Next Article in Journal
Acknowledgement to Reviewers of Challenges in 2014
Previous Article in Journal
An Evolutionary Optimizer of libsvm Models
Article Menu

Article Versions

Export Article

Open AccessArticle
Challenges 2014, 5(2), 473-503; doi:10.3390/challe5020473

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.
Received: 10 October 2014 / Revised: 1 December 2014 / Accepted: 2 December 2014 / Published: 12 December 2014
Download PDF [492 KB, uploaded 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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Challenges EISSN 2078-1547 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top