Optimisation of Storage for Concentrated Solar Power Plants
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) d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-12-01
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| Series: | Challenges |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2078-1547/5/2/473 |
| _version_ | 1798044079777382400 |
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| author | Luigi Cirocco Martin Belusko Frank Bruno John Boland Peter Pudney |
| author_facet | Luigi Cirocco Martin Belusko Frank Bruno John Boland Peter Pudney |
| author_sort | Luigi Cirocco |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:58:13Z |
| format | Article |
| id | doaj.art-15b7160e6bef4650a440b884f6453888 |
| institution | Directory Open Access Journal |
| issn | 2078-1547 |
| language | English |
| last_indexed | 2024-04-11T22:58:13Z |
| publishDate | 2014-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Challenges |
| spelling | doaj.art-15b7160e6bef4650a440b884f64538882022-12-22T03:58:18ZengMDPI AGChallenges2078-15472014-12-015247350310.3390/challe5020473challe5020473Optimisation of Storage for Concentrated Solar Power PlantsLuigi Cirocco0Martin Belusko1Frank Bruno2John Boland3Peter Pudney4Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, AustraliaBarbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, AustraliaBarbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, AustraliaCentre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, AustraliaCentre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, AustraliaThe 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.http://www.mdpi.com/2078-1547/5/2/473concentrated solar powerenergy storage systemsthermal energy storageoptimisation |
| spellingShingle | Luigi Cirocco Martin Belusko Frank Bruno John Boland Peter Pudney Optimisation of Storage for Concentrated Solar Power Plants Challenges concentrated solar power energy storage systems thermal energy storage optimisation |
| title | Optimisation of Storage for Concentrated Solar Power Plants |
| title_full | Optimisation of Storage for Concentrated Solar Power Plants |
| title_fullStr | Optimisation of Storage for Concentrated Solar Power Plants |
| title_full_unstemmed | Optimisation of Storage for Concentrated Solar Power Plants |
| title_short | Optimisation of Storage for Concentrated Solar Power Plants |
| title_sort | optimisation of storage for concentrated solar power plants |
| topic | concentrated solar power energy storage systems thermal energy storage optimisation |
| url | http://www.mdpi.com/2078-1547/5/2/473 |
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