Title :
Multi objective power mix optimization
Author_Institution :
Dept. of Power Syst., Obuda Univ., Budapest, Hungary
Abstract :
The EU for the sustainable energy generation made some directives related the raise of the renewable ratio in the energy mix portfolio. E.g. Hungary must generate 13% of the electrical energy on renewable base in 2020. The actual energy prices do not represent the future external society costs of the environment pollution, damage and climate change. The reduction of the CO2 emission, the lowest external cost solution is not the short term cheapest solution. In this paper we use Single Objective Optimization technique to demonstrate that the energy strategy can be based on clear scientific considerations instead of political approach. We find that the real energy portfolio can be planned by Multi Objective Optimization techniques.
Keywords :
climate mitigation; environmental economics; optimisation; sustainable development; CO2 emission reduction; EU; energy mix portfolio; energy prices; objective power mix optimization; single objective optimization technique; sustainable energy generation; Cost function; Fuels; Informatics; Machine intelligence; Nuclear power generation; Portfolios; Power generation; Power systems; Radioactive pollution; Renewable energy resources; Single and Multi Objective Optimization; energy generation portfolio; external costs;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2010 IEEE 8th International Symposium on
Conference_Location :
Herlany
Print_ISBN :
978-1-4244-6422-7
DOI :
10.1109/SAMI.2010.5423742