메뉴 건너뛰기




Volumn 84, Issue , 2014, Pages 234-243

Optimal heliostat aiming strategy for uniform distribution of heat flux on the receiver of a solar power tower plant

Author keywords

Flux distribution; Genetic algorithm; Optimization; Solar power tower

Indexed keywords

HEAT FLUX; OPTIMIZATION; SOLAR ENERGY; TEMPERATURE DISTRIBUTION;

EID: 84899823494     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2014.04.030     Document Type: Article
Times cited : (123)

References (22)
  • 3
    • 84880331936 scopus 로고    scopus 로고
    • Control of the flux distribution on a solar tower receiver using an optimized aiming point strategy: Application to THEMIS solar tower
    • A. Salomé, F. Chhel, G. Flamant, A. Ferrière, and F. Thiery Control of the flux distribution on a solar tower receiver using an optimized aiming point strategy: application to THEMIS solar tower Sol Energy 2013
    • (2013) Sol Energy
    • Salomé, A.1    Chhel, F.2    Flamant, G.3    Ferrière, A.4    Thiery, F.5
  • 5
    • 0033177826 scopus 로고    scopus 로고
    • Heuristic knowledge-based heliostat field control for the optimization of the temperature distribution in a volumetric receiver
    • F.J. GarcÍa-MartÍn, M. Berenguel, A. Valverde, and E.F. Camacho Heuristic knowledge-based heliostat field control for the optimization of the temperature distribution in a volumetric receiver Sol Energy 66 1999 355 369
    • (1999) Sol Energy , vol.66 , pp. 355-369
    • García-Martín, F.J.1    Berenguel, M.2    Valverde, A.3    Camacho, E.F.4
  • 6
    • 0037411386 scopus 로고    scopus 로고
    • Genetic algorithms in computer aided design
    • G. Renner, and A. Ekárt Genetic algorithms in computer aided design Comput-Aided Des 35 2003 709 726
    • (2003) Comput-Aided des , vol.35 , pp. 709-726
    • Renner, G.1    Ekárt, A.2
  • 7
    • 84855818671 scopus 로고    scopus 로고
    • Stochastic techniques used for optimization in solar systems: A review
    • N. Sharma, Varun, and Siddhartha Stochastic techniques used for optimization in solar systems: a review Renew Sustain Energy Rev 16 2012 1399 1411
    • (2012) Renew Sustain Energy Rev , vol.16 , pp. 1399-1411
    • Sharma, N.1    Varun2    Siddhartha3
  • 8
    • 75149196285 scopus 로고    scopus 로고
    • Thermal performance optimization of a flat plate solar air heater using genetic algorithm
    • Varun, and Siddhartha Thermal performance optimization of a flat plate solar air heater using genetic algorithm Appl Energy 87 2010 1793 1799
    • (2010) Appl Energy , vol.87 , pp. 1793-1799
    • Varun1    Siddhartha2
  • 9
    • 0037141798 scopus 로고    scopus 로고
    • Application of the genetic algorithm for optimisation of large solar hot water systems
    • DOI 10.1016/S0038-092X(02)00020-8, PII S0038092X02000208
    • M. Loomans, and H. Visser Application of the genetic algorithm for optimization of large solar hot water systems Sol Energy 72 2002 427 439 (Pubitemid 34724920)
    • (2002) Solar Energy , vol.72 , Issue.5 , pp. 427-439
    • Loomans, M.1    Visser, H.2
  • 10
    • 84870402825 scopus 로고    scopus 로고
    • Design of a PCM storage system for a solar absorption chiller based on exergoeconomic analysis and genetic algorithm
    • A.A. Godarzi, M. Jalilian, J. Samimi, A. Jokar, and M.A. Vesaghi Design of a PCM storage system for a solar absorption chiller based on exergoeconomic analysis and genetic algorithm Int J Refrig 36 2013 88 101
    • (2013) Int J Refrig , vol.36 , pp. 88-101
    • Godarzi, A.A.1    Jalilian, M.2    Samimi, J.3    Jokar, A.4    Vesaghi, M.A.5
  • 11
    • 0346398332 scopus 로고    scopus 로고
    • Optimization of solar systems using artificial neural-networks and genetic algorithms
    • DOI 10.1016/S0306-2619(03)00153-3
    • S.A. Kalogirou Optimization of solar systems using artificial neural-networks and genetic algorithms Appl Energy 77 2004 383 405 (Pubitemid 38043311)
