New symbolic model for multi-compressor operation based on multi-objective Jaya optimization for life/energy saving

Abstract

Compressors can be considered as one of the most important utilities in industrial processes. Around 10–14 percent of the electricity consumption in industry was used to produce compressed air. So, in industrial facilities, compressors are the largest energy-consuming equipment. Therefore, energy saving in multi-compressor systems (MCS) is very challenging. In this paper, a new symbolic model based on multi objective Jaya algorithm for the MCS is proposed. The proposed model considered an optimal electrical power consumption (EPC) as well as optimal life span while maintaining the demanded compressed air flow during load change. The proposed model selected compressors that would meet the demanded air flow by adjusting their partial load ratio (PLR) for each changeable variable speed drive compressor (VSDC). This study has optimized the operating period for each compressor based on the optimal power consumption of MCS as well as optimal life span of each compressor. Evolutionary multi-objective Jaya algorithm is proposed to solve the optimization problem. Furthermore, Grey Wolf optimizer has been used and its results have been compared to show that MO-Jaya showed better performance with the proposed problem. Different practical cases of study have been considered and analyzed showing that the multi-objective optimization model could dramatically reduce consumption costs and increase machine’s life span. Besides, the maintenance schedule of each compressor could be predicted and planned based on the MCS schedule. Variant air flow has been applied to test the effectiveness of the proposed model.

Keywords

• Extending life span
• Jaya algorithm
• Multi-compressor system
• Multi-objective optimization
• Power consumption