Application of Response Surface Methodology to Predict the Optimized Input Quantities of Parabolic Trough Concentrator


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- Alireza, A. (2016). Optimization of solar and wind energy systems: A survey. International Journal of Ambient Energy, doi: 10.1080/01430750.2016.1155493
- Amin, R., &Mehran, A. (2020). A comparative study of different optimized mirrors layouts of linear fresnel concentrators on annual energy and exergy efficiencies. International Journal of Ambient Energy, doi: 10.1080/01430750.2020.1758780
- Anissa, G., Hatem, M., &Philippe, B. (2015). Numerical study and optimization of parabolic trough solar collector receiver tube. Journal of Solar Energy Engineering-ASME, 137, A051003-1; doi: 10.1115/1.4030849
- ASHRAE Standard 93-2010, ASHRAE (2010), Atlanta (GA)
- Bruno, D., Antonio, J., &Joao F. (2014). Optimization of a seasonal storage solar system using Genetic Algorithms. Solar Energy, 101, 160-166; doi: 10.1016/j.solener.2013.12.031
- Cabello, JM., Cejudo, JM., Luque, M., Ruiz, F., Deb, K., &Tewari, R. (2011). Optimization of the size of a solar thermal electricity plant by means of genetic algorithms. Renewable Energy, 36 (11), 3146-3153; doi: 10.1016/j.renene.2011.03.018
- Cheng, ZD., He, YL., Cui, FQ., Du, BC., Zheng, ZJ., &Xu, Y. (2014). Comparative and sensitive analysis for parabolic trough solar collectors with a detailed Monte Carlo ray tracing optical model. Applied Energy, 115, 559-572; doi: 10.1016/j.apenergy.2013.11.001
- Cheng, ZD., He, YL., Xiao, J., Tao, YB., & Xu, J. (2010). Three dimensional numerical study of heat transfer characteristics in the receiver tube of parabolic trough solar collector. International Communications in Heat Transfer, 37, 782-787; doi: 10.1016/j.icheatmasstransfer.2010.05.002
- Dudley, VE., Kolb, GL., Mahoney, AR., Mancini, TR., Matthews, CW., Sloan, M., &Kearney, D. (1994). Test results: SEGS LS-2 Solar collector, Sandia National Laboratories, Albuquerque, USA, 139; 10.2172/70756
- Farshad, SA., &Sheikholeslami, M. (2019). Simulation of nanoparticles second law treatment inside a solar collector considering turbulent flow. Physica A:Statistical Mechanics and its Applications, 525, 1-12; doi: 10.1016/j.physa.2019.03.089
- Hatami, M., & Jing, D. (2017). Optimization of wavy direct absorber solar collector (WDASC) using Al2O3-water nanofluid and RSM analysis. Applied Thermal Engineering, 121, 1040-1050. doi: 10.1016/j.applthermaleng.2017.04.137
- Jiangfeng, G., &Xiulan, H., (2016). Multi-parameter optimization design of parabolic trough solar receiver. Applied Energy, 98, 73-79; doi: 10.1016/j.applthermaleng.2015.12.041
- Kline, S., &Mcclintock, F. (1953). Describing uncertainties in single-sample experiments. Mechanical Engineering, 75(1), 3-8
- Majedul, I., Azharul, K., Suvash., Saha., Sarah, M., Prasad, KD., &Yarlagadda, V. (2012). Three dimensional simulation of a parabolic trough concentrator thermal collector.In Proceeding of 50th Annual Conference-Australian Solar Energy Society, Melbourne, 1-12
- Moffat, RJ. (1988). Describing the uncertainties in experimental results. Experimental Thermal and Fluid science, 1(1), 3-17; doi: 10.1016/0894-1777(88)90043-X
- Mohamed, A. (2014). Two dimension numerical modelling of receiver tube performance for concentrated solar power plant. Energy Procedia, 57, 551-560; doi: 10.1016/j.egypro.2014.10.209
- Mohsen, M., &Mostafa, ZM. (2018). Neural network modeling for accurate prediction of thermal efficiency of a flat plate solar collector working with nanofluids. International Journal of Ambient Energy, doi: 10.1080/01430750.2018.1525576
- Moradikazerouni, A., Hajizadeh, A., Safaei, MR., Afrand, M., Yarmand, H., &Zulkifli, NWBM. (2019). Assessment of thermal conductivity enhancement of nano-antifreeze containing single-walled carbon nanotubes: Optimal artificial neural network and curve-fitting. Physica A: Statistical Mechanics and its Applications, 521, 138-145; doi: 10.1016/j.physa.2019.01.051
