DocumentCode :
648045
Title :
UK optimization of electricity generation mix for 2030
Author :
Tischner, Daniel ; Ukleja, James ; Williams, Laurie ; Vardakis, Efthymios ; Porta, Josep
Author_Institution :
Centre for Intell. Electr. Networks, Univ. of Newcastle, Newcastle, NSW, Australia
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
From the perspective of the UK energy policy and future energy generation mix scenarios, this research is focused on the optimisation of the future shape of the electricity generation by 2030. Main priorities for future energy production will be focused on three crucial factors based on reduction of greenhouse gas (GHG) emissions, security supply and affordability. Using optimised Excel spreadsheet, based on the dispatchable and non-dispatchable technologies, it has been tried to find out the lowest energy cost of electricity whilst the annual demand requirements and targets in terms of emissions and supply were satisfied.
Keywords :
air pollution control; government policies; power generation dispatch; GHG; UK energy policy; UK optimization; dispatchable technology; electricity generation mix; energy cost; energy generation mix; energy production; greenhouse gas emission reduction; nondispatchable technology; optimised Excel spreadsheet; security supply; Carbon; Electricity; Europe; Meteorology; Optimization; Production; Renewable energy sources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672604
Filename :
6672604
Link To Document :
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