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Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
An automated procedure for the design of compressed Air Energy Storage (CAES) systems is presented. The procedure relies upon modern nonlinear programming algorithms, decomposition theory and numerical models of the various system components. Two modern optimization methods are employed; BIAS, a Method of Multipliers code and OPT, a Generalized Reduced Gradient code. The procedure is demonstrated by the design of a CAES facility employing the Media, Illinois Galesville aquifer as th reservoir. The methods employed produced significant reduction in capital and operating cost, and in number of aquifer wells required.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
An automated procedure for the design of compressed Air Energy Storage (CAES) systems is presented. The procedure relies upon modern nonlinear programming algorithms, decomposition theory and numerical models of the various system components. Two modern optimization methods are employed; BIAS, a Method of Multipliers code and OPT, a Generalized Reduced Gradient code. The procedure is demonstrated by the design of a CAES facility employing the Media, Illinois Galesville aquifer as th reservoir. The methods employed produced significant reduction in capital and operating cost, and in number of aquifer wells required.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Compressed air energy storage (CAES) power systems are currently being considered by various electric utilities for load-leveling applications. Models of CAES systems which employ natural underground aquifer formations, and present an optimal design methodology which demonstrates their economic viability are developed. This approach is based upon a decomposition of the CAES plant and utility grid system into three partially-decoupled subsystems. Numerical results are given for a plant employing the Media, Illinois Galesville aquifer formation.
Author: Argonne National Laboratory. Energy and Environmental Systems Division Publisher: ISBN: Category : Environmental protection Languages : en Pages : 112
Author: Younghyun Kim Publisher: ISBN: 9781601987051 Category : Electric power distribution Languages : en Pages : 92
Book Description
Computer-Aided Design and Optimization of Hybrid Energy Storage Systems is an extensive survey of research work and results on key aspects of the hybrid energy storage system, including system architecture, design optimization, and applications. The text covers the basics of the HESS, starting from the energy storage element technologies and homogeneous ESS to the architecture, optimization schemes, and applications of the HESS in comparison with the homogeneous ESS.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
The application of a general Compressed Air Energy Storage (CAES) power system design optimization methodology to the class of CAES plants having aquifer air storage reservoirs is discussed. The resulting procedure incorporates performance and economic models for the aquifer reservoir, wells, piping, and air compression system. Its use allows identification of designs which minimize the subsystem power generation cost (mills/kWh), while satisfying constraints related to the geology, equipment, and utility load curve. The design specification resulting from the optimization procedure includes: land area to be purchased, well depth, number of wells, well spacing, wellbore diameter, main pipeline diameter, required compressor system power and discharge pressure, and required compression time durations for each day of the week. A capital and operating cost summary for the optimum design is a final output of the procedure. The paper reviews the models and constraints incorporated in the optimization procedure. Although the basic framework is well-developed, some refinements or additions to the modeling may be necessary to improve the results; these possibilities are discussed. Results of case studies are included in order to illustrate the power and potential economic impact of the techniques described, to demonstrate some of the economic tradeoffs which occur in the optimal design of aquifer reservoir-based CAES systems, and to show the influence of certain cost parameters.
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Author: Argonne National Laboratory. Energy and Environmental Systems Division
Author: Younghyun Kim
Author: Argonne National Laboratory. Energy and Environmental Systems Division
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Author: Birol Kilkis
Author: Robert W. Lockerby