Baseload wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation

By J. Greenblatt, S. Succar, D. Denkenberger, R. Williams, R. Socolow. 2007

276 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/46e4629aa22c7137f8ff7247cbdeae0cbf82040f

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Citations in the corpus

Bringing Wind Energy to Market (2012, background): “[24] compared gas turbines and compressed air energy storage (CAES) in the context of wind as part of base-load electricity generation.”
The technical, geographical, and economic feasibility for solar energy to supply the energy needs of the US (2009, background): “Greenblatt et al. (2007) showed the economic viability of integrating wind and CAES; a CAES plant in Iowa is being built for such integration.”
Increasing the Value of Wind with Energy Storage (2011, background): “Sørensen (1981), Cavallo (1995), Denholm et al. (2005), Paatero and Lund (2005), DeCarolis and Keith (2006), Succar et al. (2006), Greenblatt et al. (2007), Swider (2007), Black and Strbac (2007), Abbey and Joos (2007), and Garcı´a-Gonza´lez et al. (2009) all examine the value of using energy…”
Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy (2013, background): “Finally, flexibility of such systems to serve as both base load plants [53] and peak following units [54] is thought to provide considerable opportunities for the improved management of wind energy generation [55].”
Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage Using Approximate Dynamic Programming (2014, background): “In addition, Greenblatt et al. (2007) find that for high greenhouse gas emissions prices, compressed air energy storage is a better choice as a supplemental generator to wind energy when compared to natural gas turbines.”
Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with fluctuating prices (2009, background): “In recent years, CAES has primarily been seen as a means of improving the integration of fluctuating wind power into the electricity supply [5-9] or it has been compared to other electricity storage options [10,11].”
A stochastic dynamic programming model for co-optimization of distributed energy storage (2013, background): “This includes the use of storage to mitigate renewable variability and uncertainty [26, 1,15]; the economic and emissions impacts of storage and renewables [6,17,32, 31]; and using storage to reduce the need for dedicated transmission to deliver renewable energy to load centers [7,33].”
Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies (2011, background): “(1997) (cited by De Carolis and Keith, 2006; Greenblatt et al., 2007) assume a value of $0.”
The value of compressed air energy storage with wind in transmission-constrained electric power systems (2009, unknown): “Annual cost may be translated into total cost by the simpliﬁed relationship: where the capital charge rate (CCR) captures all the various ﬁnancing parameters, and we assume an 11% CCR (Greenblatt et al., 2007).”