High performance computing for the heliostat field layout evaluation
Author(s) -
N.C. Cruz,
Juana L. Redondo,
Manuel Berenguel,
J.D. Álvarez,
Antonio Becerra-Terón,
Pilar M. Ortigosa
Publication year - 2016
Publication title -
the journal of supercomputing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.445
H-Index - 61
eISSN - 1573-0484
pISSN - 0920-8542
DOI - 10.1007/s11227-016-1698-7
Subject(s) - computer science , heliostat , field (mathematics) , parallel computing , computational science , electrical engineering , solar energy , mathematics , pure mathematics , engineering
In Solar Central Receiver Systems (SCRS), the heliostat field is generally the most important subsystem in terms of initial investment and energy losses. Therefore, heliostat field layout needs to be carefully designed and optimized when deploying this kind of power facilities. This optimization procedure can be focused on multiple and heterogeneous criteria depending on particular factors that lead to define different optimization problems based on specific objective functions. However, objective functions defined for this problem are, in general terms, computationally very expensive. This fact may make an exhaustive optimization process infeasible, specially depending on the available resources, and forces particular simplifications at some steps of the process. Fortunately, some of the objective functions defined can benefit from parallelization, even though this idea is not usually pointed out or discussed, and then, become affordable in better conditions. In this paper, the heliostat field optical efficiency, which is a common objective function in this area, is analyzed to be parallelized by three different approaches.
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