- Title
- Improving reciprocating compressor performance using a hybrid two-level optimisation approach
- Creator
- Sultan, Ibrahim; Kalim, Azfar
- Date
- 2011
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34353
- Identifier
- vital:4255
- Identifier
-
https://doi.org/10.1108/02644401111141046
- Identifier
- ISSN:0264-4401
- Abstract
- Purpose - This paper seeks to describe a design approach which can be used to manufacture better-performing reciprocating compressors. This design approach relates the drive kinematic characteristics to the thermodynamic performance of the compressor. Design/methodology/approach - The presented approach is based on employing a stochastic optimisation algorithm to find the best piston trajectory within one cycle of operation and couple that with a gradient-based technique to find the best dimensions of the mechanism which can realise this trajectory. Findings - The mathematical models presented to implement the proposed design approach have been coded in a computer program which has been employed for simulation purposes. A case study given at the end of the paper asserts the usefulness of the proposed method and proves that a few percentage points increase in a defined set of performance indices has been gained from the optimisation exercise. Research limitations/implications - The presented models are only relevant to reciprocating compressors. Practical implications - The promising results obtained in this paper will lead to the creation of better performing and more reliable compressor drives, designed to fulfil a set of desired performance criteria. Originality/value - The paper offers originality in two different aspects. The mechanism design process has been undertaken in full consideration to the thermodynamic performance of the compressor; and the coupling of the stochastic and the gradient-based optimisation methods to produce the desired outcome. © 2011 Emerald Group Publishing Limited. All rights reserved.
- Relation
- Engineering Computations (Swansea, Wales) Vol. 28, no. 5 (2011), p. 616-636
- Rights
- This metadata is freely available under a CCO license
- Subject
- Compressors; Mechanical drives; Optimization techniques; Stochastic process; Thermodynamics; Computer program; Design approaches; Kinematic characteristics; Mechanism design; Optimisation method; Optimisations; Percentage points; Performance criterion; Performance indices; Stochastic optimisation; Thermodynamic performance; Machine design; Stochastic systems; Reciprocating compressors
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