Maksimiranje osobina solarnog sistema za potrošnju tople vode optimalnim položajem prijemnika sunčeve energije
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Apstrakt
U Srbiji se najčešće električna energija koristi za zagrevanje sanitarne vode (SV). Kako je oko 70% električne energije dobija korišćenjem uglja koji oslobađa veliki broj gasova sa efektom staklene bašte, korišćenje solarne energije za zagrevanje sanitarne vode u solarnim sistemima za zagrevanje sanitarne vode (STV) ima povoljan uticaj na očuvanje životne sredine. Tokom rad solarni sistem za grejanje sanitarne tople vode generiše različite količine toplote iz solarne energije, dobijaju se različite količine izbegnute elekrične energije, izbegnute eksergije i izbegnute fosilne energije. U istraživanjma je primenjen softver EnergyPlus. Korišćeni vremenski podaci su iz ovlašćenih meteoroloških stanica. Hooke-Javes algoritam se koristi za dobijanje maksimalnih vrednosti performansi za različite STV u funkciji broja optimalnih položaja solarnog prijemnika u toku godine za grad Beograd, Srbija. Takođe, izračunato je i smanjenje solarne frakcije, kao i deficit izbegnute eksegije u slučaju kada solarni prijemnici nisu na svom optimalnom položaju.
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Reference
[2] Duffie, A., Beckman, A., Solar engineering of thermal processes. New York: Wiley, 1991.
[3] Mohammadi, K., Khorasanizadeh, H.,A review of solar radiation on vertically mounted solar surfaces and proper azimuth angles in six Iranian major cities, Renewable and Sustainable Energy Reviews, Vol. 47, 2015, pp. 504-518.
[4] D.B. Crawley, L.K. Lawrie, F.C. Winkelmann, W.F. Buhl, Y.J. Huang, C.O. Pedersen, R.K. Strand, R.J. Liesen, D.E. Fisher, M.J.Witte, J. Glazer, EnergyPlus: creating a new-generation building energy simulation program, Energy and Buildings 33 (4) (2001) 319 – 331.
[5] Anonymous, ENERGYPLUS, Input Output Reference - The Encyclopedic Reference to EnergyPlus Input and Output, University of Illinois & Ernest Orlando Lawrence Berkeley National Laboratory, 2009.
[6] R.H. Henninger, M.J. Witte, D.B. Crawley, Analytical and comparative testing of EnergyPlus using IEA HVAC BESTEST E100-E200 test suite, Energy and Buildings 36 (8) (2004) 855 – 863.
[7] The board of trustees of the University Of Illinois and the regents of the University Of California through the Ernest Orlando Lawrence Berkeley, National Laboratory, ENERGYPLUS, EnergyPlus Engineering Document, The Reference to EnergyPlus Calculations (incaseyouwantorneedtoknow), March 29, 2004.
[8] Wetter, M., 2004. GenOpt, Generic Optimization Program. User Manual, Lawrence Berkeley National Laboratory, Technical Report LBNL- 54199, p. 109.
[9] M. Wetter, Simulation-Based Building Energy Optimization, Phd. Degree dissertation , University of California, Berkeley, 2004.
[10] C. Audet, J.E. Dennis Jr., Analysis of generalized pattern searches, SIAM Journal on Optimization 13 (3) (2003) 889 – 903.
[11] M. Wetter, E. Polak, Building design optimization using a convergent pattern search algorithm with adaptive precision simulations, Energy and Buildings, 37, 2005, 603 – 612.
[12] R. Hooke, T.A. Jeeves, Direct search solution of numerical and statistical problems, Journal of the Association for Computing Machinery 8 (1961) 212 – 229.
[13] Skerlić, J., Radulović, J.,Nikolić, D.,Bojić, M.,Maximizing performances of variable tilt flat-plate solar collectors for Belgrade (Serbia), J. Renewable Sustainable Energy Vol. 5, No.4, 2013, doi: 10.1063/1.4819254.
[14] Farahat, S.,Sarhaddi, F.,Ajam, H., Exergetic optimization of flat plate solar collectors, Renewable Energy Vol. 34, 2009, pp. 1169-1174.