Design of total water networks of multiple properties based on operator potential concepts and an iterative procedure

článek v časopise ve Web of Science, Jimp

angličtina

The design of property-based total water networks by using the concepts of operator potential is investigated with an iterative approach. The precedence order of demands is identified with the operator potential values of demands. The internal sources to be regenerated are selected based on the values of operator potential of sources. A linear programming approach is used to determine the allocation of sources to demands. With the proposed method, the networks which meet both the requirements of demands and environmental regulations can be obtained. Two examples are studied to illustrate the proposed method. It is shown that the results obtained by this work are comparable to that obtained by mathematical programming method in the literature. For Example 1, flowrate of regenerated stream is reduced 28.5% compared to that in the literature results with almost the same freshwater consumption. In addition, the number of interconnections for this work is smaller than that of literature, which means that the design structure of this work is simpler. For Example 2, freshwater consumption is reduced by 4.29% with almost the same regeneration flowrate. However, the number of interconnections for this work is 24, which is higher than 23, that is the value of the literature result. Compared to graphical methods, the method proposed in this paper can handle the networks with more than three properties. Compared to mathematical programming methods, the proposed method has clear engineering meaning.

Total water networks; property integration; operator potential; linear programming; process design

Zhang, L., Li, A.H., Jia, X.X., Klemeš, J.J., Liu, Z.Y.

23. 4. 2020

SAGE PUBLICATIONS LTD

0958-305X

Energy and Environment

1

Spojené království Velké Británie a Severního Irska

0958305X20

0958305X20

17

https://journals.sagepub.com/doi/10.1177/0958305X20919408