    • (2004) Applied Energy , vol.77 , Issue.4 , pp. 383-405
    • Kalogirou, S.A.1
  • 12
    • 79551561863 scopus 로고    scopus 로고
    • Exergoeconomic analysis and optimization of an Integrated Solar Combined Cycle System (ISCCS) using genetic algorithm
    • A. Baghernejad, and M. Yaghoubi Exergoeconomic analysis and optimization of an Integrated Solar Combined Cycle System (ISCCS) using genetic algorithm Energy Convers Manage 52 2011 2193 2203
    • (2011) Energy Convers Manage , vol.52 , pp. 2193-2203
    • Baghernejad, A.1    Yaghoubi, M.2
  • 13
    • 84880891152 scopus 로고    scopus 로고
    • Multi-objective thermodynamic-based optimization of output power of solar dish-Stirling engine by implementing an evolutionary algorithm
    • M.H. Ahmadi, A.H. Mohammadi, S. Dehghani, and M.A. Barranco- Jiménez Multi-objective thermodynamic-based optimization of output power of solar dish-Stirling engine by implementing an evolutionary algorithm Energy Convers Manage 75 2013 438 445
    • (2013) Energy Convers Manage , vol.75 , pp. 438-445
    • Ahmadi, M.H.1    Mohammadi, A.H.2    Dehghani, S.3    Barranco-Jiménez, M.A.4
  • 14
    • 79957857680 scopus 로고    scopus 로고
    • Optimization of the size of a solar thermal electricity plant by means of genetic algorithms
    • J.M. Cabello, J.M. Cejudo, M. Luque, F. Ruiz, K. Deb, and R. Tewari Optimization of the size of a solar thermal electricity plant by means of genetic algorithms Renew Energy 36 2011 3146 3153
    • (2011) Renew Energy , vol.36 , pp. 3146-3153
    • Cabello, J.M.1    Cejudo, J.M.2    Luque, M.3    Ruiz, F.4    Deb, K.5    Tewari, R.6
  • 15
    • 0347593678 scopus 로고    scopus 로고
    • SOLTRACE a new optical modeling tool for concentrating solar optics
    • Hawaii
    • Wendelin T. SOLTRACE a new optical modeling tool for concentrating solar optics. In: Proc. ISEC, Hawaii, 2003.
    • (2003) Proc. ISEC
    • Wendelin, T.1
  • 16
    • 0022590598 scopus 로고
    • Analytic function for the flux density due to sunlight reflected from a heliostat
    • DOI 10.1016/0038-092X(86)90078-2
    • F.J. Colldado, A. Gomez, and J.A. Turegano An analytic function for the flux density due to sunlight reflected from a heliostat Sol. Energy 37 1986 215 234 (Pubitemid 16630439)
    • (1986) Solar energy , vol.37 , Issue.3 , pp. 215-234
    • Collado, F.J.1    Gomez, A.2    Turegano, J.A.3
  • 17
    • 77649231788 scopus 로고    scopus 로고
    • One-point fitting of the flux density produced by a heliostat
    • F.J. Collado One-point fitting of the flux density produced by a heliostat Sol. Energy 84 2010 673 684
    • (2010) Sol. Energy , vol.84 , pp. 673-684
    • Collado, F.J.1
  • 18
    • 0018289327 scopus 로고
    • Optical analysis of solar facility heliostats
    • DOI 10.1016/0038-092X(79)90143-9
    • E.A. Igel, R.L. Hughes, and S. Laboratories Optical analysis of solar facility heliostats Sol. Energy 22 1979 283 295 (Pubitemid 9430254)
    • (1979) Solar Energy , vol.22 , Issue.3 , pp. 283-295
    • Igel, E.A.1    Hughes, R.L.2
  • 20
    • 84875379930 scopus 로고    scopus 로고
    • The MathWorks Inc.
    • MATLAB. The MathWorks Inc.; 2012.
    • (2012) MATLAB
  • 21
    • 84855794241 scopus 로고    scopus 로고
    • Heliostat field optimization A new computationally efficient model and biomimetic layout
    • C.J. Noone, T. Manuel, and A. Mitsos Heliostat field optimization A new computationally efficient model and biomimetic layout Sol. Energy 86 2012 792 803
    • (2012) Sol. Energy , vol.86 , pp. 792-803
    • Noone, C.J.1    Manuel, T.2    Mitsos, A.3
  • 22
    • 0003474886 scopus 로고    scopus 로고
    • American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta, Georgia [chapter 14]
    • ASHRAE Handbook of Fundamentals. American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta, Georgia, 2013. p. 14.9 [chapter 14].
    • (2013) ASHRAE Handbook of Fundamentals


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.