Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747513
Title: Techno-economic assessment of the integration of high renewables into the Australian National Electricity Market
Author: Wu, Yunyang
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2018
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Abstract:
This thesis explores the least cost combination of renewable generation technolo- gies, transmission interconnectors and storage capacity in different supply and de- mand scenarios in the Australian National Electricity Market (NEM) regions. Aus- tralia faced high retail electricity prices due to investment in the electricity distri- bution system, significant increase in greenhouse gas emissions (144% compared to 1990 levels) from electricity sector. In the same time peak demand decreased in most states because of energy conservation, on-site generation and industry evolu- tion. Future plans like reduce greenhouse gas emissions by 26% by 2030, use of energy storage (e.g. batteries, concentrated solar thermal power system), increase use of renewables will require a reshape and rethinking of the current energy sys- tem. Although the high renewable penetration system in the NEM regions has been widely discussed, there is lack of co-optimization of the renewable technologies, transmission expansion and storage capacity together. Besides, most studies use historical demand data when optimizing the system, without a detailed assumption of the demand changed by various factors. This study contributes to the current research by building in a depth demand model based on social behaviour, buildings and ambient temperature to analyse the possible changes on demand. A Genetic Algorithm (GA) together with an electric- ity dispatch simulation model at hourly temporal resolution was used in this study. The benefit of this approach consists in co-optimization the renewable generation technologies, transmission interconnectors and storage capacity in the NEM system in different renewable mix and demand scenarios.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.747513  DOI: Not available
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