DocumentCode :
725437
Title :
Biogas power plant operation considering limited biofuel resources
Author :
Varfolomejeva, Renata ; Sauhats, Antans ; Umbrasko, Inga ; Broka, Zane
Author_Institution :
Inst. of Power Eng., Riga Tech. Univ., Riga, Latvia
fYear :
2015
fDate :
10-13 June 2015
Firstpage :
570
Lastpage :
575
Abstract :
The problem of operational planning of a biogas combined heat and power (CHP) plant under conditions of limited biofuel resources is analyzed in this paper. The power plant operation mode depends on the biomass amount and its delivery. Consideration of parameters with high dispersion, such as the ambient temperature, thermal energy consumption and energy price, makes the problem solution much more complicated and requires new algorithms and software tools. This paper proposes an algorithm of stochastic optimization to estimate the maximum value of income by taking into account the random nature of variables. When the biomass resource is limited, the need of its optimal distribution for all the time periods considered becomes of top importance. In this paper, a case study is conducted on a realistic biogas CHP plant that demonstrates the feasibility of our stochastic optimization algorithm. It is concluded that the proposed algorithm can increase the efficiency of the biogas power plant operations under conditions of limited resources. The main distinction of this paper is that a biogas CHP plant optimization model is considered from the point of view of income maximization under market conditions taking into account the limited biomass resources.
Keywords :
biofuel; cogeneration; optimisation; power markets; ambient temperature; biogas CHP plant; biogas combined heat and power plant; energy price; income maximization; limited biofuel resources; market conditions; optimal distribution; stochastic optimization; thermal energy consumption; Biomass; Cogeneration; Optimization; Planning; Production; Thermal energy; biogas power plant; combined heat and power (CHP); electricity market; stochastic optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-7992-9
Type :
conf
DOI :
10.1109/EEEIC.2015.7165225
Filename :
7165225
Link To Document :
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