Branch-Parallel Simulated Annealing for Energy-Efficient Multi-Compressor Operation

The overall energy efficiency of a multi-compressor system varies greatly depending on its operating strategy. In most industrial facilities, the strategy is still determined empirically by operators, which often fails to achieve optimal energy efficiency. The optimization of multi-compressor operation is inherently complex, as it must simultaneously consider various operational factors such as on/off combinations, type-specific flow capacities, and flow constraints. This study proposes a parallel-search simulated annealing algorithm that employs a branch-based exploration mechanism. In the proposed algorithm, multiple search branches independently explore the solution space and periodically exchange information, enabling a broader search and faster convergence than conventional simulated annealing. Simulation results show that the proposed approach reduces total power consumption by about 8% compared with existing heuristic methods while maintaining stable and consistent performance across large-scale scenarios.

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Publication Details

Journal
Electronics
Published
2026-01-02
DOI
https://doi.org/10.3390/electronics15010214
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

Branch-Parallel Simulated Annealing for Energy-Efficient Multi-Compressor Operation

N. Komuro, Jaeyoung Han, Minjae Kim, Won-Suk Kim et al.
Electronics
Process Optimization and Integration
article

Branch-Parallel Simulated Annealing for Energy-Efficient Multi-Compressor Operation

N. Komuro, Jaeyoung Han, Minjae Kim, Won-Suk Kim, Ho-Jin Choi
article en

Abstract

The overall energy efficiency of a multi-compressor system varies greatly depending on its operating strategy. In most industrial facilities, the strategy is still determined empirically by operators, which often fails to achieve optimal energy efficiency. The optimization of multi-compressor operation is inherently complex, as it must simultaneously consider various operational factors such as on/off combinations, type-specific flow capacities, and flow constraints. This study proposes a parallel-search simulated annealing algorithm that employs a branch-based exploration mechanism. In the proposed algorithm, multiple search branches independently explore the solution space and periodically exchange information, enabling a broader search and faster convergence than conventional simulated annealing. Simulation results show that the proposed approach reduces total power consumption by about 8% compared with existing heuristic methods while maintaining stable and consistent performance across large-scale scenarios.

ElectronicsVol. 15(1)
Chiba University (JP), Kongju National University (KR), Pusan National University (KR)
Ministry of Science and ICT, South Korea
Affordable and clean energy
Openalex Percentile: Top 99%
Process Optimization and Integration
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Branch-Parallel Simulated Annealing for Energy-Efficient Multi-Compressor Operation — N. Komuro, Jaeyoung Han, et al. · Electronics (2026) | TGRS Research Map | TGRS