability of the Republic of Indonesia.


Author(s):  
Victorita Radulescu

Abstract Water temperature is an important parameter that influences the life near watercourses. The physical and chemical properties as the density and viscosity, gas solubility in water and in particular of the oxygen, the kinematics of the micro-biological and chemical phenomena affects not only the aquatic life but also the human life and animals living near the watercourse. In the Jiu river is discharged the water coming from the cooling towers of three thermo-electric power plants placed upstream. According to the recent researches realized by the EU Environmental Commission in Romania until 2050 the average temperature could rise by about 2°C. This paper presents the ability of a “neural networks” model to predict the water temperature in the lower part of the Jiu River. A database realized in over nine years in the measuring station Izbiceni, from the Olt County is used, concerning the water temperature (Tw) and the air temperature (Ta). The developed neural network is structured on five input variables and 9 hidden layers, 7 as sub-input and 2 as output. The stochastic time series is based on the separation of values for water Tw and air Ta in seasonal and daily fluctuations components. The schematic structure of the implemented neural network is presented, for obtaining the short-term and the seasonal components of the temperatures. The contact points are adjusted by the method of reprogramming after a gradient algorithm, in order to minimize the quadratic error between the output results and the relevant observed values. The performance of the neural network is based on estimation the thermal changes of the operation mode. For testing the numerical model, the calculations were performed using only the data recorded in nine years, in order to estimate a forecast for the next two years. The results are very close to the experimental recorded data and the obtained errors are less than 0.5°C. At the end of the paper are presented some results, conclusions and references.


Author(s):  
Ram Srinivasan

The concept of optimum cooling water temperature rise in a power plant has been introduced in this study as that which corresponds to the highest possible net plant output. Every power plant having a steam turbine exhausting to a water-cooled condenser has a unique optimum cooling water temperature rise. This optimum temperature rise may not be the minimum possible as often inadvertently assumed by power plant designers. This optimum temperature rise is a strong function of the steam turbine exhaust parameters. The author has developed correlations, which will help determine the optimum temperature rise using easily available power plant design parameters. This paper will discuss the details behind this method and show the thermal and financial advantages of designing a plant with this concept. A proper understanding of this concept will enable power plant designers to economically and efficiently size the condenser cooling water system.


2010 ◽  
Vol 14 (suppl.) ◽  
pp. 53-66 ◽  
Author(s):  
Mirjana Lakovic ◽  
Mladen Stojiljkovic ◽  
Slobodan Lakovic ◽  
Velimir Stefanovic ◽  
Dejan Mitrovic

The conventional steam power plant working under the Rankine Cycle and the steam condenser as a heat sink and the steam boiler as a heat source have the same importance for the power plant operating process. Energy efficiency of the coal fired power plant strongly depends on its turbine-condenser system operation mode. For the given thermal power plant configuration, cooling water temperature or/and flow rate change generate alterations in the condenser pressure. Those changes have great influence on the energy efficiency of the plant. This paper focuses on the influence of the cooling water temperature and flow rate on the condenser performance, and thus on the specific heat rate of the coal fired plant and its energy efficiency. Reference plant is working under turbine-follow mode with an open cycle cooling system. Analysis is done using thermodynamic theory, in order to define heat load dependence on the cooling water temperature and flow rate. Having these correlations, for given cooling water temperature it is possible to determine optimal flow rate of the cooling water in order to achieve an optimal condensing pressure, and thus, optimal energy efficiency of the plant. Obtained results could be used as useful guidelines in improving existing power plants performances and also in design of the new power plants. <br><br><font color="red"><b> This article has been corrected. Link to the correction <u><a href="http://dx.doi.org/10.2298/TSCI151102198E">10.2298/TSCI151102198E</a><u></b></font>


Author(s):  
Weiliang Wang ◽  
Hai Zhang ◽  
Junfu Lv ◽  
Weidou Ni ◽  
Yongsheng Li ◽  
...  

