Energy Optimization in Pneumatic Systems Using ENS-200 Energy Saving Trainer

Maha Guru Shankar Perumal, University of Texas at El Paso

Abstract

Various industries such as manufacturing and assembly, the automotive sector, printing and paper handling, packaging, aerospace, etc., widely use pneumatic systems for a variety of operations. Enterprises use pneumatic systems for cost-effectiveness, reliability, and simplicity. However, they also have certain inefficiencies, leading to high operating costs and reduced efficiency in various applications. The focus of this research is on energy optimization in pneumatic systems to improve efficiency in industrial applications, minimize energy waste, and reduce operational costs. The best practices for enhancing energy efficiency in pneumatic systems were proper system design, pressure regulation, leak detection and repair, energy-efficient components, and regular maintenance.This study utilized the ENS-200 Energy Saving trainer, which consisted of a standard actuator, double forced cylinder, air guns, primary pressure regulator, auxiliary pressure regulator, and Programmable Logic Controllers (PLCs). The energy-saving trainer provided a platform to investigate processes to optimize energy efficiency by reducing excess operating pressure, the impact of using a pressure regulator on an actuator requiring lower pressure, proper selection and sizing of pneumatic components, and the effect of leaks in the pneumatic system, along with strategies to minimize their impact through sectorization.Overall, this research emphasized the importance of addressing energy optimization in pneumatic systems to achieve cost savings while maintaining the performance and reliability necessary for various industrial applications.

Subject Area

Industrial engineering|Management|Energy

Recommended Citation

Perumal, Maha Guru Shankar, "Energy Optimization in Pneumatic Systems Using ENS-200 Energy Saving Trainer" (2024). ETD Collection for University of Texas, El Paso. AAI31298220.
https://scholarworks.utep.edu/dissertations/AAI31298220

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