Abstract
More than one billion people do not have access to clean drinking water both in urban and rural areas in the world. This is why, according to a number of scientists involved in drinking water engineering, hundreds of kilometers of networks for water distribution will be constructed or rehabilitated in the coming decades because of both population growth and the crucial need of water services. Therefore the need to optimally design these systems will be increasing everywhere (North and South) and will keep on increasing, in particular in developing countries, very poorly equipped and in need to make strong efforts for the construction of such systems. According to literature, the three main design constraints that are generally met in water distribution projects are water quality, pumping energy, and investment cost [1–4]. In most of the cases, the design problem formulates as follows: “a certain population of density \( {\sigma_{\rm{p}}} \) grouped in households, distributed over a given area, needs to be supplied in drinking water through a distribution network. A lot of technically acceptable solutions can be found to this problem. Some methods differ from the others in terms of total head losses, overall residence time, initial or total investment due to the design” [5]. The challenge for engineers relies on how to optimally design the network in terms of pumping energy and the evolution of water quality in the network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gupta I, Bassin J, Gupta A, Khanna P. Optimization of water distribution systems. Environ Softw. 1993;8:101–13.
Savic D, Walters G. Genetic algorithms for least-cost design of water distribution networks. J Water Res Pl-ASCE. 1997;123:67–77.
Gupta I, Gupta A, Khanna P. Genetic algorithm for optimization of water distribution systems. Environ Modell Softw. 1999;14:437–46.
Klempous R, Kotowski J, Nikodem J, Ulasiewicz J. Optimization algorithms of operative control in water distribution systems. J Comput Appl Math. 1997;84:91–9.
Bieupoude P. Approche constructal pour l’optimisation de réseaux hydrauliques, Thèse de doctorat, Université de Perpignan, France et 2iE Institut International d’Ingénierie de l’Eau et de l’Environnement; Ouagadougou, Burkina Faso; 2011
Chu C, Lin M, Liu G, Sung Y. Application of immune algorithms on solving minimum-cost problem of water distribution network. Math Comput Model. 2008;48:1888–900.
Baños R, Bans R, Gil C, Reca J, Montoya F. A memetic algorithm applied to the design of water distribution networks. Appl Soft Comput. 2010;10:261–6.
Mustonen S, Tissari S, Huikko L, Kolehmainen M, Lehtola M, Hirvonen A. Evaluating online data of water quality changes in a pilot drinking water distribution system with multivariate data exploration methods. Water Res. 2008;42:2421–30.
Bolognesi A, Bragalli C, Marchi A, Artina S. Genetic heritage evolution by stochastic transmission in the optimal design of water distribution network. Adv Eng Softw. 2010;41:792–801.
Simpson A, Dandy G, Murphy L. Genetic algorithm compared to other techniques for pipe optimization. J Water Res Pl-ASCE. 1994;120:423–43.
Kohpaei J, Sathasivan A. Chlorine decay prediction in bulk water using the parallel second order model: an analytical solution development. Chem Eng J. 2011;171:232–41.
Bai D, Pei-jun Yang P, Song L. Optimal design method of looped water distribution network. Systems Engineering – Theory and Practice. 2007;27:137–43.
Todini E. Looped water distribution networks design using a resilience index based heuristic approach. Urban Water. 2000;2:115–22.
Bejan A. Shape and structure from engineering to nature. UK: Cambridge; 2000.
Bejan A, Lorente S. Design with constructal theory. Hoboken: Wiley; 2008.
Azoumah Y, Mazet N, Neveu P. Constructal network for heat and mass transfer in a solid-gas reactive porous medium. Int J Heat Mass Tran. 2004;47:2961–70.
Azoumah Y, Neveu P, Mazet N. Constructal design combined with entropy generation minimization for solid–gas reactors. Int J Therm Sci. 2006;45:716–28.
Tondeur D, Fan Y, Luo L. Constructal optimization of arborescent structures with flow singularities. Chem Eng Sci. 2009;64(2009):3968–82.
Miguel A. Dendridic structures for fluid flow: laminar turbulent and constructal design. J Fluid Struc. 2010;26:330–5.
Bejan A, Marden H. The constructal unification of biological and geophysical design. Phys Life Rev. 2009;6:85–102.
