Multi-stage linear programming optimization for pump scheduling
dc.contributor.author | Puleo, V. | |
dc.contributor.author | Morley, Mark S. | |
dc.contributor.author | Freni, G. | |
dc.contributor.author | Savic, Dragan | |
dc.date.accessioned | 2014-09-04T13:16:55Z | |
dc.date.issued | 2014-04-23 | |
dc.description.abstract | This study presents a methodology based on Linear Programming for determining the optimal pump schedule on a 24-hour basis, considering as decision variables the continuous pump flow rates which are subsequently transformed into a discrete schedule. The methodology was applied on a case study derived from the benchmark Anytown network. To evaluate the LP reliability, a comparison was made with solutions generated by a Hybrid Discrete Dynamically Dimensioned Search (HD-DDS) algorithm. The cost associated with the result derived from the LP initial solution was shown to be lower than that obtained with repeated HD-DDS runs with differing random seeds. | en_GB |
dc.identifier.citation | Vol. 70, pp. 1378 - 1385 | en_GB |
dc.identifier.doi | 10.1016/j.proeng.2014.02.152 | |
dc.identifier.uri | http://hdl.handle.net/10871/15439 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2013 The Authors. Published by Elsevier Ltd. Open access. Published under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) licence: http://creativecommons.org/licenses/by-nc-nd/3.0/ | en_GB |
dc.subject | Pump scheduling | en_GB |
dc.subject | Optimization | en_GB |
dc.subject | Linear Programming | en_GB |
dc.subject | HD-DDS | en_GB |
dc.title | Multi-stage linear programming optimization for pump scheduling | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2014-09-04T13:16:55Z | |
dc.identifier.issn | 1877-7058 | |
dc.description | 12th International Conference on Computing and Control for the Water Industry, CCWI2013 | en_GB |
dc.identifier.journal | Procedia Engineering | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ |
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Except where otherwise noted, this item's licence is described as © 2013 The Authors. Published by Elsevier Ltd. Open access. Published under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) licence: http://creativecommons.org/licenses/by-nc-nd/3.0/