Modelling and analysis of compressed air system with compressors

Hu, Junjie; Jiang, Aipeng; Zhang, Quannan; Xu, Weiya

doi:10.1109/cac.2017.8243304

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Systems with multiple compressors were also investigated and modelled. In [7,22,23], modelling of CAS with multiple compressors was studied. In [7], the simulation of multiple compressors was studied using three different control stratagems: network sequence control, pressure band control and automatic sequencer control.…”

Section: Simulation and Modellingmentioning

confidence: 99%

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Intelligent Energy Management of Compressed Air Systems

Thabet

Sanders

Becerra

et al. 2020

2020 IEEE 10th International Conference on Intelligent Systems (IS)

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This work considers the use of real time sensing and AI (machine learning) to increase Compressed Air Systems (CAS) efficiency. Algorithms that automate the detection of energy inefficiencies and make decisions regarding suitable troubleshooting procedure will be created. Systems using compressed air are often inefficient and expensive to operate. Less than one unit of energy is turned into useful compressed air for every ten provided. Intelligent systems will be used to reduce energy consumption in compressors by considering real-time circumstances and the predicted needs. Sensor data will deliver information about the real time performance. AI will interpret the data and then act automatically. New intelligent techniques will be applied to save energy. This paper presents a review of the recent literature covering the topic of CAS energy efficiency. Some gaps in research were identified in the area of developing technologies and methods to detect and treat energy inefficiencies in CAS.

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Section: Simulation and Modellingmentioning

confidence: 99%

“…In [22], different controller approaches with fixed and variable compressor speed drive modes were investigated. In [23], an analytical approach to modelling cascade and frequency control modes for CAS with multiple compressors was presented.…”

Section: Simulation and Modellingmentioning

confidence: 99%