A multi-objective optimisation approach to optimising water allocation in urban water systems

S. Jamshid Mousavi; Kourosh Behzadian; Joong Hoon Kim; Zoran Kapelan

doi:10.1007/978-3-662-47926-1_42

A multi-objective optimisation approach to optimising water allocation in urban water systems

S. Jamshid Mousavi, Kourosh Behzadian, Joong Hoon Kim, Zoran Kapelan

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

1 Citation (Scopus)

Abstract

Lack of available surface water resources and increasing depletion of groundwater are the major challenges of urban water systems (UWSs) in semi-arid regions. This paper presents a long term multi-objective optimisation model to identify optimal water allocation in UWS. The objectives are to maximize reliability of water supply and minimize total operational costs while restricting the annual groundwater withdrawal. Pumping water from a dam reservoir and water recycling schemes are two alternatives for supplying water to increasing water demands over the planning horizon. The developed approach is demonstrated through its application to the UWS of Kerman City in Iran. The Pareto-optimal solutions are obtained as a trade-off between reliability of water supply and operational costs in the Kerman UWS. The results show that addition of recycled water to the water resources can provide the least cost-effective and most efficient way for meeting future water demands in different states of groundwater abstractions.

Original language	English
Title of host publication	Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015
Editors	Zong Woo Geem, Joong Hoon Kim
Publisher	Springer Verlag
Pages	447-457
Number of pages	11
ISBN (Print)	9783662479254
DOIs	https://doi.org/10.1007/978-3-662-47926-1_42
Publication status	Published - 2016
Event	2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	382
ISSN (Print)	2194-5357

Other

Other	2nd International Conference on Harmony Search Algorithm, ICHSA 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	15/8/19 → 15/8/21

Keywords

Multi-objective Optimization
Urban water systems
Water allocation

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-662-47926-1_42

Cite this

Mousavi, S. J., Behzadian, K., Kim, J. H., & Kapelan, Z. (2016). A multi-objective optimisation approach to optimising water allocation in urban water systems. In Z. W. Geem, & J. H. Kim (Eds.), Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 (pp. 447-457). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_42

A multi-objective optimisation approach to optimising water allocation in urban water systems. / Mousavi, S. Jamshid; Behzadian, Kourosh; Kim, Joong Hoon et al.
Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015. ed. / Zong Woo Geem; Joong Hoon Kim. Springer Verlag, 2016. p. 447-457 (Advances in Intelligent Systems and Computing; Vol. 382).

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

Mousavi, SJ, Behzadian, K, Kim, JH & Kapelan, Z 2016, A multi-objective optimisation approach to optimising water allocation in urban water systems. in ZW Geem & JH Kim (eds), Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015. Advances in Intelligent Systems and Computing, vol. 382, Springer Verlag, pp. 447-457, 2nd International Conference on Harmony Search Algorithm, ICHSA 2015, Seoul, Korea, Republic of, 15/8/19. https://doi.org/10.1007/978-3-662-47926-1_42

Mousavi SJ, Behzadian K, Kim JH, Kapelan Z. A multi-objective optimisation approach to optimising water allocation in urban water systems. In Geem ZW, Kim JH, editors, Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015. Springer Verlag. 2016. p. 447-457. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-662-47926-1_42

Mousavi, S. Jamshid ; Behzadian, Kourosh ; Kim, Joong Hoon et al. / A multi-objective optimisation approach to optimising water allocation in urban water systems. Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015. editor / Zong Woo Geem ; Joong Hoon Kim. Springer Verlag, 2016. pp. 447-457 (Advances in Intelligent Systems and Computing).

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AB - Lack of available surface water resources and increasing depletion of groundwater are the major challenges of urban water systems (UWSs) in semi-arid regions. This paper presents a long term multi-objective optimisation model to identify optimal water allocation in UWS. The objectives are to maximize reliability of water supply and minimize total operational costs while restricting the annual groundwater withdrawal. Pumping water from a dam reservoir and water recycling schemes are two alternatives for supplying water to increasing water demands over the planning horizon. The developed approach is demonstrated through its application to the UWS of Kerman City in Iran. The Pareto-optimal solutions are obtained as a trade-off between reliability of water supply and operational costs in the Kerman UWS. The results show that addition of recycled water to the water resources can provide the least cost-effective and most efficient way for meeting future water demands in different states of groundwater abstractions.

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A multi-objective optimisation approach to optimising water allocation in urban water systems

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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