Optimisation of Storage for Concentrated Solar Power Plants

Luigi Cirocco, Martin Belusko, Frank Bruno, John Boland and Peter Pudney
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Luigi Cirocco: Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia
Martin Belusko: Barbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia
Frank Bruno: Barbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia
John Boland: Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia
Peter Pudney: Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia

Challenges, 2014, vol. 5, issue 2, 1-31

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 (search for similar items in EconPapers)
JEL-codes: A00 C00 Z00 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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