Parabolic-trough solar thermal power plant simulation scheme, multi-objective genetic algorithm calibration and validation

Solar Energy

Volumn 86, Issue 1, 2012, Pages 531-540

  Bonilla, Javier ^a   Yebra, Luis José ^a   Dormido, Sebastián ^b   Zarza, Eduardo ^a  

^a PLATAFORMA SOLAR DE ALMERÍA CIEMAT   (Spain)

^b UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

Author keywords

Calibration and validation; Direct steam generation; Dynamic simulation; Multi objective genetic algorithm calibration; Parabolic trough solar thermal power plant

Indexed keywords

DIRECT STEAM GENERATION; DYNAMIC SIMULATORS; INITIAL VALUES; MODEL INPUTS; MULTI-OBJECTIVE GENETIC ALGORITHM; NUMERICAL INTEGRATIONS; OBJECT ORIENTED MODEL; SENSORS DATA; SIMULATION PROCESS; SOLAR THERMAL POWER PLANTS; VALIDATION PROCESS;

CALIBRATION; COMPUTER SIMULATION; GENETIC ALGORITHMS; MATLAB; SIMULATORS; SOLAR CONCENTRATORS; SOLAR HEATING; STEAM GENERATORS; THERMOELECTRIC POWER PLANTS;

STEAM POWER PLANTS;

CALIBRATION; DATA SET; GENETIC ALGORITHM; MULTIOBJECTIVE PROGRAMMING; NUMERICAL MODEL; SOFTWARE; SOLAR POWER; SOLAR RADIATION; THERMAL POWER;

EID: 84855195344     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2011.10.025     Document Type: Article

References (26)

1. Ajona J. Electricity Generation with Distributed Collector Systems. Solar Thermal Electricity. Generation. Lectures from the Summer School at the Plataforma Solar de Almería 1999, CIEMAT, Madrid.
2. Åkesson J., Årzén K.E., Gäfvert M., Bergdahl T., Tummescheit H. Modeling and optimization with optimica and JModelica.org - languages and tools for solving large-scale dynamic optimization problems. Computers and Chemical Engineering 2010, 34:1737-1749.
3. Beyer H., Deb K. On self-adaptive features in real-parameter evolutionary algorithms. IEEE Transactions on Evolutionary Computation 2001, 5:250-270.
4. Blanco-Muriel M., Alarcín-Padilla D.C., López-Moratalla T., Lara-Coira M. Computing the solar vector. Solar Energy 2001, 70:431-441.
5. Bonilla J., Yebra L.J., Dormido S. Mean densities in dynamic mathematical two-phase flow models. CMES - Computer Modeling in Engineering and Science 2010, 66:211-224.
6. Bonilla, J., Yebra, L.J., Dormido, S., 2011a. Chattering in dynamic mathematical two-phase flow models. Applied Mathematical Modelling (Corrected Proof).
7. Bonilla J., Yebra L.J., Dormido S. A heuristic method to minimise the chattering problem in dynamic mathematical two-phase flow models. Mathematical and Computer Modelling 2011, 54:1549-1560.
8. Chipperfield, A., Fleming, P., Pohlheim, H., Fonseca, C., 1994. Genetic Algorithm TOOLBOX For Use with MATLAB. Technical Report.
9. Deb K. Multi-Objective Optimization Using Evolutionary Algorithms, first ed. 2001, Wiley.
10. Dynasim, A., 2006. Dymola 6.0 User Manual. http://www.dynasim.se.
11. Eck M., Hirsch T. Dynamics and control of parabolic trough collector loops with direct steam generation. Solar Energy 2007, 81:268-279.
12. Eck M., Zarza E., Eickhoff M., Rheinlnder J., Valenzuela L. Applied research concerning the direct steam generation in parabolic troughs. Solar Energy 2003, 74:341-351.
13. Gnielinski V. New equations for heat and mass transfer in turbulent pipe flow and channel flow. International Chemical Engineering 1976, 2:359-368.
14. González, L., Zarza, E., Yebra, L., 2001. Determinación del Modificador por Angulo de Incidencia de un colector LS-3, incluyendo la pérdidas geométricas por final de colector. Technical Report DISS-SC-SF-30. Plataforma Solar de Almería. Almería, Spain.
15. Gungor K., Winterton R. General correlation for flow boiling in tubes and annuli. International Journal of Heat and Mass Transfer 1986, 29:351-358.
16. Harlow F.H., Welch E.J. Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface. Physics of Fluids 1965, 8:2182-2189.
17. Hongesombut, K., Mitani, Y., Tsuji, K., 2002. An incorporated use of genetic algorithm and a Modelica library for simultaneous tuning of power system stabilizers. in: Association, M. (Ed.), Modelica Conference 2002 Proceedings, Modelica Association and Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany, pp. 89-98.
18. Jensen, J.M., 2003. Dynamic Modeling of Thermo-Fluid Systems - With Focus on Evaporators for Refrigeration. Ph.D. Thesis. Department of Mechanical Engineering, Technical University of Denmark.
19. Kutshcer, C., Davenport, R., Dougherty, D., Gee, R., Masterson, P., Kenneth, E., 1982. Design Approaches for Solar Industrial Process-heat System. Tech. Rep. SERI/TR-253-1356. Solar Energy Research Institute, Golden, Colorado, USA.
20. Modelica Association, 2007. Modelica Specification 2.2.1.
21. Patankar S.V. Numerical Heat Transfer and Fluid Flow 1980, Hemisphere, Washington, DC.
22. The MathWorks, Inc., 2009. MATLAB Documentation. The MathWorks, Inc.
23. Yebra, L.J., 2006. Object-Oriented Modelling of Parabolic-Trough Collectors with Modelica. Ph.D. Thesis. Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain (in Spanish).
24. Yebra, L.J., Berenguel, M., Zarza, E., Dormido, S., 2006. Object-oriented modelling of DISS solar thermal power plant. In: Modelica Conference 2006, Vienna, Austria.
25. Zarza, E., 2000. The Direct Steam Generation with Parabolic Collectors. The DISS Project. Ph.D. Thesis. Escuela Superior de Ingenieros Industriales de Sevilla. Seville, Spain (in Spanish).
26. Zarza E., Valenzuela L., Len J., Hennecke K., Eck M., Weyers H.D., Eickhoff M. Direct steam generation in parabolic troughs: final results and conclusions of the DISS project. Energy 2004, 29:635-644. (SolarPACES 2002.).