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An Integrated Energy Simulation Model of a Compressed Air System for Sustainable Manufacturing: A Time-Discretized Approach

Author

Listed:
  • Vansh Vyas

    (Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
    LSU-Industrial Assessment Center, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Hyun-woo Jeon

    (Department of Industrial & Management Systems Engineering, Kyung Hee University, Yongin-si 17104, Korea)

  • Chao Wang

    (LSU-Industrial Assessment Center, Louisiana State University, Baton Rouge, LA 70803, USA
    Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA)

Abstract

A compressed air system (CAS) is one of the most common and energy-consuming systems in manufacturing. To practice more economically and environmentally sustainable manufacturing, manufacturers need ways to reduce the energy costs and carbon footprint, resulting from a CAS in their production systems. While preliminary energy studies on a CAS and on machining processes are available separately, existing research studies rarely analyze energy costs using a tool that considers both a CAS and production systems. Therefore, in this study, we propose an energy simulation tool that combines a CAS and a production system to evaluate the effects of a CAS and production parameters on energy consumption and costs at a factory level. In particular, we develop a time-discretized algorithm for simulating a CAS to accurately consider the dynamics of CAS parameters such as pressure and flow rate. From 48 simulation case studies, we show that changes in a CAS such as proper HP sizing, a reduction in compressed air leaks, and a decrease in the discharge pressure can increase productivity and reduce energy costs by up to 11%. The simulation analysis from this study suggests a way to help manufacturers and researchers find more sustainable ways to achieve energy-efficient configurations for production systems including a CAS.

Suggested Citation

  • Vansh Vyas & Hyun-woo Jeon & Chao Wang, 2021. "An Integrated Energy Simulation Model of a Compressed Air System for Sustainable Manufacturing: A Time-Discretized Approach," Sustainability, MDPI, vol. 13(18), pages 1-28, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10340-:d:636652
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    References listed on IDEAS

    as
    1. Wang, Haiyang & Zhang, Chenghui & Li, Ke & Ma, Xin, 2021. "Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storage," Energy, Elsevier, vol. 221(C).
    2. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    3. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
    4. Marc A. Rosen & Hossam A. Kishawy, 2012. "Sustainable Manufacturing and Design: Concepts, Practices and Needs," Sustainability, MDPI, vol. 4(2), pages 1-21, January.
    5. Li, Yufeng & He, Yan & Wang, Yan & Wang, Yulin & Yan, Ping & Lin, Shenlong, 2015. "A modeling method for hybrid energy behaviors in flexible machining systems," Energy, Elsevier, vol. 86(C), pages 164-174.
    6. Saidur, R. & Rahim, N.A. & Hasanuzzaman, M., 2010. "A review on compressed-air energy use and energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1135-1153, May.
    7. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    8. Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Mishra, Dillip Kumar & Li, Li & Zhang, Jiangfeng & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Application of small-scale compressed air energy storage in the daily operation of an active distribution system," Energy, Elsevier, vol. 231(C).
    9. Alirahmi, Seyed Mojtaba & Razmi, Amir Reza & Arabkoohsar, Ahmad, 2021. "Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
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