Bejan A, Lorente S. The constructal law and the evolution of design in nature. Phys Life Rev. 2011;8:209–40.
Bejan A, Rocha L, Lorente S. Thermodynamic optimization of geometry: T- and Y-shaped constructs of fluid streams. Int J Therm Sci. 2000;39:949–60.
Wechsatol W, Lorente S, Bejan A. Tree-shaped insulated designs for the uniform distribution of hot water over an area. Int J Heat Mass Tran. 2001;44:3111–23.
Wechsatol W, Lorente S, Bejan A. Development of tree-shaped flows by adding new users to existing networks of hot water pipes. Int J Heat Mass Tran. 2002;45:723–33.
Wechsatol W, Lorente S, Bejan A. Tree-shaped network with loops. Int J Heat Mass Tran. 2005;48:573–83.
Wechsatol W, Lorente S, Bejan A. Tree-shaped flow structures with local junction losses. Int J Heat Mass Tran. 2006;49:2957–64.
Gosselin L, Bejan A. Tree networks for minimal pumping power. Int J Therm Sci. 2005;44:53–63.
Gosselin L. Optimization of tree-shaped fluid networks with size limitations. Int J Therm Sci. 2007;46:434–43.
Bieupoude P, Azoumah Y, Neveu P. Environmental optimization of tree-shaped water distribution networks. Water resources management VI. Proceedings of the sixth International Conference on Sustainable Water Resources Management; California 23-25 May; 2011. p. 99–109
Bieupoude P, Azoumah Y Neveu P. Constructal tree-shaped water distribution networks by an environmental approach. Int J Des Nat Ecodyn. (Forthcoming 2011)
Bieupoude P, Azoumah Y, Neveu P. Perspectives to urban water networks computer-based optimization methods by integrating the constructal design. Comp Environ Urban. (Forthcoming 2012)
Chase D, Savic D, Walski T. Haestad methods. In: Water distribution modeling. USA: Haestad press; 2001
Carlier M. Hydraulique générale et appliquée. Paris: Eyrolles; 1972.
Rossman L. EPANET 2 Users manual, Chapter 1. Cincinnati; 2000 EPA, United States.10.1038/News.2008.1004
Bejan A, Lorente S. La loi constructale. Paris: L’Harmattan; 2005.
Azoumah Y, Bieupoude P, Neveu P. Optimal design of tree-shaped water distribution network using constructal approach: T-shaped and Y-shaped architectures optimization and comparison. Int Commun Heat Mass. 2012;39:182–9.
Acknowledgements
The International Institute for Water and Environmental Engineering 2iE, 01 BP 594 Ouagadougou 01, Burkina Faso (www.2ie-edu.org), and its financial partners are gratefully acknowledged for their supports that permitted to successfully achieve this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendices
Appendix: First-Order Construct
We consider the network shown in Fig. 7.1. The Lagrangian function written to minimize the head losses subject to the residence time and the total surface writes as follows:
By differentiating L g with respect to \( {D_{{{h_1}}}} \), \( {D_{{{H_1}}}} \), h, H, \( {\lambda_1} \), and \( {\lambda_2} \), and cancelling all the derivatives, we obtain
From (7.2a) and (7.2b), we can write
This yields in
And, noting that because of the symmetry in the structure \( 2{Q_{{{h_1}}}} = {Q_{{{H_1}}}} \), then we have
From (7.2a) and (7.2b), \( {\lambda_1} \) can be expressed as follows:
By introducing \( {\lambda_1} \) in (7.2c) and in (7.2d) we obtain
This yields in
By dividing member by member (7.9) by (7.10), we obtain
Considering (7.5) and the fact that 2Q h1 = Q H1 , (7.11) gives
Considering (7.12) and (7.2f), we have
This allow writing, by eliminating h,
And then, with (7.12), we can determine h as follows:
From (7.2e), we can write (by multiplying (7.2e) by the quantity Q h1/D² h1)
This yields, by considering (7.15) and (7.13), in
And then
Second-Order Construct
In the same manner as the previous case, the Lagrangian function writes as follows:
