Mathematical Programming with Water-Oxygen Pinch Analysis in Wastewater Treatment Plant

Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ENERGYCONF05_012

تاریخ نمایه سازی: 20 دی 1394

Abstract:

Water is utilized in various processes in every industries and its outcome is wastewater, which has to be refined qualitatively prior to be recharged to the environment. Water pinch analysis is known as an algorithm to design and rectify the system, which transfers mass within process equipment, and eventually lead to minimization of fresh water demand and optimization of the regenerated water. Furthermore, whilst analyzing Oxygen pinch, the oxygen demand will be considered in order to deal with the wastewater quality. In this paper, we seek to develop a mathematical model based on water pinch analysis in order to optimize wastewater-refining networks so that by considering the impact of multiple restricting pollutants in the network, the wastewater can be minimized and the quality of which can be watched simultaneously. The attempts have been made to solve and improve the wastewater-refining network using GAMS software. The result indicates the prospect of optimal structuring the network in order to reduce the operating costs by 12% in the wastewater treatment plant. In order to credit the proposed case, the density of COD parameter in the process of treatment has been studied. According to the calculation made based on Wang and Smith theories, this parameter has a density of 118.6 ppm. This will confirm the findings based on the proposed case and validate it as an innovative method to refine wastewater in any refinery plant with regard to the reduction in operation cost

Keywords:

Water Pinch , Oxygen Pinch , Wastewater Treatment Plant. Refinery , GAMS

Authors

zahra jandaghian

Ph.D. Candidate and Research Assistant in the fields of: Energy efficiency, and its interaction in air pollution, Green energies, Renewable energies

hashem akbari

Professor. Research fields: Integrated building control and optimization, Urban heat islands, Global cooling.

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