The world’s first 1000MW double reheat ultrasupercritical unit has been in operation since September 25th, 2015 in Taizhou, China. The thermal efficiency at turbine heat-rate acceptance (THA) condition is around 51%, which is the highest among all condensing units in coal-fired power plants around the world. However, the resultant superheat degree of the extraction steam is relatively high, leading to a large temperature difference in heat transfer process in the regenerative system, thereby a great exergy loss. In order to utilize the superheat of turbine bleeds more effectively, we present a scheme by employing an outer steam cooler (OSC) after the last high pressure heater in series to use the superheat to heat the feed water. Based on the newly installed unit in Taizhou, we examine the energy saving effect of the superheat utilization of different bleeds and their possible combinations respectively. The influencing factors of the mass flow rate, superheat, and effective superheat of the extraction steam are studied. Thermodynamic analyses revealed that the second extraction steam has not only high effective superheat, but also large mass flow rate, so in the overall efficiency improvement it ranks first and the third extraction steam ranks second. Although the fourth extraction steam has the largest superheat, it ranks third as the result of relatively lower mass flow rate. It was found that at nominal load, by adopting OSC’s to utilize the superheat of the second to sixth extraction steam, temperature of the feed water can increase by 8.1 °C, 3.5 °C, 2.6 °C, 1.1 °C, and 1 °C respectively, and the net coal consumption reduces by 0.73g/kWh, 0.47g/kWh, 0.40g/kWh, 0.21g/kWh and 0.22g/kWh accordingly. Consequently, three possible schemes are recommended for future design: one is to adopt one OSC to utilize the superheat of the second extraction steam, in return of 8.1°C increment in feed water temperature and 0.73g/kWh reduction of the net coal consumption; the second is to adopt two OSC’s to utilize the superheat of the second and third extraction steam at the same time, in return of 11.4 °C increment in feed water temperature and 1.21g/kWh reduction of the net coal consumption; and the last is to apply three OSC’s to utilize the superheat of the second to the fourth extraction steam simultaneously, to achieve 13.9°C increment in feed water temperature, and 1.62g/kWh reduction of the net coal consumption.


2022 ◽  
Vol 2150 (1) ◽  
pp. 012010
Author(s):  
A D Vodeniktov ◽  
N D Chichirova

Abstract Study presents the results of the steam surface KCS-200-2 reconstruction. In order to maintain the dissolved oxygen concentration, according to the Code of Operation for Power Plants, the steam sparger was installed in condenser hotwell. Despite the abnormal air leakage level, reducing of dissolved oxygen concentration was reached. The dissolved oxygen concentration reduced, on average, by 2 times. As it was expected, in the cases of low inlet cooling water temperature, the final oxygen concentration did not reach the normal level. In last 3 tests the dissolved oxygen concentration was reduced to 19 mg /l. The results show a possibility of described reconstruction experience.


Author(s):  
Ram Srinivasan ◽  
Dan Yasi

For the purposes of this study, a hybrid cooling system is a combination of an open cycle heat sink such as a river and a closed cycle heat sink such as a cooling tower. Predicting the performance of power plants with hybrid cooling systems is an elaborate process. A typical hybrid power plant operates in four modes. 1) Once Through Mode 2) Hybrid Mode 3) Helper Mode and 4) Closed Cycle Mode. The variables affecting the operating mode of the plant are the ambient wet bulb, river water temperature, river water flow, and the permit allowed river water temperature rise. There are infinite possible combinations of these variables, and use of weekly or monthly average conditions may not capture sufficient detail for a rigorous economic analysis. The usual method to predict plant output, under varying conditions, would be to run heat balances for each case required. Such a process becomes extremely tedious when predicting hourly performance data, which can be desirable for economic studies of such systems. This paper will present a simplified method to predict the performance of a power plant with a hybrid cooling system for any given river water temperature, river water flow, ambient wet bulb temperature, and river water temperature rise. Such a method can be used in spreadsheets, which are convenient to use in financial calculations. This method was used to predict the performance of an actual power plant with hybrid cooling and yielded satisfactory results.


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