Comprehensive Review of Line-Focus Concentrating Solar Thermal Technologies: Parabolic Trough Collector (PTC) vs Linear Fresnel Reflector (LFR)

2020 ◽  
Vol 29 (5) ◽  
pp. 1097-1124 ◽  
Author(s):  
Jie Sun ◽  
Zhi Zhang ◽  
Li Wang ◽  
Zhenwen Zhang ◽  
Jinjia Wei
2018 ◽  
Vol 4 (10) ◽  
pp. 6
Author(s):  
Kripa Shankar Pathak, ◽  
Ravindra Mohan

Solar energy is one among the freely available clean forms of renewable energy. Many technologies have been developed in India for extracting energy from assorted renewable energies, but the maximum extraction of thermal energy from solar energy is the most promising challenge. This paper focuses on the performance and efficiency of solar parabolic trough collector. In this paper, the design stages of a solar parabolic trough collector are presented. The sunlight collected is split by a cold mirror into visible light and inferred rays. The visible light and IR are used for day lighting and heating generation respectively. The receiver absorbs the incoming radiations and transforms them into thermal energy. Improving the performance of solar collectors has been recently a subject of intense research because of its advantages such as a decrease in the size and cost of systems and an increase in the thermal performance.


2011 ◽  
Vol 6 ◽  
pp. 565-572 ◽  
Author(s):  
Najla El Gharbi ◽  
Halima Derbal ◽  
Sofiane Bouaichaoui ◽  
Noureddine Said

2021 ◽  
pp. 218-218
Author(s):  
Anbuchezhian Nattappan ◽  
Suganya Priyadharshini Ganesan ◽  
Velmurugan Thiagarajan ◽  
Krishnamoorthy Ranganathan

This paper presents enhanced design for Automation control of processes involved in a solar system which utilizes programmable logic controller to automate tracking system for obtaining maximum solar radiation. Three areas are involved in this proposed multi area system where first and second area considers solar power plant with thermal system based parabolic trough collector with fixed solar isolation and random isolation of solar energy whereas third area comprises of solar thermal system with dish Stirling realistic unit. Energy efficiency can be increased by using solar concentrator along with Stirling engine. Optimization of gain of the controller is by utilizing crow search novel algorithm. Crow search algorithm is an optimization technique, which provides better performance at complex time varying noisy condition and time in-varying noisy condition. The Proposed controller is evaluated by obtaining the optimized parameters of the system whose comparison is done by operating proposed controller with & without renewable sources of energy thereby revealing better performance for both conditions. Testing is done in different areas with fixed solar isolation and random stisolation of solar energy involved in solar thermal power plant based on parabolic trough collector. Gain and parameters of the controller of the solar power plant are optimized by utilizing automation for operation of solar concentrator with parabolic Trough collector. Data acquisition and monitoring is done by human machine interface (HMI) in order to report safe operation. The Simulation results of integrated solar thermal system involving dish Stirling with parabolic trough collector, shows that dynamic response of the proposed controller operating with renewable solar energy is better than that of non-renewable energy source.


2021 ◽  
Vol 10 (4) ◽  
pp. 875-889
Author(s):  
Ashutosh Shirole ◽  
Mahesh Wagh ◽  
Vivek Kulkarni

The objective of this paper is to investigate the theoretical performance of Parabolic Trough Collector (PTC) using various nanofluids. The theoretical performances are calculated for Al2O3, graphite, magnetite, SWCNH, CuO, SiO2, MWCNT, TiO2, Fe2O3, and ZnO in water nanofluids. The heat transfer equations, thermodynamic properties of nanofluid and pumping power are utilised for the development of novel thermal model.  The theoretical thermal efficiency of the PTC is calculated, and the economic viability of the technology is predicted for a range of nanofluid concentration. The results showed that the thermal conductivity increases with the concentration of nanoparticles in the base fluid. Magnetite nanofluid showed the highest thermal efficiency, followed by CuO, MWCNT, ZnO, SWCNH, TiO2, Fe2O3, Al2O3, graphite, and SiO2, respectively. The study reveals that MWCNT at 0.4% concentration is the best-suited nanofluid considering thermal gain and pumping power. Most of the nanofluids achieved optimum efficiency at 0.4% concentration. The influence of mass flow rate on thermal efficiency is evaluated. When the mass flow rate increased from 70 Kg/hr to 90Kg/hr, a 10%-20% efficiency increase is observed. Dispersing nanofluids reduces the levelized cost of energy of large-scale power plants. These findings add to the knowledge of the scientific community aimed explicitly at solar thermal energy technology. The report can also be used as a base to pursue solar thermal projects on an economic basis.


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