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Article

Optimisation of Storage for Concentrated Solar Power Plants

1
Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia
2
Barbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia
*
Author to whom correspondence should be addressed.
Challenges 2014, 5(2), 473-503; https://doi.org/10.3390/challe5020473
Submission received: 10 October 2014 / Revised: 1 December 2014 / Accepted: 2 December 2014 / Published: 12 December 2014

Abstract

The proliferation of non-scheduled generation from renewable electrical energy sources such concentrated solar power (CSP) presents a need for enabling scheduled generation by incorporating energy storage; either via directly coupled Thermal Energy Storage (TES) or Electrical Storage Systems (ESS) distributed within the electrical network or grid. The challenges for 100% renewable energy generation are: to minimise capitalisation cost and to maximise energy dispatch capacity. The aims of this review article are twofold: to review storage technologies and to survey the most appropriate optimisation techniques to determine optimal operation and size of storage of a system to operate in the Australian National Energy Market (NEM). Storage technologies are reviewed to establish indicative characterisations of energy density, conversion efficiency, charge/discharge rates and costings. A partitioning of optimisation techniques based on methods most appropriate for various time scales is performed: from “whole of year”, seasonal, monthly, weekly and daily averaging to those best suited matching the NEM bid timing of five minute dispatch bidding, averaged on the half hour as the trading settlement spot price. Finally, a selection of the most promising research directions and methods to determine the optimal operation and sizing of storage for renewables in the grid is presented.
Keywords: concentrated solar power; energy storage systems; thermal energy storage; optimisation concentrated solar power; energy storage systems; thermal energy storage; optimisation

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MDPI and ACS Style

Cirocco, L.; Belusko, M.; Bruno, F.; Boland, J.; Pudney, P. Optimisation of Storage for Concentrated Solar Power Plants. Challenges 2014, 5, 473-503. https://doi.org/10.3390/challe5020473

AMA Style

Cirocco L, Belusko M, Bruno F, Boland J, Pudney P. Optimisation of Storage for Concentrated Solar Power Plants. Challenges. 2014; 5(2):473-503. https://doi.org/10.3390/challe5020473

Chicago/Turabian Style

Cirocco, Luigi, Martin Belusko, Frank Bruno, John Boland, and Peter Pudney. 2014. "Optimisation of Storage for Concentrated Solar Power Plants" Challenges 5, no. 2: 473-503. https://doi.org/10.3390/challe5020473

APA Style

Cirocco, L., Belusko, M., Bruno, F., Boland, J., & Pudney, P. (2014). Optimisation of Storage for Concentrated Solar Power Plants. Challenges, 5(2), 473-503. https://doi.org/10.3390/challe5020473

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