Comparison of metaheuristics algorithms on robust design optimization of a plain-fin-tube heat exchanger

Tsirikoglou, Panagiotis; Abraham, Simon Michel; Contino, Francesco; Bağcı, Özer; Vierendeels, Jan; Ghorbaniasl, Ghader

doi:10.2514/6.2017-3827

Cited by 8 publications

(6 citation statements)

References 27 publications

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“…To ensure a smooth inclusion of this sparse PCE algorithm in RHEIA, we built the pce module, instead of adopting an existing PCE package in Python, such as ChaosPy (Feinberg & Langtangen, 2015). • Including optimization algorithm alternatives (e.g., Particle Swarm Optimization, Firefly Algorithm, Cuckoo Search), following our experience gained over the last years on using these algorithms in a surrogate-assisted RDO context (Tsirikoglou et al, 2017). Moreover, optimization schemes that can handle mixed-integer problems are also of vital interest.…”

Section: Future Workmentioning

confidence: 99%

RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

Coppitters¹,

Tsirikoglou²,

Paepe³

et al. 2022

JOSS

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Section: Future Workmentioning

confidence: 99%

RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

Coppitters¹,

Tsirikoglou²,

Paepe³

et al. 2022

JOSS

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“…In the interest to find a design that enables the storage of wind power by the production of ammonia while minimizing the impact of the uncertainties on this production, a Robust Design Optimization (RDO) was performed on the model. Combining the NSGA-II algorithm and the PCE method provides a strategy to inexpensively measure the sensitivity of the outcome −or CoV− and progress towards a better set of design parameters, acquired by the genetic algorithm [40,42,43]. This approach optimized the windpowered ammonia synthesis model to determine a design which maximizes the ammonia production while minimizing the CoV of this production.…”

Section: Robust Design Optimizationmentioning

confidence: 99%

How can power-to-ammonia be robust? Optimization of an ammonia synthesis plant powered by a wind turbine considering operational uncertainties

Verleysen

Coppitters

Parente

et al. 2020

Fuel

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The increasing share of wind energy induces a strain on the electricity network. To unburden the transmission system operators from this strain, the dispensable wind energy can locally be stored in an energy carrier, e.g. ammonia (NH 3 ). Existing work considers fixed operational parameters during design optimization to represent real-life conditions of the Power-to-Ammonia (PtA) system. However, uncertainties significantly affect real-life performances, which can lead to suboptimal plants. To provide a robust design −least sensitive to uncertainties− we considered the main operational uncertainties during design optimization and illustrated the contribution of each uncertainty on the systems NH 3 production. This work presents the optimization under uncertainty of the PtA process and a global sensitivity

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“…In this work, the Nondominated Sorting Genetic Algorithm (NSGA-II) is applied to characterise this Pareto set of designs [29,47]. The optimisation algorithm starts with a population size of 60 design samples, based on a rule of thumb of 10 samples per design parameter [48], and the algorithm is characterised with a crossover probability of 0.9. The mutation probability is set at 0.1, which is higher than typical mutation probability values [49], to avoid local minima in subsequent steps in the multi-fidelity optimisation approach.…”

Section: Multi-fidelity Optimisation Approachmentioning

confidence: 99%

Multi-Fidelity Design Optimisation of a Solenoid-Driven Linear Compressor

et al. 2020

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Improved management and impermeability of refrigerants is a leading solution to reverse global warming. Therefore, crank-driven reciprocating refrigerator compressors are gradually replaced by more efficient, oil-free and hermetic linear compressors. However, the design and operation of an electromagnetic actuator, fitted on the compression requirements of a reciprocating linear compressor, received limited attention. Current research mainly focuses on the optimisation of short stroke linear compressors, while long stroke compressors benefit from higher isentropic and volumetric efficiencies. Moreover, designing such a system focuses mainly on the trade-off between number of copper windings and the current required, due to the large computational cost of performing a full geometric design optimisation based on a Finite Element Method. Therefore, in this paper, a computationally-efficient, multi-objective design optimisation for six geometric design parameters has been applied on a solenoid driven linear compressor with a stroke of 44.2 mm. The proposed multi-fidelity optimisation approach takes advantage of established models for actuator optimisation in mechatronic applications, combined with analytical equations established for a solenoid actuator to increase the overall computational efficiency. This paper consists of the multi-fidelity optimisation algorithm, the analytic model and Finite Element Method of a solenoid and the optimised designs obtained for optimised power and copper volume, which dominates the actuator cost. The optimisation results illustrate a trade-off between minimising the peak power and minimising the volume of copper windings. Considering this trade-off, an intermediate design is highlighted, which requires 33.3% less power, at the expense of an increased copper volume by 5.3% as opposed to the design achieving the minimum copper volume. Despite that the effect of the number of windings on the input current remains a dominant design characteristic, adapting the geometric parameters reduces the actuator power requirements significantly as well. Finally, the multi-fidelity optimisation algorithm achieves a 74% reduction in computational cost as opposed to an entire Finite Element Method optimisation. Future work focuses on a similar optimisation approach for a permanent magnet linear actuator.

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Comparison of metaheuristics algorithms on robust design optimization of a plain-fin-tube heat exchanger

Cited by 8 publications

References 27 publications

RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

How can power-to-ammonia be robust? Optimization of an ammonia synthesis plant powered by a wind turbine considering operational uncertainties

Multi-Fidelity Design Optimisation of a Solenoid-Driven Linear Compressor

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