An Adapted Variable Neighborhood Search based algorithm for the cyclic multi-hoist design and scheduling problem

Laajili, Emna; Lamrous, Sid; Manier, Marié-Ange; Nicod, Jean-Marc

doi:10.1016/j.cie.2021.107225

Cited by 10 publications

(1 citation statement)

References 45 publications

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“…In industrial applications, scheduling problems that pose computational challenges are widespread [9]. Some examples of such problems are staff rostering [10], hoist scheduling [11], satellite scheduling [12], etc. Regarding hydrogen production, [13] proposed a control strategy for the sequential operation of multiple PEM electrolysers, depending on the availability of photovoltaic power.…”

Section: Introductionmentioning

confidence: 99%

Model for Hydrogen Production Scheduling Optimisation

Komasilovs,

Zacepins,

Kviesis

et al. 2024

Modelling

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This scientific article presents a developed model for optimising the scheduling of hydrogen production processes, addressing the growing demand for efficient and sustainable energy sources. The study focuses on the integration of advanced scheduling techniques to improve the overall performance of the hydrogen electrolyser. The proposed model leverages constraint programming and satisfiability (CP-SAT) techniques to systematically analyse complex production schedules, considering factors such as production unit capacities, resource availability and energy costs. By incorporating real-world constraints, such as fluctuating energy prices and the availability of renewable energy, the optimisation model aims to improve overall operational efficiency and reduce production costs. The CP-SAT was applied to achieve more efficient control of the electrolysis process. The optimisation of the scheduling task was set for a 24 h time period with time resolutions of 1 h and 15 min. The performance of the proposed CP-SAT model in this study was then compared with the Monte Carlo Tree Search (MCTS)-based model (developed in our previous work). The CP-SAT was proven to perform better but has several limitations. The model response to the input parameter change has been analysed.

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