SIMULATION MODEL FOR AQUACULTURE POND HEAT BALANCE: I MODEL DEVELOPMENT (original) (raw)

SIMULATION MODEL FOR AQUACULTURE POND HEAT BALANCE: II MODEL EVALUATION AND APPLICATION

The performance of a model developed by Ali (2006) to simulate aquaculture pond temperature was evaluated using sensitivity analysis and the model verified with data from aquaculture pond. The sensitivity analysis showed that output varied linearly with changes in average air temperature and solar radiation. Results from model verification runs showed that the model performance was satisfactory with respect to aquaculture pond temperature. In the future, the model will be used to investigate the effects of aquaculture pond temperature on daily growth rate to obtain the weight of individual fish throughout the year

Modeling the thermal performance of an aquaculture pond heating with greenhouse

Building and Environment, 2007

A transient analytical model is presented to study the effectiveness of an even shape greenhouse used for heating the aquaculture pond during extreme winters. The model was solved for the climatic conditions of Delhi (Latitude: 28135 0 N), representing the northern India (comprising the states of Haryana, Punjab, Uttarakhand and Himachal Padesh) for the typical day (20th January) of winter. A simple trapezoidal design of aquaculture pond is proposed. Parametric studies involved the effects of length, breadth, depth, inclination of lining of fishpond, depth of water and air change in the greenhouse on the water heating in the fishpond. The performance of fishpond was assessed in terms of temperature gain, mean thermal efficiency and thermal load leveling. The optimum parameters for fishpond were 30 m length, 16 m breadth, 1.25 m depth, 1.0 m water depth, 751 lining inclination, and 8 air changes per hour for maximum temperature gain, maximum thermal efficiency and minimum thermal load leveling. A 20 1C rise in water temperature could be achieved during the day and 11 1C in the month of January. The maximum heat gain and loss are at around 16:00 and 7:00 h of the days, respectively.

Simulation of a low-cost method for solar-heating an aquaculture pond

Energy in Agriculture, 1981

A greenhouse computer model was used to predict the temperature change of a solarheated aquaculture pond that is insulated with a double layer of transparent plastic film suspended over the pond. The results showed that a 9 ° C rise in water temperature can be achieved in January in Phoenix, AZ. This implies that such covers could allow year-round aquaculture production in Phoenix and other southern U.S. areas. Furthermore, the economics of a covered nursery pond operation appear particularly attractive.

1 Thermal Modeling of a Greenhouse Fish Pond System

2005

A thermal model has been developed for heating the aquaculture pond by even span greenhouse. Numerical computations have been performed for a typical day in the month of January, 2005 for the composite climate of New Delhi. The energy balance equations have been written considering the effects of conduction, convection, radiation, evaporation and ventilation, etc. The model has been validated with the experimental data. From the results, it was observed that the predicted values of room temperature and water temperature in the tanks of the greenhouse obtained from the proposed model exhibited fair agreement with the experimental values.

Thermal Modeling of a Greenhouse Fish Pond System

2005

Abstract: This is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 7 (2005): Thermal Modeling of a Greenhouse Fish Pond System by Bikash Sarkar and GN Tiwari

Study of thermal aspects in open and greenhouse ponds

International Journal of Energy Research, 2006

In this study, thermal aspects, e.g. convective heat transfer coefficients were evaluated and modelled in open and greenhouse pond systems (natural convection). Values of the constants C and n were determined by linear regression analysis from the experimental data. It was observed that the ranges of the convective heat transfer coefficient were strongly dependent upon D/H (Diameter / Height) ratio of the container. It was also observed that the uninsulated container 5 (D=H ¼ 5:240) and the insulated container 1 (D=H ¼ 0:196) indicate minimum and maximum convective heat transfer coefficient in winter and summer months, respectively. Predicted and experimental values of convective heat transfer coefficients, verified in terms of root mean square of percent deviation, correlation coefficient and error bars (AE SD), exhibit fair agreement. The model has been validated for the composite climate of New Delhi.

