Water catching systems optimization from depth wells.
Alexandrescu, Aurora ; Milos, Teodor
1. INTRODUCTION
Profitability of water distribution activity depends largely on the
relationships between operational capability and service costs, related
to supplier's performance, volume of distributed water and
effective operating costs, (Alexandrescu et. al., 2008a). The main
variables that influence the total selling price are required investment
value, specific consumption of electrical energy for pumping power, unit
price of the electrical energy and total volume of monthly consumed
water billed. The selection of rehabilitation and modernization measures
must rely on market studies results that appropriately establish the
quantities of water that may be distributed and billed. Present and
future water requirements will be determined based on the analysis of
actual operation data and on estimation of future trends in water
consumption on national and international levels.
Operational efficiency for a pumping supply system at deep well is
determined by the type of pump used. Best performances are obtained
when, so that user's needs to be met, submersible pumps are set to
operate at ratings located in the neighbourhood of their maximal
efficiency which at its turn must have optimal values for the best
machines located in the respective class. A case met frequent practice
is the collecting front of the phreatic aquiferous from major riverbed
of water--course, materialized in the shape of a battery of wells with
the specific features identical. The optimization calculation will use
two target functions: total maximum efficiency and total electric power
consumption required for transport of each cubic meter of supplied
water, and cubic meter of sewage water, respectively, (Alexandrescu et
al., 2008c). The optimization process will take into account that the
profitability of water distribution activity depends on the relationship
between supply capability and operating costs. Therefore, the process
depends on the volume of required investment, on the specific
consumption electrical power for pumping, on the price of electricity,
as well as on the volume of water billed on a monthly basis.
It is obtaining the equivalent hydraulic resistance modulus
adequate to the different configurations of exploitation of the wells
battery [K.sub.gk], k = 1,2, ..., n and of the front--tank--pumping
station ensemble (in the case of front collecting with two branches
coupled on same coupling) rolling the personal programme of calculus in
MATHCAD. It is building the specific features of load equivalent of the
battery of wells in different configurations of exploitation with k
active drilling ([K.sub.go] and [alpha] are coefficients):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1)
Using the programme MATHCAD are established the following
parameters:
--Pumping debit of active wells ensemble:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (2)
--The load in the knot n, j - 1, respective at the coupling of
pump:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (3)
--The load in the section of confluence of the collecting piping
front's branch, (Klarbring et al., 2005):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (4)
--The average debit pumped from each active well:
q(n, [Z.sub.i]) = Q(n, [Z.sub.i])/[n.sub.0]. (5)
--Load damage on portion of pipe j-1, j):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. (6)
--Load damage on the communication ([P.sub.k]-k), (Shun & Lee,
2002):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. (7)
It is used the following notations: hydraulic resistance modulus of
the repression communication, [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE
IN ASCII]; hydraulic resistance modulus of the portion of pipes between
well's branching, [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN
ASCII]; hydraulic resistance modulus of the confluences: on the side
branch, [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]; on the
principal branch (collector), [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE
IN ASCII]; hydraulic resistance modulus of the bundle portion of pipe
(nO), [M.sub.rleg] ; aquiferous's hydrodynamic level, [Z.sub.i];
energetic level in the going out section of collector, [Z.sub.p].
The optimization problem consists in the finding of the values for
the functional parameters of the pumping station, what establish a
minimum yearly average total specific consumption. It must found those
values of the parameters D, L, n what lead at the objective
function's minimum, namely at the economic function's minimum
CE(D, n). The objective function of the optimization problem CE
represents the annual average specific consumption total of energy
generated by the water's transport with the pipes under pressure,
(MW/year), (Alexandrescu et al., 2008b), and has the following
mathematical relation:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. (8)
It is used the following notations in relation (8): [MATHEMATICAL
EXPRESSION NOT REPRODUCIBLE IN ASCII]--investment in pumping station;
k--equivalent absolute rugosity of pipe; n--revolution of pump;
[W.sub.o]--water volume drawn of source; [p.sub.o]--unitary cost;
[alpha]--ccoefficient that takes into account the load state;
[gamma]--constant of hydraulic slope; [a.sub.p]"--yearly average
expenses quota in pumping station, [a.sub.R]"--yearly average
expenses quota in pipe, [T.sub.r]--is the duration normalized of
existence r component, (Burns, 2006):
2. EXPERIMENTAL RESULTS
It is propose an analyse method based on the hydraulic
system's mathematical shaping; the method is used in drainages
catching Timisesti for drinkable water. This hydraulic system feeds with
water Iasi city, from Romania. Using the personal programs in MATHCAD
are calculated the loads in the knot k, [H.sub.k] and the loads at the
coupling of repression [H.sub.pk] ; also are estimated for each active
pump the effective debit pumped [Q.sub.pk], the pump's output
[[eta].sub.pk] and the power demanded at the pump's shaft
[N.sub.pk], (Klarbring et.al., 2005). Figure 1 shows the variation of
the economic efficiency of investment depending on time for
rehabilitation hydraulic systems Timisesti, after optimization. The
symbols utilized are following: I--necessary investment for installation
rehabilitation; r--monthly average rate for updating; [u.sub.e] (-)
actualisation coefficient; t (month) recovery time of investment;
[p.sub.e] ([euro]/kWh)--electric energy unit cost.
[FIGURE 1 OMITTED]
3. CONCLUSIONS
The loads under that work the pumps differ from a well at another;
the debit, the output and the specific consumption of energy vary
depending on the position of well in system, because of the load damage
registered between the collector's knots and of local hydraulic
resistance's variation at confluences (Douglass, 2004).
The results obtained through the method's application proposed
in the front's case of collecting piping 1 Timisesti, harmonizes
very good with the dates obtained through the measurements effected in
arrangement.
The deviation from the optimum parameter's values leads at the
growth adequate of the operational consumption of energy for pumping.
These growths depend by the relative deviation given the optimum
parameters considered and the influence what it presents about total
consumptions. Such deviations are justified if the growth of the total
specific consumptions of energy generated by the supply of water is
compensated of a reduction of the total specific consumptions of energy
associated to the substructure in that is framing the supplies with
water studied.
4. ACKNOWLEDGMENT
The authors wish to thank the National Centre of Management
Programmers for their support, financial contract 21-041/2007.
5. REFERENCES
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Alexandrescu, A., Alexandrescu, S. A. & Alexandrescu, C. A.
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