Analytical and experimental study on complex compressed air pipe network

Chinese Journal of Mechanical Engineering (English Edition)

Volumn 28, Issue 5, 2015, Pages 1023-1029

  Gai, Yushou ^a   Cai, Maolin ^a   Shi, Yan ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Compressed air; Flow prediction; Pipeline network; Topology; Topology structure

Indexed keywords

COMPRESSED AIR; FORECASTING; NUMERICAL METHODS; PRESSURE VESSELS; TOPOLOGY;

FINITE ELEMENT TECHNOLOGY; FLOW PREDICTION; INTELLIGENT ALGORITHMS; PIPELINE NETWORKS; PREDICTION METHODS; PRESSURE FLUCTUATION; PRESSURE LOSS; TOPOLOGY STRUCTURE;

COMPLEX NETWORKS;

EID: 84942847659     PISSN: 10009345     EISSN: 21928258     Source Type: Journal    
DOI: 10.3901/CJME.2015.0515.071     Document Type: Article

References (19)

1. CHRIS Beals, JOSEPH Ghislain, HENRY Kemp, et al. Improving compressed air system performance [R]. U.S. Department of Energy, 2003.
2. KAYA D, PHELAN P, CHAU D, SARAC HI. Energy conservation in compressed-air systems [J]. International Journal of Energy Research, 2002, 26: 837-849.
3. CAI Maolin, KAWASHIMA Kenji, KAGAWA Toshiharu. Power assessment of flowing compressed air [J]. Journal of Fluids Engineering-Transactions of the ASME, 2006, 128(2): 402-405.
4. LI Jianpan. Energy-saving of pneumatic system [M]. Beijing: China Machine Press, 1997.
5. ZHENG Zhihai, AN Aiwei, HAN Liping, et al. Interconnection reconstruction scheme for compressed air system [J]. Glass, 2006, 5(188): 53-54.
6. KIM YOUNGSUK, WON Heekang. Network reliability analysis of complex systems using a non-simulation-based method [J]. Reliability Engineering and System Safety, 2013, 110: 80-88.
7. TERUAKI Ito. A genetic algorithm approach to piping route path planning [J]. Journal of Intelligent Manufacturing, 1999, 10: 103-114.
8. CHAN APPLE L S, VIC I Hanby, CHOW T T. Optimization of distribution piping network in district cooling system using genetic algorithm with local search [J]. Energy Conversion and Management, 2007, 48: 2622-2629.
9. MARCELO Castier. Rigorous multiple utility targeting in heat exchanger networks [J]. Energy Conversion and Management, 2012, 59: 74-85.
10. HALHAL D, WALTERS G A, QUAZAR D, et al. Water network rehabilitation with structured messy genetic algorithm [J]. Journal of Water Resources Planning and Management-asce, 1997, 123(3): 137-146.
11. HOLGER R Maier, ANGUS R Simpson, AARON C Zecchin, et al. Ant colony optimization for design of water distribution systems [J]. J. Water Resour. Plann. Manage, 2003, 129(3): 200-209.
12. CHEBOUBA A, AMADEO L, YALAOUI F, et al. Optimization of natural gas pipeline transportation using ant colony optimization algorithm [J]. Computers & Operations Research, 2009, 36(6): 1916-1923.
13. SANDERCOCK W G. Union gas applies expert system to optimize pipe line [J]. Pipeline Industry, 1994, 77(9): 37-40.
14. CHEBOUBA A, YALAOUI F, SMATI A, et al. Optimization of natural gas pipeline transportation using ant colony optimization [J]. Computer & Operations Research, 2009, 36: 1916-1923.
15. CAI Maolin, KAGAWA Toshiharu. Energy consumption analysis and evaluation system for pneumatic system [J]. Chinese Journal of Mechanical Engineering, 2007, 43(9): 69-74. (in Chinese)
16. XIANG Yanhai. Hydraulic calculation of urban gas pipeline network [J]. Iron & Steel Technology, 2000(4): 37-41.
17. QIN Dao, WANG Jianhong. Topology analysis and calculation for flow network [J]. Journal of Beijing University of Chemical Technology, 2002, 29(2): 24-28. (in Chinese)
18. SMC (China) Co., Ltd. Modern practical pneumatic technology [M]. Beijing: China Machine Press, 2008. (in Chinese)
19. DENG Dunxia, HE Liqing. Fluid flow handbook [M]. Beijing: China Petrochemical Press, 2004. (in Chinese)