- Petela, R. (2004). Exergy of undiluted thermal radiation, Solar Energy 74, 469-488; doi: 10.1016/S0038-092X(03)00226-3
- Rahmati, A., &Niazi, S. (2015). Application and comparison of different lattice Boltzmann methods on non-uniform meshes for simulation of micro cavity and micro channel flow. Journal of Computational Methods in Engineering, 34(1), 97-118
- Reza, A., Ehsanolah, A., Rahim, M., Martin, O., Mojtaba, N., & Farzad, P. (2019). Optimization of combined cooling, heating and power (CCHP) systems incorporating the solar and geothermal energy: a review study. International Journal of Ambient Energy, doi: 10.1080/01430750.2019.1630299
- Risi., MM., &Laforgia, D. (2013). Modelling and optimization of transparent parabolic trough collector based on gas-phase nanofluids. Renewable Energy, 58, 134-139; doi: 10.1016/j.physa.2019.122146
- Saman, R., Masoud, B., Nader, R., &Javad AE. (2017). Steps optimization and productivity enhancement in a nanofluid cascade solar still. Renewable Energy, 118, 536-545; doi: 10.1016/j.renene.2017.11.048
- Sami, S. (2018). Impact of magnetic field on the enhancement of performance of thermal solar collectors using nanofluids. International Journal of Ambient Energy, doi: 10.1080/01430750.2018.1437561
- Sarafraz, MM., Tlili, I., Zhe, T., Mohsen, B., & Mohammad, RS. (2019). Smart optimization of a thermosyphon heat pipe for an evacuated tube solar collector using response surface methodology (RSM). Physica A : Statistical Mechanics and its Applications, 534, 122-146; doi: 10.1016/j.physa.2019.122146
- Senthil, R. (2019). Thermal performance of aluminum oxide based nanofluids in flat plate solar collector. International Journal of Engineering and Advanced Technology, 8(3), 445-448
- Senthil, R., &Cheralathan, M. (2016). Enhancement of heat absorption rate of direct absorption solar collector using graphite nanofluid, International Journal of Chemtech Research, 9(9), 303-308
- Senthil, R., & Cheralathan, M. (2019). Enhancement of the thermal energy storage capacity of a parabolic dish concentrated solar receiver using phase change materials. Journal of Energy Storage, 25(100841); doi: 10.1016/j.est.2019.100841
- Shrikant, C., &Guniram, R. (2018). Thermodynamic investigation of nano-phase change materials as heat transfer fluid- heat exchanger for thermal-energy storage in concentrating solar thermo-electric generation systems. Journal of Ambient Energy, doi: 10.1080/01430750.2018.1517691
- Tahereh, BG., & Ranjbar, AA. (2015). Geometric optimization of a nanofluid-based direct absorption solar collector using response surface methodology. Solar Energy, 122, 314-325; doi: 10.1016/j.solener.2015.09.007
- Tahereh, BG., &Ranjbar, AA. (2017). Thermal and exergy optimization of a nanofluid-based direct absorption solar collector. Renewable Energy,106, 274-287; doi: 10.1016/j.renene.2017.01.031
- Venkata Rao, R., &Hameer Singh, Keesari. (2019). Solar assisted heat engine systems: multi objective optimization and decision making. International Journal of Ambient Energy, doi: 10.1080/01430750.2019.1636870
- Vijayan, G., &Karunakaran, R. (2019). Performance evaluation of nanofluid on parabolic trough solar collector. Thermal Science, 24(2A), 853-864; doi: 10.2298/TSCI180509059G
- Vijayan, G., Karunakaran, R., Logesh, K., Sivasaravanan, S., &Metin, Kok. (2019). Influence of dimensionless parameter on deionized water-alumina nanofluid based parabolic trough solar collector. Recent Patents on Nanotechnology, 13(3), 206-221; doi: 10.2174/1872210513666190410123503
- Ze-Dong, C., Ya-Ling, H., Bao-Cun, D., Kun, W., &Qi, L. (2015). Geometric optimization on optical performance of parabolic trough solar collector systems using particle swarm optimization algorithm. Applied Energy, 148, 282-293; doi: 10.1016/j.apenergy.2015.03.079
Last update: 2021-04-21 11:05:09
Last update: 2021-04-21 11:05:10

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