### Abstract

A new mixed-integer linear programming (MILP) model for location problem is developed in this work in order to find the optimal position of the desalination plants. The model takes into account the given location and capacity of water intakes, the demands, and the pipelining and plant costs. Feasible and infeasible plant regions are distinguished; the feasible regions are assigned either by triangles or convex polygons; the latter one gives rise to shorter computation. Additional constraints are applied to further decrease the computation time. Applicability of the new model is successfully demonstrated on two examples.

Original language | English |
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Title of host publication | CHISA 2006 - 17th International Congress of Chemical and Process Engineering |

Publication status | Published - 2006 |

Event | CHISA 2006 - 17th International Congress of Chemical and Process Engineering - Prague, Czech Republic Duration: Aug 27 2006 → Aug 31 2006 |

### Other

Other | CHISA 2006 - 17th International Congress of Chemical and Process Engineering |
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Country | Czech Republic |

City | Prague |

Period | 8/27/06 → 8/31/06 |

### Fingerprint

### ASJC Scopus subject areas

- Chemical Engineering(all)

### Cite this

*CHISA 2006 - 17th International Congress of Chemical and Process Engineering*

**Desalination location model using mixed-integer linear programming.** / Emhamed, A. M.; Czuczai, B.; Horváth, L.; Rév, E.; Lelkés, Z.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*CHISA 2006 - 17th International Congress of Chemical and Process Engineering.*CHISA 2006 - 17th International Congress of Chemical and Process Engineering, Prague, Czech Republic, 8/27/06.

}

TY - GEN

T1 - Desalination location model using mixed-integer linear programming

AU - Emhamed, A. M.

AU - Czuczai, B.

AU - Horváth, L.

AU - Rév, E.

AU - Lelkés, Z.

PY - 2006

Y1 - 2006

N2 - A new mixed-integer linear programming (MILP) model for location problem is developed in this work in order to find the optimal position of the desalination plants. The model takes into account the given location and capacity of water intakes, the demands, and the pipelining and plant costs. Feasible and infeasible plant regions are distinguished; the feasible regions are assigned either by triangles or convex polygons; the latter one gives rise to shorter computation. Additional constraints are applied to further decrease the computation time. Applicability of the new model is successfully demonstrated on two examples.

AB - A new mixed-integer linear programming (MILP) model for location problem is developed in this work in order to find the optimal position of the desalination plants. The model takes into account the given location and capacity of water intakes, the demands, and the pipelining and plant costs. Feasible and infeasible plant regions are distinguished; the feasible regions are assigned either by triangles or convex polygons; the latter one gives rise to shorter computation. Additional constraints are applied to further decrease the computation time. Applicability of the new model is successfully demonstrated on two examples.

UR - http://www.scopus.com/inward/record.url?scp=34748870761&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34748870761&partnerID=8YFLogxK

M3 - Conference contribution

SN - 8086059456

SN - 9788086059457

BT - CHISA 2006 - 17th International Congress of Chemical and Process Engineering

ER -