DocumentCode
134745
Title
Waste Heat Recovery: A risk management strategy for wind farms and compressed energy storage plants
Author
Doluweera, Ganesh ; Safaei, Hossein
Author_Institution
Inst. for Sustainable Energy, Univ. of Calgary, Calgary, AB, Canada
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
Risk management strategies are crucial to improve economic attractiveness of intermittent renewables. Large scale integration of these variable sources without proper contingency measures is a reliability concern for grid operators. Here, we use a two-stage stochastic optimization model in order to evaluate economic attractiveness of two bulk energy storage technologies to a risk averse wind farm operator participating in a hypothetical day-ahead market. Conventional compressed air energy storage (CAES) and a variation of CAES called D-CAES which earns extra revenues through sales of otherwise wasted heat of compression are used as storage technologies. In this case study, standalone wind recovered only 54% of its annual costs (capital and fixed operating and maintenance) while both CAES plants provided 10% return on investment. Imbalance penalties were 50% lower for D-CAES compared to CAES.
Keywords
compressed air energy storage; heat recovery; power generation economics; power generation reliability; power markets; risk management; stochastic programming; waste heat; waste recovery; wind power plants; D-CAES; bulk energy storage technology; compressed energy storage plants; economic attractiveness evaluation; grid operators; hypothetical day-ahead market; intermittent renewables; reliability; return on investment; risk averse wind farm operator; risk management strategy; two-stage stochastic optimization model; waste heat recovery; Electricity; Heat recovery; Mathematical model; Risk management; Wind farms; Wind power generation; Energy Storage; Risk Management; Waste Heat Recovery; Wind energy;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6938880
Filename
6938880
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