Optimization Of The Underground Gas Storage
In Different Rock Environments
Author(s)
S. Kravanja & B. Žlender
Abstract
This paper presents the cost optimization of underground gas storage (UGS),
designed from lined rock caverns (LRC). The optimization is performed by the
non-linear programming (NLP) approach in different rock environments. For this
purpose, the NLP optimization model OPTUGS was developed. The model
comprises the cost objective function, which is subjected to geomechanical and
design constraints. The optimization proposed is to be performed for the phase of
the conceptual design. A numerical example at the end of the paper demonstrates
the efficiency of the introduced optimization approach.
Keywords: underground gas storage, UGS, lined rock cavern, LRC, rock mass
rating, RMR, optimization, non-linear programming, NLP.
1 Introduction
This paper deals with the optimization of the investment and operational costs of
the underground gas storage (UGS), designed from lined rock caverns (LRC)
[1–3]. The optimization is performed by the non-linear programming (NLP)
approach. For this purpose, the NLP optimization model is developed. Since the
optimization is proposed to be performed for the phase of the conceptual design,
only some basic conditions are defined in the optimization model in order to
assure enough strength safety of the rock mass and impermeability of the cavern
wall and steel lining. The latter is achieved by the limitation of steel lining and
concrete wall stains.
Since there exist various rock masses with enough strength to support the
UGS, the optimization of the UGS is proposed to be calculated in different rock
environments. For this purpose, a rock mass classification – the so called rock
mass rating (RMR) system is used.
Keywords
underground gas storage, UGS, lined rock cavern, LRC, rock mass
rating, RMR, optimization, non-linear programming, NLP.
Related Book
Other papers in this volume
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