CREATION MATHEMATICAL MODEL OF A FILM SOLAR COLLECTOR USING EVOLUTIONARY SEARCH (11-17)

Архив в PDF формате
Дата публикации статьи в журнале: 2019/12/09
Название журнала: Восточно Европейский Научный Журнал, Выпуск: 51, Том: 4, Страницы в выпуске: 11-17
Автор: Chirin D.A.
, Prydniprovska State Academy of Civil Engineering and Architecture ,
Автор: Irodov V.F.
, Prydniprovska State Academy of Civil Engineering and Architecture , doctor of engineering
Анотация: The construction of a mathematical model of a film solar collector based on an evolutionary search algorithm is considered. The aim of the work is to build a mathematical model based on a limited set of experimental data from a range of permissible parameters. The dimensionless complexes characterizing the work of the collector are used. The total array of experimental data is divided into two arrays - a training sequence and a test sequence. As a criterion for the adequacy of the model, the criterion of the minimum deviation of the simulation values from the experimental data was used. The model was built on the points of the training sequence and tested on the test. As an example, a numerical solution to the problem of optimizing the work of the collector is shown under restrictions on permissible parameters. To solve the problem of constructing a model and the optimization problem, an evolutionary search algorithm was used.
Ключевые слова: solar collector   heating systems   hot water systems   experimental studies   evolutionary algorithms   dimensionless appearance   math search   math search  
Данные для цитирования: Chirin D.A., Irodov V.F. , . CREATION MATHEMATICAL MODEL OF A FILM SOLAR COLLECTOR USING EVOLUTIONARY SEARCH (11-17). Восточно Европейский Научный Журнал. Технические науки. 2019/12/09; 51(4):11-17.

Список литературы: 1. Chirin D.A., Irodov V.F., Chernoivan A.A. Experimentalnyi doslidgenya sonyachnogo kolektora plivkovogo tipu [Experimental research of a film type solar collector]. // Vcheni zapiski Tavriyskogo nacionalnogo universitetu im. Vernadskogo – Kiev, 2019. №5 . – P. 194-197. 2. Stratan F.I., Irodov V.F. Evolyutsionnye algoritmy poiska optimalnykh resheniy [Evolutionary algorithms for finding optimal solutions]. Kishinev, 1984. – P.16-30. 3. Irodov V.F. O postroenii i shodimosti evolyutsionih algoritmov samoorganizacii sluchaynogo poiska [About the construction and convergence of evolutionary algorithms of selforganization and random search]. // Avtomatika. – Kiev, 1987. - №4. – P.34-43. 4. Irodov V. Self-organization methods for analysis of non-linear systems with binary choice relations // Journal Systems Analysis Modelling Simulation. Gordon and Breach Science Publishers, Inc. Newark, NJ, USA. Vol. 18-19, 1995. – 203 – 206 pp. 5. Irodov V.F., Chirin D.A., Dudkin K.V., Chornoivan A.A. Pat. Sonyachniy kolektor z teploobminom u plivci ridini: pat.133072 Ukrayina (UA): MPK F24S 10/00 [Solar collector with heat transfer in a liquid film: pat. 133072 Ukraine (UA): IPC F24S 10/00]. 2018. 6. Emmerich M., Deutz A. Multicriteria Optimization and Decision Making [Virtual Resource] LIACS Master Course. -2006. – 84 p. – Access Mode : URL: http://natcomp.liacs.nl/MOB/material/mco4.pdf.-Title from Screen. – Date of Access : 28 September 2015. 7. Ivanov S.Y., Ray A.K. Multiobjective optimization of industrial petroleum processing units using Genetic algorithms. XV International Scientific Conference “Chemistry and Chemical Engineering in XXI century” dedicated to Professor L.P. Kulyov / University of Western Ontario, Department of Chemical and Biochemical Engineering – Canada, 2014. – 7-14 p. 8. Zitzler E. Thiele L. An evolutionary algorithm for multiobjective optimization the strength Pareto approach. – Zurich : TIK – Report, 1998. – 43p. 9. Bukatova I.L. Evoltsionnoe modelirovanie i ego prilogeniya [Evolutionary modeling and its applications] – M.: Science, 1979. – 232 p. 10. Ivahnenko A.G., Zaychenko U.P., Dimitrov V.D. Prinyatie resheniy na osnove samoorganizatsii [Self-decision making] – M.: Sov. radio, 1976. – 280 p. 11. Ivahnenko A.G. Systemi evristicheskoy samoorganizacii v tehnicheskoy kibernetike [ Heuristic self-organization systems in technical cybernetics ] – K.: Technics, 1971. – 392 p. 12. Kureychik V.M. Geneticheskie algoritmi i ih 13. Rudkovskaya D., Pilinskiy M., Rudkovskiy primenenie [Genetic algorithms and their application] L., Neyronie seti, geneticheskie algoritmi I nechetkie – Taganrog: TRTU, 2002, - 242 p. mnogistva [Neural networks, genetic algorithms and fuzzy systems] – M.: Hotline – Telecom, 2013. – 384 p.