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Thomas Ashley 1 ; Emilio Carrizosa 1 ; Enrique Fernández-Cara 2
@article{MMNP_2021_16_a52, author = {Thomas Ashley and Emilio Carrizosa and Enrique Fern\'andez-Cara}, title = {An extremal problem with applications to renewable energy production}, journal = {Mathematical modelling of natural phenomena}, eid = {37}, publisher = {mathdoc}, volume = {16}, year = {2021}, doi = {10.1051/mmnp/2021029}, language = {en}, url = {https://geodesic-test.mathdoc.fr/articles/10.1051/mmnp/2021029/} }
TY - JOUR AU - Thomas Ashley AU - Emilio Carrizosa AU - Enrique Fernández-Cara TI - An extremal problem with applications to renewable energy production JO - Mathematical modelling of natural phenomena PY - 2021 VL - 16 PB - mathdoc UR - https://geodesic-test.mathdoc.fr/articles/10.1051/mmnp/2021029/ DO - 10.1051/mmnp/2021029 LA - en ID - MMNP_2021_16_a52 ER -
%0 Journal Article %A Thomas Ashley %A Emilio Carrizosa %A Enrique Fernández-Cara %T An extremal problem with applications to renewable energy production %J Mathematical modelling of natural phenomena %D 2021 %V 16 %I mathdoc %U https://geodesic-test.mathdoc.fr/articles/10.1051/mmnp/2021029/ %R 10.1051/mmnp/2021029 %G en %F MMNP_2021_16_a52
Thomas Ashley; Emilio Carrizosa; Enrique Fernández-Cara. An extremal problem with applications to renewable energy production. Mathematical modelling of natural phenomena, Tome 16 (2021), article no. 37. doi : 10.1051/mmnp/2021029. https://geodesic-test.mathdoc.fr/articles/10.1051/mmnp/2021029/
[1] T. Ashley, E. Carrizosa and E. Fernández-Cara, Optimisation of aiming strategies in Solar Power Tower plants. Energy (2017).
[2] T. Ashley, E. Carrizosa and E. Fernández-Cara, Continuous Optimisation Techniques for Optimal Aiming Strategies in Solar Power Tower Plants (Submitted) (2018).
[3] Heliostat field cleaning scheduling for Solar Power Tower plants: a heuristic approach Appl. Energy 2019 653 660
, ,[4] Heliostat aiming point optimization for external tower receiver Solar Energy 2017 1114 1129
, , , ,[5] Optimizing dispatch for a concentrated solar power tower Solar Energy 2018 1198 1211
, , , , ,[6] Multi-objective optimisation of renewable hybrid energy systems with desalination Energy 2015 457 468
, ,[7] I. Ekeland and R. Temam, Convex analysis and variational problems. Elsevier (1976).
[8] A review of computational optimisation methods applied to sustainable building design Renew. Sustain. Energy Rev 2013 230 245
[9] Global optimization of solar power tower systems using a Monte Carlo algorithm: application to a redesign of the PS10 solar thermal power plant Renew. Energy 2018 345 353
, ,[10] I.V. Girsanov, Lectures on mathematical theory of extremum problems. Springer-Verlag, Berlin-New York (1972).
[11] A review on optimization methods applied in energy-efficient building geometry and envelope design Renew. Sustain. Energy Rev 2018 897 920
[12] Several efficient gradient methods with approximate optimal stepsizes for large scale unconstrained optimization J. Comput. Appl. Math 2018 400 413
,[13] Methodology of on-line optimization applied to a chemical reactor Appl. Math. Model 2008 170 184
,[14] A modification of Armijo’s step-size rule for negative curvature Math. Program 1977 111 115
[15] J. Nocedal, S.J. Wright and S.M. Robinson, Numerical Optimization, Springer, 1 ed. (1999).
[16] A review of dynamic vehicle routing problems Eur. J. Operat. Res 2013 1 11
, , ,[17] Tower technology cost reduction approach after Gemasolar experience Energy Proc 2015 1660 1666
,[18] Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming Eur. J. Oper. Res 2012 611 621
[19] Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm Appl. Energy 2017 399 416
, , ,[20] Analysis and improvement of solar flux distribution inside a cavity receiver based on multi-focal points of heliostat field Appl. Energy 2014 417 430
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