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Towards optimal solar Tracking: A dynamic programming approach

Jennings, R. Nicholas

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/6E973991-514F-434E-82A8-DFCE1C1B9B6E-
Αναγνωριστικόhttp://eprints.soton.ac.uk/372197/1/pcj2014.pdf-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςTowards optimal solar Tracking: A dynamic programming approachen
ΔημιουργόςJennings, R. Nicholas en
Δημιουργός Chalkiadakis, Georgios en
ΔημιουργόςPanagopoulos, Athanasios Arisen
ΠερίληψηThe power output of photovoltaic systems (PVS) increases with the use of effective and efficient solar tracking tech- niques. However, current techniques suffer from several drawbacks in their tracking policy: (i) they usually do not consider the forecasted or prevailing weather conditions; even when they do, they (ii) rely on complex closed-loop con- trollers and sophisticated instruments; and (iii) typically, they do not take the energy consumption of the trackers into ac- count. In this paper, we propose a policy iteration method (along with specialized variants), which is able to calculate near-optimal trajectories for effective and efficient day-ahead solar tracking, based on weather forecasts coming from on- line providers. To account for the energy needs of the tracking system, the technique employs a novel and generic consump- tion model. Our simulations show that the proposed methods can increase the power output of a PVS considerably, when compared to standard solar tracking techniques.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-09-26-
Ημερομηνία Δημοσίευσης2015-
Βιβλιογραφική ΑναφοράA. A. Panagopoulos , G. Chalkiadakis, R. N. Jennings .(2015). Towards optimal solar tracking: a dynamic programming approach. Presened at 29th AAAI Conference on Artificial Intelligence , Austin, US, 25 - 30 Jan 2015. [online].Available :http://eprints.soton.ac.uk/372197/1/pcj2014.pdfen

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