A computational method for optimal design of the multi-tower heliostat field considering heliostats interactions

Energy

Volumn 106, Issue , 2016, Pages 240-252

  Piroozmand, Pasha ^a   Boroushaki, Mehrdad ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Heliostat field design; Instantaneous efficiency; Multi tower field; PSO (particle swarm optimization); Shading and blocking efficiency

Indexed keywords

DECISION MAKING; OPTIMAL SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); SEPARATION;

ENERGY PERFORMANCE; FIELD PERFORMANCE; GROUP DECISION MAKING; HELIOSTAT FIELD; INSTANTANEOUS EFFICIENCIES; OPTICAL PERFORMANCE; PSO(PARTICLE SWARM OPTIMIZATION); TOWER FIELDS;

TOWERS;

DESIGN METHOD; ENERGY EFFICIENCY; EQUIPMENT; NUMERICAL METHOD; OPTIMIZATION; PERFORMANCE ASSESSMENT;

EID: 84962103789     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.03.049     Document Type: Article

References (27)

1. Koberle A.C., Gernaat David E.H.J., Van Vuuren D.P. Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation. Energy 2015, 89:739-756.
2. Concentrating solar power technology: principles, developments and applications 2012, Woodhead Publishing, Cambridge. K. Lovegrove, W. Stein (Eds.).
3. Behar O., Khellaf A., Mohammedi K. A review of studies on central receiver solar thermal power plants. Renew Energy 2013, 23:12-39.
4. Garcia P., Ferriere A., Bezian J.-J. Codes for solar flux calculation dedicated to central receiver system applications: a comparative review. Sol Energy 2008, 82:189-197.
5. Schwarzbözl P., Schmitz M., Pitz-paal R. Visual HFLCAL e a software tool for layout and optimization of heliostat fields 2009, SolarPACES, Berlin.
6. Leary P.L., Hankins J.D. Users guide for MIRVAL: a computer code for comparing designs of heliostat-receiver optics for central receiver solar power plants 1979, Sandia Report, SAND-77-8280. http://www.osti.gov/scitech/biblio/6371450.
7. Kistler B.L. A user's manual for DELSOL3: a computer code for calculating the optical performance and optimal system design for solar thermal central receiver plants 1986, Sandia Report, SAND-86-8018. http://prod.sandia.gov/techlib/accesscontrol.cgi/1986/868018.pdf.
8. Collado F.J., Guallar J. Campo: generation of regular heliostat fields. Renew Energy 2012, 46:49-59.
9. Besarati S.M., Goswami D., Yogi A computationally efficient method for the design of the heliostat field for solar power tower plant. Renew Energy 2014, 69:226-232.
10. Noone C.J., Manuel T., Mitsos A. Heliostat field optimization: a new computationally efficient model and biomimetic layout. Sol Energy 2012, 86:792-803.
11. Danielli A., Yatir Y., Oded Mor Improving the optical efficiency of a concentrated solar power field using a concatenated micro-tower configuration. Sol Energy 2011, 85:931-937.
12. Schramek P., Mills D.R. Multi-tower solar array. Sol Energy 2003, 75:249-260.
13. Augsburger G., Favrat D. From single- to multi-tower solar thermal power plants: investigation of the thermo-economic optimum transition size. Sol. Paces Conf., 11-14 September 2012, Morocco 2012.
14. Douglas W. Caldwell, investor, Caldwell Douglas W, assignee. Multi-receiver heliostat system architecture. US Patent 20,090,038,608. 2009 Feb 12.
15. Siala F., Elayeb M. Mathematical formulation of a graphical method for a no-blocking heliostat field layout. Renew Energy 2001, 23(1):77-92.
16. Burgaleta J.I., Arias S., Ramirez D. Gemasolar, the first tower thermo solar commercial plant with molten salt storage. Sol. PACES, 20-23 September 2011, Granada, Spain 2011.
17. Kalogirou S. Solar energy engineering - processes and systems 2009, Academic Press.
18. SoDa Time series of solar radiation data 2004, Available at:. http://www.soda-is.com.
19. Modeling solar radiation at the earth's surface: recent advances 2008, Springer. V. Badescu (Ed.).
20. >. http://www.climatemps.com.
21. Collado F.J., Guallar J. A review of optimized design layouts for solar power tower plants with campo code. Renew Sustain Energy Rev 2013, 20:142-154.
22. Sassi G. Some notes on shadow and blockage effects. Sol Energy 1983, 31:331-333.
23. Elayeb M.E., Haman R.A., Siala F.M.F. Calculation of the blocking factor in heliostat fields. Energy Procedia 2014, 57:291-300.
24. Cormen T.H., Leiserson C.E., Rivest R. Introduction to algorithms, chapter 17 "greedy algorithms" 1990, p 329. MIT Press.
25. Kennedy J., Eberhart R. Particle swarm optimization. Proceedings of IEEE Conference on Neural Networks 4; 1995 Nov/Dec; Perth, Australia 1995, 1942-1948.
26. Bansal J.C., Singh P.K., Saraswat M., Verma A., Jadon S.S., Abraham A. Inertia weight strategies in particle swarm optimization. Proceedings of Nature and Biologically Inspired Computing (NaBIC); 2011 Oct 19-21; Salamanca, Spain 2011, 633-640.
27. Li Hongqi, He Xu, Xie Xiaolong, li Li, Zhou Jinyu, Li Xiongyan A new boundary condition for particle swarm optimization. J Convergence Inf Technol 2010, 5:215-221.