Transient heat extraction modeling method for a rectangular type salt gradient solar pond

2017 ◽  
Vol 132 ◽  
pp. 316-326 ◽  
Author(s):  
Mohamad Aramesh ◽  
Fathollah Pourfayaz ◽  
Alibakhsh Kasaeian
Keyword(s):  
Modeling Method ◽  
Heat Extraction ◽  
Solar Pond ◽  
Salt Gradient

Temperature evolution of an experimental salt-gradient solar pond

2010 ◽  
Vol 1 (4) ◽  
pp. 246-250 ◽  
Author(s):  
F. Suárez ◽  
A. E. Childress ◽  
S. W. Tyler
Keyword(s):  
High Resolution ◽  
Large Scale ◽  
Thermal Evolution ◽  
Low Cost ◽  
Heat Extraction ◽  
Low Grade ◽  
Distributed Temperature Sensing ◽  
Solar Pond ◽  
Thermal Desalination ◽  
Salt Gradient

A salt-gradient solar pond is a low-cost, large-scale solar collector with integrated storage that can be used as a source of energy in low-grade-heat thermal desalination systems. This work presents the thermal evolution of an experimental solar pond for both the maturation and heat extraction time periods. The temperature profile was measured every 1.1 cm using a vertical high-resolution distributed temperature sensing (DTS) system, with a temperature resolution of 0.04ºC. Temperatures of 34 and 45ºC were achieved in the bottom of the pond when the lights were on for 12 and 24 hours per day, respectively. Heat was extracted at a rate of 139 W from the solar pond, which corresponded to an efficiency of 29%. Stratification and mixing were clearly observed inside the solar pond using the vertical high-resolution DTS system.

scholarly journals Heat extraction from the ANL research salt gradient solar pond

1986 ◽  
Author(s):  
J. Hull ◽  
A. Scranton ◽  
J. Mehta ◽  
S. Cho ◽  
K. Kasza
Keyword(s):  
Heat Extraction ◽  
Solar Pond ◽  
Salt Gradient

scholarly journals Effect of heat extraction on the thermal efficiency of salt gradient solar pond

2018 ◽  
Vol 37 (5) ◽  
pp. 1502-1515
Author(s):  
Qi Wu ◽  
Hua Wang ◽  
Shukuan Xie ◽  
Liugang Zhang ◽  
Jie Wang ◽  
...  
Keyword(s):  
Thermal Efficiency ◽  
Heat Extraction ◽  
Solar Pond ◽  
Salt Gradient

Heat Extraction from Salt‐Gradient Solar Pond

1983 ◽  
Vol 109 (3) ◽  
pp. 152-164 ◽  
Author(s):  
Koichi Kinose
Keyword(s):  
Heat Extraction ◽  
Solar Pond ◽  
Salt Gradient

scholarly journals Assessment of a vertical high-resolution distributed-temperature-sensing system in a shallow thermohaline environment

2011 ◽  
Vol 15 (3) ◽  
pp. 1081-1093 ◽  
Author(s):  
F. Suárez ◽  
J. E. Aravena ◽  
M. B. Hausner ◽  
A. E. Childress ◽  
S. W. Tyler
Keyword(s):  
High Resolution ◽  
Temperature Sensing ◽  
Distributed Temperature Sensing ◽  
Temperature Resolution ◽  
Spatial And Temporal Scales ◽  
Solar Pond ◽  
Salt Gradient ◽  
Time Averages ◽  
Corrosive Environments ◽  
And Storage

Abstract. In shallow thermohaline-driven lakes it is important to measure temperature on fine spatial and temporal scales to detect stratification or different hydrodynamic regimes. Raman spectra distributed temperature sensing (DTS) is an approach available to provide high spatial and temporal temperature resolution. A vertical high-resolution DTS system was constructed to overcome the problems of typical methods used in the past, i.e., without disturbing the water column, and with resistance to corrosive environments. This paper describes a method to quantitatively assess accuracy, precision and other limitations of DTS systems to fully utilize the capacity of this technology, with a focus on vertical high-resolution to measure temperatures in shallow thermohaline environments. It also presents a new method to manually calibrate temperatures along the optical fiber achieving significant improved resolution. The vertical high-resolution DTS system is used to monitor the thermal behavior of a salt-gradient solar pond, which is an engineered shallow thermohaline system that allows collection and storage of solar energy for a long period of time. The vertical high-resolution DTS system monitors the temperature profile each 1.1 cm vertically and in time averages as small as 10 s. Temperature resolution as low as 0.035 °C is obtained when the data are collected at 5-min intervals.

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