By differentiating L g with respect to \( {D_{{{H_1}}}} \), \( {D_{{{H_2}}}} \), \( {D_{{{h_1}}}} \), \( {D_{{{h_2}}}} \), h, H, \( {\lambda_1} \), and \( {\lambda_2} \), and cancelling the derivatives, we obtain
From (7.20c), (7.20d), (7.20e), and (7.20f), one can express \( {\lambda_1} \) as follows:
By combining terms of (7.21), one can write (given that Q H1/Q h1 = 2, Q H2/Q h2 = 2, and Q h1/Q H2 = 2 because of the symmetry)
By introducing these expressions of \( {\lambda_1} \) defined in (7.21), (7.20a), and (7.20b), we obtain
From (7.23), when we eliminate \( {\lambda_2} \), we can obtain by multiplying the numerator and denominator by the quantity \( {{{D_{{{h_2}}}^m}} \left/ {{Q_{{{h_2}}}^n}} \right.} \)
By considering (7.22), we finally obtain
By considering (20 h), and (7.25), the expression of H can be obtained:
And then
By multiplying (20 g) by the quantity Q h2/D² h2 we obtain
From this, we can write
And then
We finally obtain D h2, D H1, and D H2 from (7.22) and from (7.30):
The kth-Order Construct
Consider the situation presented in Fig. 7.2, but taken in a more general form where the network is more and more ramified and has D 0, D 1 until D k . From the dimension h and H, of Fig. 7.3, one can group the pipes into two groups of index h (those in the direction of h) and of index H (those in the direction of H). To understand, see the first and second constructs that are displayed in Figs. 7.1 and 7.2.
In the same way as in previous cases, the Lagrangian function writes
Note that k is the number of pipes in direction of H, or in the direction of h. It is important to mention that, in order to facilitate calculus, we did not consider constructions in which there are i pipes in the direction of H and i + 1 pipes in the direction of h (and vice versa). In this view, on the first construction of Fig. 7.1, k = 1 and on the second construction of Fig. 7.2, k = 2.
By differentiating L g with respect to \( {D_{{{h_i}}}} \), \( {D_{{{H_i}}}} \), h, H, \( {\lambda_1} \), and \( {\lambda_2} \), and cancelling all the derivatives, we obtain
From (7.36a), and (7.36b), we can express \( {\lambda_1} \) as follows:
By combining terms of (7.37), we obtain (given that Q H1/Q h1 = 2, Q H2/Q h2 = 2, …, because of the symmetry of the structure)
By introducing the expressions of \( {\lambda_1} \) (defined in (7.37), (7.36c), and (7.36d)), we obtain
By dividing member by member, the terms of (7.39) and (7.40), we obtain
By multiplying both the numerator and denominator of (7.41) by the quantity \( {D_{{{h_k}}}}^m/{Q_{{{h_k}}}}^n \), as follows
and by taking into account (7.38), we obtain
Verifications
Construction 1: k = 1 leads to
Construction 2: k = 2 leads to
By posing that \( {\left( {{{h} \left/ {H} \right.}} \right)_{\rm{opt}}} = {f_{{{\rm{op}}{{\rm{t}}_k}}}} \), we obtain from (7.43) and from (7.36f) the expressions of H and h as follows:
In order to make \( {Q_{{{h_k}}}}/{Q_{{{H_i}}}},\;{Q_{{{h_k}}}}/{Q_{{{h_i}}}},\;{D_{{{H_i}}}}/{D_{{{h_k}}}} \) and \( {D_{{{h_i}}}}/{D_{{{h_k}}}} \) appear, we multiply (7.36e) by \( {Q_{{{h_k}}}}/D_{{{h_k}}}^2 \), and we obtain
Noting that
and
equation (7.48) can be rewritten as follows:
From this, we finally obtain
where
Then, considering (7.38), and for any j ranging from 1 to k, we obtain
and
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Bieupoude, P., Azoumah, Y., Neveu, P. (2013). Constructal Design of T-Shaped Water Distribution Networks. In: Rocha, L., Lorente, S., Bejan, A. (eds) Constructal Law and the Unifying Principle of Design. Understanding Complex Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5049-8_7
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5049-8_7
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-5048-1
Online ISBN: 978-1-4614-5049-8
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)