An efficient heuristic procedure for the optimal design of wastewater treatment systems
Pedro M. Castro,
Henrique A. Matos and
Augusto Q. Novais
Resources, Conservation & Recycling, 2007, vol. 50, issue 2, 158-185
Abstract:
This paper presents a new approach for the optimal design of wastewater treatment systems. An algorithm that can be divided in two parts is proposed for finding global optimal solutions to the problem. The first part comprises a new linear program formulation that is used to generate good starting points for the solution of the general non-linear program (second part). Since the starting point is dependent on the treatment sequence, all possible treatment sequences are considered and thus multiple starting points are generated. The best solution of the several non-linear problems that are solved is then assumed to be the global optimal solution, although there is no theoretical guarantee that this is so. The proposed algorithm has been compared to a global optimisation solver on a set of example problems taken from the literature and the results show that the same global optimal solutions can be obtained in significantly less time when our approach is used.
Keywords: Water network; Effluents; Pollutants; Recycling; Distributed treatment; Mathematical programming; Optimisation solvers (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921344906001923
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:recore:v:50:y:2007:i:2:p:158-185
DOI: 10.1016/j.resconrec.2006.06.013
Access Statistics for this article
Resources, Conservation & Recycling is currently edited by Ming Xu
More articles in Resources, Conservation & Recycling from Elsevier
Bibliographic data for series maintained by Kai Meng ().