Leveraging Urban Water Distribution Systems with Smart Sensors for Sustainable Cities

. 2024 Nov 12;24(22):7223. doi: 10.3390/s24227223

Algorithm 3 Water Savings Algorithm

Require:

T h

: Threshold value for optimization

1:
Load Data:
2:
$d f \leftarrow Read Excel file named f i l e_n a m e$
3:
function calculate_saving( $r o w$ )
4:
$b a s e_d e m a n d \leftarrow Demand base from r o w$
5:
$l p s_d e m a n d \leftarrow Demand lps from r o w$
6:
if $d e m a n d a_l p s < b a s e_d e m a n d \times T H$ then
7:
$s a v i n g_l p s \leftarrow b a s e_d e m a n d - l p s_d e m a n d$
8:
$s a v i n g_l p d \leftarrow s a v i n g_l p s \times 60 \times 60 \times 24$
9:
$I n h a b i t a n t s \leftarrow Inhabitants of node from r o w$
10:
$s a v i n g_i n h a b i t a n t \leftarrow s a v i n g_l p d / i n h a b i t a n t s$
11:
return $s a v i n g_i n h a b i t a n t$
12:
else
13:
print “Optimization not achieved in ”, $r o w [^{'} i d_n o d e^{'}]$
14:
return 0
15:
end if
16:
end function
17:
function optimize_water_savings( $d f$ )
18:
$d f [^{'} s a v i n g_l p d^{'}] \leftarrow Apply$ calculate_saving function to each row
19:
$t o t a l_s a v i n g \leftarrow Sum of savings where s a v i n g_l p d > 0$
20:
print “Total savings: ”, $t o t a l_s a v i n g$ , “ liters/day”
21:
$d f_o p t i m i z e d \leftarrow Select rows where s a v i n g_l p d > 0$
22:
$d f_o p t i m i z e d \leftarrow Sort rows by s a v i n g_l p d in desc . ord .$
23:
return $d f_o p t i m i z e d$ , $t o t a l_s a v i n g$
24:
end function