Pressure-Dependent Models in Ship Piping Systems

Abstract

This paper aims to evaluate the feasibility of pressure-dependent models in the design of ship piping systems. For this purpose, a complex ship piping system is designed to operate in firefighting and bilge services through jet pumps. The system is solved as pressure-dependent model by the piping system analysis software EPANET and by a mathematical approach involving a piping network model. This results in a functional system that guarantees the recommendable ranges of hydraulic state variables (flow and pressure) and compliance with the rules of ship classification societies. Through this research, the suitability and viability of pressure-dependent models in the simulation of a ship piping system are proven.

Keywords

Pressure-dependent models / Ship piping systems / Bilge systems / Firefighting systems / Piping network models

References

[1] Asmara A. Pipe routing framework for detailed ship design, 2013, Nederland: Association for Studies and Student Interest in Delft, 1-11

[2] Boulos PF, Lansey KE, Karney BW. Comprehensive water distribution systems analysis handbook for engineers and planners, 2006, Pasadena: MWH Soft

[3] Bureau Veritas (2009) Rules for the classification of ships-part C: machinery, electricity, automation and fire protection. Neuilly-sur-Seine

[4] Cassee HJ (1992) Piping systems. In: Harrington RL (ed) Marine engineering. Society of Naval Architects and Marine Engineers, Jersey City, pp 782–845

[5] Elger DF, Mclam ET, Taylor SJ. A new way to represent jet pump performance. J Fluids Eng, 1991, 113(3): 439-444

[6] Elhay S, Piller O, Deuerlein J, Simpson A. A robust, rapidly convergent method that solves the water distribution equations for pressure-dependent models. J Water Resour Plan Manag, 2015, 142(2): 1-11

[7] Eyres DJ, Bruce GJ. Eyres DJ, Bruce GJ. Pumping and piping arrangements. Ship construction, 2012, Oxford: Butterworth-Heinemann, 315-325

[8] Feitosa JC, Botrel TA, Pinto JM (1997) Strategies to improve the performance of the operational limit of Venturi-type injectors. I Iberian Congress and III National Fertigation Congress (I Congreso Ibérico y III Congreso Nacional de Fertirrigación). Murcia, Spain, pp 446–449. (in Portuguese)

[9] Fuertes VS, García-Serra J, Iglesia PL, López G, Martínez FJ, Pérez R. Modeling and design of water supply networks, 2002, Spain: Polytechnic University of Valencia (Universidad Politécnica de Valencia), ISBN: 84-89487-06-5. (in Spanish)

[10] Jiang WY, Lin Y, Chen M, Yu YY. A co-evolutionary improved multi-ant colony optimization for ship multiple and branch pipe route design. Ocean Eng, 2015, 102: 63-70

[11] Kang SS, Sehyun M, Hah SH. A design expert system for auto-routing of ship pipes. J Ship Prod, 1999, 15(1): 1-9

[12] Katen JH (2007) Engine room. In: Dokkum KV (ed) Ship knowledge. Ship design, construction and operation. Dokmar Maritime, Vlissingen, pp 236–261

[13] Kim SH, Ruy WS, Seon B. The development of a practical pipe auto-routing system in a shipbuilding CAD environment using network optimization. Int J Naval Arch Ocean Eng, 2013, 5(3): 468-477

[14] Li R, Liu Y-J, Hamada K. Research on the ITOC based scheduling system. J Mar Sci Appl, 2010, 9(4): 355-362

[15] Manzano J (2008) Analysis of the venturi injector and improvement of the installation in the localized irrigation systems. Ph.D, thesis. Polytechnic University of Valencia (Universidad Politécnica de Valencia), Spain, 56-61. (in Spanish)

[16] Molina D, Quesada A, Febles Y, Ramos LC. The computational simulation in the design of ship piping systems. J Hydraul Environ Eng, 2017, 38(2): 29-43 ISSN: 1815-591X (in Spanish)

[17] More JJ (1977) The Levenberg-Marquardt algorithm: implementation and theory. U.S Department of Energy Office of Scientific and Technical Information. Available from www.osti.gov/servlets/purl/7256021 [accessed on July. 7, 2019]

[18] Rossman LA. EPANET 2.0. EPANET users manual drinking water research division, risk reduction engineering laboratory, Office of Research and Development, 1994, Cincinnaty: U.S. Environmental Protection Agency

[19] Sayyed MAHA, Gupta R, Tanyimboh TT. Noniterative application of EPANET for pressure dependent modelling of water distribution systems. Water Resour Manag, 2015, 29(9): 3227-3242

[20] Sotelo G (1982) General hydraulic vol 1. Principles. Limusa, Mexico City, 294–295. (in Spanish)

[21] Tanyimboh T, Tahar B, Templeman A (2003) Pressure-driven modelling of water distribution systems. Water Sci Technol Water Supply 3(1-2):255–261. https://doi.org/10.2166/ws.2003.0112

[22] Taylor DA. Introduction to marine engineering, 1996, Oxford: Butterworth-Heinemann, 112-134

[23] Todini E. A more realistic approach to the extended period simulation of water distribution networks. Proc. International Conference on Computing and Control for the Water Industry, 2003, Lisse, Nederland: Swets and Zeillinger, 173-213

[24] Walski TM, Chase DV, Savic DA, Grayman W, Beckwith S, Koelle E. Advanced water distribution modeling and management, 2003, Waterbury: Haestead Press, 30-38 ISBN: 0-9714141-2-2

[25] Walski TM, Blakley D, Evans M, Whitman B. Verifying pressure dependent demand modeling. Procedia Eng, 2017, 186: 364-371

[26] Winoto SH, Li H, Shah DA. Efficiency of jet pumps. J Hydraul Eng, 2000, 126(2): 150-156