Potential assessment of a parabolic trough solar thermal power plant considering hourly analysis: ANN-based approach

Renewable Energy

Volumn 105, Issue , 2017, Pages 324-333

  Boukelia, T E ^a   Arslan, O ^b   Mecibah, M S ^a  

^a Universite Mentouri Constantine   (Algeria)

^b DUMLUPINAR UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Levelized cost of electricity; Molten salt; Parabolic trough solar thermal power plant; Thermic oil

Indexed keywords

ELECTRIC ENERGY STORAGE; FUEL STORAGE; FUSED SALTS; HEAT STORAGE; NEURAL NETWORKS; SOLAR CONCENTRATORS; THERMAL ENERGY; THERMOELECTRIC POWER PLANTS;

ARTIFICIAL NEURAL NETWORK MODELS; CAPACITY FACTORS; LEVELIZED COST OF ELECTRICITIES; MOLTEN SALT; PARABOLIC-TROUGH SOLAR THERMAL POWER PLANTS; TECHNO-ECONOMICS; THERMAL ENERGY SYSTEMS; THERMIC OIL;

SOLAR HEATING;

ARTIFICIAL NEURAL NETWORK; COST ANALYSIS; ELECTRICITY; ENERGY BUDGET; HEAT TRANSFER; PERFORMANCE ASSESSMENT; POWER GENERATION; POWER PLANT; SALT; SOLAR POWER; THERMAL POWER;

EID: 85007452353     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.12.081     Document Type: Article

References (27)

1. [1] Maze, D.G., Miller, S.A., Transient modelling of solar trough power stations. Chemeca 2010 Conference, September 2010, Australia, Adelaide, 26–29.
2. [2] Boukelia, T.E., Mecibah, M.S., Kumar, B.N., Reddy, K.S., Investigation of solar parabolic trough power plants with and without integrated TES (thermal energy storage) and FBS (fuel backup system) using thermic oil and solar salt. Energy 88 (2015), 292–303.
3. [3] De Luca, F., Ferraro, V., Marinelli, V., On the performance of CSP oil-cooled plants, with and without heat storage in tanks of molten salts. Energy 83 (2015), 230–239.
4. [4] Poghosyan, V., Hassan, M.I., Techno-economic assessment of substituting natural gas based heater with thermal energy storage system in parabolic trough concentrated solar power plant. Renew. Energy 75 (2015), 152–164.
5. [5] Montes, M.J., Abànades, A., Martȋnez-Val, J.M., Performance of a direct steam generation solar thermal power plant for electricity production as a function of the solar multiple. Sol. Energy 83:5 (2009), 679–689.
6. [6] Feldhoff, J.F., et al. Comparative system analysis of direct steam generation and synthetic oil parabolic trough power plants with integrated thermal storage. Sol. Energy 86:1 (2012), 520–530.
7. [7] Giostri, A., et al. Comparison of different solar plants based on parabolic trough technology. Sol. Energy 86:5 (2012), 1208–1221.
8. [8] Ruegamer, T., et al. Molten salt for parabolic trough applications: system simulation and scale effects. Energy Proc. 49 (2014), 1523–1532.
9. [9] Martín, L., Martín, M., Optimal year-round operation of a concentrated solar energy plant in the south of Europe. Appl. Therm. Eng. 59:1 (2013), 627–633.
10. [10] Avila-Marin, A.L., Fernandez-Reche, J., Tellez, F.M., Evaluation of the potential of central receiver solar power plants: configuration, optimization and trends. Appl. Energy 112 (2013), 274–288.
11. [11] Spelling, J., Favrat, D., Martin, A., Augsburger, G., Thermoeconomic optimization of a combined-cycle solar tower power plant. Energy 41:1 (2012), 113–120.
12. [12] Desai, N.B., Bandyopadhyay, S., Optimization of concentrating solar thermal power plant based on parabolic trough collector. J. Clean. Prod. 89 (2015), 262–271.
13. [13] Cabello, J.M., Cejudo, J.M., Luque, M., Ruiz, F., Deb, K., Tewari, R., Optimization of the size of a solar thermal electricity plant by means of genetic algorithms. Renew. Energy 36:11 (2011), 3146–3153.
14. [14] Kalogirou, S.A., Optimization of solar systems using artificial neural-networks and genetic algorithms. Appl. Energy 77 (2004), 383–405.
15. [15] Arslan, O., Yetik, O., ANN based optimization of supercritical ORC-Binary geothermal power plant: Simav case study. Appl. Therm. Eng. 31:17 (2011), 3922–3928.
16. [16] Arslan, O., Power generation from medium temperature geothermal resources: ANN based optimization of Kalina cycle system-34. Energy 36:5 (2011), 2528–2534.
17. [17] Wagner, M.J., Gilman, P., Technical Manual for the SAM Physical Trough Model. https://sam.nrel.gov (Accessed 17 June 2015).
18. [18] Price, H., A parabolic trough solar power plant simulation model. International Solar Energy Conference. Hawaii, USA, March 2003, 15–18.
19. [19] Kelly, B., Kearney, D., Parabolic Trough Solar System Piping Model. Golden, CO, Technical Report No. NREL/SR-550–40165., 2006 https://sam.nrel.gov (Accessed 17 June 2015).
20. [20] Boukelia, T.E., Mecibah, M.S., Estimation of direct solar irradiance intercepted by a solar concentrator in different modes of tracking (case study: Algeria). Int. J. Amb. Energy, 2013, 10.1080/01430750.2013.864587.
21. [21] Blair, et al. System advisor model, SAM 2014.1. 14: general description. NREL Report No. TP-6A20-61019, 2014, National Renewable Energy Laboratory, Golden, CO https://sam.nrel.gov (Accessed 17 June 2015).
22. [22] EBSILON Professional, Evonik Energy Services GmbH. 2011.
23. [23] Dersch, J., et al. Trough integration into power plants—a study on the performance and economy of integrated solar combined cycle systems. Energy 29:5 (2004), 947–959.
24. [24] Montes, M.J., Abánades, A., Martinez-Val, J.M., Valdés, M., Solar multiple optimization for a solar-only thermal power plant, using oil as heat transfer fluid in the parabolic trough collectors. Sol. Energy 83:12 (2009), 2165–2176.
25. [25] NREL, System Advisor Model (SAM) Case Study: Andasol-1. sam.nrel.gov/sites/sam.nrel.gov/files/content/case_studies/sam_case_csp_physical_trough_andasol-1_2013-1-15.pdf (Accessed 17 June 2015).
26. [26] Reddy, K.S., Kumar, K.R., Solar collector field design and viability analysis of stand-alone parabolic trough power plants for Indian conditions. Energ Sustain Dev. 16:4 (2012), 456–470.
27. [27] Kearney, D., et al. Assessment of a molten salt heat transfer fluid in a parabolic trough solar field. J. Sol. Energy Eng. 125 (2003), 170–176.