Thermal modeling and parametric studies of a greenhouse fish pond in the Central Himalayan Region

Energy Conversion and Management, 2006

This study describes the thermal modeling and its validation of greenhouse fish pond systems. Numerical computations have been performed for a typical day in the month of June, 2005, for the climatic condition of Champawat in the Central Himalayan Region. The energy balance equations have been written considering the effects of conduction, convection, radiation, evaporation and ventilation. The governing equations are numerically solved with Matlab 7.0 software to predict the water temperature. A parametric study has also been performed to find the effects of various parameters, namely the number of air changes per hour, the transmissivity (s) and the isothermal mass and height of the greenhouse. It is observed that there is no significant effect in the parametric studies on water temperature due to the larger isothermal mass. The model has been validated with experimental data. On an average, the even span passive greenhouse fish pond can increase the inside temperature 4.14°C higher than the temperature of an outdoor pond. Statistical analysis shows that the predicted and experimental values of water temperature exhibited fair agreement with a coefficient of correlation r = 0.90 and root mean square percent deviation e = 1.67%.

Temperature and Salinity Gradients Analysis for a Solar Pond Prototype

IOP Conference Series: Materials Science and Engineering, 2019

In this study, a solar pond prototype is used to analyze the temperature and salinity gradients of alternative energy source processes. The study used two types of solar pond to investigate the temperature and salinity of gradients from each solar pond. The first solar pond utilizes sunlight as a heat source that emitted directly on the solar pond and the second solar pond utilizes the spotlights as a direct heat source emitted on the solar pond. The first solar pond is made of a cylindrical plastic tank of 1.05 m tall, 0.8 m in diameter placed outdoors in direct sunlight and the second solar pond model is made of a trapezium plastic tank with a height of 0.9m, the upper diameter 0.54m and a bottom diameter of 0.49m placed indoors with floodlights. The gradient temperature salinity and temperature measurement in the fest solar pond are smaller than temperature in the second solar pond however, the T3 temperature in the outdoor solar pond is larger than the indoor solar pond. The obs...

Heat Balance and Heat Transfer Analysis in a Pilot Solar Pond

Solar ponds are salt gradient ponds which are used to collect and store solar energy. This collected energy is utilized for process heating, power generation and to achieve refrigeration. In this paper, a detailed analytic calculation is being carried out, in order to perform heat transfer analysis for a pilot solar pond of dimensions, 60cm (Length) × 50cm (Breadth) × 60 cm (height). The various physical parameters determined in this calculation are (i) Heat Balance at the surface of the solar pond, (ii) Rate of thermal energy reaching the lower convective zone of the solar pond and (iii) Rate of heat transfer through the in-pond heat exchanger of the solar pond.

New theoretical modelling of heat transfer in solar ponds

Solar Energy, 2016

Solar energy has a promising future as one of the most important types of renewable energy. Solar ponds can be an effective way of capturing and storing this energy. A new theoretical model for a heat transfer in a salinity gradient solar pond has been developed. The model is based on the energy balance for each zone of the pond; three separate zones have been considered, namely the upper convective zone, the lower convective zones, as well as the non-convective zone. The upper and lower zones are considered to be well mixed, which means the temperatures in these zones are uniform. The model shows that the temperature in the storage zone can reach more than 90 °C during the summer season whereas it can be more than 50 °C in winter if the pond is located in the Middle East. In addition, the time dependent temperature for the three layers has been found. Furthermore, it is concluded that heat loss from the pond's surface occurs mainly by evaporation, in comparison to convection and radiation. Heat loss to the ground has been calculated by using three different equations. It was found that the perimeter of the pond has a significant effect on heat loss to the ground from a small pond, while its effect is small in the case of large pond. The validity of the model is tested against experimental data for several established ponds; good agreement is observed. Nomenclature 32 33 Area of the bottom surface of the pond (m) Surface area of the LCZ (m 2) Au Surface area of the UCZ (m 2) Constant (0.36), equation 4 Constant (0.08), equation CCSGSP Closed cycle salt gradient solar pond Humid heat capacity of (kJ/kg K) Thickness of the UCZ (m). Distance of water table from pond's bottom (m) Thickness of water layer (m) Greek letters Emissivity of water Density of the LCZ Density of the UCZ (kg/m 3) Monthly average wind speed in the region of study (m/s) Latent heat of vaporisation (kJ/kg) ℎ Relative humidity Stefen-Boltzmann's constant (5.673x10 −8 W/m 2 K 4)