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Software - Modelling and Simulation of Water Networks based on Loop Method

Arsene, Corneliu

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  <identifier identifierType="DOI">10.5281/zenodo.3357455</identifier>
      <creatorName>Arsene, Corneliu</creatorName>
      <affiliation>Nottingham Trent University, United Kingdom</affiliation>
    <title>Software - Modelling and Simulation of Water Networks based on Loop Method</title>
    <subject>Water Distribution System</subject>
    <subject>Loop Method</subject>
    <subject>Simulator Algorithm</subject>
    <contributor contributorType="ContactPerson">
      <contributorName>Arsene, Corneliu</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-5982-0503</nameIdentifier>
      <affiliation>Nottingham Trent University, United Kingdom</affiliation>
    <date dateType="Issued">2017-01-17</date>
  <resourceType resourceTypeGeneral="Software"/>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.736935</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Simulator algorithm for water networks based on loop method.&lt;/p&gt;

&lt;p&gt;Simulation of water networks by using the loop method and Newton-Raphson numerical method (wat_dem1.m) : the simulation starts with running the Matlab function wat_dem1.m&lt;/p&gt;

&lt;p&gt;There are given the nodal consumptions, the characteristics of the pipes, head value of reference main head node, inflows/outflows.&lt;/p&gt;

&lt;p&gt;sim_demo_pb.m - simulation of water networks by using the loop method and Newton-Raphson numerical method.&lt;/p&gt;

&lt;p&gt;determine_flowsi_pb.m - this function uses Depth First search to calculate the following variables: the loop incidence matrix Mlp, the topological incidence matrix Anp, initial pipe flows flows_i, chord/co-tree pipes.&lt;/p&gt;

&lt;p&gt;shortest_path.m - This function calculated shortest path between two nodes in the spanning tree.&lt;/p&gt;

&lt;p&gt;This simulator can be applied to any water network not containing non-linear controlling hydraulic elements although some &amp;ldquo;minor modifications&amp;rdquo; would be necessary in the various Matlab files such as :&lt;/p&gt;

&lt;p&gt;in sim_demo_pb.m at line 98 the number of loops l is 28, so for a different water network the number of loops would be different so it is better to change the number 28 with the letter l which stands for the number of loops. other &amp;ldquo;minor modifications&amp;rdquo; would be for example in the file determine_flowsi_pb.m at line 408, to remove nodes 65, 61, 62, 35, 34 and node 33 which are fixed head nodes but in a different water network these numbers may not mean anything. other similar &amp;ldquo;minor modifications&amp;rdquo;. This algorithm would benefit also from the addition of non-linear controlling elements based for example on the paper Alvarruiz et al. (2018) &amp;ldquo;Efficient modeling of active control valves in water distribution systems using the loop method&amp;rdquo;, J. Water Resour. Plann. Manage.&lt;/p&gt;

&lt;p&gt;The project has also a DoI:&amp;nbsp;10.5281/zenodo.3357455 &amp;nbsp;(&lt;a href=""&gt;;/a&gt;zenodo.3357455)&lt;/p&gt;

&lt;p&gt;The license for this software is a Creative Commons Attribution 4.0 International License (CCL).&lt;/p&gt;

&lt;p&gt;The simulator algorithm based on the loop method is also described in the publications from below :&lt;/p&gt;

&lt;p&gt;Corneliu T.C. Arsene, &amp;quot;Uncertainty Quantification of Water Distribution System Measurement Data based on a Least Squares Loop Flows State Estimator&amp;quot;, arXiv:1701.03147,&amp;nbsp;&lt;a href=""&gt;;/a&gt;, 2017.&lt;/p&gt;

&lt;p&gt;Corneliu T.C. Arsene, Bogdan Gabrys, &amp;ldquo;Mixed simulation-state estimation in water distribution systems based on a least squares loop flows state estimator&amp;rdquo;, Applied Mathematical Modelling, 2014.&lt;/p&gt;

&lt;p&gt;Corneliu T. C. Arsene, Bogdan Gabrys, David Al-Dabass: Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection. Expert Syst. Appl. 39(18), 2012.&lt;/p&gt;

&lt;p&gt;Arsene, C.T.C., Bargiela, A., and Al-Dabass, D. &amp;ldquo;Modelling and Simulation of Network Systems based on Loop Flows Algorithms&amp;rdquo;, Int. J. of Simulation: Systems,Science &amp;amp; Technology Vol.5, No. 1 &amp;amp; 2, pp61-72, June 2004.&lt;/p&gt;

&lt;p&gt;Arsene, C.T.C., &amp;amp; Bargiela, A., &amp;ldquo;Decision support for forecasting and fault diagnosis in water distribution systems &amp;ndash; robust loop flows state estimation technique&amp;rdquo;, In Water Software Systems: theory and applications, Research Studies Press Ltd., UK, Vol. 1, 2001.&lt;/p&gt;

&lt;p&gt;Arsene, C.T.C., Bargiela, A., Al-Dabass, D., &amp;ldquo;Simulation of Network Systems based on Loop Flows Algorithms&amp;rdquo;, In the proceedings of the 7th Simulation Society Conference - UKSim 2004, Oxford, U.K., 2004, ISBN 1-84233-099-3, UKSIM-2004.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Corneliu T.C. Arsene, \"Uncertainty Quantification of Water Distribution System Measurement Data based on a Least Squares Loop Flows State Estimator\", arXiv:1701.03147,\u00a0, 2017."]}</description>
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